Urinary Proteome Profile Predictive of Disease Activity in Rheumatoid Arthritis
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- 作者：Min Jueng Kang ; Yune-Jung Park ; Sungyong You ; Seung-Ah Yoo ; Susanna Choi ; Dong-Ho Kim ; Chul-Soo Cho ; Eugene C. Yi ; Daehee Hwang ; Wan-Uk Kim
- 刊名：Journal of Proteome Research
- 出版年：2014
- 出版时间：November 7, 2014
- 年：2014
- 卷：13
- 期：11
- 页码：5206-5217
- 全文大小：498K
- ISSN：1535-3907
文摘
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鈥搕andem mass spectrometry (LC鈥揗S/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鈥揗S/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.