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Identification of novel urinary biomarkers for assessing disease activity and prognosis of rheumatoid arthritis

Title
Identification of novel urinary biomarkers for assessing disease activity and prognosis of rheumatoid arthritis
Authors
Park, YJ[Park, Yune-Jung]Yoo, SA[Yoo, Seung-Ah]Hwang, D[Hwang, Daehee]Cho, CS[Cho, Chul-Soo]Kim, WU[Kim, Wan-Uk]
DGIST Authors
Hwang, D[Hwang, Daehee]
Issue Date
2016-02
Citation
Experimental and Molecular Medicine, 48
Type
Article
Article Type
Article
ISSN
1226-3613
Abstract
To optimize treatment for rheumatoid arthritis (RA), it is ideal to monitor the disease activity on a daily basis because RA activity fluctuates over time. Urine can be collected routinely at home by patients. Recently, we identified four urinary biomarker candidates-gelsolin (GSN), orosomucoid (ORM)1, ORM2 and soluble CD14 (sCD14)-in RA patients through transcriptomic and proteomic studies. Here, we investigated the clinical significance of the aforementioned urinary biomarker candidates in a prospective manner. For the first time, we found that urinary ORM1, ORM2 and sCD14 levels, but not GSN, were elevated in RA patients and had a positive correlation with the status of the disease activity. In particular, urine tests for ORM 1, ORM 2 and sCD14 efficiently represented the presence of high RA activity without the need for measuring blood markers. In a parallel study, a more rapid radiographic progression over 3 years was observed in patients with higher ORM2 levels. Combined measurements of urinary ORM2 and serum C-reactive protein synergistically increased the predictability of the radiographic progression of RA (odds ratio: 46.5). Collectively, our data provide evidence that blood-free, urinary biomarkers are promising surrogates for assessing disease activity and prognosis of RA. We anticipate that our urinary biomarkers will provide novel candidates for patient-driven measurements of RA activity at home and can shift the paradigm from blood to urine testing in the assessment of RA activity and prognosis in hospitals.
URI
http://hdl.handle.net/20.500.11750/2729
DOI
10.1038/emm.2015.120
Publisher
Nature Publishing Group
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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