Cited 7 time in webofscience Cited 6 time in scopus

Urinary Proteome Profile Predictive of Disease Activity in Rheumatoid Arthritis

Title
Urinary Proteome Profile Predictive of Disease Activity in Rheumatoid Arthritis
Authors
Kang, MJ[Kang, Min Jueng]Park, YJ[Park, Yune-Jung]You, S[You, Sungyong]Yoo, SA[Yoo, Seung-Ah]Choi, S[Choi, Susanna]Kim, DH[Kim, Dong-Ho]Cho, CS[Cho, Chul-Soo]Yi, EC[Yi, Eugene C.]Hwang, D[Hwang, Daehee]Kim, WU[Kim, Wan-Uk]
DGIST Authors
Hwang, D[Hwang, Daehee]
Issue Date
2014-11
Citation
Journal of Proteome Research, 13(11), 5206-5217
Type
Article
Article Type
Article
ISSN
1535-3893
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.
URI
http://hdl.handle.net/20.500.11750/2374
DOI
10.1021/pr500467d
Publisher
American Chemical Society
Related Researcher
  • Author Hwang, Dae Hee Systems Biology and Medicine Lab
  • Research Interests Multilayered spatiotemporal networks; Regulatory motifs or pathways; Metabolite-protein networks; Network stochasticity; Proteomics and informatics
Files:
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Collection:
New BiologyETC1. Journal Articles


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