Pro‐inflammatory signals induce 20α‐HSD expression in myometrial cells: A key mechanism for local progesterone withdrawal
Bibliographic record
Abstract
Metabolism of progesterone (P4) by the enzyme 20α hydroxysteroid dehydrogenase (20α-HSD) in myometrial cells is postulated to be a mechanism for P4 withdrawal, which occurs concomitant to uterine inflammation (physiologic or infection-induced) and associated activation of transcription factors: NF-кB and AP-1, common to term and preterm labour. We found that 20α-HSD protein is significantly increased in human myometrium during term labour, and in mouse uterus during term and preterm labour. Treatment of human myometrial cells with the pro-inflammatory mediators, lipopolysaccharide (LPS, mimicking infection) and 12-O-tetradecanoylphorbol-13-acetate (TPA, mimicking inflammation), induced 20α-HSD gene expression and increased 20α-HSD protein abundance. LPS treatment decreased P4 release into the culture medium and resulted in up-regulation of GJA1 in the hTERT-HM cells. The NF-кB /AP-1 transcription factors mediated effects of LPS and TPA on 20α-HSD gene transcription. Both pro-inflammatory stimuli induced 20α-HSD promoter activity in LPS/TPA-treated cells which was significantly attenuated by inhibition of NF-кB (JSH: 20 µM) or AP-1 signalling (T5224: 10 µM). Deletion of NF-кB consensus sites abrogated LPS-mediated promoter induction, while removal of AP-1 sites reversed the TPA-mediated induction of 20α-HSD promoter. We conclude that inflammatory stimuli (physiologic or pathologic) that activate NF-кB or AP-1 induce 20α-HSD transcription and subsequent local P4 withdrawal resulting in up-regulation of GJA1 and activation of myometrium that precedes labour.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".