Inflammatory and bone biomarkers/composites as a predictive tool for clinical characteristics of rheumatoid arthritis patients

Rheumatoid arthritis (RA) is related to alterations in different inflammatory and connective tissue biomarkers. The diagnostic values the factors affecting these biomarkers are conflicting. In present study, a bone-related composite (B-composite), made from z-score of stromelysin-1 (MMP3), colony-stimulating factor 2 (CSF2), osteopontin (OPN), I-composite, reflecting immune activation, tumor necrosis factor-α (TNFα), interferon-γ (INFγ), vascular endothelial growth factor-A (VEGF) were examined RA patients. measured by ELISA technique 102 patients 58 age-matched healthy control subjects. Serum MMP3, TNFα, IFNγ, CSF2 showed significant elevation Multivariate general linear model (GLM) analysis revealed high effect diagnosis on biomarkers' level (partial η2 = 0.415). Duration disease significantly associated with VEGF, OPN, B-composite negatively correlated TNFα. CRP. A fraction DAS28 score variance can be explained regression zlnINFγ. CRP was zlnOPN B-composite. More than half anti-citrullinated protein antibodies (ACPA) variation serum MMP3 I-composite. top 3 sensitive predictors for INFγ, duration At same time, I-composite ACPA level. biomarker composites have potential use as characteristic