Sex Bias in IL-10 Production by Type I Regulatory T Cells Regulated by PI3K/mTOR Signaling
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Multiple sclerosis (MS) is more prevalent in women, with a female-to-male ratio of 3:1. The molecular mechanisms driving this sex difference are still mostly unknown. MS results from immune dysfunction, with an imbalance in effector and regulatory T cells. Among the latter, Type I regulatory T cells (Tr1) are dysfunctional in people with MS (pwMS), secreting less IL-10, a potent anti-inflammatory cytokine, than in healthy donors. Our objectives were to explore the effect of biological sex on Tr1 cell differentiation in healthy donors and pwMS. METHODS: T cells were isolated from peripheral blood mononuclear cells, and Tr1 differentiation was induced by costimulation with the complement regulator CD46 or IL-27. The frequency of Tr1 cells and their production of IL-10 and IFN-γ were examined. The impact of the PI3K/mTOR pathway on male and female Tr1 cells was also studied. RESULTS: = 0.0043), while increasing IL-10 levels in the CD46 pathway in both sexes (8 men and 11 women). DISCUSSION: We demonstrate that sex influences IL-10 production by Tr1 cells via the PI3K pathway, potentially contributing to the greater susceptibility of women to MS. Furthermore, our data suggest that targeting PI3Kδ may represent a novel therapeutic strategy to boost IL-10 production in female pwMS.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".