Validation of standard operating procedures in a multicenter retrospective study to identify -omics biomarkers for chronic low back pain.
Identifieur interne : 000C14 ( PubMed/Curation ); précédent : 000C13; suivant : 000C15Validation of standard operating procedures in a multicenter retrospective study to identify -omics biomarkers for chronic low back pain.
Auteurs : Concetta Dagostino [Italie] ; Manuela De Gregori [Italie] ; Christian Gieger [Allemagne] ; Judith Manz [Allemagne] ; Ivan Gudelj [Croatie] ; Gordan Lauc [Croatie] ; Laura Divizia [Italie] ; Wei Wang [Australie] ; Moira Sim [Australie] ; Iain K. Pemberton [France] ; Jane Macdougall [France] ; Frances Williams [Royaume-Uni] ; Jan Van Zundert [Belgique] ; Dragan Primorac [Croatie] ; Yurii Aulchenko [Pays-Bas] ; Leonardo Kapural [États-Unis] ; Massimo Allegri [Italie]Source :
- PloS one [ 1932-6203 ] ; 2017.
Descripteurs français
- KwdFr :
- Aire sous la courbe, Analyse chimique du sang (normes), Analyse multivariée, Australie, Carboxypeptidases (sang), Courbe ROC, Douleur chronique (génétique), Douleur chronique (métabolisme), Douleur chronique (sang), Europe, Humains, Lombalgie (génétique), Lombalgie (métabolisme), Lombalgie (sang), Marqueurs biologiques (sang), Polyosides (sang), Prélèvement sanguin (normes), États-Unis d'Amérique, Études rétrospectives.
- MESH :
- génétique : Douleur chronique, Lombalgie.
- métabolisme : Douleur chronique, Lombalgie.
- normes : Analyse chimique du sang, Prélèvement sanguin.
- sang : Carboxypeptidases, Douleur chronique, Lombalgie, Marqueurs biologiques, Polyosides.
- Aire sous la courbe, Analyse multivariée, Australie, Courbe ROC, Europe, Humains, États-Unis d'Amérique, Études rétrospectives.
English descriptors
- KwdEn :
- Area Under Curve, Australia, Biomarkers (blood), Blood Chemical Analysis (standards), Blood Specimen Collection (standards), Carboxypeptidases (blood), Chronic Pain (blood), Chronic Pain (genetics), Chronic Pain (metabolism), Europe, Humans, Low Back Pain (blood), Low Back Pain (genetics), Low Back Pain (metabolism), Multivariate Analysis, Polysaccharides (blood), ROC Curve, Retrospective Studies, United States.
- MESH :
- chemical , blood : Biomarkers, Carboxypeptidases, Polysaccharides.
- blood : Chronic Pain, Low Back Pain.
- genetics : Chronic Pain, Low Back Pain.
- metabolism : Chronic Pain, Low Back Pain.
- standards : Blood Chemical Analysis, Blood Specimen Collection.
- Area Under Curve, Australia, Europe, Humans, Multivariate Analysis, ROC Curve, Retrospective Studies, United States.
Abstract
Chronic low back pain (CLBP) is one of the most common medical conditions, ranking as the greatest contributor to global disability and accounting for huge societal costs based on the Global Burden of Disease 2010 study. Large genetic and -omics studies provide a promising avenue for the screening, development and validation of biomarkers useful for personalized diagnosis and treatment (precision medicine). Multicentre studies are needed for such an effort, and a standardized and homogeneous approach is vital for recruitment of large numbers of participants among different centres (clinical and laboratories) to obtain robust and reproducible results. To date, no validated standard operating procedures (SOPs) for genetic/-omics studies in chronic pain have been developed. In this study, we validated an SOP model that will be used in the multicentre (5 centres) retrospective "PainOmics" study, funded by the European Community in the 7th Framework Programme, which aims to develop new biomarkers for CLBP through three different -omics approaches: genomics, glycomics and activomics. The SOPs describe the specific procedures for (1) blood collection, (2) sample processing and storage, (3) shipping details and (4) cross-check testing and validation before assays that all the centres involved in the study have to follow. Multivariate analysis revealed the absolute specificity and homogeneity of the samples collected by the five centres for all genetics, glycomics and activomics analyses. The SOPs used in our multicenter study have been validated. Hence, they could represent an innovative tool for the correct management and collection of reliable samples in other large-omics-based multicenter studies.
DOI: 10.1371/journal.pone.0176372
PubMed: 28459826
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Carolina</wicri:regionArea></affiliation></author><author><name sortKey="Allegri, Massimo" sort="Allegri, Massimo" uniqKey="Allegri M" first="Massimo" last="Allegri">Massimo Allegri</name><affiliation wicri:level="1"><nlm:affiliation>Anesthesia, Critical Care and Pain Medicine Unit, Division of Surgical Sciences, Department of Medicine and Surgery, University of Parma, Parma, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Anesthesia, Critical Care and Pain Medicine Unit, Division of Surgical Sciences, Department of Medicine and Surgery, University of Parma, Parma</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:28459826</idno><idno type="pmid">28459826</idno><idno type="doi">10.1371/journal.pone.0176372</idno><idno type="wicri:Area/PubMed/Corpus">000C17</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" 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Parma</wicri:regionArea></affiliation></author><author><name sortKey="De Gregori, Manuela" sort="De Gregori, Manuela" uniqKey="De Gregori M" first="Manuela" last="De Gregori">Manuela De Gregori</name><affiliation wicri:level="1"><nlm:affiliation>PainTherapy Service, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>PainTherapy Service, Fondazione IRCCS Policlinico San Matteo, Pavia</wicri:regionArea></affiliation></author><author><name sortKey="Gieger, Christian" sort="Gieger, Christian" uniqKey="Gieger C" first="Christian" last="Gieger">Christian Gieger</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg</wicri:regionArea></affiliation></author><author><name sortKey="Manz, Judith" sort="Manz, Judith" uniqKey="Manz J" first="Judith" last="Manz">Judith Manz</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg</wicri:regionArea></affiliation></author><author><name sortKey="Gudelj, Ivan" sort="Gudelj, Ivan" uniqKey="Gudelj I" first="Ivan" last="Gudelj">Ivan Gudelj</name><affiliation wicri:level="1"><nlm:affiliation>Genos, Glycoscience Research Laboratory, Zagreb, Croatia.</nlm:affiliation><country xml:lang="fr">Croatie</country><wicri:regionArea>Genos, Glycoscience Research Laboratory, Zagreb</wicri:regionArea></affiliation></author><author><name sortKey="Lauc, Gordan" sort="Lauc, Gordan" uniqKey="Lauc G" first="Gordan" last="Lauc">Gordan Lauc</name><affiliation wicri:level="1"><nlm:affiliation>Genos, Glycoscience Research Laboratory, Zagreb, Croatia.</nlm:affiliation><country xml:lang="fr">Croatie</country><wicri:regionArea>Genos, Glycoscience Research Laboratory, Zagreb</wicri:regionArea></affiliation></author><author><name sortKey="Divizia, Laura" sort="Divizia, Laura" uniqKey="Divizia L" first="Laura" last="Divizia">Laura Divizia</name><affiliation wicri:level="1"><nlm:affiliation>Laboratory of Biochemistry and Genetics, Division of Pneumology, Department of Molecular Medicine, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Laboratory of Biochemistry and Genetics, Division of Pneumology, Department of Molecular Medicine, Fondazione IRCCS Policlinico San Matteo, Pavia</wicri:regionArea></affiliation></author><author><name sortKey="Wang, Wei" sort="Wang, Wei" uniqKey="Wang W" first="Wei" last="Wang">Wei Wang</name><affiliation wicri:level="1"><nlm:affiliation>School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia</wicri:regionArea></affiliation></author><author><name sortKey="Sim, Moira" sort="Sim, Moira" uniqKey="Sim M" first="Moira" last="Sim">Moira Sim</name><affiliation wicri:level="1"><nlm:affiliation>School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia</wicri:regionArea></affiliation></author><author><name sortKey="Pemberton, Iain K" sort="Pemberton, Iain K" uniqKey="Pemberton I" first="Iain K" last="Pemberton">Iain K. Pemberton</name><affiliation wicri:level="1"><nlm:affiliation>IP Research Consulting SASU (PHOTEOMIX) - Rex de Chaussée, Noisy le Grand, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>IP Research Consulting SASU (PHOTEOMIX) - Rex de Chaussée, Noisy le Grand</wicri:regionArea></affiliation></author><author><name sortKey="Macdougall, Jane" sort="Macdougall, Jane" uniqKey="Macdougall J" first="Jane" last="Macdougall">Jane Macdougall</name><affiliation wicri:level="1"><nlm:affiliation>IP Research Consulting SASU (PHOTEOMIX) - Rex de Chaussée, Noisy le Grand, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>IP Research Consulting SASU (PHOTEOMIX) - Rex de Chaussée, Noisy le Grand</wicri:regionArea></affiliation></author><author><name sortKey="Williams, Frances" sort="Williams, Frances" uniqKey="Williams F" first="Frances" last="Williams">Frances Williams</name><affiliation wicri:level="1"><nlm:affiliation>Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Twin Research and Genetic Epidemiology, King's College London, London</wicri:regionArea></affiliation></author><author><name sortKey="Van Zundert, Jan" sort="Van Zundert, Jan" uniqKey="Van Zundert J" first="Jan" last="Van Zundert">Jan Van Zundert</name><affiliation wicri:level="1"><nlm:affiliation>Department of Anesthesiology, Critical Care and Multidisciplinary Pain Center, Ziekenhuis Oost-Limburg, Genk, Belgium.</nlm:affiliation><country xml:lang="fr">Belgique</country><wicri:regionArea>Department of Anesthesiology, Critical Care and Multidisciplinary Pain Center, Ziekenhuis Oost-Limburg, Genk</wicri:regionArea></affiliation></author><author><name sortKey="Primorac, Dragan" sort="Primorac, Dragan" uniqKey="Primorac D" first="Dragan" last="Primorac">Dragan Primorac</name><affiliation wicri:level="1"><nlm:affiliation>St. Catherine Specialty Hospital, Zabok, Croatia.</nlm:affiliation><country xml:lang="fr">Croatie</country><wicri:regionArea>St. Catherine Specialty Hospital, Zabok</wicri:regionArea></affiliation></author><author><name sortKey="Aulchenko, Yurii" sort="Aulchenko, Yurii" uniqKey="Aulchenko Y" first="Yurii" last="Aulchenko">Yurii Aulchenko</name><affiliation wicri:level="1"><nlm:affiliation>PolyOmica, Groningen, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>PolyOmica, Groningen</wicri:regionArea></affiliation></author><author><name sortKey="Kapural, Leonardo" sort="Kapural, Leonardo" uniqKey="Kapural L" first="Leonardo" last="Kapural">Leonardo Kapural</name><affiliation wicri:level="1"><nlm:affiliation>Carolinas Pain Institute, Winston-Salem, North Carolina, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Carolinas Pain Institute, Winston-Salem, North Carolina</wicri:regionArea></affiliation></author><author><name sortKey="Allegri, Massimo" sort="Allegri, Massimo" uniqKey="Allegri M" first="Massimo" last="Allegri">Massimo Allegri</name><affiliation wicri:level="1"><nlm:affiliation>Anesthesia, Critical Care and Pain Medicine Unit, Division of Surgical Sciences, Department of Medicine and Surgery, University of Parma, Parma, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Anesthesia, Critical Care and Pain Medicine Unit, Division of Surgical Sciences, Department of Medicine and Surgery, University of Parma, Parma</wicri:regionArea></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Area Under Curve</term><term>Australia</term><term>Biomarkers (blood)</term><term>Blood Chemical Analysis (standards)</term><term>Blood Specimen Collection (standards)</term><term>Carboxypeptidases (blood)</term><term>Chronic Pain (blood)</term><term>Chronic Pain (genetics)</term><term>Chronic Pain (metabolism)</term><term>Europe</term><term>Humans</term><term>Low Back Pain (blood)</term><term>Low Back Pain (genetics)</term><term>Low Back Pain (metabolism)</term><term>Multivariate Analysis</term><term>Polysaccharides (blood)</term><term>ROC Curve</term><term>Retrospective Studies</term><term>United States</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Aire sous la courbe</term><term>Analyse chimique du sang (normes)</term><term>Analyse multivariée</term><term>Australie</term><term>Carboxypeptidases (sang)</term><term>Courbe ROC</term><term>Douleur chronique (génétique)</term><term>Douleur chronique (métabolisme)</term><term>Douleur chronique (sang)</term><term>Europe</term><term>Humains</term><term>Lombalgie (génétique)</term><term>Lombalgie (métabolisme)</term><term>Lombalgie (sang)</term><term>Marqueurs biologiques (sang)</term><term>Polyosides (sang)</term><term>Prélèvement sanguin (normes)</term><term>États-Unis d'Amérique</term><term>Études rétrospectives</term></keywords><keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>Biomarkers</term><term>Carboxypeptidases</term><term>Polysaccharides</term></keywords><keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Chronic Pain</term><term>Low Back Pain</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Chronic Pain</term><term>Low Back Pain</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Douleur chronique</term><term>Lombalgie</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Chronic Pain</term><term>Low Back Pain</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Douleur chronique</term><term>Lombalgie</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Analyse chimique du sang</term><term>Prélèvement sanguin</term></keywords><keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Carboxypeptidases</term><term>Douleur chronique</term><term>Lombalgie</term><term>Marqueurs biologiques</term><term>Polyosides</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Blood Chemical Analysis</term><term>Blood Specimen Collection</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Area Under Curve</term><term>Australia</term><term>Europe</term><term>Humans</term><term>Multivariate Analysis</term><term>ROC Curve</term><term>Retrospective Studies</term><term>United States</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Aire sous la courbe</term><term>Analyse multivariée</term><term>Australie</term><term>Courbe ROC</term><term>Europe</term><term>Humains</term><term>États-Unis d'Amérique</term><term>Études rétrospectives</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Chronic low back pain (CLBP) is one of the most common medical conditions, ranking as the greatest contributor to global disability and accounting for huge societal costs based on the Global Burden of Disease 2010 study. Large genetic and -omics studies provide a promising avenue for the screening, development and validation of biomarkers useful for personalized diagnosis and treatment (precision medicine). Multicentre studies are needed for such an effort, and a standardized and homogeneous approach is vital for recruitment of large numbers of participants among different centres (clinical and laboratories) to obtain robust and reproducible results. To date, no validated standard operating procedures (SOPs) for genetic/-omics studies in chronic pain have been developed. In this study, we validated an SOP model that will be used in the multicentre (5 centres) retrospective "PainOmics" study, funded by the European Community in the 7th Framework Programme, which aims to develop new biomarkers for CLBP through three different -omics approaches: genomics, glycomics and activomics. The SOPs describe the specific procedures for (1) blood collection, (2) sample processing and storage, (3) shipping details and (4) cross-check testing and validation before assays that all the centres involved in the study have to follow. Multivariate analysis revealed the absolute specificity and homogeneity of the samples collected by the five centres for all genetics, glycomics and activomics analyses. The SOPs used in our multicenter study have been validated. Hence, they could represent an innovative tool for the correct management and collection of reliable samples in other large-omics-based multicenter studies.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28459826</PMID><DateCreated><Year>2017</Year><Month>05</Month><Day>01</Day></DateCreated><DateCompleted><Year>2017</Year><Month>09</Month><Day>05</Day></DateCompleted><DateRevised><Year>2017</Year><Month>09</Month><Day>06</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><Issue>5</Issue><PubDate><Year>2017</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Validation of standard operating procedures in a multicenter retrospective study to identify -omics biomarkers for chronic low back pain.</ArticleTitle><Pagination><MedlinePgn>e0176372</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0176372</ELocationID><Abstract><AbstractText>Chronic low back pain (CLBP) is one of the most common medical conditions, ranking as the greatest contributor to global disability and accounting for huge societal costs based on the Global Burden of Disease 2010 study. Large genetic and -omics studies provide a promising avenue for the screening, development and validation of biomarkers useful for personalized diagnosis and treatment (precision medicine). Multicentre studies are needed for such an effort, and a standardized and homogeneous approach is vital for recruitment of large numbers of participants among different centres (clinical and laboratories) to obtain robust and reproducible results. To date, no validated standard operating procedures (SOPs) for genetic/-omics studies in chronic pain have been developed. In this study, we validated an SOP model that will be used in the multicentre (5 centres) retrospective "PainOmics" study, funded by the European Community in the 7th Framework Programme, which aims to develop new biomarkers for CLBP through three different -omics approaches: genomics, glycomics and activomics. The SOPs describe the specific procedures for (1) blood collection, (2) sample processing and storage, (3) shipping details and (4) cross-check testing and validation before assays that all the centres involved in the study have to follow. Multivariate analysis revealed the absolute specificity and homogeneity of the samples collected by the five centres for all genetics, glycomics and activomics analyses. The SOPs used in our multicenter study have been validated. Hence, they could represent an innovative tool for the correct management and collection of reliable samples in other large-omics-based multicenter studies.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Dagostino</LastName><ForeName>Concetta</ForeName><Initials>C</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-6746-6716</Identifier><AffiliationInfo><Affiliation>Anesthesia, Critical Care and Pain Medicine Unit, Division of Surgical Sciences, Department of Medicine and Surgery, University of Parma, Parma, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>De Gregori</LastName><ForeName>Manuela</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>PainTherapy Service, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gieger</LastName><ForeName>Christian</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Manz</LastName><ForeName>Judith</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gudelj</LastName><ForeName>Ivan</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>Genos, Glycoscience Research Laboratory, Zagreb, Croatia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lauc</LastName><ForeName>Gordan</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Genos, Glycoscience Research Laboratory, Zagreb, Croatia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Divizia</LastName><ForeName>Laura</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Laboratory of Biochemistry and Genetics, Division of Pneumology, Department of Molecular Medicine, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Wei</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sim</LastName><ForeName>Moira</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pemberton</LastName><ForeName>Iain K</ForeName><Initials>IK</Initials><AffiliationInfo><Affiliation>IP Research Consulting SASU (PHOTEOMIX) - Rex de Chaussée, Noisy le Grand, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>MacDougall</LastName><ForeName>Jane</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>IP Research Consulting SASU (PHOTEOMIX) - Rex de Chaussée, Noisy le Grand, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Williams</LastName><ForeName>Frances</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Van Zundert</LastName><ForeName>Jan</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Anesthesiology, Critical Care and Multidisciplinary Pain Center, Ziekenhuis Oost-Limburg, Genk, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Primorac</LastName><ForeName>Dragan</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>St. Catherine Specialty Hospital, Zabok, Croatia.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Eberly College of Science, The Pennsylvania State University, University Park, Pennsylvania, United States of America.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>University of Split School of Medicine, Split, Croatia.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>University of Osijek School of Medicine, Osijek, Croatia.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Children's Hospital Srebrnjak, Zagreb, Croatia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Aulchenko</LastName><ForeName>Yurii</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>PolyOmica, Groningen, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kapural</LastName><ForeName>Leonardo</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Carolinas Pain Institute, Winston-Salem, North Carolina, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Allegri</LastName><ForeName>Massimo</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Anesthesia, Critical Care and Pain Medicine Unit, Division of Surgical Sciences, Department of Medicine and Surgery, University of Parma, Parma, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>PainOmics Group</CollectiveName></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016448">Multicenter Study</PublicationType><PublicationType UI="D064888">Observational Study</PublicationType><PublicationType UI="D023361">Validation Studies</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>05</Month><Day>01</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D015415">Biomarkers</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D011134">Polysaccharides</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 3.4.-</RegistryNumber><NameOfSubstance UI="D002268">Carboxypeptidases</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Clin Biomech (Bristol, Avon). 2015 Jul;30(6):528-36</RefSource><PMID Version="1">25921552</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Rev Neurosci. 2015;26(5):581-606</RefSource><PMID 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