Development of a Novel Diagnostic Biomarker Set for Rheumatoid Arthritis Using a Proteomics Approach

Figure 4

Validation of 6 selected biomarker candidates by ELISA and ROC curves for multibiomarkers. (a–f) The 6 selected biomarkers candidates were measured in sera from healthy controls and RA patients. (g) ROC curve analysis for 3-biomarker set, including SAA4, gelsolin, and VDBP to evaluate the ability of the biomarkers to distinguish patients with RA from healthy controls. (h) AUCs. Plots indicate individual protein abundances in healthy controls and RA patients. Data are shown as mean ± SEM. p < 0.05 (independent t-test). ROC curves for selected 6 biomarker candidates were generated to evaluate the ability of the biomarkers to distinguish patients with RA from healthy control.