Serveur d'exploration sur la télématique

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning

Identifieur interne : 000623 ( Pmc/Corpus ); précédent : 000622; suivant : 000624

The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning

Auteurs : Nuno Rosa ; Maria José Correia ; Joel P. Arrais ; Nuno Costa ; José Luís Oliveira ; Marlene Barros

Source :

RBID : PMC:4099050

Abstract

Periodontal disease (PD) is characterized by a deregulated inflammatory response which fails to resolve, activating bone resorption. The identification of the proteomes associated with PD has fuelled biomarker proposals; nevertheless, many questions remain. Biomarker selection should favour molecules representing an event which occurs throughout the disease progress. The analysis of proteome results and the information available for each protein, including its functional role, was accomplished using the OralOme database. The integrated analysis of this information ascertains if the suggested proteins reflect the cell and/or molecular mechanisms underlying the different forms of periodontal disease. The evaluation of the proteins present/absent or with very different concentrations in the proteome of each disease state was used for the identification of the mechanisms shared by different PD variants or specific to such state. The information presented is relevant for the adequate design of biomarker panels for PD. Furthermore, it will open new perspectives and help envisage future studies targeted to unveil the functional role of specific proteins and help clarify the deregulation process in the PD inflammatory response.


Url:
DOI: 10.1155/2014/569632
PubMed: 25057495
PubMed Central: 4099050

Links to Exploration step

PMC:4099050

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning</title>
<author>
<name sortKey="Rosa, Nuno" sort="Rosa, Nuno" uniqKey="Rosa N" first="Nuno" last="Rosa">Nuno Rosa</name>
<affiliation>
<nlm:aff id="I1">Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Correia, Maria Jose" sort="Correia, Maria Jose" uniqKey="Correia M" first="Maria José" last="Correia">Maria José Correia</name>
<affiliation>
<nlm:aff id="I1">Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Arrais, Joel P" sort="Arrais, Joel P" uniqKey="Arrais J" first="Joel P." last="Arrais">Joel P. Arrais</name>
<affiliation>
<nlm:aff id="I2">Department of Informatics Engineering (DEI), Centre for Informatics and Systems of the University of Coimbra (CISUC), University of Coimbra, 3030-290 Coimbra, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Costa, Nuno" sort="Costa, Nuno" uniqKey="Costa N" first="Nuno" last="Costa">Nuno Costa</name>
<affiliation>
<nlm:aff id="I1">Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Oliveira, Jose Luis" sort="Oliveira, Jose Luis" uniqKey="Oliveira J" first="José Luís" last="Oliveira">José Luís Oliveira</name>
<affiliation>
<nlm:aff id="I3">Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, 3810-193 Aveiro, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Barros, Marlene" sort="Barros, Marlene" uniqKey="Barros M" first="Marlene" last="Barros">Marlene Barros</name>
<affiliation>
<nlm:aff id="I1">Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">25057495</idno>
<idno type="pmc">4099050</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4099050</idno>
<idno type="RBID">PMC:4099050</idno>
<idno type="doi">10.1155/2014/569632</idno>
<date when="2014">2014</date>
<idno type="wicri:Area/Pmc/Corpus">000623</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000623</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning</title>
<author>
<name sortKey="Rosa, Nuno" sort="Rosa, Nuno" uniqKey="Rosa N" first="Nuno" last="Rosa">Nuno Rosa</name>
<affiliation>
<nlm:aff id="I1">Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Correia, Maria Jose" sort="Correia, Maria Jose" uniqKey="Correia M" first="Maria José" last="Correia">Maria José Correia</name>
<affiliation>
<nlm:aff id="I1">Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Arrais, Joel P" sort="Arrais, Joel P" uniqKey="Arrais J" first="Joel P." last="Arrais">Joel P. Arrais</name>
<affiliation>
<nlm:aff id="I2">Department of Informatics Engineering (DEI), Centre for Informatics and Systems of the University of Coimbra (CISUC), University of Coimbra, 3030-290 Coimbra, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Costa, Nuno" sort="Costa, Nuno" uniqKey="Costa N" first="Nuno" last="Costa">Nuno Costa</name>
<affiliation>
<nlm:aff id="I1">Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Oliveira, Jose Luis" sort="Oliveira, Jose Luis" uniqKey="Oliveira J" first="José Luís" last="Oliveira">José Luís Oliveira</name>
<affiliation>
<nlm:aff id="I3">Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, 3810-193 Aveiro, Portugal</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Barros, Marlene" sort="Barros, Marlene" uniqKey="Barros M" first="Marlene" last="Barros">Marlene Barros</name>
<affiliation>
<nlm:aff id="I1">Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">BioMed Research International</title>
<idno type="ISSN">2314-6133</idno>
<idno type="eISSN">2314-6141</idno>
<imprint>
<date when="2014">2014</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Periodontal disease (PD) is characterized by a deregulated inflammatory response which fails to resolve, activating bone resorption. The identification of the proteomes associated with PD has fuelled biomarker proposals; nevertheless, many questions remain. Biomarker selection should favour molecules representing an event which occurs throughout the disease progress. The analysis of proteome results and the information available for each protein, including its functional role, was accomplished using the OralOme database. The integrated analysis of this information ascertains if the suggested proteins reflect the cell and/or molecular mechanisms underlying the different forms of periodontal disease. The evaluation of the proteins present/absent or with very different concentrations in the proteome of each disease state was used for the identification of the mechanisms shared by different PD variants or specific to such state. The information presented is relevant for the adequate design of biomarker panels for PD. Furthermore, it will open new perspectives and help envisage future studies targeted to unveil the functional role of specific proteins and help clarify the deregulation process in the PD inflammatory response.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Graves, Dt" uniqKey="Graves D">DT Graves</name>
</author>
<author>
<name sortKey="Oates, T" uniqKey="Oates T">T Oates</name>
</author>
<author>
<name sortKey="Garlet, Gp" uniqKey="Garlet G">GP Garlet</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Miyauchi, M" uniqKey="Miyauchi M">M Miyauchi</name>
</author>
<author>
<name sortKey="Sato, S" uniqKey="Sato S">S Sato</name>
</author>
<author>
<name sortKey="Kitagawa, S" uniqKey="Kitagawa S">S Kitagawa</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dias, Ihk" uniqKey="Dias I">IHK Dias</name>
</author>
<author>
<name sortKey="Matthews, Jb" uniqKey="Matthews J">JB Matthews</name>
</author>
<author>
<name sortKey="Chapple, Ilc" uniqKey="Chapple I">ILC Chapple</name>
</author>
<author>
<name sortKey="Wright, Hj" uniqKey="Wright H">HJ Wright</name>
</author>
<author>
<name sortKey="Dunston, Cr" uniqKey="Dunston C">CR Dunston</name>
</author>
<author>
<name sortKey="Griffiths, Hr" uniqKey="Griffiths H">HR Griffiths</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lakschevitz, Fs" uniqKey="Lakschevitz F">FS Lakschevitz</name>
</author>
<author>
<name sortKey="Aboodi, Gm" uniqKey="Aboodi G">GM Aboodi</name>
</author>
<author>
<name sortKey="Glogauer, M" uniqKey="Glogauer M">M Glogauer</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Muthukuru, M" uniqKey="Muthukuru M">M Muthukuru</name>
</author>
<author>
<name sortKey="Jotwani, R" uniqKey="Jotwani R">R Jotwani</name>
</author>
<author>
<name sortKey="Cutler, Cw" uniqKey="Cutler C">CW Cutler</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yamamoto, M" uniqKey="Yamamoto M">M Yamamoto</name>
</author>
<author>
<name sortKey="Fujihashi, K" uniqKey="Fujihashi K">K Fujihashi</name>
</author>
<author>
<name sortKey="Hiroi, T" uniqKey="Hiroi T">T Hiroi</name>
</author>
<author>
<name sortKey="Mcghee, Jr" uniqKey="Mcghee J">JR McGhee</name>
</author>
<author>
<name sortKey="Van Dyke, Te" uniqKey="Van Dyke T">TE van Dyke</name>
</author>
<author>
<name sortKey="Kiyono, H" uniqKey="Kiyono H">H Kiyono</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Moutsopoulos, Nm" uniqKey="Moutsopoulos N">NM Moutsopoulos</name>
</author>
<author>
<name sortKey="Kling, Hm" uniqKey="Kling H">HM Kling</name>
</author>
<author>
<name sortKey="Angelov, N" uniqKey="Angelov N">N Angelov</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Belibasakis, Gn" uniqKey="Belibasakis G">GN Belibasakis</name>
</author>
<author>
<name sortKey="Reddi, D" uniqKey="Reddi D">D Reddi</name>
</author>
<author>
<name sortKey="Bostanci, N" uniqKey="Bostanci N">N Bostanci</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cardoso, Cr" uniqKey="Cardoso C">CR Cardoso</name>
</author>
<author>
<name sortKey="Garlet, Gp" uniqKey="Garlet G">GP Garlet</name>
</author>
<author>
<name sortKey="Moreira, Ap" uniqKey="Moreira A">AP Moreira</name>
</author>
<author>
<name sortKey="Martins, W" uniqKey="Martins W">W Martins</name>
</author>
<author>
<name sortKey="Rossi, Ma" uniqKey="Rossi M">MA Rossi</name>
</author>
<author>
<name sortKey="Silva, Js" uniqKey="Silva J">JS Silva</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Berglundh, T" uniqKey="Berglundh T">T Berglundh</name>
</author>
<author>
<name sortKey="Donati, M" uniqKey="Donati M">M Donati</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nikolajczyk, Bs" uniqKey="Nikolajczyk B">BS Nikolajczyk</name>
</author>
<author>
<name sortKey="Jagannathan Bogdan, M" uniqKey="Jagannathan Bogdan M">M Jagannathan-Bogdan</name>
</author>
<author>
<name sortKey="Denis, Gv" uniqKey="Denis G">GV Denis</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Onal, M" uniqKey="Onal M">M Onal</name>
</author>
<author>
<name sortKey="Xiong, J" uniqKey="Xiong J">J Xiong</name>
</author>
<author>
<name sortKey="Chen, X" uniqKey="Chen X">X Chen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Semple, Jw" uniqKey="Semple J">JW Semple</name>
</author>
<author>
<name sortKey="Italiano, Je" uniqKey="Italiano J">JE Italiano</name>
</author>
<author>
<name sortKey="Freedman, J" uniqKey="Freedman J">J Freedman</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Buduneli, N" uniqKey="Buduneli N">N Buduneli</name>
</author>
<author>
<name sortKey="Kinane, Df" uniqKey="Kinane D">DF Kinane</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rosa, N" uniqKey="Rosa N">N Rosa</name>
</author>
<author>
<name sortKey="Correia, Mj" uniqKey="Correia M">MJ Correia</name>
</author>
<author>
<name sortKey="Arrais, Jp" uniqKey="Arrais J">JP Arrais</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Arrais, Jp" uniqKey="Arrais J">JP Arrais</name>
</author>
<author>
<name sortKey="Rosa, N" uniqKey="Rosa N">N Rosa</name>
</author>
<author>
<name sortKey="Melo, J" uniqKey="Melo J">J Melo</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chan, Hh" uniqKey="Chan H">HH Chan</name>
</author>
<author>
<name sortKey="Rahim, Zha" uniqKey="Rahim Z">ZHA Rahim</name>
</author>
<author>
<name sortKey="Jessie, K" uniqKey="Jessie K">K Jessie</name>
</author>
<author>
<name sortKey="Hashim, Oh" uniqKey="Hashim O">OH Hashim</name>
</author>
<author>
<name sortKey="Taiyeb Ali, Tb" uniqKey="Taiyeb Ali T">TB Taiyeb-Ali</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Deo, Rc" uniqKey="Deo R">RC Deo</name>
</author>
<author>
<name sortKey="Roth, Fp" uniqKey="Roth F">FP Roth</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Fisher, B" uniqKey="Fisher B">B Fisher</name>
</author>
<author>
<name sortKey="Redmond, Ck" uniqKey="Redmond C">CK Redmond</name>
</author>
<author>
<name sortKey="Fisher, Er" uniqKey="Fisher E">ER Fisher</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Franceschini, A" uniqKey="Franceschini A">A Franceschini</name>
</author>
<author>
<name sortKey="Szklarczyk, D" uniqKey="Szklarczyk D">D Szklarczyk</name>
</author>
<author>
<name sortKey="Frankild, S" uniqKey="Frankild S">S Frankild</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bagaeva, Lv" uniqKey="Bagaeva L">LV Bagaeva</name>
</author>
<author>
<name sortKey="Rao, P" uniqKey="Rao P">P Rao</name>
</author>
<author>
<name sortKey="Powers, Jm" uniqKey="Powers J">JM Powers</name>
</author>
<author>
<name sortKey="Segal, Bm" uniqKey="Segal B">BM Segal</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chi, L M" uniqKey="Chi L">L-M Chi</name>
</author>
<author>
<name sortKey="Lee, C W" uniqKey="Lee C">C-W Lee</name>
</author>
<author>
<name sortKey="Chang, K P" uniqKey="Chang K">K-P Chang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Deshmane, Sl" uniqKey="Deshmane S">SL Deshmane</name>
</author>
<author>
<name sortKey="Kremlev, S" uniqKey="Kremlev S">S Kremlev</name>
</author>
<author>
<name sortKey="Amini, S" uniqKey="Amini S">S Amini</name>
</author>
<author>
<name sortKey="Sawaya, Be" uniqKey="Sawaya B">BE Sawaya</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Benigni, A" uniqKey="Benigni A">A Benigni</name>
</author>
<author>
<name sortKey="Cassis, P" uniqKey="Cassis P">P Cassis</name>
</author>
<author>
<name sortKey="Remuzzi, G" uniqKey="Remuzzi G">G Remuzzi</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Jones, Se" uniqKey="Jones S">SE Jones</name>
</author>
<author>
<name sortKey="Jomary, C" uniqKey="Jomary C">C Jomary</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Loos, Bg" uniqKey="Loos B">BG Loos</name>
</author>
<author>
<name sortKey="Papantonopoulos, G" uniqKey="Papantonopoulos G">G Papantonopoulos:</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Akdis, M" uniqKey="Akdis M">M Akdis</name>
</author>
<author>
<name sortKey="Burgler, S" uniqKey="Burgler S">S Burgler</name>
</author>
<author>
<name sortKey="Crameri, R" uniqKey="Crameri R">R Crameri</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Richards, Cd" uniqKey="Richards C">CD Richards</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hui, W" uniqKey="Hui W">W Hui</name>
</author>
<author>
<name sortKey="Cawston, Te" uniqKey="Cawston T">TE Cawston</name>
</author>
<author>
<name sortKey="Richards, Cd" uniqKey="Richards C">CD Richards</name>
</author>
<author>
<name sortKey="Rowan, Ad" uniqKey="Rowan A">AD Rowan</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sims, Na" uniqKey="Sims N">NA Sims</name>
</author>
<author>
<name sortKey="Walsh, Nc" uniqKey="Walsh N">NC Walsh</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Richards, Cd" uniqKey="Richards C">CD Richards</name>
</author>
<author>
<name sortKey="Langdon, C" uniqKey="Langdon C">C Langdon</name>
</author>
<author>
<name sortKey="Deschamps, P" uniqKey="Deschamps P">P Deschamps</name>
</author>
<author>
<name sortKey="Pennica, D" uniqKey="Pennica D">D Pennica</name>
</author>
<author>
<name sortKey="Shaughnessy, Sg" uniqKey="Shaughnessy S">SG Shaughnessy</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Li, Wq" uniqKey="Li W">WQ Li</name>
</author>
<author>
<name sortKey="Dehnade, F" uniqKey="Dehnade F">F Dehnade</name>
</author>
<author>
<name sortKey="Zafarullah, M" uniqKey="Zafarullah M">M Zafarullah</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Luster, Ad" uniqKey="Luster A">AD Luster</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yamaguchi, A" uniqKey="Yamaguchi A">A Yamaguchi</name>
</author>
<author>
<name sortKey="Nozawa, K" uniqKey="Nozawa K">K Nozawa</name>
</author>
<author>
<name sortKey="Fujishiro, M" uniqKey="Fujishiro M">M Fujishiro</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nacken, W" uniqKey="Nacken W">W Nacken</name>
</author>
<author>
<name sortKey="Roth, J" uniqKey="Roth J">J Roth</name>
</author>
<author>
<name sortKey="Sorg, C" uniqKey="Sorg C">C Sorg</name>
</author>
<author>
<name sortKey="Kerkhoff, C" uniqKey="Kerkhoff C">C Kerkhoff</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yui, S" uniqKey="Yui S">S Yui</name>
</author>
<author>
<name sortKey="Nakatani, Y" uniqKey="Nakatani Y">Y Nakatani</name>
</author>
<author>
<name sortKey="Mikami, M" uniqKey="Mikami M">M Mikami</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nakatani, Y" uniqKey="Nakatani Y">Y Nakatani</name>
</author>
<author>
<name sortKey="Yamazaki, M" uniqKey="Yamazaki M">M Yamazaki</name>
</author>
<author>
<name sortKey="Chazin, Wj" uniqKey="Chazin W">WJ Chazin</name>
</author>
<author>
<name sortKey="Yui, S" uniqKey="Yui S">S Yui</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Perera, C" uniqKey="Perera C">C Perera</name>
</author>
<author>
<name sortKey="Mcneil, Hp" uniqKey="Mcneil H">HP McNeil</name>
</author>
<author>
<name sortKey="Geczy, Cl" uniqKey="Geczy C">CL Geczy</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Averill, Mm" uniqKey="Averill M">MM Averill</name>
</author>
<author>
<name sortKey="Kerkhoff, C" uniqKey="Kerkhoff C">C Kerkhoff</name>
</author>
<author>
<name sortKey="Bornfeldt, Ke" uniqKey="Bornfeldt K">KE Bornfeldt</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gebhardt, C" uniqKey="Gebhardt C">C Gebhardt</name>
</author>
<author>
<name sortKey="Nemeth, J" uniqKey="Nemeth J">J Németh</name>
</author>
<author>
<name sortKey="Angel, P" uniqKey="Angel P">P Angel</name>
</author>
<author>
<name sortKey="Hess, J" uniqKey="Hess J">J Hess</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Srikrishna, G" uniqKey="Srikrishna G">G Srikrishna</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Stragier, E" uniqKey="Stragier E">E Stragier</name>
</author>
<author>
<name sortKey="Van Assche, G" uniqKey="Van Assche G">G van Assche</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Vogl, T" uniqKey="Vogl T">T Vogl</name>
</author>
<author>
<name sortKey="Gharibyan, Al" uniqKey="Gharibyan A">AL Gharibyan</name>
</author>
<author>
<name sortKey="Morozova Roche, La" uniqKey="Morozova Roche L">LA Morozova-Roche</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Soehnlein, O" uniqKey="Soehnlein O">O Soehnlein</name>
</author>
<author>
<name sortKey="Lindbom, L" uniqKey="Lindbom L">L Lindbom</name>
</author>
<author>
<name sortKey="Weber, C" uniqKey="Weber C">C Weber</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sorsa, T" uniqKey="Sorsa T">T Sorsa</name>
</author>
<author>
<name sortKey="Tj Derhane, L" uniqKey="Tj Derhane L">L Tjäderhane</name>
</author>
<author>
<name sortKey="Salo, T" uniqKey="Salo T">T Salo</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sorsa, T" uniqKey="Sorsa T">T Sorsa</name>
</author>
<author>
<name sortKey="Tj Derhane, L" uniqKey="Tj Derhane L">L Tjäderhane</name>
</author>
<author>
<name sortKey="Konttinen, Yt" uniqKey="Konttinen Y">YT Konttinen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Parks, Wc" uniqKey="Parks W">WC Parks</name>
</author>
<author>
<name sortKey="Wilson, Cl" uniqKey="Wilson C">CL Wilson</name>
</author>
<author>
<name sortKey="L Pez Boado, Ys" uniqKey="L Pez Boado Y">YS López-Boado</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chen, Q" uniqKey="Chen Q">Q Chen</name>
</author>
<author>
<name sortKey="Jin, M" uniqKey="Jin M">M Jin</name>
</author>
<author>
<name sortKey="Yang, F" uniqKey="Yang F">F Yang</name>
</author>
<author>
<name sortKey="Zhu, J" uniqKey="Zhu J">J Zhu</name>
</author>
<author>
<name sortKey="Xiao, Q" uniqKey="Xiao Q">Q Xiao</name>
</author>
<author>
<name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Vilen, S T" uniqKey="Vilen S">S-T Vilen</name>
</author>
<author>
<name sortKey="Salo, T" uniqKey="Salo T">T Salo</name>
</author>
<author>
<name sortKey="Sorsa, T" uniqKey="Sorsa T">T Sorsa</name>
</author>
<author>
<name sortKey="Nyberg, P" uniqKey="Nyberg P">P Nyberg</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
<author>
<name sortKey="Mccluskey, K" uniqKey="Mccluskey K">K McCluskey</name>
</author>
<author>
<name sortKey="Fujii, K" uniqKey="Fujii K">K Fujii</name>
</author>
<author>
<name sortKey="Wahl, Lm" uniqKey="Wahl L">LM Wahl</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Harkness, Kac" uniqKey="Harkness K">KAC Harkness</name>
</author>
<author>
<name sortKey="Adamson, P" uniqKey="Adamson P">P Adamson</name>
</author>
<author>
<name sortKey="Sussman, Jd" uniqKey="Sussman J">JD Sussman</name>
</author>
<author>
<name sortKey="Davies Jones, Gab" uniqKey="Davies Jones G">GAB Davies-Jones</name>
</author>
<author>
<name sortKey="Greenwood, J" uniqKey="Greenwood J">J Greenwood</name>
</author>
<author>
<name sortKey="Woodroofe, Mn" uniqKey="Woodroofe M">MN Woodroofe</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hajishengallis, G" uniqKey="Hajishengallis G">G Hajishengallis</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lominadze, G" uniqKey="Lominadze G">G Lominadze</name>
</author>
<author>
<name sortKey="Powell, Dw" uniqKey="Powell D">DW Powell</name>
</author>
<author>
<name sortKey="Luerman, Gc" uniqKey="Luerman G">GC Luerman</name>
</author>
<author>
<name sortKey="Link, Aj" uniqKey="Link A">AJ Link</name>
</author>
<author>
<name sortKey="Ward, Ra" uniqKey="Ward R">RA Ward</name>
</author>
<author>
<name sortKey="Mcleish, Kr" uniqKey="Mcleish K">KR McLeish</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chakraborty, S" uniqKey="Chakraborty S">S Chakraborty</name>
</author>
<author>
<name sortKey="Kaur, S" uniqKey="Kaur S">S Kaur</name>
</author>
<author>
<name sortKey="Guha, S" uniqKey="Guha S">S Guha</name>
</author>
<author>
<name sortKey="Batra, Sk" uniqKey="Batra S">SK Batra</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chakraborty, S" uniqKey="Chakraborty S">S Chakraborty</name>
</author>
<author>
<name sortKey="Kaur, S" uniqKey="Kaur S">S Kaur</name>
</author>
<author>
<name sortKey="Tong, Z" uniqKey="Tong Z">Z Tong</name>
</author>
<author>
<name sortKey="Batra, Sk" uniqKey="Batra S">SK Batra</name>
</author>
<author>
<name sortKey="Guha, S" uniqKey="Guha S">S Guha</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nagaoka, I" uniqKey="Nagaoka I">I Nagaoka</name>
</author>
<author>
<name sortKey="Suzuki, K" uniqKey="Suzuki K">K Suzuki</name>
</author>
<author>
<name sortKey="Murakami, T" uniqKey="Murakami T">T Murakami</name>
</author>
<author>
<name sortKey="Niyonsaba, F" uniqKey="Niyonsaba F">F Niyonsaba</name>
</author>
<author>
<name sortKey="Tamura, H" uniqKey="Tamura H">H Tamura</name>
</author>
<author>
<name sortKey="Hirata, M" uniqKey="Hirata M">M Hirata</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gursoy, Uk" uniqKey="Gursoy U">UK Gursoy</name>
</author>
<author>
<name sortKey="Kononen, E" uniqKey="Kononen E">E Könönen</name>
</author>
<author>
<name sortKey="Luukkonen, N" uniqKey="Luukkonen N">N Luukkonen</name>
</author>
<author>
<name sortKey="Uitto, V J" uniqKey="Uitto V">V-J Uitto</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cote, Mc" uniqKey="Cote M">MC Côté</name>
</author>
<author>
<name sortKey="Lavoie, Jr" uniqKey="Lavoie J">JR Lavoie</name>
</author>
<author>
<name sortKey="Houle, F" uniqKey="Houle F">F Houle</name>
</author>
<author>
<name sortKey="Poirier, A" uniqKey="Poirier A">A Poirier</name>
</author>
<author>
<name sortKey="Rousseau, S" uniqKey="Rousseau S">S Rousseau</name>
</author>
<author>
<name sortKey="Huot, J" uniqKey="Huot J">J Huot</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gavins, Fne" uniqKey="Gavins F">FNE Gavins</name>
</author>
<author>
<name sortKey="Hickey, Mj" uniqKey="Hickey M">MJ Hickey</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Liu, X" uniqKey="Liu X">X Liu</name>
</author>
<author>
<name sortKey="Ma, B" uniqKey="Ma B">B Ma</name>
</author>
<author>
<name sortKey="Malik, Ab" uniqKey="Malik A">AB Malik</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yang, Y" uniqKey="Yang Y">Y Yang</name>
</author>
<author>
<name sortKey="Hutchinson, P" uniqKey="Hutchinson P">P Hutchinson</name>
</author>
<author>
<name sortKey="Morand, Ef" uniqKey="Morand E">EF Morand</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Damazo, As" uniqKey="Damazo A">AS Damazo</name>
</author>
<author>
<name sortKey="Yona, S" uniqKey="Yona S">S Yona</name>
</author>
<author>
<name sortKey="D Cquisto, F" uniqKey="D Cquisto F">F D’Acquisto</name>
</author>
<author>
<name sortKey="Flower, Rj" uniqKey="Flower R">RJ Flower</name>
</author>
<author>
<name sortKey="Oliani, Sm" uniqKey="Oliani S">SM Oliani</name>
</author>
<author>
<name sortKey="Perretti, M" uniqKey="Perretti M">M Perretti</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ozmeric, N" uniqKey="Ozmeric N">N Ozmeric</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Shinomiya, H" uniqKey="Shinomiya H">H Shinomiya</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ning, Y" uniqKey="Ning Y">Y Ning</name>
</author>
<author>
<name sortKey="Gerger, A" uniqKey="Gerger A">A Gerger</name>
</author>
<author>
<name sortKey="Zhang, W" uniqKey="Zhang W">W Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Freeley, M" uniqKey="Freeley M">M Freeley</name>
</author>
<author>
<name sortKey="O Owd, F" uniqKey="O Owd F">F O’Dowd</name>
</author>
<author>
<name sortKey="Paul, T" uniqKey="Paul T">T Paul</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chakravarti, A" uniqKey="Chakravarti A">A Chakravarti</name>
</author>
<author>
<name sortKey="Raquil, M A" uniqKey="Raquil M">M-A Raquil</name>
</author>
<author>
<name sortKey="Tessier, P" uniqKey="Tessier P">P Tessier</name>
</author>
<author>
<name sortKey="Poubelle, Pe" uniqKey="Poubelle P">PE Poubelle</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kajiya, M" uniqKey="Kajiya M">M Kajiya</name>
</author>
<author>
<name sortKey="Giro, G" uniqKey="Giro G">G Giro</name>
</author>
<author>
<name sortKey="Taubman, Ma" uniqKey="Taubman M">MA Taubman</name>
</author>
<author>
<name sortKey="Han, X" uniqKey="Han X">X Han</name>
</author>
<author>
<name sortKey="Mayer, Mpa" uniqKey="Mayer M">MPA Mayer</name>
</author>
<author>
<name sortKey="Kawai, T" uniqKey="Kawai T">T Kawai</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Belibasakis, Gn" uniqKey="Belibasakis G">GN Belibasakis</name>
</author>
<author>
<name sortKey="Bostanci, N" uniqKey="Bostanci N">N Bostanci</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Minami, Y" uniqKey="Minami Y">Y Minami</name>
</author>
<author>
<name sortKey="Uede, K" uniqKey="Uede K">K Uede</name>
</author>
<author>
<name sortKey="Sagawa, K" uniqKey="Sagawa K">K Sagawa</name>
</author>
<author>
<name sortKey="Kimura, A" uniqKey="Kimura A">A Kimura</name>
</author>
<author>
<name sortKey="Tsuji, T" uniqKey="Tsuji T">T Tsuji</name>
</author>
<author>
<name sortKey="Furukawa, F" uniqKey="Furukawa F">F Furukawa</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rieg, S" uniqKey="Rieg S">S Rieg</name>
</author>
<author>
<name sortKey="Garbe, C" uniqKey="Garbe C">C Garbe</name>
</author>
<author>
<name sortKey="Sauer, B" uniqKey="Sauer B">B Sauer</name>
</author>
<author>
<name sortKey="Kalbacher, H" uniqKey="Kalbacher H">H Kalbacher</name>
</author>
<author>
<name sortKey="Schittek, B" uniqKey="Schittek B">B Schittek</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Koorts, Am" uniqKey="Koorts A">AM Koorts</name>
</author>
<author>
<name sortKey="Levay, Pf" uniqKey="Levay P">PF Levay</name>
</author>
<author>
<name sortKey="Becker, Pj" uniqKey="Becker P">PJ Becker</name>
</author>
<author>
<name sortKey="Viljoen, M" uniqKey="Viljoen M">M Viljoen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Li, Z" uniqKey="Li Z">Z Li</name>
</author>
<author>
<name sortKey="Zhong, Q" uniqKey="Zhong Q">Q Zhong</name>
</author>
<author>
<name sortKey="Yang, T" uniqKey="Yang T">T Yang</name>
</author>
<author>
<name sortKey="Xie, X" uniqKey="Xie X">X Xie</name>
</author>
<author>
<name sortKey="Chen, M" uniqKey="Chen M">M Chen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mclaughlin, Ws" uniqKey="Mclaughlin W">WS McLaughlin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Belibasakis, Gn" uniqKey="Belibasakis G">GN Belibasakis</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Johnson, Ka" uniqKey="Johnson K">KA Johnson</name>
</author>
<author>
<name sortKey="Hessle, L" uniqKey="Hessle L">L Hessle</name>
</author>
<author>
<name sortKey="Vaingankar, S" uniqKey="Vaingankar S">S Vaingankar</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Orimo, H" uniqKey="Orimo H">H Orimo</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Udristioiu, A" uniqKey="Udristioiu A">A Udristioiu</name>
</author>
<author>
<name sortKey="Iliescu, R" uniqKey="Iliescu R">R Iliescu</name>
</author>
<author>
<name sortKey="Cojocaru, M" uniqKey="Cojocaru M">M Cojocaru</name>
</author>
<author>
<name sortKey="Joanta, A" uniqKey="Joanta A">A Joanta</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cafiero, C" uniqKey="Cafiero C">C Cafiero</name>
</author>
<author>
<name sortKey="Matarasso, S" uniqKey="Matarasso S">S Matarasso</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mccauley, Lk" uniqKey="Mccauley L">LK McCauley</name>
</author>
<author>
<name sortKey="Nohutcu, Rm" uniqKey="Nohutcu R">RM Nohutcu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Taba, M" uniqKey="Taba M">M Taba</name>
</author>
<author>
<name sortKey="Kinney, J" uniqKey="Kinney J">J Kinney</name>
</author>
<author>
<name sortKey="Kim, As" uniqKey="Kim A">AS Kim</name>
</author>
<author>
<name sortKey="Giannobile, Wv" uniqKey="Giannobile W">WV Giannobile</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Pike, Af" uniqKey="Pike A">AF Pike</name>
</author>
<author>
<name sortKey="Kramer, Ni" uniqKey="Kramer N">NI Kramer</name>
</author>
<author>
<name sortKey="Blaauboer, Bj" uniqKey="Blaauboer B">BJ Blaauboer</name>
</author>
<author>
<name sortKey="Seinen, W" uniqKey="Seinen W">W Seinen</name>
</author>
<author>
<name sortKey="Brands, R" uniqKey="Brands R">R Brands</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tester, Am" uniqKey="Tester A">AM Tester</name>
</author>
<author>
<name sortKey="Cox, Jh" uniqKey="Cox J">JH Cox</name>
</author>
<author>
<name sortKey="Connor, Ar" uniqKey="Connor A">AR Connor</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Thirkettle, S" uniqKey="Thirkettle S">S Thirkettle</name>
</author>
<author>
<name sortKey="Decock, J" uniqKey="Decock J">J Decock</name>
</author>
<author>
<name sortKey="Arnold, H" uniqKey="Arnold H">H Arnold</name>
</author>
<author>
<name sortKey="Pennington, Cj" uniqKey="Pennington C">CJ Pennington</name>
</author>
<author>
<name sortKey="Jaworski, Dm" uniqKey="Jaworski D">DM Jaworski</name>
</author>
<author>
<name sortKey="Edwards, Dr" uniqKey="Edwards D">DR Edwards</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Benabid, R" uniqKey="Benabid R">R Benabid</name>
</author>
<author>
<name sortKey="Wartelle, J" uniqKey="Wartelle J">J Wartelle</name>
</author>
<author>
<name sortKey="Malleret, L" uniqKey="Malleret L">L Malleret</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hirche, To" uniqKey="Hirche T">TO Hirche</name>
</author>
<author>
<name sortKey="Benabid, R" uniqKey="Benabid R">R Benabid</name>
</author>
<author>
<name sortKey="Deslee, G" uniqKey="Deslee G">G Deslee</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="L Pez Boado, Ys" uniqKey="L Pez Boado Y">YS López-Boado</name>
</author>
<author>
<name sortKey="Espinola, M" uniqKey="Espinola M">M Espinola</name>
</author>
<author>
<name sortKey="Bahr, S" uniqKey="Bahr S">S Bahr</name>
</author>
<author>
<name sortKey="Belaaouaj, A" uniqKey="Belaaouaj A">A Belaaouaj</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Weinrauch, Y" uniqKey="Weinrauch Y">Y Weinrauch</name>
</author>
<author>
<name sortKey="Drujan, D" uniqKey="Drujan D">D Drujan</name>
</author>
<author>
<name sortKey="Shapiro, Sd" uniqKey="Shapiro S">SD Shapiro</name>
</author>
<author>
<name sortKey="Weiss, J" uniqKey="Weiss J">J Weiss</name>
</author>
<author>
<name sortKey="Zychlinsky, A" uniqKey="Zychlinsky A">A Zychlinsky</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rehman, Aa" uniqKey="Rehman A">AA Rehman</name>
</author>
<author>
<name sortKey="Ahsan, H" uniqKey="Ahsan H">H Ahsan</name>
</author>
<author>
<name sortKey="Khan, Fh" uniqKey="Khan F">FH Khan</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Territo, Mc" uniqKey="Territo M">MC Territo</name>
</author>
<author>
<name sortKey="Ganz, T" uniqKey="Ganz T">T Ganz</name>
</author>
<author>
<name sortKey="Selsted, Me" uniqKey="Selsted M">ME Selsted</name>
</author>
<author>
<name sortKey="Lehrer, R" uniqKey="Lehrer R">R Lehrer</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yang, D" uniqKey="Yang D">D Yang</name>
</author>
<author>
<name sortKey="Chen, Q" uniqKey="Chen Q">Q Chen</name>
</author>
<author>
<name sortKey="Chertov, O" uniqKey="Chertov O">O Chertov</name>
</author>
<author>
<name sortKey="Oppenheim, Jj" uniqKey="Oppenheim J">JJ Oppenheim</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="review-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Biomed Res Int</journal-id>
<journal-id journal-id-type="iso-abbrev">Biomed Res Int</journal-id>
<journal-id journal-id-type="publisher-id">BMRI</journal-id>
<journal-title-group>
<journal-title>BioMed Research International</journal-title>
</journal-title-group>
<issn pub-type="ppub">2314-6133</issn>
<issn pub-type="epub">2314-6141</issn>
<publisher>
<publisher-name>Hindawi Publishing Corporation</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">25057495</article-id>
<article-id pub-id-type="pmc">4099050</article-id>
<article-id pub-id-type="doi">10.1155/2014/569632</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Rosa</surname>
<given-names>Nuno</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Correia</surname>
<given-names>Maria José</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Arrais</surname>
<given-names>Joel P.</given-names>
</name>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Costa</surname>
<given-names>Nuno</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Oliveira</surname>
<given-names>José Luís</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barros</surname>
<given-names>Marlene</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>
Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu, Portugal</aff>
<aff id="I2">
<sup>2</sup>
Department of Informatics Engineering (DEI), Centre for Informatics and Systems of the University of Coimbra (CISUC), University of Coimbra, 3030-290 Coimbra, Portugal</aff>
<aff id="I3">
<sup>3</sup>
Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, 3810-193 Aveiro, Portugal</aff>
<author-notes>
<corresp id="cor1">*Marlene Barros:
<email>mbarros@crb.ucp.pt</email>
</corresp>
<fn fn-type="other">
<p>Academic Editor: Wuyuan Lu</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>26</day>
<month>6</month>
<year>2014</year>
</pub-date>
<volume>2014</volume>
<elocation-id>569632</elocation-id>
<history>
<date date-type="received">
<day>6</day>
<month>2</month>
<year>2014</year>
</date>
<date date-type="accepted">
<day>7</day>
<month>4</month>
<year>2014</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2014 Nuno Rosa et al.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract>
<p>Periodontal disease (PD) is characterized by a deregulated inflammatory response which fails to resolve, activating bone resorption. The identification of the proteomes associated with PD has fuelled biomarker proposals; nevertheless, many questions remain. Biomarker selection should favour molecules representing an event which occurs throughout the disease progress. The analysis of proteome results and the information available for each protein, including its functional role, was accomplished using the OralOme database. The integrated analysis of this information ascertains if the suggested proteins reflect the cell and/or molecular mechanisms underlying the different forms of periodontal disease. The evaluation of the proteins present/absent or with very different concentrations in the proteome of each disease state was used for the identification of the mechanisms shared by different PD variants or specific to such state. The information presented is relevant for the adequate design of biomarker panels for PD. Furthermore, it will open new perspectives and help envisage future studies targeted to unveil the functional role of specific proteins and help clarify the deregulation process in the PD inflammatory response.</p>
</abstract>
</article-meta>
</front>
<body>
<sec id="sec1">
<title>1. Introduction</title>
<p>The different forms of periodontal disease (PD) share four stages: (i) bacterial biofilm presence and accumulation in the gingival sulcus (colonization), (ii) bacterial penetration of epithelium and connective tissue in the gingiva adjacent to the tooth surface (invasion), (iii) stimulation of a host response involving activation of the innate and acquired immune response (inflammation), and (iv) irreversible destruction of connective tissue attachment to the tooth surface and bone (tissue loss) [
<xref rid="B1" ref-type="bibr">1</xref>
].</p>
<p>Gingival epithelial cells and fibroblasts in PD respond to Gram-negative bacterial lipopolysaccharide (LPS) by the transient expression of cytokines playing an active role in the initiation and maintenance of gingival inflammation [
<xref rid="B2" ref-type="bibr">2</xref>
]. The next line of defence comes with neutrophils that, under microbiota continuous stimulation, exhibit prosurvival and hyperresponsive behaviours [
<xref rid="B3" ref-type="bibr">3</xref>
,
<xref rid="B4" ref-type="bibr">4</xref>
]. Periodontitis is also characterized by abundant monocyte infiltration, which finds the adequate signalling microenvironment to rapidly differentiate into macrophages, namely, through surface toll-like receptors [
<xref rid="B5" ref-type="bibr">5</xref>
]. Like neutrophils, macrophages phagocytose periodontal pathogens and additionally orchestrate wound repair by functionally coordinating innate and adaptive immune responses. This is achieved by the production of specific cytokines and chemokines which contribute to the attraction and activation of subsets of T cells. Of the multiple types of CD4+ T cells (Th1 Th2, Th17, and Tregs), Th2 cells are thought to dominate over an initial Th1 response in progressive periodontitis [
<xref rid="B6" ref-type="bibr">6</xref>
]. The different T cell subsets may participate in osteoclastogenesis process through RANKL production or the expression of another osteoclastogenic cytokine, the IL-17, accomplished by Th17 cells [
<xref rid="B7" ref-type="bibr">7</xref>
]. In spite of this knowledge, there is not solid evidence on the specific role of T cell subsets in periodontitis and the signalling process to activate or regulate them, with the exception that CD4+ T cells are induced by
<italic> P. gingivalis</italic>
to express RANKL [
<xref rid="B8" ref-type="bibr">8</xref>
].</p>
<p>Tregs are present in periodontal tissue [
<xref rid="B9" ref-type="bibr">9</xref>
] and this T cell subset is known for their anti-inflammatory role; however, the reasons for the apparent lack of anti-inflammatory function in PD are not clear.</p>
<p>B cells dominate chronic periodontitis lesions [
<xref rid="B10" ref-type="bibr">10</xref>
] and their activation and differentiation depend on T cells. The B cells spearhead multiple host defence mechanisms, including the production of antibodies, and in addition secrete a proinflammatory cytokine profile [
<xref rid="B11" ref-type="bibr">11</xref>
]. The role for B cell cytokines in oral pathogenesis is not clear, in part because other cell types also secrete the same B cell cytokines. However, it is well established that B cells are probably the major source of proosteoclastogenic RANKL [
<xref rid="B12" ref-type="bibr">12</xref>
].</p>
<p>A less obvious player in the innate immune response is the platelets, but, presently, the important role of these molecules has been acknowledged. Platelet toll-like receptor expression enables activated platelets to bind and capture bacteria. Subsequently, the platelets may directly kill the bacteria or aggregate around them and “trap” the bacteria for elimination by “professional” phagocytes. It is now clear that different subsets of platelets exist and that they can also heterotypically interact with a wide variety of immune system cells, including leukocytes [
<xref rid="B13" ref-type="bibr">13</xref>
]. However, the net results of these interactions are not clearly established in PD.</p>
<p>Despite abundant information and data in the literature regarding biomarkers for periodontal disease, we are still lacking suitable molecular markers of soft and hard tissue destruction which can replace the clinical gold standards [
<xref rid="B14" ref-type="bibr">14</xref>
]. In this review, we summarize, for each protein proposed as a biomarker elsewhere, the inferred functions of that protein in PD by comparing its role in another osteoimmunology processes. The pertinence of the proposal of each protein as a biomarker will be analyzed considering preferentially their exclusive presence in each PD variant, the quantification data, and the relevance of the molecular event represented by that protein in the context of PD.</p>
</sec>
<sec id="sec2">
<title>2. Biomarker Survey in Periodontal Diseases</title>
<p>In order to obtain the list of proteins suggested as biomarkers in periodontal diseases, we queried the OralOme database using OralCard [
<xref rid="B15" ref-type="bibr">15</xref>
,
<xref rid="B16" ref-type="bibr">16</xref>
] (
<ext-link ext-link-type="uri" xlink:href="http://bioinformatics.ua.pt/oralcard/">http://bioinformatics.ua.pt/oralcard/</ext-link>
) for the mesh terms “aggressive periodontitis,” “chronic periodontitis,” “gingivitis,” and “periimplantitis.” Each of the identified proteins was checked to confirm if it was suggested as a biomarker for periodontal diseases proteins > action view > biomarker (true/false) and the information for each protein quantification and presence in the different PD variants was also obtained.</p>
<p>To complement and update the information obtained from OralCard, a thorough manual bibliography review was performed in PubMed, to gather the most recent studies on proteins identified in PD. The following PubMed query was performed: (“proteomics” or “proteomic” or “proteome”) and (“saliva” title/abstract or “oral” title/abstract). The articles retrieved were manually scrutinized and key information from the proteins found in the various references was annotated as described before [
<xref rid="B16" ref-type="bibr">16</xref>
]. Briefly, for each protein, the following data were recorded when available: the identification of the protein; the source of the sample; the disease (MeSH code) and the up-/downregulation (fold change calculations performed according to Chan et al. [
<xref rid="B17" ref-type="bibr">17</xref>
]) compared to normal samples; sample donor data (age, gender, and social habits); methods of sampling and analysis; type of study (proteomics and nonproteomics); and posttranslation modifications and whether the protein had been proposed as a biomarker. Finally, all of these data are mapped to the PubMed citation where they were published. The data collected in this study were used to update the OralCard database.</p>
<p>To analyse and discuss PD biomarkers they were divided into two categories: quantified and nonquantified, depending on whether there was an indication of change in a disease state relative to healthy subjects (regulation). The proteins referred to as being increased (+) or decreased (−), without providing a value for this variation, were included in the group of nonquantified biomarkers. When a protein presented several regulation values from different studies, the average of these values was estimated.</p>
<p>Heterogeneity has become widely acknowledged as a phenomenon that is characteristic of pathogenesis [
<xref rid="B18" ref-type="bibr">18</xref>
,
<xref rid="B19" ref-type="bibr">19</xref>
]. Heterogeneity occurs at two levels: as multiple phenotypes within an individual (patient-specimen heterogeneity) and between individuals (disease heterogeneity). In PD, both levels of heterogeneity are present. Therefore, we considered, as being differently present, proteins whose quantification had a fold change ≥3x (up- or downregulated) between health and disease samples. The quantified biomarkers were distributed in two groups: those with up-/downregulation ≥3x or counterregulated in different variants of PD and those with up- or downregulation <3x. The total set of biomarkers was analysed, annotating to which disease variant they are proposed for.</p>
<p>From the 43 proteins proposed as biomarkers for PD, only 8 were identified as being exclusively present in one of the disease variants (
<xref ref-type="table" rid="tab1">Table 1</xref>
).</p>
</sec>
<sec id="sec3">
<title>3. Biomarker Functional Analysis</title>
<p>The functional analysis of the biomarkers identified in the PD was performed using the statistical enrichment analysis feature from STRING [
<xref rid="B20" ref-type="bibr">20</xref>
]. Briefly, the list of all biomarkers identified in periodontal diseases was uploaded to STRING using UniProtKB AC codes and the protein network was built. Then, the statistical enrichment analysis feature was used to automatically detect statistically enriched molecular functions or biological processes in the network. For each biomarker, the associated gene ontology terms (GO molecular function and GO biological process) considered of interest in the physiopathological context of PD were annotated. Furthermore, for each biomarker, the GO cellular components terms were also included in the analysis. The OralCard tool was used to verify which periodontal biomarkers were identified in saliva samples in different studies and if they were suggested as biomarkers in nonperiodontal diseases.</p>
<p>All of this information was used to produce
<xref ref-type="table" rid="tab2">Table 2</xref>
and the proposed biomarkers are organized according to quantification in each disease; the disease variant and the type of sample in which they were identified; relevant biological processes in which they participate; their molecular functions; and cellular components where they are found.</p>
<p>The protein information presented, unless otherwise stated, was obtained from and is publicly available in the OralCard database.</p>
<p>Due to their pertinence as biomarkers, the proteins for which the up- or downregulation was ≥3x different from the health samples were discussed first.</p>
</sec>
<sec id="sec4">
<title>4. The Functional Role of the Proteins Exclusively Proposed as Biomarkers for Chronic Periodontitis (CP)</title>
<p>In chronic periodontitis, 7 biomarkers exclusive to the pathology are suggested, but only 2, a chemokine (C-C motif) ligand 13 (Q99616), 4.97x upregulated in disease samples, and thymidine phosphorylase (P19971), 3.7x downregulated in disease samples, fulfill both requisites proposed for a biomarker, to be exclusive of the disease state and to have an up/down amount ≥3x.</p>
<p>The chemokine (C-C motif) ligand 13 (CCL13) is expressed in nonlymphoid tissues during chronic inflammation and acts as a chemotactic factor to attract monocytes, but not neutrophils, in tissues chronically exposed to exogenous pathogens. In rheumatoid arthritis, another disease involving inflammatory response, CCL13 was described as being associated with disease progression due to the increased macrophage infiltration and its antiapoptotic functions [
<xref rid="B21" ref-type="bibr">21</xref>
]. In CP, macrophage recruitment and antiapoptotic actions contribute to the permanence of these cells in periodontal tissues, a characteristic shared with other chronic inflammatory pathologies. Up to now, CCL13 was only found in crevicular fluid samples (
<xref ref-type="table" rid="tab2">Table 2</xref>
); however, since this is an extracellular protein, it is possible to direct studies for its identification/quantification in saliva.</p>
<p>Thymidine phosphorylase has highly restricted target cell specificity, acting only on endothelial cells, promoting growth, angiogenic, and chemotactic activities. It is a cytosolic enzyme that is stored in platelets as a 45 kD single polypeptide chain and its presence in saliva has been detected. Thymidine phosphorylase was identified in mouth neoplasms where it is upregulated and promotes angiogenesis [
<xref rid="B22" ref-type="bibr">22</xref>
]. Because thymidine phosphorylase is downregulated in CP, the integrity of endothelial cells is compromised and it is possible that the normal mechanisms of angiogenesis are affected, leading to cellular hypoxia, characteristic of chronic inflammation and also linked to the promotion of anaerobic microbial growth.</p>
<p>The other two exclusive proteins suggested as biomarkers for CP have up/down quantification values <3x between health and disease samples: fibronectin (P02751), upregulated 1.84x, and the C-C motif chemokine 2 (P13500), upregulated 1.9x.</p>
<p>Fibronectin is an extracellular matrix protein involved in biological processes such as leucocyte migration and platelet degranulation. This protein, in spite of having been evaluated in CP, is a constitutive protein with low quantification values and therefore is not a promising biomarker candidate.</p>
<p>The C-C motif chemokine 2 is a chemotactic factor that attracts monocytes but not neutrophils [
<xref rid="B23" ref-type="bibr">23</xref>
]. This biomarker, which is upregulated only 1.9x, identifies the same process as the C-C motif chemokine ligand 13, which is upregulated 4.97x, and is considered more specific for the recruitment of monocytes in chronic situations.</p>
<p>Finally, 3 other proteins exclusive of PD were proposed as biomarkers but with no quantification (
<xref ref-type="table" rid="tab2">Table 2</xref>
): angiotensinogen/serpin A8 (P01019) and clusterin (P10909) are both downregulated, while prostaglandin G/H synthase 2 (P35354) has only been identified as being present in CP.</p>
<p>Angiotensinogen/serpin A8 is cleaved by the enzyme renin and the resulting product, angiotensin I, is then processed by angiotensin converting enzyme (ACE) to generate the angiotensin II, the major effector peptide of renin-angiotensin system that mediates several key events of the inflammatory processes; namely, it increases vascular permeability via the release of prostaglandins [
<xref rid="B24" ref-type="bibr">24</xref>
]. It is in fact expected that angiotensinogen/serpin A8 is diminished in CP because it has been converted to angiotensin II and in this form will contribute to the increase of vascular permeability in this PD variant.</p>
<p>Clusterin is a 75–80 kDa disulphide-linked heterodimeric associated with the clearance of cellular debris and has been ascribed a plethora of functions such as recruitment, complement attack prevention, inhibition, and/or scavenging and inhibition [
<xref rid="B25" ref-type="bibr">25</xref>
]. Having clusterin in lower concentrations in CP may contribute to the lack of apoptotic induction of macrophages allowing them to remain in the tissues and consequently maintain a proinflammatory situation.</p>
<p>Prostaglandin G/H synthase 2 (COX-2) has a role as a major mediator of inflammation and is generally expressed only in cells which are upregulated during inflammation.</p>
<p>The clear role of COX-2 and angiotensin II as proteins is important in the inflammatory process and the fact that clusterin acts in several aspects of the immune response suggests the need for the quantification of these proteins in future studies of PD. COX-2 has been identified in crevicular fluid and mucosa samples, and angiotensin II and clusterin were found only in crevicular fluid; nevertheless, because the latter are extracellular, it may also be possible and useful to quantify them in saliva samples.</p>
<p>From the total of 7 exclusive proteins proposed as biomarkers in CP, chemokine (C-C motif) ligand 13 (upregulated 4.97x), characterizing the monocyte recruitment and differentiation stages, and thymidine phosphorylase (downregulated 3.7x), identifying angiogenesis involvement, are the two proteins which better identify CP.</p>
</sec>
<sec id="sec5">
<title>5. A Panel for CP Biomarkers Using Proteins Which Are Common to Other PDs</title>
<p>Because most of the proteins proposed as biomarkers in PD are shared by disease variants (
<xref ref-type="table" rid="tab2">Table 2</xref>
), it will not be possible to associate the majority of proposed biomarkers with specific events in each pathology. However, if the quantification of the protein is different enough and especially if the protein is counterregulated (upregulated in one pathology and downregulated in the other one), it may be a marker for a common molecular event, allowing the inference from the quantification data (up- or downregulated) of the role that protein may have in the CP.</p>
<p>The two major forms of periodontitis, chronic (CP) and aggressive (AP), do not display sufficiently distinct microbiological/immunological features and a recent work revealed limited differences between the gingival tissue transcriptional profiles of AP and CP, of genes related to immune response and apoptosis. Only signal transduction is overexpressed in AP, and genes related to epithelial integrity and metabolism are overexpressed in CP [
<xref rid="B26" ref-type="bibr">26</xref>
].</p>
<p>
<xref ref-type="table" rid="tab2">Table 2</xref>
presents 6 proteins present in CP and in other PDs, upregulated 3x relative to health: oncostatin-M (P13725), C-C motif chemokine 3 (P10147), protein S100-A9 (P06702), protein S100-A8 (P05109), azurocidin (P20160), and MMP9 (P14780).</p>
<p>Oncostatin-M is a multipotent cytokine produced by macrophages and activated T cells; it is structurally and functionally related to the IL-6 cytokine family and elevated expression levels of this cytokine have been determined in many inflammatory diseases [
<xref rid="B27" ref-type="bibr">27</xref>
,
<xref rid="B28" ref-type="bibr">28</xref>
]. It seems that oncostatin-M alone, or in concert with proinflammatory cytokines like IL-1, can stimulate expression of genes that promote inflammation, namely, IL-6 [
<xref rid="B29" ref-type="bibr">29</xref>
], and also enhance the differentiation and proliferation of osteoblasts, inducing the formation of osteoclasts and consequently bone erosion [
<xref rid="B28" ref-type="bibr">28</xref>
,
<xref rid="B30" ref-type="bibr">30</xref>
,
<xref rid="B31" ref-type="bibr">31</xref>
]. Li et al. demonstrated that oncostatin-M can regulate MMP and TIMP mRNA in primary chondrocytes by activation of the Jak/Stat pathway [
<xref rid="B32" ref-type="bibr">32</xref>
] contributing to the expression of proteins involved in bone remodelling.</p>
<p>Oncostatin-M is upregulated 726x in CP and 128x in G. This protein was proposed as a biomarker for both CP and G (
<xref ref-type="table" rid="tab2">Table 2</xref>
). Considering its role in the modulation of inflammatory processes, it is recommended that further quantification studies are designed to determine the levels of protein present in each PD. If the quantification results are promising, this protein can be a biomarker to predict the evolution from G to a CP status.</p>
<p>The C-C motif chemokine 3 or MIP-1 alpha (macrophage inflammatory protein 1 alpha) is a member of the CC or beta chemokine subfamily that binds to CC chemokine receptor 1 (CCR1) and CCR5 with high affinity. CC chemokines mainly act on monocytes and lymphocytes without affecting neutrophils [
<xref rid="B33" ref-type="bibr">33</xref>
]. In rheumatoid arthritis patients, the C-C motif chemokine 3 is associated with disease progression as a result of its antiapoptotic effects, increased macrophage infiltration, and synovial tissue angiogenesis [
<xref rid="B34" ref-type="bibr">34</xref>
]. C-C motif chemokine 3 in CP is upregulated 18x which contributes to macrophage presence due to the antiapoptotic effect of this protein and therefore promotes the establishment of a chronic inflammatory response. C-C motif chemokine 3 has also been identified in samples from periimplantitis patients but there are no published quantification data for this clinical situation.</p>
<p>S100 protein family is a prominent player in innate immunity [
<xref rid="B35" ref-type="bibr">35</xref>
]. Two S100 proteins, namely, protein S100-A9 and protein S100-A8, are calcium- and zinc-binding proteins abundant in the cytosol of neutrophils [
<xref rid="B36" ref-type="bibr">36</xref>
] which are released as a heterodimeric complex, S100A8/A9, under inflammatory conditions [
<xref rid="B37" ref-type="bibr">37</xref>
]. As a calprotectin (S100A8/A9) complex, it has a wide array of intra- and extracellular functions and recently has been associated with numerous human disorders, including acute and chronic inflammatory conditions [
<xref rid="B38" ref-type="bibr">38</xref>
<xref rid="B42" ref-type="bibr">42</xref>
]. Apparently, these proteins are able to perform cytokine-like and chemokine-like roles via activation of toll-like receptor 4 (TLR4) dependent signalling cascades and potentially other signalling pathways. Binding to TLR4 activates the MAPK and nuclear factor NF-kappa-B signalling pathways resulting in the amplification of the proinflammatory cascade [
<xref rid="B43" ref-type="bibr">43</xref>
].</p>
<p>Protein S100-A9 is upregulated in CP 10.4x, downregulated in AP 1.4x, and downregulated in G 1.75x, whereas protein S100-A8 is upregulated 3.07x in CP. The calprotectin complex S100-A9/S100-A8 may act as the main trigger for the activation of the proinflammatory cascade in CP.</p>
<p>Azurocidin was proposed as a biomarker in CP and G. This protein is upregulated in CP 6.5x and 3.35x in G. Azurocidin is a chemokine produced by neutrophils that attracts monocytes in a second wave of invasion [
<xref rid="B44" ref-type="bibr">44</xref>
], which clearly reflects the synergy of mechanisms, induced by the recurring microbial challenge characteristic of CP and G that contribute to the permanence of macrophages in periodontal tissues.</p>
<p>Matrix metalloproteinases are considered modifiers of host response and it has been suggested that their role and involvement should be interpreted not solely as surrogate promoters of tissue destruction, but also as defensive or protective factors against inflammation as a whole [
<xref rid="B45" ref-type="bibr">45</xref>
,
<xref rid="B46" ref-type="bibr">46</xref>
]. MMPs produced by inflammatory cells, such as macrophages and neutrophils, facilitate migration and recruitment of cells, including inflammatory cells, and are also related to angiogenesis and vascular remodelling [
<xref rid="B47" ref-type="bibr">47</xref>
,
<xref rid="B48" ref-type="bibr">48</xref>
].</p>
<p>Matrix metalloproteinase-9 plays an essential role in leukocyte migration by cleaving the IL-8 precursors, but many other cytokines are also substrates, including TNF-
<italic>α</italic>
and interleukin-1
<italic>β</italic>
[
<xref rid="B49" ref-type="bibr">49</xref>
]. On the other hand, proinflammatory cytokines are implicated in the transcriptional control of MMP-9 [
<xref rid="B50" ref-type="bibr">50</xref>
,
<xref rid="B51" ref-type="bibr">51</xref>
]. MMP-9 is upregulated 3.54x in CP; furthermore, it is also annotated as upregulated in G but without quantification. In PI this protein is only reported as present without any quantification or regulation data.</p>
<p>Among the proteins proposed as biomarkers for CP, there are eight which are common to other PDs but have quantification values up/down <3x when compared to health, which makes them less adequate as biomarkers: prolactin-inducible protein (P12273), superoxide dismutase (P00441), lactotransferrin (P02788), peptidyl-prolyl
<italic> cis</italic>
-
<italic>trans</italic>
isomerase A (P62937), apolipoprotein A-I (P02647), cystatin-SN (P01037), mucin 5B (Q9HC84), and cystatin-S (P01036). Of these, prolactin-inducible protein may act on different subsets of T cells via the CD4 receptor and have antiapoptotic action. The fact that this protein is downregulated (2.55x) may denote the involvement in the mechanism by which, for example, Treg lymphocytes are eliminated in chronic inflammatory processes. Further studies are recommended to evaluate the role of this protein in PD.</p>
</sec>
<sec id="sec6">
<title>6. Functional Roles of the Main Proteins Common to AP and CP: Are There Biomarkers for AP?</title>
<p>From the analysis of PD proteomes and the integration of the information on the proteins proposed as biomarkers for AP (
<xref ref-type="table" rid="tab2">Table 2</xref>
), a set of 14 proteins seems to be the most promising considering their quantification data, but all proteins were identified in other variants of PD (
<xref ref-type="table" rid="tab2">Table 2</xref>
). Even though some of the 14 proteins have not been proposed earlier as biomarkers for AP, the quantification data suggest that they might be an adequate choice. The following proteins ordered by decreasing fold change relative to the quantification in AP and health: hemoglobin subunit delta (P02042), RANKL (O14788), osteoprotegerin (O00300), neutrophil gelatinase-associated lipocalin (P80188), plastin (P13796), neutrophil defensin 1 (P59665), serotransferrin (P02787), lysozyme C (P61626), annexin A1 (P04083), profilin-1 (P07737), Ig alpha-1 chain C region (P01876), Ig gamma-2 chain C region (P01859), Ig alpha-2 chain C region (P01877), and dermcidin (P81605). All of these proteins have been previously identified in saliva except dermcidin identified only in crevicular fluid.</p>
<p>One of the hallmarks of periodontitis has been the massive accumulation of neutrophils, which can be found in the gingival connective tissue, the junctional epithelium, and especially the periodontal pocket, where they constitute the overwhelming majority of recruited leukocytes [
<xref rid="B52" ref-type="bibr">52</xref>
]. Among the proteins excreted by activated neutrophils, neutrophil gelatinase-associated lipocalin (NGAL) is released from azurophil, specific, and gelatinase granules [
<xref rid="B53" ref-type="bibr">53</xref>
]. NGAL is an important protein protecting against Gram-negative bacterial infection and is a ligand for MMP-9 activating this enzyme. The expression of NGAL is altered in inflammatory conditions [
<xref rid="B54" ref-type="bibr">54</xref>
]. Agents that induce NF-
<italic>κ</italic>
B signalling, such as IL-1
<italic>β</italic>
and TLRs activation via LPS, positively regulate NGAL expression. Additionally a cross-talk between the JNK (activated via LPS) and NF-
<italic>κ</italic>
B has been suggested to act together to upregulate NGAL expression [
<xref rid="B55" ref-type="bibr">55</xref>
]. NGAL is upregulated 18.9x in AP, while in CP it is upregulated only 1.8x. The increased expression of NGAL in AP may be one of the few effective antimicrobial mechanisms since most of the proteins involved in microbial defence are downregulated.</p>
<p>Defensins are small, cationic, antimicrobial peptides that are considered to be important antibiotic-like effectors of innate immunity. Defensins also function as immunomodulatory molecules by inducing cytokine and chemokine production, as well as inflammatory and immune cell activation [
<xref rid="B56" ref-type="bibr">56</xref>
]. By using chemokine receptors on dendritic cells and naïve T cells, defensins might also contribute to the regulation of host adaptive immunity. Recently, the role of neutrophil defensin 1 in the integrity of keratinocytes has been demonstrated and in low concentrations of this molecule, keratinocyte proliferation is enhanced [
<xref rid="B57" ref-type="bibr">57</xref>
]. Neutrophil defensin 1 is one of the counterregulated proteins; it is 14.8x downregulated in AP and 4x upregulated in CP. Up to now, there is no evidence available on the exact role of neutrophil defensin 1 in AP. Is the decrease in neutrophil defensin 1 responsible for the apparent decrease in the host's capacity to fight off infection characteristic of AP? Or is the decrease in this molecule aimed only at guaranteeing the proliferation of the keratinocytes to compensate tissue destruction characteristic of PD?</p>
<p>Another protein released by neutrophils, annexin I, inhibits the signal transduction pathway, acting as a negative regulator of proinflammatory mediators including IL-1 and IL-6. Annexin I also regulates phospholipase A2 activity and consequently the cyclooxygenase-2. Annexin I has the ability to restrict leukocyte transmigration and recruitment during inflammation in a MAPK-dependent manner [
<xref rid="B58" ref-type="bibr">58</xref>
<xref rid="B60" ref-type="bibr">60</xref>
]. In several experimental models of arthritis, absence of annexin-1 has been associated with increased levels of cytokines and exacerbation of acute inflammation [
<xref rid="B61" ref-type="bibr">61</xref>
,
<xref rid="B62" ref-type="bibr">62</xref>
]. Annexin A1 is downregulated 8.1x in AP and upregulated 1.5x in CP which means that a low concentration of this protein in AP contributes to a higher neutrophil migration and an increase in proinflammatory molecules.</p>
<p>Plastin-2 is a leukocyte-specific F-actin-bundling protein implicated in cell migration, neutrophil function, DNA repair, and endocytosis [
<xref rid="B63" ref-type="bibr">63</xref>
,
<xref rid="B64" ref-type="bibr">64</xref>
]. The expression of plastin-2 is restricted to leukocytes, although L-plastin is also aberrantly upregulated in many cancer cells [
<xref rid="B63" ref-type="bibr">63</xref>
<xref rid="B65" ref-type="bibr">65</xref>
]. A recent study demonstrates an important role for plastin-2 and the signalling pathways regulating its phosphorylation in response to chemokines which adds plastin-2 to a growing list of proteins implicated in T lymphocyte polarity and migration [
<xref rid="B66" ref-type="bibr">66</xref>
]. Plastin-2 is upregulated 15.6x in AP and 4.9x in CP and is probably one of the proteins responsible for the migration and activation of T cells in PD. This protein has been proposed as a biomarker for AP, CP, and G.</p>
<p>The role of the receptor activator of nuclear factor NF-kappa-B ligand and the osteoprotegerin (RANKL-OPG), a bimolecular system considered as the “bottle-neck” regulator of osteoclastogenesis and bone resorption, in both physiological and pathological conditions, is well known. However, the sequence of molecular and cellular events which lead to the production of these molecules in PD is not clear. Neutrophils can induce osteoclastic bone resorption through the expression of membrane-bound RANKL but could only mediate periodontal bone resorption if they are in close proximity to the bone [
<xref rid="B67" ref-type="bibr">67</xref>
]. Nevertheless, all resident mesenchymal cells may also express RANKL under bacterial challenge [
<xref rid="B68" ref-type="bibr">68</xref>
]. It was recently stated that the increased RANKL/OPG ratio may denote the occurrence of periodontitis but may not predict ongoing disease activity because its steadily elevated levels frequently remain after treatment, suggesting that the molecular mechanisms of bone resorption are still active [
<xref rid="B69" ref-type="bibr">69</xref>
]. RANKL is upregulated 57x in AP, 16x in CP, and 12x in PI. Osteoprotegerin (OPG) is downregulated 4x in AP, 2.28x in CP, and 2.44x in PI.</p>
<p>Together these 6 proteins, neutrophil gelatinase-associated lipocalin, neutrophil defensin 1, annexin A1, plastin, RANKL,and OPG, identify the following molecular mechanisms present in AP: (i) high number of neutrophils remaining in the tissue which leads to an exaggerated innate immune response and prevalence of the associated molecular mechanisms (neutrophil gelatinase-associated lipocalin); (ii) decrease in the antimicrobial defence mechanisms (neutrophil defensin 1); (iii) increase in the expression of proinflammatory cytokines due to a decrease in the concentration of the main anti-inflammatory molecules (annexin A1); (iv) the onset of the acquired immune response by the recruitment and activation of T lymphocytes (plastin); (v) strong activation of osteoclastogenesis by a great increase in the protein regulating the differentiation and activation of osteoclasts (RANKL) accompanied by a corresponding decrease in the OPG.</p>
<p>Neutrophil gelatinase-associated lipocalin and neutrophil defensin 1 have not been suggested as biomarkers for AP yet, only for CP (
<xref ref-type="table" rid="tab2">Table 2</xref>
). However, from the functional role and the quantification data, we suggest that these two proteins are the biomarkers which identify AP more specifically.</p>
<p>From the remaining proteins in the proposed biomarker group, 3 act as antimicrobial molecules and are downregulated in AP and upregulated in CP revealing that the general antimicrobial defence mechanisms are definitely compromised.</p>
<p>Dermcidin forms tiny channels perforating the cell membrane and its presence in granules of neutrophils has been reported [
<xref rid="B53" ref-type="bibr">53</xref>
]. It is also known that dermcidin expression is not induced under inflammatory conditions in keratinocytes [
<xref rid="B70" ref-type="bibr">70</xref>
,
<xref rid="B71" ref-type="bibr">71</xref>
]. In AP, dermcidin is downregulated 2.3x and it is upregulated 1.4x in CP.</p>
<p>Lysozyme C is a proteolytic enzyme secreted by oral leucocytes that acts on both peptide-substituted and unsubstituted peptidoglycan. Lysozyme C is downregulated 9.1x in AP, upregulated 1.99x in CP, and downregulated 1.41x in G.</p>
<p>Serotransferrin binds iron and prevents bacterial survival. The level of serotransferrin decreases in inflammation [
<xref rid="B72" ref-type="bibr">72</xref>
]. Serotransferrin is downregulated 10.4x in AP and upregulated 1.56x in CP.</p>
<p>Another protein present in AP proteome is profilin-1, an actin-binding protein, which is widely distributed in various types of cells with highly conserved sequences. Profilin-1 achieves its function via the regulation of unpolymerised actin in cells contributing to endothelial cell contraction and vascular hyperpermeability. Recently, it has been reported that overexpression of profilin-1 upregulated the expression of ICAM-1, increased endothelial cell permeability, induced endothelial cell apoptosis, and promoted endothelial cell migration [
<xref rid="B73" ref-type="bibr">73</xref>
]. Under pathological conditions, such as diabetes or atherosclerosis, profilin-1 levels increase. It has been verified that AGEs upregulated the expression of profilin-1 via the excess production of ROS and subsequent activation of PKC and NF-
<italic>κ</italic>
B [
<xref rid="B73" ref-type="bibr">73</xref>
].</p>
<p>Profilin 1 is upregulated in AP 4.5x, in CP 2.51x, and 2.00x in G. This protein has been proposed as a biomarker only for CP. Due to this protein's relevance in vascular tissue lesion, further studies in PD are recommended as it may be an early indicator of the host's response in PD and will be the link between PD and cardiovascular disease.</p>
<p>Finally, keratin type II cytoskeletal 1 (P04264) is downregulated 44.3x in AP and upregulated 34.9x in CP. Keratin, type II cytoskeletal 2 oral, is downregulated 6.4x in AP and upregulated 5.2x in CP. McLaughlin demonstrated that the keratin concentration in GCF was significantly higher at sites exhibiting signs of gingivitis and periodontitis compared with healthy sites [
<xref rid="B74" ref-type="bibr">74</xref>
]. The OralCard data shows counterregulated quantities of keratins in AP versus CP. The keratins are the typical intermediate filament proteins of epithelia, showing an outstanding degree of molecular diversity. They are expressed in highly specific patterns related to the epithelial type and stage of cellular differentiation. The keratin, type II cytoskeletal 2 oral, is synthesized during maturation of epidermal keratinocytes. Stress conditions affect not only keratin expression profiles, but also keratin expression levels and posttranslational modification. In terms of the importance of keratins for PD diagnostics there is not enough evidence to associate the differential expression present in AP and CP.</p>
<p>Because we have not identified a single protein exclusive of AP, we consider that, with the functional information available, the conjugation of neutrophil gelatinase-associated lipocalin upregulated in AP, with neutrophil defensin 1 and annexin A1 both downregulated in AP, may be used to identify AP.</p>
<p>Belibasakis and Bostanci suggest studies establishing the levels of RANKL to discriminate between health and periodontal disease [
<xref rid="B69" ref-type="bibr">69</xref>
]. These results are important to establish the RANKL level that discriminate between health and the PD variants.</p>
<p>Serotransferrin, a keratin type II cytoskeletal 1, and keratin type II cytoskeletal 2 oral, being counterregulated in AP and CP, may allow the differential diagnostic between the two pathologies.</p>
</sec>
<sec id="sec7">
<title>7. The Scenario of the Proposed Biomarkers for Perimplantitis</title>
<p>The sequence of immunopathological events and the qualitative composition of the immune cells in periimplant infections are similar to that of periodontal infections. Nevertheless, compared to periodontitis, periimplantitis is marked by a more extensive inflammatory infiltrate and innate immune response, a greater severity of tissue destruction, and a faster progression rate [
<xref rid="B75" ref-type="bibr">75</xref>
].</p>
<p>In PI, a single exclusive protein has been proposed as a biomarker: alkaline phosphatase, tissue-nonspecific isozyme (P05186) which is upregulated 5.9x.</p>
<p>Alkaline phosphatase (TNAP) belongs to a ubiquitous family of metalloenzymes that play an essential physiological role during osteoblastic bone matrix mineralization [
<xref rid="B76" ref-type="bibr">76</xref>
,
<xref rid="B77" ref-type="bibr">77</xref>
]. It is expressed on the cell membrane of osteoblasts and odontoblasts, as an ectoenzyme transported to the plasma membrane. Infections, including bone infections, can lead to increased tissue-nonspecific alkaline phosphatase levels. TNAP is also present in neutrophils granules and its activity increases in bacterial infection [
<xref rid="B78" ref-type="bibr">78</xref>
]. As to the relevance of this enzyme in PD, the literature is not consensual; some authors state that elevated alkaline phosphatase levels precede attachment loss, when the clinical parameters are not yet discriminatory [
<xref rid="B79" ref-type="bibr">79</xref>
], and others consider that there is no support for the predictive value of alkaline phosphatase levels in periodontal breakdown but that it may serve as a marker in periodontal treatment planning and monitoring [
<xref rid="B80" ref-type="bibr">80</xref>
,
<xref rid="B81" ref-type="bibr">81</xref>
]. Another function of TNAP is its ability to remove one of the two phosphate groups from the lipid moiety of the Gram-negative bacterial LPS, which results in the formation of nontoxic dephosphorylated monophosphoryl LPS (MPLPS), ineffective to activate the TLR receptors [
<xref rid="B82" ref-type="bibr">82</xref>
]. Two other proteins proposed as biomarkers in PI were also identified: neutrophil collagenase/MMP-8 (P22894) upregulated 1.1x in AP, 1.82x in CP, and 9.7x in PI and neutrophil elastase (P08246) upregulated 2x in AP, 6.5x in CP, and 12.8x in PI.</p>
<p>MMP-8, released from neutrophils and potentially other cellular sources at sites of inflammation, activates IL-8 and IL-6 and chemokines, creating a “feed-forward” response that drives further neutrophil recruitment and a self-reinforcing protease-immunomodulatory circuit that may underpin its function in diverse physiological repair and defence mechanisms [
<xref rid="B83" ref-type="bibr">83</xref>
,
<xref rid="B84" ref-type="bibr">84</xref>
].</p>
<p>Neutrophil elastase (NE), a cationic glycoprotein, is stored in readily active form in PMN primary granules [
<xref rid="B85" ref-type="bibr">85</xref>
], is a key antimicrobial enzyme that mediates defence against Gram-negative bacteria by degradation of structural proteins localized on the cell wall [
<xref rid="B86" ref-type="bibr">86</xref>
] or by targeting their virulence factors [
<xref rid="B87" ref-type="bibr">87</xref>
]. NE also binds to PMN-derived chromatin structures, termed neutrophil extracellular traps, and exerts its own antimicrobial function [
<xref rid="B88" ref-type="bibr">88</xref>
].</p>
<p>Alpha-2-macroglobulin (P01023) (
<italic>α</italic>
2-M), one of the acute phase proteins, apart from inhibiting proteinases, regulates binding of transferrin to its surface receptor, binds defensin and several important cytokines, including interleukin-1
<italic>β</italic>
and interleukin-6, and modifies their biological activity [
<xref rid="B89" ref-type="bibr">89</xref>
]. Alpha-2-macroglobulin is upregulated 2.15x in CP and 8.1x in PI, but it has been proposed as a biomarker only in CP.</p>
<p>For the 4 proteins which represent a greater impact on PI, it is still not possible to clarify their participation in PD, but considering their role, namely, as immune response modulators, a deeper study of their influence in PD is justified.</p>
</sec>
<sec id="sec8">
<title>8. The Proposed Biomarkers in Gingivitis</title>
<p>Although dental plaque accumulation causes gingivitis (a reversible form of periodontal inflammation that does not involve the alveolar bone), gingivitis in turn does not necessarily lead to periodontitis, suggesting that stable gingivitis means that a protective host response exists.</p>
<p>As biomarkers for G, the following molecules were proposed: oncostatin-M and azurocidin, already discussed in CP; RANKL which is shared by all PD variants being the lower values observed in G; and plastin-2 and serotransferrin shared with AP and CP, which have been proposed as biomarkers in G but have not been quantified in this disease variant.</p>
<p>Our analysis points to neutrophil defensin 3 as a molecule which may be suitable for the differential diagnostic between G and CP. In addition to its antimicrobial effects, it has also been reported to attract monocytes [
<xref rid="B90" ref-type="bibr">90</xref>
] and T and dendritic cells [
<xref rid="B91" ref-type="bibr">91</xref>
]. Neutrophil defensin 3 is counterregulated in G and CP, and future studies should be performed to evaluate if the protein is present in quantities up/down 3x.</p>
</sec>
<sec id="sec9">
<title>9. Conclusions</title>
<p>The analysis of the 43 proteins proposed as biomarkers for PD allowed the identification of their functional role and the cells which produce them.
<xref ref-type="fig" rid="fig1"> Figure 1</xref>
shows a selection of biomarkers that, due to their quantification, better characterize each PD variant. Clearly, the biomarkers proposed for CP are produced by neutrophils and macrophages and are involved in mechanisms responsible for monocyte and neutrophil recruitment and the regulation of proinflammatory molecule production. Platelets are a source of thymidine phosphorylase, a protein eventually implicated in the deregulation of angiogenesis.</p>
<p>In contrast, the biomarkers proposed for AP are essentially produced by neutrophils. The quantification data of these proteins points to a decrease in antimicrobial defence mechanisms.</p>
<p>The biomarkers proposed for PI are also produced by neutrophils. They represent mechanisms involved in the innate response and bone remodelling processes.</p>
<p>Some of the biomarkers proposed so far for PD are promising but the quantification data are scarce. Further quantitative proteomic studies are needed not only to establish the expression levels of these proteins in each PD variant, but also to establish the protein levels associated with health.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors acknowledge Artspazios for the creation of the artwork presented in this paper.</p>
</ack>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>ACE:</term>
<def>
<p>Angiotensin converting enzyme</p>
</def>
</def-item>
<def-item>
<term>AGEs:</term>
<def>
<p>Advanced glycation end-products</p>
</def>
</def-item>
<def-item>
<term>AP:</term>
<def>
<p>Aggressive periodontitis</p>
</def>
</def-item>
<def-item>
<term>CCL13:</term>
<def>
<p>Chemokine (C-C motif) ligand 13</p>
</def>
</def-item>
<def-item>
<term>CCR1:</term>
<def>
<p>CC chemokine receptor 1</p>
</def>
</def-item>
<def-item>
<term>CD4:</term>
<def>
<p>T cell surface glycoprotein CD4</p>
</def>
</def-item>
<def-item>
<term>COX-2:</term>
<def>
<p>Prostaglandin G/H synthase 2</p>
</def>
</def-item>
<def-item>
<term>CP:</term>
<def>
<p>Chronic periodontitis</p>
</def>
</def-item>
<def-item>
<term>G:</term>
<def>
<p>Gingivitis</p>
</def>
</def-item>
<def-item>
<term>ICAM-1:</term>
<def>
<p>Intercellular adhesion molecule 1</p>
</def>
</def-item>
<def-item>
<term>IL-1:</term>
<def>
<p>Interleukin-1</p>
</def>
</def-item>
<def-item>
<term>IL-17:</term>
<def>
<p>Interleukin-17</p>
</def>
</def-item>
<def-item>
<term>IL-6:</term>
<def>
<p>Interleukin-6</p>
</def>
</def-item>
<def-item>
<term>IL-8:</term>
<def>
<p>Interleukin-8</p>
</def>
</def-item>
<def-item>
<term>Jak/Stat:</term>
<def>
<p>Janus kinase/signal transducer and activator of transcription</p>
</def>
</def-item>
<def-item>
<term>JNK:</term>
<def>
<p>c-Jun N-terminal kinase</p>
</def>
</def-item>
<def-item>
<term>LPS:</term>
<def>
<p>Lipopolysaccharide</p>
</def>
</def-item>
<def-item>
<term>MAPK:</term>
<def>
<p>Mitogen activated protein kinases</p>
</def>
</def-item>
<def-item>
<term>MIP-1:</term>
<def>
<p>Macrophage inflammatory protein 1</p>
</def>
</def-item>
<def-item>
<term>MMP:</term>
<def>
<p>Matrix metalloproteinase</p>
</def>
</def-item>
<def-item>
<term>MPLPS:</term>
<def>
<p>Monophosphoryl lipopolysaccharide</p>
</def>
</def-item>
<def-item>
<term>NE:</term>
<def>
<p>Neutrophil elastase</p>
</def>
</def-item>
<def-item>
<term>NF-
<italic>κ</italic>
-B:</term>
<def>
<p>Nuclear factor NF-kappa-B</p>
</def>
</def-item>
<def-item>
<term>NGAL:</term>
<def>
<p>Neutrophil gelatinase-associated lipocalin</p>
</def>
</def-item>
<def-item>
<term>OPG:</term>
<def>
<p>Osteoprotegerin</p>
</def>
</def-item>
<def-item>
<term>PD:</term>
<def>
<p>Periodontal diseases</p>
</def>
</def-item>
<def-item>
<term>PI:</term>
<def>
<p>Periimplantitis</p>
</def>
</def-item>
<def-item>
<term>PKC:</term>
<def>
<p>Protein kinase C</p>
</def>
</def-item>
<def-item>
<term>PMN:</term>
<def>
<p>Polymorphonuclear leukocytes</p>
</def>
</def-item>
<def-item>
<term>RANKL:</term>
<def>
<p>Tumor necrosis factor ligand superfamily member 11</p>
</def>
</def-item>
<def-item>
<term>ROS:</term>
<def>
<p>Reactive oxygen species</p>
</def>
</def-item>
<def-item>
<term>STRING:</term>
<def>
<p>Search tool for the retrieval of interacting genes/proteins</p>
</def>
</def-item>
<def-item>
<term>Th:</term>
<def>
<p>T helper cells.</p>
</def>
</def-item>
<def-item>
<term>TIMP:</term>
<def>
<p>Tissue inhibitor of metalloproteinases</p>
</def>
</def-item>
<def-item>
<term>TLR4:</term>
<def>
<p>Toll-like receptor 4</p>
</def>
</def-item>
<def-item>
<term>TNAP:</term>
<def>
<p>Tissue-nonspecific alkaline phosphatase</p>
</def>
</def-item>
<def-item>
<term>TNF-
<italic>α</italic>
:</term>
<def>
<p>Tumor necrosis factor</p>
</def>
</def-item>
<def-item>
<term>Tregs:</term>
<def>
<p>Regulatory T cells</p>
</def>
</def-item>
<def-item>
<term>
<italic>α</italic>
2-M:</term>
<def>
<p>Alpha-2-macroglobulin.</p>
</def>
</def-item>
</def-list>
</glossary>
<sec sec-type="conflict">
<title>Conflict of Interests</title>
<p>The authors declare that there is no conflict of interests regarding the publication of this paper.</p>
</sec>
<sec>
<title>Authors' Contribution</title>
<p>The paper was written through contributions of all authors. All authors have given approval to the final version of the paper.</p>
</sec>
<ref-list>
<ref id="B1">
<label>1</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Graves</surname>
<given-names>DT</given-names>
</name>
<name>
<surname>Oates</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Garlet</surname>
<given-names>GP</given-names>
</name>
</person-group>
<article-title>Review of osteoimmunology and the host response in endodontic and periodontal lesions</article-title>
<source>
<italic>Journal of Oral Microbiology</italic>
</source>
<year>2011</year>
<volume>3</volume>
<issue>2011, article 5304</issue>
<pub-id pub-id-type="other">2-s2.0-84863989927</pub-id>
</element-citation>
</ref>
<ref id="B2">
<label>2</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miyauchi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Sato</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Kitagawa</surname>
<given-names>S</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Cytokine expression in rat molar gingival periodontal tissues after topical application of lipopolysaccharide</article-title>
<source>
<italic>Histochemistry and Cell Biology</italic>
</source>
<year>2001</year>
<volume>116</volume>
<issue>1</issue>
<fpage>57</fpage>
<lpage>62</lpage>
<pub-id pub-id-type="other">2-s2.0-0034942146</pub-id>
<pub-id pub-id-type="pmid">11479723</pub-id>
</element-citation>
</ref>
<ref id="B3">
<label>3</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dias</surname>
<given-names>IHK</given-names>
</name>
<name>
<surname>Matthews</surname>
<given-names>JB</given-names>
</name>
<name>
<surname>Chapple</surname>
<given-names>ILC</given-names>
</name>
<name>
<surname>Wright</surname>
<given-names>HJ</given-names>
</name>
<name>
<surname>Dunston</surname>
<given-names>CR</given-names>
</name>
<name>
<surname>Griffiths</surname>
<given-names>HR</given-names>
</name>
</person-group>
<article-title>Activation of the neutrophil respiratory burst by plasma from periodontitis patients is mediated by pro-inflammatory cytokines</article-title>
<source>
<italic>Journal of Clinical Periodontology</italic>
</source>
<year>2011</year>
<volume>38</volume>
<issue>1</issue>
<fpage>1</fpage>
<lpage>7</lpage>
<pub-id pub-id-type="other">2-s2.0-78650413695</pub-id>
<pub-id pub-id-type="pmid">20964702</pub-id>
</element-citation>
</ref>
<ref id="B4">
<label>4</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lakschevitz</surname>
<given-names>FS</given-names>
</name>
<name>
<surname>Aboodi</surname>
<given-names>GM</given-names>
</name>
<name>
<surname>Glogauer</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Oral neutrophil transcriptome changes result in a pro-survival phenotype in periodontal diseases</article-title>
<source>
<italic>PLoS ONE</italic>
</source>
<year>2013</year>
<volume>8</volume>
<issue>7</issue>
<pub-id pub-id-type="other">2-s2.0-84880073932</pub-id>
<pub-id pub-id-type="publisher-id">e68983</pub-id>
</element-citation>
</ref>
<ref id="B5">
<label>5</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muthukuru</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Jotwani</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Cutler</surname>
<given-names>CW</given-names>
</name>
</person-group>
<article-title>Oral mucosal endotoxin tolerance induction in chronic periodontitis</article-title>
<source>
<italic>Infection and Immunity</italic>
</source>
<year>2005</year>
<volume>73</volume>
<issue>2</issue>
<fpage>687</fpage>
<lpage>694</lpage>
<pub-id pub-id-type="other">2-s2.0-12844278116</pub-id>
<pub-id pub-id-type="pmid">15664906</pub-id>
</element-citation>
</ref>
<ref id="B6">
<label>6</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yamamoto</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Fujihashi</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Hiroi</surname>
<given-names>T</given-names>
</name>
<name>
<surname>McGhee</surname>
<given-names>JR</given-names>
</name>
<name>
<surname>van Dyke</surname>
<given-names>TE</given-names>
</name>
<name>
<surname>Kiyono</surname>
<given-names>H</given-names>
</name>
</person-group>
<article-title>Molecular and cellular mechanisms for periodontal diseases: role of Th1 and Th2 type cytokines in induction of mucosal inflammation</article-title>
<source>
<italic>Journal of Periodontal Research</italic>
</source>
<year>1997</year>
<volume>32</volume>
<issue>1, part 2</issue>
<fpage>115</fpage>
<lpage>119</lpage>
<pub-id pub-id-type="other">2-s2.0-0030623608</pub-id>
<pub-id pub-id-type="pmid">9085220</pub-id>
</element-citation>
</ref>
<ref id="B7">
<label>7</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moutsopoulos</surname>
<given-names>NM</given-names>
</name>
<name>
<surname>Kling</surname>
<given-names>HM</given-names>
</name>
<name>
<surname>Angelov</surname>
<given-names>N</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Porphyromonas gingivalis promotes Th17 inducing pathways in chronic periodontitis</article-title>
<source>
<italic>Journal of Autoimmunity</italic>
</source>
<year>2012</year>
<volume>39</volume>
<issue>4</issue>
<fpage>294</fpage>
<lpage>303</lpage>
<pub-id pub-id-type="other">2-s2.0-84869857368</pub-id>
<pub-id pub-id-type="pmid">22560973</pub-id>
</element-citation>
</ref>
<ref id="B8">
<label>8</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Belibasakis</surname>
<given-names>GN</given-names>
</name>
<name>
<surname>Reddi</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Bostanci</surname>
<given-names>N</given-names>
</name>
</person-group>
<article-title>Porphyromonas gingivalis induces RANKL in T-cells</article-title>
<source>
<italic>Inflammation</italic>
</source>
<year>2011</year>
<volume>34</volume>
<issue>2</issue>
<fpage>133</fpage>
<lpage>138</lpage>
<pub-id pub-id-type="other">2-s2.0-79956032353</pub-id>
<pub-id pub-id-type="pmid">20446027</pub-id>
</element-citation>
</ref>
<ref id="B9">
<label>9</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cardoso</surname>
<given-names>CR</given-names>
</name>
<name>
<surname>Garlet</surname>
<given-names>GP</given-names>
</name>
<name>
<surname>Moreira</surname>
<given-names>AP</given-names>
</name>
<name>
<surname>Martins</surname>
<given-names>W</given-names>
<suffix>Jr.</suffix>
</name>
<name>
<surname>Rossi</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Silva</surname>
<given-names>JS</given-names>
</name>
</person-group>
<article-title>Characterization of CD4+CD25+ natural regulatory T cells in the inflammatory infiltrate of human chronic periodontitis</article-title>
<source>
<italic>Journal of Leukocyte Biology</italic>
</source>
<year>2008</year>
<volume>84</volume>
<issue>1</issue>
<fpage>311</fpage>
<lpage>318</lpage>
<pub-id pub-id-type="other">2-s2.0-46949090340</pub-id>
<pub-id pub-id-type="pmid">18451325</pub-id>
</element-citation>
</ref>
<ref id="B10">
<label>10</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Berglundh</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Donati</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Aspects of adaptive host response in periodontitis</article-title>
<source>
<italic>Journal of Clinical Periodontology</italic>
</source>
<year>2005</year>
<volume>32</volume>
<issue>6</issue>
<fpage>87</fpage>
<lpage>107</lpage>
<pub-id pub-id-type="other">2-s2.0-25844486524</pub-id>
<pub-id pub-id-type="pmid">16128832</pub-id>
</element-citation>
</ref>
<ref id="B11">
<label>11</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nikolajczyk</surname>
<given-names>BS</given-names>
</name>
<name>
<surname>Jagannathan-Bogdan</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Denis</surname>
<given-names>GV</given-names>
</name>
</person-group>
<article-title>The outliers become a stampede as immunometabolism reaches a tipping point</article-title>
<source>
<italic>Immunological Reviews</italic>
</source>
<year>2012</year>
<volume>249</volume>
<issue>1</issue>
<fpage>253</fpage>
<lpage>275</lpage>
<pub-id pub-id-type="other">2-s2.0-84865294186</pub-id>
<pub-id pub-id-type="pmid">22889227</pub-id>
</element-citation>
</ref>
<ref id="B12">
<label>12</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Onal</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Xiong</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>X</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Receptor activator of nuclear factor
<italic>κ</italic>
B ligand (RANKL) protein expression by B lymphocytes contributes to ovariectomy-induced bone loss</article-title>
<source>
<italic>Journal of Biological Chemistry</italic>
</source>
<year>2012</year>
<volume>287</volume>
<issue>35</issue>
<fpage>29851</fpage>
<lpage>29860</lpage>
<pub-id pub-id-type="other">2-s2.0-84865446399</pub-id>
<pub-id pub-id-type="pmid">22782898</pub-id>
</element-citation>
</ref>
<ref id="B13">
<label>13</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Semple</surname>
<given-names>JW</given-names>
</name>
<name>
<surname>Italiano</surname>
<given-names>JE</given-names>
<suffix>Jr.</suffix>
</name>
<name>
<surname>Freedman</surname>
<given-names>J</given-names>
</name>
</person-group>
<article-title>Platelets and the immune continuum</article-title>
<source>
<italic>Nature Reviews Immunology</italic>
</source>
<year>2011</year>
<volume>11</volume>
<issue>4</issue>
<fpage>264</fpage>
<lpage>274</lpage>
<pub-id pub-id-type="other">2-s2.0-79953150620</pub-id>
</element-citation>
</ref>
<ref id="B14">
<label>14</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Buduneli</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Kinane</surname>
<given-names>DF</given-names>
</name>
</person-group>
<article-title>Host-derived diagnostic markers related to soft tissue destruction and bone degradation in periodontitis</article-title>
<source>
<italic>Journal of Clinical Periodontology</italic>
</source>
<year>2011</year>
<volume>38</volume>
<issue>11</issue>
<fpage>85</fpage>
<lpage>105</lpage>
<pub-id pub-id-type="other">2-s2.0-79951898848</pub-id>
<pub-id pub-id-type="pmid">21323706</pub-id>
</element-citation>
</ref>
<ref id="B15">
<label>15</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rosa</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Correia</surname>
<given-names>MJ</given-names>
</name>
<name>
<surname>Arrais</surname>
<given-names>JP</given-names>
</name>
<etal></etal>
</person-group>
<article-title>From the salivary proteome to the OralOme: comprehensive molecular oral biology</article-title>
<source>
<italic>Archives of Oral Biology</italic>
</source>
<year>2012</year>
<volume>57</volume>
<issue>7</issue>
<fpage>853</fpage>
<lpage>864</lpage>
<pub-id pub-id-type="other">2-s2.0-84862872419</pub-id>
<pub-id pub-id-type="pmid">22284344</pub-id>
</element-citation>
</ref>
<ref id="B16">
<label>16</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arrais</surname>
<given-names>JP</given-names>
</name>
<name>
<surname>Rosa</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Melo</surname>
<given-names>J</given-names>
</name>
<etal></etal>
</person-group>
<article-title>OralCard: a bioinformatic tool for the study of oral proteome</article-title>
<source>
<italic>Archives of Oral Biology</italic>
</source>
<year>2013</year>
<volume>58</volume>
<issue>7</issue>
<fpage>762</fpage>
<lpage>772</lpage>
<pub-id pub-id-type="other">2-s2.0-84878216035</pub-id>
<pub-id pub-id-type="pmid">23395672</pub-id>
</element-citation>
</ref>
<ref id="B17">
<label>17</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chan</surname>
<given-names>HH</given-names>
</name>
<name>
<surname>Rahim</surname>
<given-names>ZHA</given-names>
</name>
<name>
<surname>Jessie</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Hashim</surname>
<given-names>OH</given-names>
</name>
<name>
<surname>Taiyeb-Ali</surname>
<given-names>TB</given-names>
</name>
</person-group>
<article-title>Salivary proteins associated with periodontitis in patients with type 2 diabetes mellitus</article-title>
<source>
<italic>International Journal of Molecular Sciences</italic>
</source>
<year>2012</year>
<volume>13</volume>
<issue>4</issue>
<fpage>4652</fpage>
<lpage>4654</lpage>
<pub-id pub-id-type="other">2-s2.0-84860209395</pub-id>
</element-citation>
</ref>
<ref id="B18">
<label>18</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deo</surname>
<given-names>RC</given-names>
</name>
<name>
<surname>Roth</surname>
<given-names>FP</given-names>
</name>
</person-group>
<article-title>Pathways of the heart</article-title>
<source>
<italic>Circulation: Cardiovascular Genetics</italic>
</source>
<year>2009</year>
<volume>2</volume>
<issue>4</issue>
<fpage>303</fpage>
<lpage>305</lpage>
<pub-id pub-id-type="other">2-s2.0-77449104076</pub-id>
<pub-id pub-id-type="pmid">20031600</pub-id>
</element-citation>
</ref>
<ref id="B19">
<label>19</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fisher</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Redmond</surname>
<given-names>CK</given-names>
</name>
<name>
<surname>Fisher</surname>
<given-names>ER</given-names>
</name>
</person-group>
<article-title>Evolution of knowledge related to breast cancer heterogeneity: a 25-year retrospective</article-title>
<source>
<italic>Journal of Clinical Oncology</italic>
</source>
<year>2008</year>
<volume>26</volume>
<issue>13</issue>
<fpage>2068</fpage>
<lpage>2071</lpage>
<pub-id pub-id-type="other">2-s2.0-43749093442</pub-id>
<pub-id pub-id-type="pmid">18445835</pub-id>
</element-citation>
</ref>
<ref id="B20">
<label>20</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Franceschini</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Szklarczyk</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Frankild</surname>
<given-names>S</given-names>
</name>
<etal></etal>
</person-group>
<article-title>STRING v9.1: protein-protein interaction networks, with increased coverage and integration</article-title>
<source>
<italic>Nucleic Acids Research</italic>
</source>
<year>2013</year>
<volume>41</volume>
<issue>1</issue>
<fpage>D808</fpage>
<lpage>D815</lpage>
<pub-id pub-id-type="other">2-s2.0-84876515907</pub-id>
<pub-id pub-id-type="pmid">23203871</pub-id>
</element-citation>
</ref>
<ref id="B21">
<label>21</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bagaeva</surname>
<given-names>LV</given-names>
</name>
<name>
<surname>Rao</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Powers</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Segal</surname>
<given-names>BM</given-names>
</name>
</person-group>
<article-title>CXC chemokine ligand 13 plays a role in experimental autoimmune encephalomyelitis</article-title>
<source>
<italic>Journal of Immunology</italic>
</source>
<year>2006</year>
<volume>176</volume>
<issue>12</issue>
<fpage>7676</fpage>
<lpage>7685</lpage>
<pub-id pub-id-type="other">2-s2.0-33744944277</pub-id>
</element-citation>
</ref>
<ref id="B22">
<label>22</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chi</surname>
<given-names>L-M</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>C-W</given-names>
</name>
<name>
<surname>Chang</surname>
<given-names>K-P</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Enhanced interferon signaling pathway in oral cancer revealed by quantitative proteome analysis of microdissected specimens using 160/180 labeling and integrated two-dimensional LC-ESI-MALDI tandem MS</article-title>
<source>
<italic>Molecular and Cellular Proteomics</italic>
</source>
<year>2009</year>
<volume>8</volume>
<issue>7</issue>
<fpage>1453</fpage>
<lpage>1474</lpage>
<pub-id pub-id-type="other">2-s2.0-71049168341</pub-id>
<pub-id pub-id-type="pmid">19297561</pub-id>
</element-citation>
</ref>
<ref id="B23">
<label>23</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deshmane</surname>
<given-names>SL</given-names>
</name>
<name>
<surname>Kremlev</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Amini</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Sawaya</surname>
<given-names>BE</given-names>
</name>
</person-group>
<article-title>Monocyte chemoattractant protein-1 (MCP-1): an overview</article-title>
<source>
<italic>Journal of Interferon and Cytokine Research</italic>
</source>
<year>2009</year>
<volume>29</volume>
<issue>6</issue>
<fpage>313</fpage>
<lpage>325</lpage>
<pub-id pub-id-type="other">2-s2.0-66149172257</pub-id>
<pub-id pub-id-type="pmid">19441883</pub-id>
</element-citation>
</ref>
<ref id="B24">
<label>24</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Benigni</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Cassis</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Remuzzi</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>Angiotensin II revisited: new roles in inflammation, immunology and aging</article-title>
<source>
<italic>EMBO Molecular Medicine</italic>
</source>
<year>2010</year>
<volume>2</volume>
<issue>7</issue>
<fpage>247</fpage>
<lpage>257</lpage>
<pub-id pub-id-type="other">2-s2.0-77956896591</pub-id>
<pub-id pub-id-type="pmid">20597104</pub-id>
</element-citation>
</ref>
<ref id="B25">
<label>25</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jones</surname>
<given-names>SE</given-names>
</name>
<name>
<surname>Jomary</surname>
<given-names>C</given-names>
</name>
</person-group>
<article-title>Clusterin</article-title>
<source>
<italic>International Journal of Biochemistry and Cell Biology</italic>
</source>
<year>2002</year>
<volume>34</volume>
<issue>5</issue>
<fpage>427</fpage>
<lpage>431</lpage>
<pub-id pub-id-type="other">2-s2.0-0036127512</pub-id>
<pub-id pub-id-type="pmid">11906815</pub-id>
</element-citation>
</ref>
<ref id="B26">
<label>26</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Loos</surname>
<given-names>BG</given-names>
</name>
<name>
<surname>Papantonopoulos:</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>Molecular biotypes for periodontal diseases?</article-title>
<source>
<italic>Journal of Dental Research</italic>
</source>
<year>2013</year>
<volume>92</volume>
<issue>12</issue>
<fpage>1056</fpage>
<lpage>1057</lpage>
<pub-id pub-id-type="pmid">24122489</pub-id>
</element-citation>
</ref>
<ref id="B27">
<label>27</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Akdis</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Burgler</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Crameri</surname>
<given-names>R</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Interleukins, from 1 to 37, and interferon-
<italic>γ</italic>
: receptors, functions, and roles in diseases</article-title>
<source>
<italic>Journal of Allergy and Clinical Immunology</italic>
</source>
<year>2011</year>
<volume>127</volume>
<issue>3</issue>
<fpage>701</fpage>
<lpage>721</lpage>
<pub-id pub-id-type="other">2-s2.0-79952291528</pub-id>
<pub-id pub-id-type="pmid">21377040</pub-id>
</element-citation>
</ref>
<ref id="B28">
<label>28</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Richards</surname>
<given-names>CD</given-names>
</name>
</person-group>
<article-title>The enigmatic cytokine oncostatin M and roles in disease</article-title>
<source>
<italic>ISRN Inflammation</italic>
</source>
<year>2013</year>
<volume>2013</volume>
<fpage>23 pages</fpage>
<pub-id pub-id-type="publisher-id">512103</pub-id>
</element-citation>
</ref>
<ref id="B29">
<label>29</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hui</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Cawston</surname>
<given-names>TE</given-names>
</name>
<name>
<surname>Richards</surname>
<given-names>CD</given-names>
</name>
<name>
<surname>Rowan</surname>
<given-names>AD</given-names>
</name>
</person-group>
<article-title>A model of inflammatory arthritis highlights a role for oncostatin M in pro-inflammatory cytokine-induced bone destruction via RANK/RANKL</article-title>
<source>
<italic>Arthritis Research & Therapy</italic>
</source>
<year>2005</year>
<volume>7</volume>
<issue>1</issue>
<fpage>R57</fpage>
<lpage>R64</lpage>
<pub-id pub-id-type="other">2-s2.0-32444448610</pub-id>
<pub-id pub-id-type="pmid">15642143</pub-id>
</element-citation>
</ref>
<ref id="B30">
<label>30</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sims</surname>
<given-names>NA</given-names>
</name>
<name>
<surname>Walsh</surname>
<given-names>NC</given-names>
</name>
</person-group>
<article-title>GP130 cytokines and bone remodelling in health and disease</article-title>
<source>
<italic>BMB Reports</italic>
</source>
<year>2010</year>
<volume>43</volume>
<issue>8</issue>
<fpage>513</fpage>
<lpage>523</lpage>
<pub-id pub-id-type="other">2-s2.0-77956529798</pub-id>
<pub-id pub-id-type="pmid">20797312</pub-id>
</element-citation>
</ref>
<ref id="B31">
<label>31</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Richards</surname>
<given-names>CD</given-names>
</name>
<name>
<surname>Langdon</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Deschamps</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Pennica</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Shaughnessy</surname>
<given-names>SG</given-names>
</name>
</person-group>
<article-title>Stimulation of osteoclast differentiation in vitro by mouse oncostatin M, leukaemia inhibitory factor, cardiotrophin-1 and interleukin 6: synergy with dexamethasone</article-title>
<source>
<italic>Cytokine</italic>
</source>
<year>2000</year>
<volume>12</volume>
<issue>6</issue>
<fpage>613</fpage>
<lpage>621</lpage>
<pub-id pub-id-type="other">2-s2.0-0033923617</pub-id>
<pub-id pub-id-type="pmid">10843736</pub-id>
</element-citation>
</ref>
<ref id="B32">
<label>32</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>WQ</given-names>
</name>
<name>
<surname>Dehnade</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Zafarullah</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Oncostatin M-induced matrix metalloproteinase and tissue inhibitor of metalloproteinase-3 genes expression in chondrocytes requires Janus kinase/STAT signaling pathway</article-title>
<source>
<italic>Journal of Immunology</italic>
</source>
<year>2001</year>
<volume>166</volume>
<issue>5</issue>
<fpage>3491</fpage>
<lpage>3498</lpage>
<pub-id pub-id-type="other">2-s2.0-0035284754</pub-id>
</element-citation>
</ref>
<ref id="B33">
<label>33</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Luster</surname>
<given-names>AD</given-names>
</name>
</person-group>
<article-title>Mechanisms of disease: chemokines—chemotactic cytokines that mediate inflammation</article-title>
<source>
<italic>New England Journal of Medicine</italic>
</source>
<year>1998</year>
<volume>338</volume>
<issue>7</issue>
<fpage>436</fpage>
<lpage>445</lpage>
<pub-id pub-id-type="other">2-s2.0-0032509889</pub-id>
<pub-id pub-id-type="pmid">9459648</pub-id>
</element-citation>
</ref>
<ref id="B34">
<label>34</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yamaguchi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Nozawa</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Fujishiro</surname>
<given-names>M</given-names>
</name>
<etal></etal>
</person-group>
<article-title>CC motif chemokine ligand 13 is associated with rheumatoid arthritis pathogenesis</article-title>
<source>
<italic>Modern Rheumatology</italic>
</source>
<year>2013</year>
<volume>23</volume>
<issue>5</issue>
<fpage>856</fpage>
<lpage>863</lpage>
<pub-id pub-id-type="other">2-s2.0-84866520383</pub-id>
<pub-id pub-id-type="pmid">23007802</pub-id>
</element-citation>
</ref>
<ref id="B35">
<label>35</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nacken</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Roth</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Sorg</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Kerkhoff</surname>
<given-names>C</given-names>
</name>
</person-group>
<article-title>S100A9/S100A8: myeloid representatives of the S100 protein family as prominent players in innate immunity</article-title>
<source>
<italic>Microscopy Research and Technique</italic>
</source>
<year>2003</year>
<volume>60</volume>
<issue>6</issue>
<fpage>569</fpage>
<lpage>580</lpage>
<pub-id pub-id-type="other">2-s2.0-0242335600</pub-id>
<pub-id pub-id-type="pmid">12645005</pub-id>
</element-citation>
</ref>
<ref id="B36">
<label>36</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yui</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Nakatani</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Mikami</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Calprotectin (S100A8/S100A9), an inflammatory protein complex from neutrophils with a broad apoptosis-inducing activity</article-title>
<source>
<italic>Biological and Pharmaceutical Bulletin</italic>
</source>
<year>2003</year>
<volume>26</volume>
<issue>6</issue>
<fpage>753</fpage>
<lpage>760</lpage>
<pub-id pub-id-type="other">2-s2.0-0347726938</pub-id>
<pub-id pub-id-type="pmid">12808281</pub-id>
</element-citation>
</ref>
<ref id="B37">
<label>37</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nakatani</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Yamazaki</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Chazin</surname>
<given-names>WJ</given-names>
</name>
<name>
<surname>Yui</surname>
<given-names>S</given-names>
</name>
</person-group>
<article-title>Regulation of S100A8/A9 (calprotectin) binding to tumor cells by zinc ion and its implication for apoptosis-inducing activity</article-title>
<source>
<italic>Mediators of Inflammation</italic>
</source>
<year>2005</year>
<volume>2005</volume>
<issue>5</issue>
<fpage>280</fpage>
<lpage>292</lpage>
<pub-id pub-id-type="other">2-s2.0-27644494779</pub-id>
<pub-id pub-id-type="pmid">16258195</pub-id>
</element-citation>
</ref>
<ref id="B38">
<label>38</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Perera</surname>
<given-names>C</given-names>
</name>
<name>
<surname>McNeil</surname>
<given-names>HP</given-names>
</name>
<name>
<surname>Geczy</surname>
<given-names>CL</given-names>
</name>
</person-group>
<article-title>S100 Calgranulins in inflammatory arthritis</article-title>
<source>
<italic>Immunology and Cell Biology</italic>
</source>
<year>2010</year>
<volume>88</volume>
<issue>1</issue>
<fpage>41</fpage>
<lpage>49</lpage>
<pub-id pub-id-type="other">2-s2.0-74249122809</pub-id>
<pub-id pub-id-type="pmid">19935766</pub-id>
</element-citation>
</ref>
<ref id="B39">
<label>39</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Averill</surname>
<given-names>MM</given-names>
</name>
<name>
<surname>Kerkhoff</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Bornfeldt</surname>
<given-names>KE</given-names>
</name>
</person-group>
<article-title>S100A8 and S100A9 in cardiovascular biology and disease</article-title>
<source>
<italic>Arteriosclerosis, Thrombosis, and Vascular Biology</italic>
</source>
<year>2012</year>
<volume>32</volume>
<issue>2</issue>
<fpage>223</fpage>
<lpage>229</lpage>
<pub-id pub-id-type="other">2-s2.0-84856221728</pub-id>
</element-citation>
</ref>
<ref id="B40">
<label>40</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gebhardt</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Németh</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Angel</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Hess</surname>
<given-names>J</given-names>
</name>
</person-group>
<article-title>S100A8 and S100A9 in inflammation and cancer</article-title>
<source>
<italic>Biochemical Pharmacology</italic>
</source>
<year>2006</year>
<volume>72</volume>
<issue>11</issue>
<fpage>1622</fpage>
<lpage>1631</lpage>
<pub-id pub-id-type="other">2-s2.0-33750505883</pub-id>
<pub-id pub-id-type="pmid">16846592</pub-id>
</element-citation>
</ref>
<ref id="B41">
<label>41</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Srikrishna</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>S100A8 and S100A9: new insights into their roles in malignancy</article-title>
<source>
<italic>Journal of Innate Immunity</italic>
</source>
<year>2011</year>
<volume>4</volume>
<issue>1</issue>
<fpage>31</fpage>
<lpage>40</lpage>
<pub-id pub-id-type="other">2-s2.0-83555164774</pub-id>
<pub-id pub-id-type="pmid">21912088</pub-id>
</element-citation>
</ref>
<ref id="B42">
<label>42</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stragier</surname>
<given-names>E</given-names>
</name>
<name>
<surname>van Assche</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>The use of fecal calprotectin and lactoferrin in patients with IBD: review</article-title>
<source>
<italic>Acta Gastro-Enterologica Belgica</italic>
</source>
<year>2013</year>
<volume>76</volume>
<issue>3</issue>
<fpage>322</fpage>
<lpage>328</lpage>
<pub-id pub-id-type="pmid">24261027</pub-id>
</element-citation>
</ref>
<ref id="B43">
<label>43</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vogl</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Gharibyan</surname>
<given-names>AL</given-names>
</name>
<name>
<surname>Morozova-Roche</surname>
<given-names>LA</given-names>
</name>
</person-group>
<article-title>Pro-inflammatory S100A8 and S100A9 proteins: self-assembly into multifunctional native and amyloid complexes</article-title>
<source>
<italic>International Journal of Molecular Sciences</italic>
</source>
<year>2012</year>
<volume>13</volume>
<issue>3</issue>
<fpage>2893</fpage>
<lpage>2917</lpage>
<pub-id pub-id-type="other">2-s2.0-84858976137</pub-id>
<pub-id pub-id-type="pmid">22489132</pub-id>
</element-citation>
</ref>
<ref id="B44">
<label>44</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Soehnlein</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Lindbom</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Weber</surname>
<given-names>C</given-names>
</name>
</person-group>
<article-title>Mechanisms underlying neutrophil-mediated monocyte recruitment</article-title>
<source>
<italic>Blood</italic>
</source>
<year>2009</year>
<volume>114</volume>
<issue>21</issue>
<fpage>4613</fpage>
<lpage>4623</lpage>
<pub-id pub-id-type="other">2-s2.0-73949096361</pub-id>
<pub-id pub-id-type="pmid">19696199</pub-id>
</element-citation>
</ref>
<ref id="B45">
<label>45</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sorsa</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Tjäderhane</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Salo</surname>
<given-names>T</given-names>
</name>
</person-group>
<article-title>Matrix metalloproteinases (MMPs) in oral diseases</article-title>
<source>
<italic>Oral Diseases</italic>
</source>
<year>2004</year>
<volume>10</volume>
<issue>6</issue>
<fpage>311</fpage>
<lpage>318</lpage>
<pub-id pub-id-type="other">2-s2.0-9444232274</pub-id>
<pub-id pub-id-type="pmid">15533204</pub-id>
</element-citation>
</ref>
<ref id="B46">
<label>46</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sorsa</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Tjäderhane</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Konttinen</surname>
<given-names>YT</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Matrix metalloproteinases: contribution to pathogenesis, diagnosis and treatment of periodontal inflammation</article-title>
<source>
<italic>Annals of Medicine</italic>
</source>
<year>2006</year>
<volume>38</volume>
<issue>5</issue>
<fpage>306</fpage>
<lpage>321</lpage>
<pub-id pub-id-type="other">2-s2.0-33748638853</pub-id>
<pub-id pub-id-type="pmid">16938801</pub-id>
</element-citation>
</ref>
<ref id="B47">
<label>47</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Parks</surname>
<given-names>WC</given-names>
</name>
<name>
<surname>Wilson</surname>
<given-names>CL</given-names>
</name>
<name>
<surname>López-Boado</surname>
<given-names>YS</given-names>
</name>
</person-group>
<article-title>Matrix metalloproteinases as modulators of inflammation and innate immunity</article-title>
<source>
<italic>Nature Reviews Immunology</italic>
</source>
<year>2004</year>
<volume>4</volume>
<issue>8</issue>
<fpage>617</fpage>
<lpage>629</lpage>
<pub-id pub-id-type="other">2-s2.0-3543134126</pub-id>
</element-citation>
</ref>
<ref id="B48">
<label>48</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Xiao</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>L</given-names>
</name>
</person-group>
<article-title>Matrix metalloproteinases: inflammatory regulators of cell behaviors in vascular formation and remodeling</article-title>
<source>
<italic>Mediators of Inflammation</italic>
</source>
<year>2013</year>
<volume>2013</volume>
<fpage>14 pages</fpage>
<pub-id pub-id-type="other">2-s2.0-84880174251</pub-id>
<pub-id pub-id-type="publisher-id">928315</pub-id>
</element-citation>
</ref>
<ref id="B49">
<label>49</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vilen</surname>
<given-names>S-T</given-names>
</name>
<name>
<surname>Salo</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Sorsa</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Nyberg</surname>
<given-names>P</given-names>
</name>
</person-group>
<article-title>Fluctuating roles of matrix metalloproteinase-9 in oral squamous cell carcinoma</article-title>
<source>
<italic>The Scientific World Journal</italic>
</source>
<year>2013</year>
<volume>2013</volume>
<fpage>11 pages</fpage>
<pub-id pub-id-type="other">2-s2.0-84873347146</pub-id>
<pub-id pub-id-type="publisher-id">920595</pub-id>
</element-citation>
</ref>
<ref id="B50">
<label>50</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>McCluskey</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Fujii</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Wahl</surname>
<given-names>LM</given-names>
</name>
</person-group>
<article-title>Differential regulation of monocyte matrix metalloproteinase and TIMP-1 production by TNF-
<italic>α</italic>
, granulocyte-macrophage CSF, and IL-1
<italic>β</italic>
through prostaglandin-dependent and -independent mechanisms</article-title>
<source>
<italic>Journal of Immunology</italic>
</source>
<year>1998</year>
<volume>161</volume>
<issue>6</issue>
<fpage>3071</fpage>
<lpage>3076</lpage>
<pub-id pub-id-type="other">2-s2.0-0032530673</pub-id>
</element-citation>
</ref>
<ref id="B51">
<label>51</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harkness</surname>
<given-names>KAC</given-names>
</name>
<name>
<surname>Adamson</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Sussman</surname>
<given-names>JD</given-names>
</name>
<name>
<surname>Davies-Jones</surname>
<given-names>GAB</given-names>
</name>
<name>
<surname>Greenwood</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Woodroofe</surname>
<given-names>MN</given-names>
</name>
</person-group>
<article-title>Dexamethasone regulation of matrix metalloproteinase expression in CNS vascular endothelium</article-title>
<source>
<italic>Brain</italic>
</source>
<year>2000</year>
<volume>123</volume>
<issue>4</issue>
<fpage>698</fpage>
<lpage>709</lpage>
<pub-id pub-id-type="other">2-s2.0-0034121588</pub-id>
<pub-id pub-id-type="pmid">10734001</pub-id>
</element-citation>
</ref>
<ref id="B52">
<label>52</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hajishengallis</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>Immunomicrobial pathogenesis of periodontitis: keystones, pathobionts, and host response</article-title>
<source>
<italic>Trends in Immunology</italic>
</source>
<year>2014</year>
<volume>35</volume>
<issue>1</issue>
<fpage>3</fpage>
<lpage>11</lpage>
<pub-id pub-id-type="pmid">24269668</pub-id>
</element-citation>
</ref>
<ref id="B53">
<label>53</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lominadze</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Powell</surname>
<given-names>DW</given-names>
</name>
<name>
<surname>Luerman</surname>
<given-names>GC</given-names>
</name>
<name>
<surname>Link</surname>
<given-names>AJ</given-names>
</name>
<name>
<surname>Ward</surname>
<given-names>RA</given-names>
</name>
<name>
<surname>McLeish</surname>
<given-names>KR</given-names>
</name>
</person-group>
<article-title>Proteomic analysis of human neutrophil granules</article-title>
<source>
<italic>Molecular and Cellular Proteomics</italic>
</source>
<year>2005</year>
<volume>4</volume>
<issue>10</issue>
<fpage>1503</fpage>
<lpage>1521</lpage>
<pub-id pub-id-type="other">2-s2.0-27644508638</pub-id>
<pub-id pub-id-type="pmid">15985654</pub-id>
</element-citation>
</ref>
<ref id="B54">
<label>54</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chakraborty</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Kaur</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Guha</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Batra</surname>
<given-names>SK</given-names>
</name>
</person-group>
<article-title>The multifaceted roles of neutrophil gelatinase associated lipocalin (NGAL) in inflammation and cancer</article-title>
<source>
<italic>Biochimica et Biophysica Acta: Reviews on Cancer</italic>
</source>
<year>2012</year>
<volume>1826</volume>
<issue>1</issue>
<fpage>129</fpage>
<lpage>169</lpage>
<pub-id pub-id-type="other">2-s2.0-84860222365</pub-id>
</element-citation>
</ref>
<ref id="B55">
<label>55</label>
<element-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Chakraborty</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Kaur</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Tong</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Batra</surname>
<given-names>SK</given-names>
</name>
<name>
<surname>Guha</surname>
<given-names>S</given-names>
</name>
</person-group>
<person-group person-group-type="editor">
<name>
<surname>Veas</surname>
<given-names>F</given-names>
</name>
</person-group>
<article-title>Neutrophil gelatinase associated lipocalin: structure, function and role in human pathogenesis</article-title>
<source>
<italic>Acute Phase Proteins—Regulation and Functions of Acute Phase Proteins</italic>
</source>
<year>2011</year>
<publisher-name>InTech</publisher-name>
</element-citation>
</ref>
<ref id="B56">
<label>56</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nagaoka</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Suzuki</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Murakami</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Niyonsaba</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Tamura</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Hirata</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Evaluation of the effect of
<italic>α</italic>
-defensin human neutrophil peptides on neutrophil apoptosis</article-title>
<source>
<italic>International Journal of Molecular Medicine</italic>
</source>
<year>2010</year>
<volume>26</volume>
<issue>6</issue>
<fpage>925</fpage>
<lpage>934</lpage>
<pub-id pub-id-type="other">2-s2.0-78649970956</pub-id>
<pub-id pub-id-type="pmid">21042789</pub-id>
</element-citation>
</ref>
<ref id="B57">
<label>57</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gursoy</surname>
<given-names>UK</given-names>
</name>
<name>
<surname>Könönen</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Luukkonen</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Uitto</surname>
<given-names>V-J</given-names>
</name>
</person-group>
<article-title>Human neutrophil defensins and their effect on epithelial cells</article-title>
<source>
<italic>Journal of Periodontology</italic>
</source>
<year>2013</year>
<volume>84</volume>
<issue>1</issue>
<fpage>126</fpage>
<lpage>133</lpage>
<pub-id pub-id-type="other">2-s2.0-84872019672</pub-id>
<pub-id pub-id-type="pmid">22443519</pub-id>
</element-citation>
</ref>
<ref id="B58">
<label>58</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Côté</surname>
<given-names>MC</given-names>
</name>
<name>
<surname>Lavoie</surname>
<given-names>JR</given-names>
</name>
<name>
<surname>Houle</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Poirier</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Rousseau</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Huot</surname>
<given-names>J</given-names>
</name>
</person-group>
<article-title>Regulation of vascular endothelial growth factor-induced endothelial cell migration by LIM kinase 1-mediated phosphorylation of annexin 1</article-title>
<source>
<italic>Journal of Biological Chemistry</italic>
</source>
<year>2010</year>
<volume>285</volume>
<issue>11</issue>
<fpage>8013</fpage>
<lpage>8021</lpage>
<pub-id pub-id-type="other">2-s2.0-77950913786</pub-id>
<pub-id pub-id-type="pmid">20061392</pub-id>
</element-citation>
</ref>
<ref id="B59">
<label>59</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gavins</surname>
<given-names>FNE</given-names>
</name>
<name>
<surname>Hickey</surname>
<given-names>MJ</given-names>
</name>
</person-group>
<article-title>Annexin A1 and the regulation of innate and adaptive immunity</article-title>
<source>
<italic>Frontiers in Immunology</italic>
</source>
<year>2012</year>
<volume>3</volume>
<pub-id pub-id-type="other">2-s2.0-84874215363</pub-id>
<pub-id pub-id-type="publisher-id">Article 354</pub-id>
</element-citation>
</ref>
<ref id="B60">
<label>60</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Ma</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Malik</surname>
<given-names>AB</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Bidirectional regulation of neutrophil migration by mitogen-activated protein kinases</article-title>
<source>
<italic>Nature Immunology</italic>
</source>
<year>2012</year>
<volume>13</volume>
<issue>5</issue>
<fpage>457</fpage>
<lpage>464</lpage>
<pub-id pub-id-type="other">2-s2.0-84862785325</pub-id>
<pub-id pub-id-type="pmid">22447027</pub-id>
</element-citation>
</ref>
<ref id="B61">
<label>61</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Hutchinson</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Morand</surname>
<given-names>EF</given-names>
</name>
</person-group>
<article-title>Inhibitory effect of annexin I on synovial inflammation in rat adjuvant arthritis</article-title>
<source>
<italic>Arthritis & Rheumatology</italic>
</source>
<year>1999</year>
<volume>42</volume>
<issue>7</issue>
<fpage>1538</fpage>
<lpage>1544</lpage>
</element-citation>
</ref>
<ref id="B62">
<label>62</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Damazo</surname>
<given-names>AS</given-names>
</name>
<name>
<surname>Yona</surname>
<given-names>S</given-names>
</name>
<name>
<surname>D’Acquisto</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Flower</surname>
<given-names>RJ</given-names>
</name>
<name>
<surname>Oliani</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Perretti</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Critical protective role for annexin 1 gene expression in the endotoxemic murine microcirculation</article-title>
<source>
<italic>The American Journal of Pathology</italic>
</source>
<year>2005</year>
<volume>166</volume>
<issue>6</issue>
<fpage>1607</fpage>
<lpage>1617</lpage>
<pub-id pub-id-type="other">2-s2.0-19544374896</pub-id>
<pub-id pub-id-type="pmid">15920146</pub-id>
</element-citation>
</ref>
<ref id="B63">
<label>63</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ozmeric</surname>
<given-names>N</given-names>
</name>
</person-group>
<article-title>Advances in periodontal disease markers</article-title>
<source>
<italic>Clinica Chimica Acta</italic>
</source>
<year>2004</year>
<volume>343</volume>
<issue>1-2</issue>
<fpage>1</fpage>
<lpage>16</lpage>
<pub-id pub-id-type="other">2-s2.0-2042469489</pub-id>
</element-citation>
</ref>
<ref id="B64">
<label>64</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shinomiya</surname>
<given-names>H</given-names>
</name>
</person-group>
<article-title>Plastin family of actin-bundling proteins: its functions in leukocytes, neurons, intestines, and cancer</article-title>
<source>
<italic>International Journal of Cell Biology</italic>
</source>
<year>2012</year>
<volume>2012</volume>
<fpage>8 pages</fpage>
<pub-id pub-id-type="other">2-s2.0-84856414146</pub-id>
<pub-id pub-id-type="publisher-id">213492</pub-id>
</element-citation>
</ref>
<ref id="B65">
<label>65</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ning</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Gerger</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>W</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Plastin polymorphisms predict gender- and stage-specific colon cancer recurrence after adjuvant chemotherapy</article-title>
<source>
<italic>Molecular Cancer Therapeutics</italic>
</source>
<year>2014</year>
<volume>13</volume>
<issue>2</issue>
<fpage>528</fpage>
<lpage>539</lpage>
<pub-id pub-id-type="pmid">24170770</pub-id>
</element-citation>
</ref>
<ref id="B66">
<label>66</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Freeley</surname>
<given-names>M</given-names>
</name>
<name>
<surname>O’Dowd</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Paul</surname>
<given-names>T</given-names>
</name>
<etal></etal>
</person-group>
<article-title>L-plastin regulates polarization and migration in chemokine-stimulated human T lymphocytes</article-title>
<source>
<italic>Journal of Immunology</italic>
</source>
<year>2012</year>
<volume>188</volume>
<issue>12</issue>
<fpage>6357</fpage>
<lpage>6370</lpage>
<pub-id pub-id-type="other">2-s2.0-84862619185</pub-id>
</element-citation>
</ref>
<ref id="B67">
<label>67</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chakravarti</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Raquil</surname>
<given-names>M-A</given-names>
</name>
<name>
<surname>Tessier</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Poubelle</surname>
<given-names>PE</given-names>
</name>
</person-group>
<article-title>Surface RANKL of Toll-like receptor 4-stimulated human neutrophils activates osteoclastic bone resorption</article-title>
<source>
<italic>Blood</italic>
</source>
<year>2009</year>
<volume>114</volume>
<issue>8</issue>
<fpage>1633</fpage>
<lpage>1644</lpage>
<pub-id pub-id-type="other">2-s2.0-70349565586</pub-id>
<pub-id pub-id-type="pmid">19546479</pub-id>
</element-citation>
</ref>
<ref id="B68">
<label>68</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kajiya</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Giro</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Taubman</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Mayer</surname>
<given-names>MPA</given-names>
</name>
<name>
<surname>Kawai</surname>
<given-names>T</given-names>
</name>
</person-group>
<article-title>Role of periodontal pathogenic bacteria in RANKL-mediated bone destruction in periodontal disease</article-title>
<source>
<italic>Journal of Oral Microbiology</italic>
</source>
<year>2010</year>
<volume>2</volume>
<issue>2010, article 5532</issue>
<pub-id pub-id-type="other">2-s2.0-80755152588</pub-id>
</element-citation>
</ref>
<ref id="B69">
<label>69</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Belibasakis</surname>
<given-names>GN</given-names>
</name>
<name>
<surname>Bostanci</surname>
<given-names>N</given-names>
</name>
</person-group>
<article-title>The RANKL-OPG system in clinical periodontology</article-title>
<source>
<italic>Journal of Clinical Periodontology</italic>
</source>
<year>2012</year>
<volume>39</volume>
<issue>3</issue>
<fpage>239</fpage>
<lpage>248</lpage>
<pub-id pub-id-type="other">2-s2.0-84856591543</pub-id>
<pub-id pub-id-type="pmid">22092994</pub-id>
</element-citation>
</ref>
<ref id="B70">
<label>70</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Minami</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Uede</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Sagawa</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Kimura</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Tsuji</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Furukawa</surname>
<given-names>F</given-names>
</name>
</person-group>
<article-title>Immunohistochemical staining of cutaneous tumours with G-81, a monoclonal antibody to dermcidin</article-title>
<source>
<italic>The British Journal of Dermatology</italic>
</source>
<year>2004</year>
<volume>151</volume>
<issue>1</issue>
<fpage>165</fpage>
<lpage>169</lpage>
<pub-id pub-id-type="other">2-s2.0-4043119711</pub-id>
<pub-id pub-id-type="pmid">15270886</pub-id>
</element-citation>
</ref>
<ref id="B71">
<label>71</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rieg</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Garbe</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Sauer</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Kalbacher</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Schittek</surname>
<given-names>B</given-names>
</name>
</person-group>
<article-title>Dermcidin is constitutively produced by eccrine sweat glands and is not induced in epidermal cells under inflammatory skin conditions</article-title>
<source>
<italic>The British Journal of Dermatology</italic>
</source>
<year>2004</year>
<volume>151</volume>
<issue>3</issue>
<fpage>534</fpage>
<lpage>539</lpage>
<pub-id pub-id-type="other">2-s2.0-4944263392</pub-id>
<pub-id pub-id-type="pmid">15377337</pub-id>
</element-citation>
</ref>
<ref id="B72">
<label>72</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Koorts</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Levay</surname>
<given-names>PF</given-names>
</name>
<name>
<surname>Becker</surname>
<given-names>PJ</given-names>
</name>
<name>
<surname>Viljoen</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Pro- and anti-inflammatory cytokines during immune stimulation: modulation of iron status and red blood cell profile</article-title>
<source>
<italic>Mediators of Inflammation</italic>
</source>
<year>2011</year>
<volume>2011</volume>
<fpage>11 pages</fpage>
<pub-id pub-id-type="other">2-s2.0-79956304247</pub-id>
<pub-id pub-id-type="publisher-id">716301</pub-id>
</element-citation>
</ref>
<ref id="B73">
<label>73</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Zhong</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Xie</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>The role of profilin-1 in endothelial cell injury induced by advanced glycation end products (AGEs)</article-title>
<source>
<italic>Cardiovascular Diabetology</italic>
</source>
<year>2013</year>
<volume>12</volume>
<issue>article 141</issue>
</element-citation>
</ref>
<ref id="B74">
<label>74</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>McLaughlin</surname>
<given-names>WS</given-names>
</name>
</person-group>
<article-title>Human gingival crevicular fluid keratin at healthy, chronic gingivitis and chronic adult periodontitis sites</article-title>
<source>
<italic>Journal of Clinical Periodontology</italic>
</source>
<year>1996</year>
<volume>23</volume>
<issue>4</issue>
<fpage>331</fpage>
<lpage>335</lpage>
<pub-id pub-id-type="other">2-s2.0-0030113648</pub-id>
<pub-id pub-id-type="pmid">8739164</pub-id>
</element-citation>
</ref>
<ref id="B75">
<label>75</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Belibasakis</surname>
<given-names>GN</given-names>
</name>
</person-group>
<article-title>Microbiological and immuno-pathological aspects of peri-implant diseases</article-title>
<source>
<italic>Archives of Oral Biology</italic>
</source>
<year>2014</year>
<volume>59</volume>
<issue>1</issue>
<fpage>66</fpage>
<lpage>72</lpage>
<pub-id pub-id-type="pmid">24209597</pub-id>
</element-citation>
</ref>
<ref id="B76">
<label>76</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Johnson</surname>
<given-names>KA</given-names>
</name>
<name>
<surname>Hessle</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Vaingankar</surname>
<given-names>S</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Osteoblast tissue-nonspecific alkaline phosphatase antagonizes and regulates PC-1</article-title>
<source>
<italic>The American Journal of Physiology: Regulatory Integrative and Comparative Physiology</italic>
</source>
<year>2000</year>
<volume>279</volume>
<issue>4</issue>
<fpage>R1365</fpage>
<lpage>R1377</lpage>
<pub-id pub-id-type="other">2-s2.0-0033695669</pub-id>
</element-citation>
</ref>
<ref id="B77">
<label>77</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Orimo</surname>
<given-names>H</given-names>
</name>
</person-group>
<article-title>The mechanism of mineralization and the role of alkaline phosphatase in health and disease</article-title>
<source>
<italic>Journal of Nippon Medical School</italic>
</source>
<year>2010</year>
<volume>77</volume>
<issue>1</issue>
<fpage>4</fpage>
<lpage>12</lpage>
<pub-id pub-id-type="other">2-s2.0-76249113874</pub-id>
<pub-id pub-id-type="pmid">20154452</pub-id>
</element-citation>
</ref>
<ref id="B78">
<label>78</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Udristioiu</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Iliescu</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Cojocaru</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Joanta</surname>
<given-names>A</given-names>
</name>
</person-group>
<article-title>Alkaline phosphatase isoenzymes and leukocyte alkaline phosphatase score in patients with acute and chronic disease: a brief review</article-title>
<source>
<italic>The British Journal of Medicine and Medical Research</italic>
</source>
<year>2014</year>
<volume>4</volume>
<issue>1</issue>
<fpage>340</fpage>
<lpage>350</lpage>
</element-citation>
</ref>
<ref id="B79">
<label>79</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cafiero</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Matarasso</surname>
<given-names>S</given-names>
</name>
</person-group>
<article-title>Predictive, preventive, personalised and participatory periodontology: “the 5Ps age” has already started</article-title>
<source>
<italic>EPMA Journal</italic>
</source>
<year>2013</year>
<volume>4</volume>
<issue>1, article 16</issue>
</element-citation>
</ref>
<ref id="B80">
<label>80</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>McCauley</surname>
<given-names>LK</given-names>
</name>
<name>
<surname>Nohutcu</surname>
<given-names>RM</given-names>
</name>
</person-group>
<article-title>Mediators of periodontal osseous destruction and remodeling: principles and implications for diagnosis and therapy</article-title>
<source>
<italic>Journal of Periodontology</italic>
</source>
<year>2002</year>
<volume>73</volume>
<issue>11</issue>
<fpage>1377</fpage>
<lpage>1391</lpage>
<pub-id pub-id-type="other">2-s2.0-0036867381</pub-id>
<pub-id pub-id-type="pmid">12479643</pub-id>
</element-citation>
</ref>
<ref id="B81">
<label>81</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Taba</surname>
<given-names>M</given-names>
<suffix>Jr.</suffix>
</name>
<name>
<surname>Kinney</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>AS</given-names>
</name>
<name>
<surname>Giannobile</surname>
<given-names>WV</given-names>
</name>
</person-group>
<article-title>Diagnostic biomarkers for oral and periodontal diseases</article-title>
<source>
<italic>Dental Clinics of North America</italic>
</source>
<year>2005</year>
<volume>49</volume>
<issue>3</issue>
<fpage>551</fpage>
<lpage>571</lpage>
<pub-id pub-id-type="other">2-s2.0-20644458337</pub-id>
<pub-id pub-id-type="pmid">15978241</pub-id>
</element-citation>
</ref>
<ref id="B82">
<label>82</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pike</surname>
<given-names>AF</given-names>
</name>
<name>
<surname>Kramer</surname>
<given-names>NI</given-names>
</name>
<name>
<surname>Blaauboer</surname>
<given-names>BJ</given-names>
</name>
<name>
<surname>Seinen</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Brands</surname>
<given-names>R</given-names>
</name>
</person-group>
<article-title>A novel hypothesis for an alkaline phosphatase ’rescue’ mechanism in the hepatic acute phase immune response</article-title>
<source>
<italic>Biochimica et Biophysica Acta: Molecular Basis of Disease</italic>
</source>
<year>2013</year>
<volume>1832</volume>
<issue>12</issue>
<fpage>2044</fpage>
<lpage>2056</lpage>
<pub-id pub-id-type="other">2-s2.0-84882799443</pub-id>
</element-citation>
</ref>
<ref id="B83">
<label>83</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tester</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Cox</surname>
<given-names>JH</given-names>
</name>
<name>
<surname>Connor</surname>
<given-names>AR</given-names>
</name>
<etal></etal>
</person-group>
<article-title>LPS responsiveness and neutrophil chemotaxis in vivo require PMN MMP-8 activity</article-title>
<source>
<italic>PLoS ONE</italic>
</source>
<year>2007</year>
<volume>2</volume>
<issue>3, article e312</issue>
<pub-id pub-id-type="other">2-s2.0-37249059121</pub-id>
</element-citation>
</ref>
<ref id="B84">
<label>84</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Thirkettle</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Decock</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Arnold</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Pennington</surname>
<given-names>CJ</given-names>
</name>
<name>
<surname>Jaworski</surname>
<given-names>DM</given-names>
</name>
<name>
<surname>Edwards</surname>
<given-names>DR</given-names>
</name>
</person-group>
<article-title>Matrix metalloproteinase 8 (collagenase 2) induces the expression of interleukins 6 and 8 in breast cancer cells</article-title>
<source>
<italic>Journal of Biological Chemistry</italic>
</source>
<year>2013</year>
<volume>288</volume>
<issue>23</issue>
<fpage>16282</fpage>
<lpage>16294</lpage>
<pub-id pub-id-type="other">2-s2.0-84878759168</pub-id>
<pub-id pub-id-type="pmid">23632023</pub-id>
</element-citation>
</ref>
<ref id="B85">
<label>85</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Benabid</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Wartelle</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Malleret</surname>
<given-names>L</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Neutrophil elastase modulates cytokine expression: contribution to host defense against pseudomonas aeruginosa-induced pneumonia</article-title>
<source>
<italic>Journal of Biological Chemistry</italic>
</source>
<year>2012</year>
<volume>287</volume>
<issue>42</issue>
<fpage>34883</fpage>
<lpage>34894</lpage>
<pub-id pub-id-type="other">2-s2.0-84867411373</pub-id>
<pub-id pub-id-type="pmid">22927440</pub-id>
</element-citation>
</ref>
<ref id="B86">
<label>86</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hirche</surname>
<given-names>TO</given-names>
</name>
<name>
<surname>Benabid</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Deslee</surname>
<given-names>G</given-names>
</name>
<etal></etal>
</person-group>
<article-title>Neutrophil elastase mediates innate host protection against Pseudomonas aeruginosa</article-title>
<source>
<italic>Journal of Immunology</italic>
</source>
<year>2008</year>
<volume>181</volume>
<issue>7</issue>
<fpage>4945</fpage>
<lpage>4954</lpage>
<pub-id pub-id-type="other">2-s2.0-58149306382</pub-id>
</element-citation>
</ref>
<ref id="B87">
<label>87</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>López-Boado</surname>
<given-names>YS</given-names>
</name>
<name>
<surname>Espinola</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Bahr</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Belaaouaj</surname>
<given-names>A</given-names>
</name>
</person-group>
<article-title>Neutrophil serine proteinases cleave bacterial flagellin, abrogating its host response-inducing activity</article-title>
<source>
<italic>Journal of Immunology</italic>
</source>
<year>2004</year>
<volume>172</volume>
<issue>1</issue>
<fpage>509</fpage>
<lpage>515</lpage>
<pub-id pub-id-type="other">2-s2.0-0346734183</pub-id>
</element-citation>
</ref>
<ref id="B88">
<label>88</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Weinrauch</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Drujan</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Shapiro</surname>
<given-names>SD</given-names>
</name>
<name>
<surname>Weiss</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Zychlinsky</surname>
<given-names>A</given-names>
</name>
</person-group>
<article-title>Neutrophil elastase targets virulence factors of enterobacteria</article-title>
<source>
<italic>Nature</italic>
</source>
<year>2002</year>
<volume>417</volume>
<issue>6884</issue>
<fpage>91</fpage>
<lpage>94</lpage>
<pub-id pub-id-type="other">2-s2.0-0037007656</pub-id>
<pub-id pub-id-type="pmid">12018205</pub-id>
</element-citation>
</ref>
<ref id="B89">
<label>89</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rehman</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Ahsan</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Khan</surname>
<given-names>FH</given-names>
</name>
</person-group>
<article-title>Alpha-2-macroglobulin: a physiological guardian</article-title>
<source>
<italic>Journal of Cellular Physiology</italic>
</source>
<year>2013</year>
<volume>228</volume>
<issue>8</issue>
<fpage>1665</fpage>
<lpage>1675</lpage>
<pub-id pub-id-type="other">2-s2.0-84876738471</pub-id>
<pub-id pub-id-type="pmid">23086799</pub-id>
</element-citation>
</ref>
<ref id="B90">
<label>90</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Territo</surname>
<given-names>MC</given-names>
</name>
<name>
<surname>Ganz</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Selsted</surname>
<given-names>ME</given-names>
</name>
<name>
<surname>Lehrer</surname>
<given-names>R</given-names>
</name>
</person-group>
<article-title>Monocyte-chemotactic activity of defensins from human neutrophils</article-title>
<source>
<italic>Journal of Clinical Investigation</italic>
</source>
<year>1989</year>
<volume>84</volume>
<issue>6</issue>
<fpage>2017</fpage>
<lpage>2020</lpage>
<pub-id pub-id-type="other">2-s2.0-0024797674</pub-id>
<pub-id pub-id-type="pmid">2592571</pub-id>
</element-citation>
</ref>
<ref id="B91">
<label>91</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Chertov</surname>
<given-names>O</given-names>
</name>
<name>
<surname>Oppenheim</surname>
<given-names>JJ</given-names>
</name>
</person-group>
<article-title>Human neutrophil defensins selectively chemoattract naive T and immature dendritic cells</article-title>
<source>
<italic>Journal of Leukocyte Biology</italic>
</source>
<year>2000</year>
<volume>68</volume>
<issue>1</issue>
<fpage>9</fpage>
<lpage>14</lpage>
<pub-id pub-id-type="other">2-s2.0-0033844287</pub-id>
<pub-id pub-id-type="pmid">10914484</pub-id>
</element-citation>
</ref>
</ref-list>
</back>
<floats-group>
<fig id="fig1" orientation="portrait" position="float">
<label>Figure 1</label>
<caption>
<p>Biomarkers selected by their quantification to characterize each PD variant. The cells which produce the different proteins are identified. For each protein, the consequences of the modification in the functional role, inducing their up- or downregulation, within the host inflammatory response, are suggested.</p>
</caption>
<graphic xlink:href="BMRI2014-569632.001"></graphic>
</fig>
<table-wrap id="tab1" orientation="portrait" position="float">
<label>Table 1</label>
<caption>
<p>Quantification of the biomarkers proposed for each disease variant of PD.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Periodontal disease</th>
<th align="center" rowspan="1" colspan="1">Proposed biomarker </th>
<th align="center" rowspan="1" colspan="1">Biomarker with quantification</th>
<th align="center" rowspan="1" colspan="1">Biomarker up/down</th>
<th align="center" rowspan="1" colspan="1">Exclusive biomarker </th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Aggressive periodontitis</td>
<td align="center" rowspan="1" colspan="1">7</td>
<td align="center" rowspan="1" colspan="1">7</td>
<td align="center" rowspan="1" colspan="1">0/0</td>
<td align="center" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Chronic periodontitis</td>
<td align="center" rowspan="1" colspan="1">37</td>
<td align="center" rowspan="1" colspan="1">34</td>
<td align="center" rowspan="1" colspan="1">2/5</td>
<td align="center" rowspan="1" colspan="1">7</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Gingivitis</td>
<td align="center" rowspan="1" colspan="1">9</td>
<td align="center" rowspan="1" colspan="1">7</td>
<td align="center" rowspan="1" colspan="1">0/0</td>
<td align="center" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Periimplantitis</td>
<td align="center" rowspan="1" colspan="1">3</td>
<td align="center" rowspan="1" colspan="1">3</td>
<td align="center" rowspan="1" colspan="1">1/0</td>
<td align="center" rowspan="1" colspan="1">1</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tab2" orientation="portrait" position="float">
<label>Table 2</label>
<caption>
<p>Information used for the functional analysis and critical appraisal of each protein suggested as biomarker.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Protein name</th>
<th align="center" rowspan="1" colspan="1">UniprotKB AC</th>
<th align="center" rowspan="1" colspan="1">Gene name (STRING) </th>
<th align="center" rowspan="1" colspan="1">Disease and
<underline>disease biomarker</underline>
</th>
<th align="center" rowspan="1" colspan="1">Quantification (fold change) </th>
<th align="center" rowspan="1" colspan="1">Saliva (OralCard) </th>
<th align="center" rowspan="1" colspan="1">CF (OralCard) </th>
<th align="center" rowspan="1" colspan="1">Mucosa (OralCard) </th>
<th align="center" rowspan="1" colspan="1">Saliva non-PD (OralCard) </th>
<th align="center" rowspan="1" colspan="1">Extracellular (GO CC) </th>
<th align="center" rowspan="1" colspan="1">Intracellular (GO CC) </th>
<th align="center" rowspan="1" colspan="1">Intracellular membrane bonded (GO CC) </th>
<th align="center" rowspan="1" colspan="1">Secretory granule (GO CC) </th>
<th align="center" rowspan="1" colspan="1">Endocytic vesicle (GO CC) </th>
<th align="center" rowspan="1" colspan="1">Immune system process (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Regulation of immune system process (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Innate immune response (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Response to bacterium (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Response to LPS (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Leucocyte migration (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Regulation of cytokine production (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Inflammatory response (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Regulation of inflammatory response (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Positive regulation of acute inflammatory response (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Response to interleukin 1 (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Enzyme inhibitor activity (GO MF) </th>
<th align="center" rowspan="1" colspan="1">Positive regulation of MAPK cascade (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Jak-Stat signaling (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Regulation of ERK1/2 cascade (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Adaptive response (GO BP) </th>
<th align="center" rowspan="1" colspan="1">T cell activation (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Osteoclastogenesis (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Coagulation/wounding (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Platelet activation (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Platelet degranulation (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Platelet-derived growth factor receptor binding (GO MF) </th>
<th align="center" rowspan="1" colspan="1">Angiogenic activity (GO BP) </th>
<th align="center" rowspan="1" colspan="1">Regulation of peptidase activity (GO MF) </th>
<th align="center" rowspan="1" colspan="1">Ras GTPase binding activity (GO MF) </th>
<th align="center" rowspan="1" colspan="1">Biomarker for other pathologies (OralCard) </th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">C-C motif chemokine ligand 13</td>
<td align="center" rowspan="1" colspan="1">Q99616</td>
<td align="center" rowspan="1" colspan="1">CCL13</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">4.97</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Thymidine phosphorylase</td>
<td align="center" rowspan="1" colspan="1">P19971</td>
<td align="center" rowspan="1" colspan="1">TYMP</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">−3.70</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">C-C motif chemokine 2</td>
<td align="center" rowspan="1" colspan="1">P13500</td>
<td align="center" rowspan="1" colspan="1">CCL2</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">1.90</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Fibronectin (FN)</td>
<td align="center" rowspan="1" colspan="1">P02751</td>
<td align="center" rowspan="1" colspan="1">FN1</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">1.84</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Angiotensinogen (serpin A8)</td>
<td align="center" rowspan="1" colspan="1">P01019</td>
<td align="center" rowspan="1" colspan="1">AGT</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Clusterin</td>
<td align="center" rowspan="1" colspan="1">P10909</td>
<td align="center" rowspan="1" colspan="1">CLU</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Prostaglandin G/H synthase 2 (COX-2)</td>
<td align="center" rowspan="1" colspan="1">P35354</td>
<td align="center" rowspan="1" colspan="1">PTGS2</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">0.00</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Oncostatin-M</td>
<td align="center" rowspan="1" colspan="1">P13725</td>
<td align="center" rowspan="1" colspan="1">OSM</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
<underline>G</underline>
</td>
<td align="center" rowspan="1" colspan="1">726.0
<break></break>
128.0</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">C-C motif chemokine 3</td>
<td align="center" rowspan="1" colspan="1">P10147</td>
<td align="center" rowspan="1" colspan="1">CCL3</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
PI</td>
<td align="center" rowspan="1" colspan="1">18.00
<break></break>
+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Protein S100-A9</td>
<td align="center" rowspan="1" colspan="1">P06702</td>
<td align="center" rowspan="1" colspan="1">S100A9</td>
<td align="center" rowspan="1" colspan="1">PA 
<break></break>
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">−1.40
<break></break>
10.41
<break></break>
−1.75</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Protein S100-A8</td>
<td align="center" rowspan="1" colspan="1">P05109</td>
<td align="center" rowspan="1" colspan="1">S100A8</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">3.07
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Azurocidin</td>
<td align="center" rowspan="1" colspan="1">P20160</td>
<td align="center" rowspan="1" colspan="1">AZU1</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
<underline>G</underline>
</td>
<td align="center" rowspan="1" colspan="1">6.15
<break></break>
3.35</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Matrix metalloproteinase-9</td>
<td align="center" rowspan="1" colspan="1">P14780</td>
<td align="center" rowspan="1" colspan="1">MMP9</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G  
<break></break>
PI</td>
<td align="center" rowspan="1" colspan="1">3.54
<break></break>
0.00
<break></break>
+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Prolactin-inducible protein</td>
<td align="center" rowspan="1" colspan="1">P12273</td>
<td align="center" rowspan="1" colspan="1">PIP</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">−2.55
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Superoxide dismutase</td>
<td align="center" rowspan="1" colspan="1">P00441</td>
<td align="center" rowspan="1" colspan="1">SOD1</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">0.00
<break></break>
1.85</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lactotransferrin</td>
<td align="center" rowspan="1" colspan="1">P02788</td>
<td align="center" rowspan="1" colspan="1">LTF</td>
<td align="center" rowspan="1" colspan="1">
<underline>PA</underline>
  
<break></break>
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">0.60
<break></break>
1.94</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Peptidyl-prolyl cis-trans isomerase A</td>
<td align="center" rowspan="1" colspan="1">P62937</td>
<td align="center" rowspan="1" colspan="1">PPIA</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">1.73
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Apolipoprotein A-I</td>
<td align="center" rowspan="1" colspan="1">P02647</td>
<td align="center" rowspan="1" colspan="1">APOA1</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">1.56
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Cystatin-SN</td>
<td align="center" rowspan="1" colspan="1">P01037</td>
<td align="center" rowspan="1" colspan="1">CST1</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">−1.47
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Mucin 5B</td>
<td align="center" rowspan="1" colspan="1">Q9HC84</td>
<td align="center" rowspan="1" colspan="1">MUC5B</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">1.01
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Cystatin-S</td>
<td align="center" rowspan="1" colspan="1">P01036</td>
<td align="center" rowspan="1" colspan="1">CST4</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">−0.10
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Hemoglobin subunit delta</td>
<td align="center" rowspan="1" colspan="1">P02042</td>
<td align="center" rowspan="1" colspan="1">HBD</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">158.2
<break></break>
30.87
<break></break>
11.00</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">RANKL</td>
<td align="center" rowspan="1" colspan="1">O14788</td>
<td align="center" rowspan="1" colspan="1">TNFSF11</td>
<td align="center" rowspan="1" colspan="1">
<underline>PA</underline>
  
<break></break>
<underline>PC</underline>
  
<break></break>
<underline>G</underline>
  
<break></break>
PI</td>
<td align="center" rowspan="1" colspan="1">56.99
<break></break>
16.09
<break></break>
1.32
<break></break>
12.89</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Osteoprotegerin</td>
<td align="center" rowspan="1" colspan="1">O00300</td>
<td align="center" rowspan="1" colspan="1">TNFRSF11B</td>
<td align="center" rowspan="1" colspan="1">
<underline>PA</underline>
  
<break></break>
<underline>PC</underline>
  
<break></break>
<underline>G</underline>
  
<break></break>
PI</td>
<td align="center" rowspan="1" colspan="1">−4.00
<break></break>
−2.28
<break></break>
−2.44
<break></break>
−0.71</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Neutrophil gelatinase-associated lipocalin</td>
<td align="center" rowspan="1" colspan="1">P80188</td>
<td align="center" rowspan="1" colspan="1">LCN2</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">18.90
<break></break>
1.77</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Plastin-2</td>
<td align="center" rowspan="1" colspan="1">P13796</td>
<td align="center" rowspan="1" colspan="1">LCP1</td>
<td align="center" rowspan="1" colspan="1">
<underline>PA</underline>
  
<break></break>
<underline>PC</underline>
  
<break></break>
<underline>G</underline>
</td>
<td align="center" rowspan="1" colspan="1">15.60
<break></break>
4.93
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Neutrophil defensin 1</td>
<td align="center" rowspan="1" colspan="1">P59665</td>
<td align="center" rowspan="1" colspan="1">DEFA1</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">−14.8
<break></break>
4.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+ </td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Serotransferrin</td>
<td align="center" rowspan="1" colspan="1">P02787</td>
<td align="center" rowspan="1" colspan="1">TF</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
  
<break></break>
<underline>G</underline>
</td>
<td align="center" rowspan="1" colspan="1">−10.4
<break></break>
1.56
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Lysozyme C</td>
<td align="center" rowspan="1" colspan="1">P61626</td>
<td align="center" rowspan="1" colspan="1">LYZ</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">−9.10
<break></break>
1.99
<break></break>
−1.41</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Annexin A1</td>
<td align="center" rowspan="1" colspan="1">P04083</td>
<td align="center" rowspan="1" colspan="1">ANXA1</td>
<td align="center" rowspan="1" colspan="1">
<underline>PA</underline>
  
<break></break>
PC  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">−8.10
<break></break>
1.46
<break></break>
−1.43</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Profilin-1</td>
<td align="center" rowspan="1" colspan="1">P07737</td>
<td align="center" rowspan="1" colspan="1">PFN1</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">4.50
<break></break>
2.51
<break></break>
2.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ig alpha-1 chain C region</td>
<td align="center" rowspan="1" colspan="1">P01876</td>
<td align="center" rowspan="1" colspan="1">IGHA1</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">−4.70
<break></break>
1.67
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ig gamma-2 chain C region</td>
<td align="center" rowspan="1" colspan="1">P01859</td>
<td align="center" rowspan="1" colspan="1">IGHG2</td>
<td align="center" rowspan="1" colspan="1">
<underline>PA</underline>
  
<break></break>
PC</td>
<td align="center" rowspan="1" colspan="1">3.55
<break></break>
1.88</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ig alpha-2 chain C region</td>
<td align="center" rowspan="1" colspan="1">P01877</td>
<td align="center" rowspan="1" colspan="1">IGHA2</td>
<td align="center" rowspan="1" colspan="1">
<underline>PA</underline>
  
<break></break>
PC</td>
<td align="center" rowspan="1" colspan="1">3.10
<break></break>
−1.19</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Dermcidin</td>
<td align="center" rowspan="1" colspan="1">P81605</td>
<td align="center" rowspan="1" colspan="1">DCD</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
  
<break></break>
G</td>
<td align="center" rowspan="1" colspan="1">−2.80
<break></break>
1.39
<break></break>
0.00</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Keratin, type II cytoskeletal 1</td>
<td align="center" rowspan="1" colspan="1">P04264</td>
<td align="center" rowspan="1" colspan="1">KRT1</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
  
<break></break>
<underline>G</underline>
</td>
<td align="center" rowspan="1" colspan="1">−44.3
<break></break>
34.9
<break></break>
−1.45</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Keratin, type II cytoskeletal 2 oral</td>
<td align="center" rowspan="1" colspan="1">Q01546</td>
<td align="center" rowspan="1" colspan="1">KRT76</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
PC  
<break></break>
<underline>G</underline>
</td>
<td align="center" rowspan="1" colspan="1">−6.4
<break></break>
5.18
<break></break>
−1.79</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Complement C3</td>
<td align="center" rowspan="1" colspan="1">P01024</td>
<td align="center" rowspan="1" colspan="1">C3</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
</td>
<td align="center" rowspan="1" colspan="1">−1.30
<break></break>
1.58</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Neutrophil elastase</td>
<td align="center" rowspan="1" colspan="1">P08246</td>
<td align="center" rowspan="1" colspan="1">ELANE</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
PC  
<break></break>
G  
<break></break>
<underline>PI</underline>
</td>
<td align="center" rowspan="1" colspan="1">2.00
<break></break>
6.50
<break></break>
0.00
<break></break>
12.80</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Neutrophil collagenase</td>
<td align="center" rowspan="1" colspan="1">P22894</td>
<td align="center" rowspan="1" colspan="1">MMP8</td>
<td align="center" rowspan="1" colspan="1">PA  
<break></break>
<underline>PC</underline>
  
<break></break>
<underline>PI</underline>
</td>
<td align="center" rowspan="1" colspan="1">1.10
<break></break>
1.82
<break></break>
9.70</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Alpha-2-macroglobulin</td>
<td align="center" rowspan="1" colspan="1">P01023</td>
<td align="center" rowspan="1" colspan="1">A2M</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
G  
<break></break>
PI</td>
<td align="center" rowspan="1" colspan="1">2.15
<break></break>
0.00
<break></break>
8.10</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Alkaline phosphatase. tissue-nonspecific isozyme</td>
<td align="center" rowspan="1" colspan="1">P05186</td>
<td align="center" rowspan="1" colspan="1">ALPL</td>
<td align="center" rowspan="1" colspan="1">
<underline>PI</underline>
</td>
<td align="center" rowspan="1" colspan="1">5.90</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" colspan="40" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Neutrophil defensin 3</td>
<td align="center" rowspan="1" colspan="1">P59666</td>
<td align="center" rowspan="1" colspan="1">DEFA3</td>
<td align="center" rowspan="1" colspan="1">
<underline>PC</underline>
  
<break></break>
<underline>G</underline>
</td>
<td align="center" rowspan="1" colspan="1">2.63
<break></break>
−2.08</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">+</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GO CC: gene ontology cellular component; GO BP: gene ontology biological process; GO MF: gene ontology molecular function.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/TelematiV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000623 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 000623 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    TelematiV1
   |flux=    Pmc
   |étape=   Corpus
   |type=    RBID
   |clé=     PMC:4099050
   |texte=   The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/RBID.i   -Sk "pubmed:25057495" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a TelematiV1 

Wicri

This area was generated with Dilib version V0.6.31.
Data generation: Thu Nov 2 16:09:04 2017. Site generation: Sun Mar 10 16:42:28 2024