Proteomics in Rheumatoid Arthritis Research
Yune-Jung Park, Min Kyung Chung, Daehee Hwang, and Wan-Uk Kim
Received: 15 June 2015; Accepted: 31 July 2015; Published: 26 August 2015.
Although rheumatoid arthritis (RA) is the most common chronic inflammatory autoimmune disease, diagnosis of RA is currently based on clinical manifestations, and there is no simple, practical assessment tool in the clinical field to assess disease activity and severity. Recently, there has been increasing interest in the discovery of new diagnostic RA biomarkers that can assist in evaluating disease activity, severity, and treatment response. Proteomics, the large-scale study of the proteome, has emerged as a powerful technique for protein identification and characterization. For the past 10 years, proteomic techniques have been applied to different biological samples (synovial tissue/fluid, blood, and urine) from RA patients and experimental animal models. In this review, we summarize the current state of the application of proteomics in RA and its importance in identifying biomarkers and treatment targets.
Keywords: Rheumatoid arthritis; Proteomics; Biomarker;