Tracking levels of key biomarkers reflects disease activity and progression of rheumatoid arthritis

Over the 12-month study period, levels of the serological biomarkers sYKL-40 and sMMP3 were consistently associated with three measures of disease activity: MRI (RAMRIS (RA MRI score) synovitis score and RAMRIS bone marrow oedema score) and clinical scores (DAS28*) of inflammation (p<0.05), when the analyses were corrected for age, gender, c-reactive protein (crp, a marker for inflammation) levels and treatment type. the bone marker sctx1 and the cartilage marker uctxii were also shown to be predictors of erosive progression (ramris erosion score; beta 2.42 (95%ci 0.48-4.36)).

Dr Silje Syversen of Diakonhjemmet Hospital, Norway, who led the study, said: "Disease monitoring in RA can be problematic and patients 'at-risk' of future irreversible joint destruction can go undetected. Current predictors of joint destruction such as radiographic abnormalities are signs of later-stage disease development. Biomarkers could offer a novel, more sensitive, rapid and reliable approach to disease monitoring and prediction, and importantly could be useful predictors of bone and cartilage damage before such abnormalities have occurred."

In the study, 84 patients with early RA (disease duration <1 year, mean age 58.4 years, 73.9% females, 55% anti-cyclic citrullinated peptide antibodies (acpa) positive) were assessed at baseline, 3, 6 and 12 months including clinical examination, conventional radiographs (cr) of the hands and mri scans of the dominant wrist. ramris score (erosions range 0-150, synovitis range 0-9 and bone marrow oedema range 0-45) was used to evaluate mri images and the van der heijde modified sharp score (vdhss) was used for for the crs.

Longitudinal associations between a panel of biomarkers (CRP, sOPG, sRANKL, sCTX1, uCTXII, sYKL40, sCOMP and sMMP3), in serum and urine, were explored by multiple linear mixed model analyses for repeated measures, and multiple linear and logistic regression analyses were used to identify predictors of progression of damage assessed by MRI and CR, respectively.

Source: European League Against Rheumatism