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dc.contributor.author Kang, Min Jueng -
dc.contributor.author Park, Yune-Jung -
dc.contributor.author You, Sungyong -
dc.contributor.author Yoo, Seung-Ah -
dc.contributor.author Choi, Susanna -
dc.contributor.author Kim, Dong-Ho -
dc.contributor.author Cho, Chul-Soo -
dc.contributor.author Yi, Eugene C. -
dc.contributor.author Hwang, Daehee -
dc.contributor.author Kim, Wan-Uk -
dc.date.available 2017-07-05T08:52:07Z -
dc.date.created 2017-04-10 -
dc.date.issued 2014-11 -
dc.identifier.issn 1535-3893 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/2374 -
dc.description.abstract Current serum biomarkers for rheumatoid arthritis (RA) are not highly sensitive or specific to changes of disease activities. Thus, other complementary biomarkers have been needed to improve assessment of RA activities. In many diseases, urine has been studied as a window to provide complementary information to serum measures. Here, we conducted quantitative urinary proteome profiling using liquid chromatographytandem mass spectrometry (LCMS/MS) and identified 134 differentially expressed proteins (DEPs) between RA and osteoarthritis (OA) urine samples. By integrating the DEPs with gene expression profiles in joints and mononuclear cells, we initially selected 12 biomarker candidates related to joint pathology and then tested their altered expression in independent RA and OA samples using enzyme-linked immunosorbent assay. Of the initial candidates, we selected four DEPs as final candidates that were abundant in RA patients and consistent with those observed in LCMS/MS analysis. Among them, we further focused on urinary soluble CD14 (sCD14) and examined its diagnostic value and association with disease activity. Urinary sCD14 had a diagnostic value comparable to conventional serum measures and an even higher predictive power for disease activity when combined with serum C-reactive protein. Thus, our urinary proteome provides a diagnostic window complementary to current serum parameters for the disease activity of RA. -
dc.language English -
dc.publisher American Chemical Society -
dc.title Urinary Proteome Profile Predictive of Disease Activity in Rheumatoid Arthritis -
dc.type Article -
dc.identifier.doi 10.1021/pr500467d -
dc.identifier.scopusid 2-s2.0-84908884333 -
dc.identifier.bibliographicCitation Journal of Proteome Research, v.13, no.11, pp.5206 - 5217 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor rheumatoid arthritis -
dc.subject.keywordAuthor urine -
dc.subject.keywordAuthor biomarkers -
dc.subject.keywordAuthor soluble CD14 -
dc.subject.keywordAuthor LC-MS/MS analysis -
dc.subject.keywordPlus C-REACTIVE PROTEIN -
dc.subject.keywordPlus SOLUBLE CD14 -
dc.subject.keywordPlus MASS-SPECTROMETRY -
dc.subject.keywordPlus STATISTICAL-MODEL -
dc.subject.keywordPlus EXPRESSION -
dc.subject.keywordPlus ASSOCIATION -
dc.subject.keywordPlus PERFORMANCE -
dc.subject.keywordPlus ANTIBODIES -
dc.subject.keywordPlus DIAGNOSIS -
dc.subject.keywordPlus TARGET -
dc.citation.endPage 5217 -
dc.citation.number 11 -
dc.citation.startPage 5206 -
dc.citation.title Journal of Proteome Research -
dc.citation.volume 13 -
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