Open AccessIdentification of Osteoarthritis Biomarkers by Proteomic Analysis of Synovial Fluid
Author(s) -
My Y. Han,
Jj J. Dai,
Y. Zhang,
Qi Lin,
Ming Jiang,
X. Yun Xu,
Q. Liu
Publication year - 2012
Publication title -
journal of international medical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 57
eISSN - 1473-2300
pISSN - 0300-0605
DOI - 10.1177/030006051204000622
Subject(s) - osteoarthritis , medicine , synovial fluid , rheumatoid arthritis , biomarker , proteomics , biomarker discovery , arthritis , pathology , biochemistry , chemistry , gene , alternative medicine
Objective: To use proteomic analysis to identify novel candidate biomarker proteins in synovial fluid for the differential diagnosis of osteoarthritis and rheumatoid arthritis.Methods: Synovial fluid samples were analysed using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Data were used to generate an artificial neural network (ANN). The identification of one protein peak was confirmed via Western blotting.Results: Fluid samples were analysed from 36 patients with osteoarthritis and 24 with rheumatoid arthritis. In total, three protein peaks (mass-to-charge ratio [m/z] 3893, 10576 and 14175 Da) were identified as potential biomarkers for osteoarthritis. The ANN differentiated between osteoarthritis and rheumatoid arthritis with a sensitivity of 89.4% and a specificity of 91.2%. The protein peak at m/z 10 576 was identified as S100 calcium binding protein A12 (S100A12).Conclusions: A combination of SELDI-TOF-MS and ANN identified osteoarthritis biomarkers. SELDI-TOF-MS may be a useful tool in the screening of synovial fluid for osteoarthritis diagnosis.