The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning
Identifieur interne : 000247 ( Main/Exploration ); précédent : 000246; suivant : 000248The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning
Auteurs : Nuno Rosa [Portugal] ; Maria José Correia [Portugal] ; Joel P. Arrais [Portugal] ; Nuno Costa [Portugal] ; José Luís Oliveira [Portugal] ; Marlene Barros [Portugal]Source :
- BioMed Research International [ 2314-6133 ] ; 2014.
Descripteurs français
- KwdFr :
- Biofilms, Fibroblastes (métabolisme), Gencive (métabolisme), Gingivite (métabolisme), Granulocytes neutrophiles (métabolisme), Humains, Inflammation (métabolisme), Macrophages (métabolisme), Maladie chronique, Maladies parodontales (génétique), Maladies parodontales (métabolisme), Marqueurs biologiques (métabolisme), Monocytes (métabolisme), Résorption osseuse, Évolution de la maladie.
- MESH :
English descriptors
- KwdEn :
- Biofilms, Biomarkers (metabolism), Bone Resorption, Chronic Disease, Disease Progression, Fibroblasts (metabolism), Gingiva (metabolism), Gingivitis (metabolism), Humans, Inflammation (metabolism), Macrophages (metabolism), Monocytes (metabolism), Neutrophils (metabolism), Periodontal Diseases (genetics), Periodontal Diseases (metabolism).
- MESH :
- chemical , metabolism : Biomarkers.
- genetics : Periodontal Diseases.
- metabolism : Fibroblasts, Gingiva, Gingivitis, Inflammation, Macrophages, Monocytes, Neutrophils, Periodontal Diseases.
- Biofilms, Bone Resorption, Chronic Disease, Disease Progression, Humans.
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
Affiliations:
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Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu</wicri:regionArea><wicri:noRegion>3504-505 Viseu</wicri:noRegion></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 wicri:level="1"><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><country xml:lang="fr">Portugal</country><wicri:regionArea>Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu</wicri:regionArea><wicri:noRegion>3504-505 Viseu</wicri:noRegion></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 wicri:level="1"><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><country xml:lang="fr">Portugal</country><wicri:regionArea>Department of Informatics Engineering (DEI), Centre for Informatics and Systems of the University of Coimbra (CISUC), University of Coimbra, 3030-290 Coimbra</wicri:regionArea><wicri:noRegion>3030-290 Coimbra</wicri:noRegion></affiliation></author><author><name sortKey="Costa, Nuno" sort="Costa, Nuno" uniqKey="Costa N" first="Nuno" last="Costa">Nuno Costa</name><affiliation wicri:level="1"><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><country xml:lang="fr">Portugal</country><wicri:regionArea>Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu</wicri:regionArea><wicri:noRegion>3504-505 Viseu</wicri:noRegion></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 wicri:level="1"><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><country xml:lang="fr">Portugal</country><wicri:regionArea>Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, 3810-193 Aveiro</wicri:regionArea><wicri:noRegion>3810-193 Aveiro</wicri:noRegion></affiliation></author><author><name sortKey="Barros, Marlene" sort="Barros, Marlene" uniqKey="Barros M" first="Marlene" last="Barros">Marlene Barros</name><affiliation wicri:level="1"><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><country xml:lang="fr">Portugal</country><wicri:regionArea>Department of Health Sciences, Institute of Health Sciences (ICS), Center for Interdisciplinary Research in Health (CIIS), The Catholic University of Portugal, 3504-505 Viseu</wicri:regionArea><wicri:noRegion>3504-505 Viseu</wicri:noRegion></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><keywords scheme="KwdEn" xml:lang="en"><term>Biofilms</term><term>Biomarkers (metabolism)</term><term>Bone Resorption</term><term>Chronic Disease</term><term>Disease Progression</term><term>Fibroblasts (metabolism)</term><term>Gingiva (metabolism)</term><term>Gingivitis (metabolism)</term><term>Humans</term><term>Inflammation (metabolism)</term><term>Macrophages (metabolism)</term><term>Monocytes (metabolism)</term><term>Neutrophils (metabolism)</term><term>Periodontal Diseases (genetics)</term><term>Periodontal Diseases (metabolism)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Biofilms</term><term>Fibroblastes (métabolisme)</term><term>Gencive (métabolisme)</term><term>Gingivite (métabolisme)</term><term>Granulocytes neutrophiles (métabolisme)</term><term>Humains</term><term>Inflammation (métabolisme)</term><term>Macrophages (métabolisme)</term><term>Maladie chronique</term><term>Maladies parodontales (génétique)</term><term>Maladies parodontales (métabolisme)</term><term>Marqueurs biologiques (métabolisme)</term><term>Monocytes (métabolisme)</term><term>Résorption osseuse</term><term>Évolution de la maladie</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Biomarkers</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Periodontal Diseases</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Maladies parodontales</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Fibroblasts</term><term>Gingiva</term><term>Gingivitis</term><term>Inflammation</term><term>Macrophages</term><term>Monocytes</term><term>Neutrophils</term><term>Periodontal Diseases</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Fibroblastes</term><term>Gencive</term><term>Gingivite</term><term>Granulocytes neutrophiles</term><term>Inflammation</term><term>Macrophages</term><term>Maladies parodontales</term><term>Marqueurs biologiques</term><term>Monocytes</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biofilms</term><term>Bone Resorption</term><term>Chronic Disease</term><term>Disease Progression</term><term>Humans</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Biofilms</term><term>Humains</term><term>Maladie chronique</term><term>Résorption osseuse</term><term>Évolution de la maladie</term></keywords></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 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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><affiliations><list><country><li>Portugal</li></country></list><tree><country name="Portugal"><noRegion><name sortKey="Rosa, Nuno" sort="Rosa, Nuno" uniqKey="Rosa N" first="Nuno" last="Rosa">Nuno Rosa</name></noRegion><name sortKey="Arrais, Joel P" sort="Arrais, Joel P" uniqKey="Arrais J" first="Joel P." last="Arrais">Joel P. Arrais</name><name sortKey="Barros, Marlene" sort="Barros, Marlene" uniqKey="Barros M" first="Marlene" last="Barros">Marlene Barros</name><name sortKey="Correia, Maria Jose" sort="Correia, Maria Jose" uniqKey="Correia M" first="Maria José" last="Correia">Maria José Correia</name><name sortKey="Costa, Nuno" sort="Costa, Nuno" uniqKey="Costa N" first="Nuno" last="Costa">Nuno Costa</name><name sortKey="Oliveira, Jose Luis" sort="Oliveira, Jose Luis" uniqKey="Oliveira J" first="José Luís" last="Oliveira">José Luís Oliveira</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= The Landscape of Protein Biomarkers Proposed for Periodontal Disease: Markers with Functional Meaning
}}
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