IL-17 Production by γδ+ T Cells Is Critical for Inducing Th17 Responses in the Female Genital Tract and Regulated by Estradiol and Microbiota
Bibliographic record
Abstract
Abstract IL-17 can be produced by adaptive immune cells such as Th17 cells and by immune cells that produce IL-17 without prior priming. This latter category, which we will refer to as “innate,” includes innate cells such as NK cells and innate lymphoid cells and innate-like T cell populations such as NKT cells and γδ+ T cells. Studies in mucosal tissues have shown that the induction of Th17 immunity is amplified by innate IL-17 produced within those tissues. However, the role of innate IL-17 and its effect on Th17 induction in the female genital tract (FGT) is largely unknown. In this study, we characterize the primary source of IL-17–secreting vaginal cells and show that innate IL-17 plays a critical role in priming adaptive Th17 responses in the FGT. Under homeostatic conditions, γδ+ T cells were the predominant source of innate IL-17 in the murine FGT, and this population was modulated by both the sex hormone estradiol and the presence of commensal microbiota. Compared with wild-type C57BL/6 mice, vaginal APCs isolated from IL-17A–deficient (IL-17A−/−) mice were severely impaired at priming Th17 responses in APC–T cell cocultures. Furthermore, the defect in Th17 induction in the absence of innate IL-17 was associated with impairment of IL-1β production by vaginal CD11c+ dendritic cells. Overall, our study describes a novel role for IL-17 in the FGT and further demonstrates the importance of factors in the vaginal microenvironment that can influence adaptive immune responses.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".