Proinflammatory S100 proteins as clinical markers of juvenile idiopathic arthritis

Skirmantė Rusonienė, Violeta Panavienė, Audronė Eidukaitė, Marija Jakutovič

Abstract


Objectives. Proteins of the S100 family (S100A8/9, or calprotectin) are known to be useful diasease activity biomarkers of JIA. We hypothesize that titres calprotectin in serum and synovial fluid of children with acute and unconfirmed inflammatory joint symptoms will identify patients who will progress to JIA and our aim is to examine its prognostic value.
Methods. A standardized diagnostic evaluation and analysis of serum S100A8/A9 was performed in 115 children with acute (symptoms up to 6 weeks) arthritis as well as in 59 healthy individuals. 47 arthritis patients underwent joint fluid aspiration and samples were collected at the time of presentation. Proteins in serum and synovial fluid were measured by ELISA and compared by the unpaired t test. Arthritis outcome (chronic or transient arthritis) was recorded at 1- and 2-year follow-up periods. JIA diagnosis, disease activity and remission were established according to ILAR and ACR recommendations.
Results. The levels of serum and synovial fluid S100A8/A9 were significantly higher in patients with arthritis compared to the levels in healthy individuals (p < 0.0001). Serum calprotectin correlated well with disease activity (r  =  0.539, p  <  0.05) and the level in synovial fluid (r  =  0.598, p < 0.001). A binary logistic regression model showed that high level of calprotectin predicted chronic arthritis development together with the presence of morning stiffness and higher swollen joint count at the baseline (p < 0.001).
Conclusions. We have demonstrated that high levels of baseline serum S100A8/A9 (calprotectin) have a prognostic value in predicting a group of patients who following the onset of arthritis will have a chronic disease from those with transient and self-limiting disease.

Keywords


juvenile idiopathic arthritis; S100 proteins; calprotectin; serum and synovial fluid; outcome; predictors

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DOI: https://doi.org/10.6001/actamedica.v21i3.3000

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ISSN 1392-0138 (Print)
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