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Urinary Proteome Profile Predictive of Disease Activity in Rheumatoid Arthritis

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Title
Urinary Proteome Profile Predictive of Disease Activity in Rheumatoid Arthritis
Author(s)
Kang, MJ; Park, YJ; You, S; Yoo, SA; Choi, S; Kim, DH; Cho, CS; Yi, EC; Daehee Hwang; Kim, WU
Publication Date
2014-11
Journal
JOURNAL OF PROTEOME RESEARCH, v.13, no.11, pp.5206 - 5217
Publisher
AMER CHEMICAL SOC
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 chromatography−tandem mass spectrometry (LC−MS/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 LC−MS/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.
URI
https://pr.ibs.re.kr/handle/8788114/870
ISSN
1535-3893
Appears in Collections:
Center for Plant Aging Research (식물 노화·수명 연구단) > Journal Papers (저널논문)
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