Using SELDI-TOF MS to identify serum biomarkers of rheumatoid arthritis

Scandinavian Journal of Rheumatology
W LiuY Li

Abstract

No satisfactory biomarkers are currently available to screen for rheumatoid arthritis (RA). We have developed and evaluated surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) for detection and analysis of multiple proteins for distinguishing individuals with RA from control individuals. A total of 156 serum samples from 90 RA patients, 30 patients with ankylosing spondylitis (AS), and 36 healthy individuals were examined by SELDI technology. Spectral data were analysed by the support vector machine (SVM) approach and potential biomarkers were chosen for system training and were used to construct a diagnostic model. Pattern 1, consisting of four protein peaks with m/z values of 3899, 4594, 7566, and 13,842, distinguished RA from the healthy samples with sensitivity of 90.0% and a specificity of 91.7%. Pattern 2, consisting of m/z peaks 4287 and 6471, distinguished RA from AS with a sensitivity of 86.7% and a specificity of 85.0%. The combination of SELDI-TOF MS and SVM could facilitate the discovery of better biomarkers for RA and also provide a useful tool for molecular diagnosis in the future.

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Citations

Jan 31, 2016·Clinica Chimica Acta; International Journal of Clinical Chemistry·Hong-Wei ZhangYong-Lun Hang
Aug 8, 2015·International Journal of Rheumatic Diseases·Yuhui LiZhanguo Li
Mar 3, 2010·Immunological Reviews·Gethin P Thomas, Matthew A Brown
Jun 19, 2009·Journal of Experimental & Clinical Cancer Research : CR·Yuan-Jiao HuangJin-Min Zhao
Sep 1, 2011·Mass Spectrometry Reviews·Peihong ZhuJohn G Marshall

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