Accumulation of IL‐17<sup>+</sup> Vγ6<sup>+</sup> γδ T cells in pregnant mice is not associated with spontaneous abortion
Bibliographic record
Abstract
Abstract Introduction Pregnancy is an immune paradox. While the immune system is required for embryo implantation, placental development and progression of gestation, excessive inflammation is associated with pregnancy failure. Similarly, the cytokine IL ‐17A plays an important role in defence against extracellular pathogens, but its dysregulation can lead to pathogenic inflammation and tissue damage. Although expression of IL ‐17 has been reported during pregnancy, the cellular source of this cytokine and its relevance to gestation are not clear. Objectives Here we define the kinetics and cellular source of IL ‐17A in the uterus during healthy and abortion‐prone murine pregnancy. Methods The CBA /J x DBA /2J abortion‐prone mating was used and compared to CBA /J x BALB /c control mating. Results We demonstrate that, irrespective of gestational health, the number of IL ‐17‐producing cells peaks during midterm pregnancy and is largely derived from the γδ T‐cell lineage. We identify γδ T, Th17, CD 8 T and NKT cells as the cellular source of IL ‐17A in pregnant mice. Furthermore, we positively identify the Vγ6 + subset of uterine γδ T cells as the main producer of IL ‐17A during both healthy pregnancy and abortive pregnancy. Conclusions To conclude, the accumulation of uterine IL ‐17 + innate‐like T cells appears not to adversely impact the developing foetus. Collectively, our results show that IL ‐17 + γδ T cells are present in the uterus throughout the course of normal gestation and therefore may play an important role in healthy pregnancy.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".