Tofacitinib inhibits CD4 T cell polarisation to Th1 during priming thereby leading to clinical impact in a model of experimental arthritis
Bibliographic record
Abstract
OBJECTIVES: Janus kinases (JAK) are key cell membrane orientated tyrosine kinases that regulate inflammatory responses by transducing signals received by cytokine receptors that directly influence the polarisation and function of Th cells. Tofacitinib is a pan-JAK inhibitor approved for the treatment of RA. In this study, we explored the effects of tofacitinib in the outcomes of CD4+ T cell-dendritic cell (DC) interactions and their impact in autoimmune arthritis. METHODS: The impact of tofacitinib in CD4+ T cell outcomes during priming or re-activation were analysed using antigen-specific in vitro and/or in vivo systems. A breach of self-tolerance model of arthritis was used to investigate the effects of tofacitinib in the outcomes of newly primed and antigen experienced CD4+ T cells. RESULTS: Tofacitinib inhibited Th1 polarisation during priming both in vitro and in vivo. In vitro, impaired T-bet expression and IFN-y production persisted upon secondary antigen challenge. Tofacitinib treatment during re-activation in vitro did not impact differentiation of antigen experienced CD4+ T cell towards Th1 phenotype. Moreover, JAK inhibition limited adaptive immune responses mediated by recently activated T cells and subsequent breach of self-tolerance in experimental arthritis. CONCLUSIONS: Our findings provide a novel mode of action for tofacitinib, demonstrating a potential therapeutic utility via homeostatic immune restoration in very early autoimmune arthritis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".