Central European Journal of Immunology (Oct 2017)

Autoantibodies, C-reactive protein, erythrocyte sedimentation rate and serum cytokine profiling in monitoring of early treatment

  • Edyta Brzustewicz,
  • Izabella Henc,
  • Agnieszka Daca,
  • Maria Szarecka,
  • Malgorzata Sochocka-Bykowska,
  • Jacek Witkowski,
  • Ewa Bryl

DOI
https://doi.org/10.5114/ceji.2017.70968
Journal volume & issue
Vol. 42, no. 3
pp. 259 – 268

Abstract

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Introduction: Currently used clinical scale and laboratory markers to monitor patients with early rheumatoid arthritis (RA) seem to be not sufficient. It has been demonstrated that disease- related cytokines may be elevated very early in RA development and cytokines are considered as the biomarkers potentially useful for RA monitoring. Material and methods : The group of patients with undifferentiated arthritis (UA) developing RA (UA→RA) was identified from a total of 121 people with arthralgia. UA→RA (n = 16) and healthy control (n = 16) subjects underwent clinical and laboratory evaluation, including acute phase reactants (APRs) and autoantibodies. Cytokines IFN-γ, IL-10, TNF, IL-17A, IL-6, IL-1b, IL-2 in sera were assayed using flow cytometric bead array test. Results : 34.5% of patients with UA developed RA. DAS28 reduced as early as 3 months after initiation of treatment. No DAS28 difference between groups of autoantibody (RF, anti-CCP, ANA-HEp-2) -positive and -negative patients was observed, however, comparing groups of anti-CCP and RF-double negative and -double positive patients, the trend of sooner clinical improvement was visible in the second abovementioned group. After the treatment introduction, the ESR level reduced significantly, while CRP level reduction was not significant. Serum cytokine levels of IL-10, IL-6 and IL-17A reduced after 6 months since introduction of treatment. The positive correlations between ESR, CRP and specific cytokine levels were observed. Conclusions : The autoantibody and APR profile is poorly connected with the RA course. The serum cytokine profile change in the course of RA and may be potentially used for optimization of RA monitoring.

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