Developing clinically relevant biomarkers in inflammatory arthritis: A multiplatform approach for serum candidate protein discovery
Identifieur interne : 001D06 ( Istex/Corpus ); précédent : 001D05; suivant : 001D07Developing clinically relevant biomarkers in inflammatory arthritis: A multiplatform approach for serum candidate protein discovery
Auteurs : Angela Mcardle ; Aisha Qasim Butt ; Agnes Szentpetery ; Wilco De Jager ; Sytze De Roock ; Oliver Fitzgerald ; Stephen R. PenningtonSource :
- PROTEOMICS – Clinical Applications [ 1862-8346 ] ; 2016-06.
Abstract
Purpose: To identify candidate biomarkers that have the potential to distinguish between patients with psoriatic arthritis (PsA) or rheumatoid arthritis (RA) and explore the value of combining different protein discovery platforms for the development of a multiplexed protein biomarker panel. Experimental design: Serum samples from 32 patients (PsA; n = 16 and RA; n = 16) defined as active, early onset, and treatment naïve were analyzed using unbiased label‐free LC‐MS/MS, a microsphere bead‐based immunoassay (Luminex xMAP) and an aptamer‐based assay (SOMAscan). Results: LC‐MS/MS was used to quantify 324 proteins, while the Luminex xMAP targeted 48 proteins and SOMAscan supported the measurement of 1129 proteins. The combined data from these techniques gave reproducible quantification of 1501 proteins in total. Of these, 42 (LC‐MS/MS), 3 (Luminex xMAP), and 127 (SOMAscan) proteins were found to be differentially expressed between PsA and RA (p < 0.05). Conclusion and clinical relevance: Using three different and potentially complementary proteomic platforms we identified a total of 172 proteins that are differentially expressed in patients with PsA compared to RA. These proteins collectively represent candidates for inclusion in a protein signature that could be developed as a diagnostic test to discriminate patients with PsA from RA and therefore be of clinical utility.
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DOI: 10.1002/prca.201500046
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Pennington</name><affiliation><mods:affiliation>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Dublin, Belfield, Ireland</mods:affiliation></affiliation><affiliation><mods:affiliation>: Professor Stephen Pennington, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland:</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Stephen.Pennington@ucd.ie</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j" type="main">PROTEOMICS – Clinical Applications</title><title level="j" type="sub">Musculoskeletal Diseases</title><title level="j" type="alt">PROTEOMICS CLINICAL APPLICATIONS</title><idno type="ISSN">1862-8346</idno><idno type="eISSN">1862-8354</idno><imprint><biblScope unit="vol">10</biblScope><biblScope unit="issue">6</biblScope><biblScope unit="page" from="691">691</biblScope><biblScope unit="page" to="698">698</biblScope><biblScope unit="page-count">8</biblScope><date type="published" when="2016-06">2016-06</date></imprint><idno type="ISSN">1862-8346</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1862-8346</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract">Purpose: To identify candidate biomarkers that have the potential to distinguish between patients with psoriatic arthritis (PsA) or rheumatoid arthritis (RA) and explore the value of combining different protein discovery platforms for the development of a multiplexed protein biomarker panel. Experimental design: Serum samples from 32 patients (PsA; n = 16 and RA; n = 16) defined as active, early onset, and treatment naïve were analyzed using unbiased label‐free LC‐MS/MS, a microsphere bead‐based immunoassay (Luminex xMAP) and an aptamer‐based assay (SOMAscan). Results: LC‐MS/MS was used to quantify 324 proteins, while the Luminex xMAP targeted 48 proteins and SOMAscan supported the measurement of 1129 proteins. The combined data from these techniques gave reproducible quantification of 1501 proteins in total. Of these, 42 (LC‐MS/MS), 3 (Luminex xMAP), and 127 (SOMAscan) proteins were found to be differentially expressed between PsA and RA (p < 0.05). Conclusion and clinical relevance: Using three different and potentially complementary proteomic platforms we identified a total of 172 proteins that are differentially expressed in patients with PsA compared to RA. These proteins collectively represent candidates for inclusion in a protein signature that could be developed as a diagnostic test to discriminate patients with PsA from RA and therefore be of clinical utility.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Angela McArdle</name><affiliations><json:string>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Dublin, Belfield, Ireland</json:string></affiliations></json:item><json:item><name>Aisha Qasim Butt</name><affiliations><json:string>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Dublin, Belfield, Ireland</json:string></affiliations></json:item><json:item><name>Agnes Szentpetery</name><affiliations><json:string>Department of Rheumatology, St. Vincent's University Hospital, Dublin, Elm Park, Ireland</json:string></affiliations></json:item><json:item><name>Wilco de Jager</name><affiliations><json:string>Department of Pediatric Immunology, Laboratory of Translational Immunology LTI, Wilhelmia Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands</json:string><json:string>Multiplex Core Facility, Laboratory of Translational Immunology LTI, University Medical Centre Utrecht, Utrecht, The Netherlands</json:string></affiliations></json:item><json:item><name>Sytze de Roock</name><affiliations><json:string>Department of Pediatric Immunology, Laboratory of Translational Immunology LTI, Wilhelmia Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands</json:string></affiliations></json:item><json:item><name>Oliver FitzGerald</name><affiliations><json:string>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland</json:string><json:string>Department of Rheumatology, St. Vincent's University Hospital, Dublin, Elm Park, Ireland</json:string></affiliations></json:item><json:item><name>Stephen R. Pennington</name><affiliations><json:string>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Dublin, Belfield, Ireland</json:string><json:string>: Professor Stephen Pennington, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland:</json:string><json:string>E-mail: Stephen.Pennington@ucd.ie</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>LC‐MS/MS</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Luminex</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Multiplexing</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Psoriatic and Rhuematoid Arthritis</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>SOMAscan</value></json:item></subject><articleId><json:string>PRCA1707</json:string></articleId><arkIstex>ark:/67375/WNG-5HTJNHCH-R</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Purpose: To identify candidate biomarkers that have the potential to distinguish between patients with psoriatic arthritis (PsA) or rheumatoid arthritis (RA) and explore the value of combining different protein discovery platforms for the development of a multiplexed protein biomarker panel. Experimental design: Serum samples from 32 patients (PsA; n = 16 and RA; n = 16) defined as active, early onset, and treatment naïve were analyzed using unbiased label‐free LC‐MS/MS, a microsphere bead‐based immunoassay (Luminex xMAP) and an aptamer‐based assay (SOMAscan). Results: LC‐MS/MS was used to quantify 324 proteins, while the Luminex xMAP targeted 48 proteins and SOMAscan supported the measurement of 1129 proteins. The combined data from these techniques gave reproducible quantification of 1501 proteins in total. Of these, 42 (LC‐MS/MS), 3 (Luminex xMAP), and 127 (SOMAscan) proteins were found to be differentially expressed between PsA and RA (p > 0.05). Conclusion and clinical relevance: Using three different and potentially complementary proteomic platforms we identified a total of 172 proteins that are differentially expressed in patients with PsA compared to RA. 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KGaA, Weinheim</licence></availability><date type="published" when="2016-06"></date></publicationStmt><notesStmt><note type="content-type" subtype="article" source="article" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</note><note type="publication-type" subtype="journal" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</note></notesStmt><sourceDesc><biblStruct type="article"><analytic><title level="a" type="main">Developing clinically relevant biomarkers in inflammatory arthritis: A multiplatform approach for serum candidate protein discovery</title><author xml:id="author-0000"><persName><forename type="first">Angela</forename><surname>McArdle</surname></persName><affiliation><orgName type="division">School of Medicine and Medical Science</orgName><orgName type="institution">UCD Conway Institute, University College Dublin</orgName><address><settlement>Belfield</settlement><region>Dublin</region><country key="IE" xml:lang="en">IRELAND</country></address></affiliation></author><author xml:id="author-0001"><persName><forename type="first">Aisha</forename><surname>Qasim Butt</surname></persName><affiliation><orgName type="division">School of Medicine and Medical Science</orgName><orgName type="institution">UCD Conway Institute, University College Dublin</orgName><address><settlement>Belfield</settlement><region>Dublin</region><country key="IE" xml:lang="en">IRELAND</country></address></affiliation></author><author xml:id="author-0002"><persName><forename type="first">Agnes</forename><surname>Szentpetery</surname></persName><affiliation><orgName type="division">Department of Rheumatology</orgName><orgName type="institution">St. Vincent's University Hospital</orgName><address><settlement>Elm Park</settlement><region>Dublin</region><country key="IE" xml:lang="en">IRELAND</country></address></affiliation></author><author xml:id="author-0003"><persName><forename type="first">Wilco</forename><surname>Jager</surname></persName><affiliation><orgName type="division">Department of Pediatric Immunology</orgName><orgName type="division">Laboratory of Translational Immunology LTI</orgName><orgName type="division">Wilhelmia Children's Hospital</orgName><orgName type="institution">University Medical Centre Utrecht</orgName><address><settlement>Utrecht</settlement><country key="NL" xml:lang="en">THE NETHERLANDS</country></address></affiliation><affiliation><orgName type="division">Multiplex Core Facility</orgName><orgName type="division">Laboratory of Translational Immunology LTI</orgName><orgName type="institution">University Medical Centre Utrecht</orgName><address><settlement>Utrecht</settlement><country key="NL" xml:lang="en">THE NETHERLANDS</country></address></affiliation></author><author xml:id="author-0004"><persName><forename type="first">Sytze</forename><surname>Roock</surname></persName><affiliation><orgName type="division">Department of Pediatric Immunology</orgName><orgName type="division">Laboratory of Translational Immunology LTI</orgName><orgName type="division">Wilhelmia Children's Hospital</orgName><orgName type="institution">University Medical Centre Utrecht</orgName><address><settlement>Utrecht</settlement><country key="NL" xml:lang="en">THE NETHERLANDS</country></address></affiliation></author><author xml:id="author-0005"><persName><forename type="first">Oliver</forename><surname>FitzGerald</surname></persName><affiliation><orgName type="division">School of Medicine and Medical Science</orgName><orgName type="institution">UCD Conway Institute, University College Dublin</orgName><address><settlement>Belfield</settlement><region>Dublin</region><country key="IE" xml:lang="en">IRELAND</country></address></affiliation><affiliation><orgName type="division">Department of Rheumatology</orgName><orgName type="institution">St. Vincent's University Hospital</orgName><address><settlement>Elm Park</settlement><region>Dublin</region><country key="IE" xml:lang="en">IRELAND</country></address></affiliation></author><author xml:id="author-0006" role="corresp"><persName><forename type="first">Stephen R.</forename><surname>Pennington</surname></persName><affiliation><orgName type="division">School of Medicine and Medical Science</orgName><orgName type="institution">UCD Conway Institute, University College Dublin</orgName><address><settlement>Belfield</settlement><region>Dublin</region><country key="IE" xml:lang="en">IRELAND</country></address></affiliation></author><idno type="istex">F023E7FCEABE0F56C5D441692BAE04C3B468B253</idno><idno type="ark">ark:/67375/WNG-5HTJNHCH-R</idno><idno type="DOI">10.1002/prca.201500046</idno><idno type="unit">PRCA1707</idno><idno type="toTypesetVersion">file:PRCA.PRCA1707.pdf</idno></analytic><monogr><editor xml:id="editor-0000"><persName><forename type="first">David S.</forename><surname>Gibson</surname></persName></editor><editor 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The combined data from these techniques gave reproducible quantification of 1501 proteins in total. Of these, 42 (LC‐MS/MS), 3 (Luminex xMAP), and 127 (SOMAscan) proteins were found to be differentially expressed between PsA and RA (<hi rend="italic">p</hi> < 0.05).</p><head>Conclusion and clinical relevance</head><p>Using three different and potentially complementary proteomic platforms we identified a total of 172 proteins that are differentially expressed in patients with PsA compared to RA. These proteins collectively represent candidates for inclusion in a protein signature that could be developed as a diagnostic test to discriminate patients with PsA from RA and therefore be of clinical utility.</p></abstract><textClass><keywords><term xml:id="prca1707-kwd-0001">LC‐MS/MS</term><term xml:id="prca1707-kwd-0002">Luminex</term><term xml:id="prca1707-kwd-0003">Multiplexing</term><term xml:id="prca1707-kwd-0004">Psoriatic and Rhuematoid Arthritis</term><term xml:id="prca1707-kwd-0005">SOMAscan</term></keywords><keywords rend="articleCategory"><term>Technical Brief</term></keywords><keywords rend="tocHeading1"><term>Technical Brief</term></keywords></textClass><langUsage><language ident="en"></language></langUsage></profileDesc><revisionDesc><change when="2019-12-20" who="#istex" xml:id="pub2tei">formatting</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/ark:/67375/WNG-5HTJNHCH-R/fulltext.txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en" xml:id="prca1707"><header><publicationMeta level="product"><doi origin="wiley" registered="yes">10.1002/(ISSN)1862-8354</doi><issn type="print">1862-8346</issn><issn type="electronic">1862-8354</issn><idGroup><id type="product" value="PRCA"></id></idGroup><titleGroup><title type="main" sort="PROTEOMICS CLINICAL APPLICATIONS">PROTEOMICS – Clinical Applications</title><title type="short">Prot. 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KGaA, Weinheim</copyright><numberingGroup><numbering type="journalVolume" number="10">10</numbering><numbering type="journalIssue">6</numbering></numberingGroup><creators><creator xml:id="sped1" creatorRole="editor"><personName><givenNames>David S.</givenNames><familyName>Gibson</familyName></personName></creator><creator xml:id="sped2" creatorRole="editor"><personName><givenNames>Madeleine E.</givenNames><familyName>Rooney</familyName></personName></creator></creators><coverDate startDate="2016-06">June 2016</coverDate></publicationMeta><publicationMeta level="unit" position="110" type="article" status="forIssue"><doi origin="wiley">10.1002/prca.201500046</doi><idGroup><id type="unit" value="PRCA1707"></id></idGroup><countGroup><count type="pageTotal" number="8"></count></countGroup><titleGroup><title type="articleCategory">Technical Brief</title><title type="tocHeading1">Technical Brief</title></titleGroup><copyright ownership="publisher">© 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim</copyright><eventGroup><event type="manuscriptReceived" date="2015-04-30"></event><event type="manuscriptRevised" date="2015-07-17"></event><event type="manuscriptAccepted" date="2015-08-27"></event><event type="xmlCreated" agent="Aptara" date="2015-09-09"></event><event type="firstOnline" date="2015-11-09"></event><event type="publishedOnlineAccepted" date="2015-09-02"></event><event type="publishedOnlineEarlyUnpaginated" date="2015-11-09"></event><event type="publishedOnlineFinalForm" date="2016-06-01"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:5.0.6 mode:FullText" date="2017-02-10"></event></eventGroup><numberingGroup><numbering type="pageFirst">691</numbering><numbering type="pageLast">698</numbering></numberingGroup><correspondenceTo><lineatedText><line><b>Correspondence</b>: Professor Stephen Pennington, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland</line><line><b>E‐mail</b>: <email>Stephen.Pennington@ucd.ie</email></line></lineatedText></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:PRCA.PRCA1707.pdf"></link></linkGroup></publicationMeta><contentMeta><titleGroup><title type="main">Developing clinically relevant biomarkers in inflammatory arthritis: A multiplatform approach for serum candidate protein discovery</title><title type="shortAuthors">A. McArdle et al.</title></titleGroup><creators><creator xml:id="prca1707-cr-0001" creatorRole="author" affiliationRef="#prca1707-aff-0001" noteRef="#prca1707-note-0001"><personName><givenNames>Angela</givenNames><familyName>McArdle</familyName></personName></creator><creator xml:id="prca1707-cr-0002" creatorRole="author" affiliationRef="#prca1707-aff-0001" noteRef="#prca1707-note-0001"><personName><givenNames>Aisha</givenNames><familyName>Qasim Butt</familyName></personName></creator><creator xml:id="prca1707-cr-0003" creatorRole="author" affiliationRef="#prca1707-aff-0002"><personName><givenNames>Agnes</givenNames><familyName>Szentpetery</familyName></personName></creator><creator xml:id="prca1707-cr-0004" creatorRole="author" affiliationRef="#prca1707-aff-0003 #prca1707-aff-0004"><personName><givenNames>Wilco</givenNames><familyNamePrefix>de</familyNamePrefix> <familyName>Jager</familyName></personName></creator><creator xml:id="prca1707-cr-0005" creatorRole="author" affiliationRef="#prca1707-aff-0003"><personName><givenNames>Sytze</givenNames><familyNamePrefix>de</familyNamePrefix> <familyName>Roock</familyName></personName></creator><creator xml:id="prca1707-cr-0006" creatorRole="author" affiliationRef="#prca1707-aff-0001 #prca1707-aff-0002"><personName><givenNames>Oliver</givenNames><familyName>FitzGerald</familyName></personName></creator><creator xml:id="prca1707-cr-0007" creatorRole="author" affiliationRef="#prca1707-aff-0001" corresponding="yes"><personName><givenNames>Stephen R.</givenNames><familyName>Pennington</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="prca1707-aff-0001" countryCode="IE"><orgDiv>School of Medicine and Medical Science</orgDiv><orgName>UCD Conway Institute, University College Dublin</orgName><address><city>Belfield</city><countryPart>Dublin</countryPart><country>Ireland</country></address></affiliation><affiliation xml:id="prca1707-aff-0002" countryCode="IE"><orgDiv>Department of Rheumatology</orgDiv><orgName>St. Vincent's University Hospital</orgName><address><city>Elm Park</city><countryPart>Dublin</countryPart><country>Ireland</country></address></affiliation><affiliation xml:id="prca1707-aff-0003" countryCode="NL"><orgDiv>Department of Pediatric Immunology</orgDiv><orgDiv>Laboratory of Translational Immunology LTI</orgDiv><orgDiv>Wilhelmia Children's Hospital</orgDiv><orgName>University Medical Centre Utrecht</orgName><address><city>Utrecht</city><country>The Netherlands</country></address></affiliation><affiliation xml:id="prca1707-aff-0004" countryCode="NL"><orgDiv>Multiplex Core Facility</orgDiv><orgDiv>Laboratory of Translational Immunology LTI</orgDiv><orgName>University Medical Centre Utrecht</orgName><address><city>Utrecht</city><country>The Netherlands</country></address></affiliation></affiliationGroup><keywordGroup type="author"><keyword xml:id="prca1707-kwd-0001">LC‐MS/MS</keyword><keyword xml:id="prca1707-kwd-0002">Luminex</keyword><keyword xml:id="prca1707-kwd-0003">Multiplexing</keyword><keyword xml:id="prca1707-kwd-0004">Psoriatic and Rhuematoid Arthritis</keyword><keyword xml:id="prca1707-kwd-0005">SOMAscan</keyword></keywordGroup><abstractGroup><abstract type="main"><section xml:id="prca1707-sec-0010"><title type="main">Purpose</title><p>To identify candidate biomarkers that have the potential to distinguish between patients with psoriatic arthritis (PsA) or rheumatoid arthritis (RA) and explore the value of combining different protein discovery platforms for the development of a multiplexed protein biomarker panel.</p></section><section xml:id="prca1707-sec-0020"><title type="main">Experimental design</title><p>Serum samples from 32 patients (PsA; <i>n</i> = 16 and RA; <i>n</i> = 16) defined as active, early onset, and treatment naïve were analyzed using unbiased label‐free LC‐MS/MS, a microsphere bead‐based immunoassay (Luminex xMAP) and an aptamer‐based assay (SOMAscan).</p></section><section xml:id="prca1707-sec-0030"><title type="main">Results</title><p>LC‐MS/MS was used to quantify 324 proteins, while the Luminex xMAP targeted 48 proteins and SOMAscan supported the measurement of 1129 proteins. The combined data from these techniques gave reproducible quantification of 1501 proteins in total. Of these, 42 (LC‐MS/MS), 3 (Luminex xMAP), and 127 (SOMAscan) proteins were found to be differentially expressed between PsA and RA (<i>p</i> < 0.05).</p></section><section xml:id="prca1707-sec-0040"><title type="main">Conclusion and clinical relevance</title><p>Using three different and potentially complementary proteomic platforms we identified a total of 172 proteins that are differentially expressed in patients with PsA compared to RA. These proteins collectively represent candidates for inclusion in a protein signature that could be developed as a diagnostic test to discriminate patients with PsA from RA and therefore be of clinical utility.</p></section></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="prca1707-note-0001"><p>Both authors contributed equally to the manuscript.</p></note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Developing clinically relevant biomarkers in inflammatory arthritis: A multiplatform approach for serum candidate protein discovery</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Developing clinically relevant biomarkers in inflammatory arthritis: A multiplatform approach for serum candidate protein discovery</title></titleInfo><name type="personal"><namePart type="given">Angela</namePart><namePart type="family">McArdle</namePart><affiliation>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Dublin, Belfield, Ireland</affiliation><description>Both authors contributed equally to the manuscript.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Aisha</namePart><namePart type="family">Qasim Butt</namePart><affiliation>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Dublin, Belfield, Ireland</affiliation><description>Both authors contributed equally to the manuscript.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Agnes</namePart><namePart type="family">Szentpetery</namePart><affiliation>Department of Rheumatology, St. Vincent's University Hospital, Dublin, Elm Park, Ireland</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Wilco</namePart><namePart type="family">de Jager</namePart><affiliation>Department of Pediatric Immunology, Laboratory of Translational Immunology LTI, Wilhelmia Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands</affiliation><affiliation>Multiplex Core Facility, Laboratory of Translational Immunology LTI, University Medical Centre Utrecht, Utrecht, The Netherlands</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Sytze</namePart><namePart type="family">de Roock</namePart><affiliation>Department of Pediatric Immunology, Laboratory of Translational Immunology LTI, Wilhelmia Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Oliver</namePart><namePart type="family">FitzGerald</namePart><affiliation>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland</affiliation><affiliation>Department of Rheumatology, St. Vincent's University Hospital, Dublin, Elm Park, Ireland</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Stephen R.</namePart><namePart type="family">Pennington</namePart><affiliation>School of Medicine and Medical Science, UCD Conway Institute, University College Dublin, Dublin, Belfield, Ireland</affiliation><affiliation>: Professor Stephen Pennington, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland:</affiliation><affiliation>E-mail: Stephen.Pennington@ucd.ie</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><dateIssued encoding="w3cdtf">2016-06</dateIssued><dateCreated encoding="w3cdtf">2015-09-09</dateCreated><dateCaptured encoding="w3cdtf">2015-04-30</dateCaptured><dateValid encoding="w3cdtf">2015-08-27</dateValid><copyrightDate encoding="w3cdtf">2016</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract>Purpose: To identify candidate biomarkers that have the potential to distinguish between patients with psoriatic arthritis (PsA) or rheumatoid arthritis (RA) and explore the value of combining different protein discovery platforms for the development of a multiplexed protein biomarker panel. Experimental design: Serum samples from 32 patients (PsA; n = 16 and RA; n = 16) defined as active, early onset, and treatment naïve were analyzed using unbiased label‐free LC‐MS/MS, a microsphere bead‐based immunoassay (Luminex xMAP) and an aptamer‐based assay (SOMAscan). Results: LC‐MS/MS was used to quantify 324 proteins, while the Luminex xMAP targeted 48 proteins and SOMAscan supported the measurement of 1129 proteins. The combined data from these techniques gave reproducible quantification of 1501 proteins in total. Of these, 42 (LC‐MS/MS), 3 (Luminex xMAP), and 127 (SOMAscan) proteins were found to be differentially expressed between PsA and RA (p < 0.05). Conclusion and clinical relevance: Using three different and potentially complementary proteomic platforms we identified a total of 172 proteins that are differentially expressed in patients with PsA compared to RA. These proteins collectively represent candidates for inclusion in a protein signature that could be developed as a diagnostic test to discriminate patients with PsA from RA and therefore be of clinical utility.</abstract><subject><genre>keywords</genre><topic>LC‐MS/MS</topic><topic>Luminex</topic><topic>Multiplexing</topic><topic>Psoriatic and Rhuematoid Arthritis</topic><topic>SOMAscan</topic></subject><relatedItem type="host"><titleInfo><title>PROTEOMICS – Clinical Applications</title></titleInfo><titleInfo type="abbreviated"><title>Prot. Clin. 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