Regional and temporal regulation of prostaglandin E2 receptor expression: a role for decidual activation in term labor (911.7)
Bibliographic record
Abstract
Objective: To assess if expression of prostaglandin E2 receptors (EP1, EP2, EP3 and EP4) are spatially or temporally regulated in decidua with labour onset. Methods: Decidua biopsies from caesarean section deliveries, of labouring (TL) and non‐labouring (TNL) women and from both upper (US) and lower segment (LS) regions of the uterus were collected (n=12/group). Real‐time RT‐PCR was used to quantify levels of EP1‐4 gene expression. Results: All four EPs are expressed in US and LS decidua. Expression of EP1, EP2, and EP4 is higher in LS compared to US in TNL decidua, but did not change with labor initiation. In contrast, EP3 was significantly higher than the other EP receptors in both US and LS in TNL decidua. The EP3 mRNA levels decrease in LS but not US decidua with labor initiation. Conclusions: The presence of four EP receptor subtypes within the decidua in labouring and non‐labouring women suggests that prostaglandin E2 plays an active biological role during pregnancy and labour via differential EP interaction. Our observation that EP3 levels change with labor onset suggests that EP3 are the predominant mediators of PGE2 activity in the decidua at term. These findings on differential EP regulation in decidua with labour are important for the understanding of the underlying mechanisms that govern uterine contractility and quiescence. Grant Funding Source : Supported by Canadian Institute of Health Research and Alberta Innovates‐Health Solutions
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".