Increased cartilage turnover and circulating autoantibodies in different subsets before the clinical onset of rheumatoid arthritis.

Carl Turesson, Ulf Bergström, Lennart Jacobsson, Lennart Truedsson, Göran Berglund, Tore Saxne

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: /st> Previous studies have indicated that autoantibodies may be detected years before the clinical onset of rheumatoid arthritis (RA). Cartilage biomarkers, such as cartilage oligomeric matrix protein (COMP), have not been studied previously in samples collected before the diagnosis of RA. METHODS: /st> Between 1991 and 1996, 30 447 subjects were included in the Malmö Diet Cancer Study (MDCS). People who developed RA after inclusion were identified by linking the MDCS database to different Swedish registers. One matched control for each validated case was selected from the MDCS. IgG antibodies against cyclic citrullinated peptide (anti-CCP) and mutated citrullinated vimentin (anti-MCV) and IgM rheumatoid factor (IgM RF) were determined by ELISA. Serum COMP was measured with a sandwich ELISA. RESULTS: /st> 172 incident cases of RA (median time from inclusion to diagnosis 5 years; range 1-13) were identified. Pre-RA cases were significantly more likely than controls to be positive for anti-CCP (21.9% vs 0.6%), anti-MCV (29.6% vs 3.0%) and IgM RF (18.9% vs 2.4%) (all p<0.001). Overall, mean serum COMP levels did not differ between cases and controls. Among pre-RA cases included 1-3 years before diagnosis, raised COMP (>12 U/l) was seen in a greater proportion of anti-CCP-negative than anti-CCP-positive subjects (50% vs 15%; p=0.04). CONCLUSIONS: /st> Increased cartilage turnover, measured by COMP, and circulating RA-specific antibodies may be distinct processes in the preclinical phase of RA.
Original languageEnglish
Pages (from-to)520-522
JournalAnnals of the Rheumatic Diseases
VolumeDec
DOIs
Publication statusPublished - 2011

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Subject classification (UKÄ)

  • Clinical Medicine

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