AI Article Synopsis

  • The study examines how different levels of Th-17-related cytokines and circulating T-cells in patients with rheumatoid arthritis (RA) can predict their response to TNF-α inhibitor treatments like etanercept and adalimumab.
  • It involved 93 RA patients, measuring their plasma cytokines and T-cell populations both before and 4-6 months after starting treatment, using specific response criteria to categorize them as good or poor responders.
  • The results indicated that higher levels of plasma IL-23 and specific IL-17AIFNγ ex-Th17 cells are linked to better responses to treatment, suggesting these could be useful biomarkers for predicting treatment outcomes.

Article Abstract

Objectives: TNF-α inhibitors are widely used in rheumatoid arthritis (RA) with varying success. Response to TNF-α inhibition may reflect the evolution of rheumatoid inflammation through fluctuating stages of TNF-α dependence. Our aim was to assess plasma concentrations of Th-17-related cytokines and the presence of circulating effector T-cells to identify predictors of response to TNF-α inhibitors.

Methods: Ninety-three people with RA were seen prior to and 4-6 months after commencing etanercept or adalimumab. Plasma concentrations of Th17-related cytokines, circulating effector T-cells, their production of relevant transcription factors and intracellular cytokines were measured at baseline. EULAR response criteria were used to define poor (ΔDAS28 ≤ 1.2 and/or DAS28 > 3.2) and good (ΔDAS28 > 1.2 and DAS28 ≤ 3.2) responders. Multivariate logistic regression was used to identify predictors of response.

Results: Participants with plasma IL-23 present at baseline were more likely to be poor responders [15/20 (75%) of IL-23 versus 36/73 (49.3%) of IL-23; p = 0.041]. While frequencies of Th1, Th17, ex-Th17 and T cell populations were similar between good and poor responders to anti-TNF therapy, IL-17AIFNγ ex-Th17 cells were more prevalent in good responders (0.83% of ex-T17 cells) compared to poor responders (0.24% of ex-Th17 cells), p = 0.023. Both plasma IL-23 cytokine status (OR = 0.17 (95% CI 0.04-0.73)) and IL-17AIFNγ ex-Th17 cell frequency (OR = 1.64 (95% CI 1.06 to 2.54)) were independently associated with a good response to anti-TNF therapy. Receiver operator characteristic (ROC) analysis, including both parameters, demonstrated an area under the ROC curve (AUC) of 0.70 (95% CI 0.60-0.82; p = 0.001).

Conclusions: Plasma IL-23 and circulating IL-17AIFNγ ex-Th17 cells are independently associated with response to anti-TNF therapy. In combination, plasma IL-23 and circulating IL-17AIFNγ ex-Th17 cells provide additive value to the prediction of response to anti-TNF therapy in RA.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881822PMC
http://dx.doi.org/10.1186/s13075-022-02748-3DOI Listing

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