Mouse Placental Prostaglandins Are Associated with Uterine Activation and the Timing of Birth1
Bibliographic record
Abstract
We explored a potential mechanism linking placental prostaglandins (PGs) with a fall in plasma progesterone and increased expression of uterine activation proteins in the mouse. PG endoperoxide H synthase 2 (PGHS-2) mRNA expression increased in placenta in late gestation in association with an 8-fold increase in PGF(2alpha) concentration, reaching a peak on Gestational Day (GD) 18. This peak coincided with the final descent in plasma progesterone and birth on GD 19.3 +/- 0.2. Implantation of a progesterone-releasing pellet in intact pregnant dams on GD 16 delayed birth at term until GD 20.9 +/- 0.4 and inhibited the GD 18 increase in placental PGF(2alpha) levels in conjunction with a delayed fall in plasma progesterone that reached its lowest level 1 day after term birth. The mRNA levels of uterine activation proteins, connexin-43 (CX-43), oxytocin receptor, PGF(2alpha) receptor (FP), and PGHS-2, and the concentration of uterine PGF(2alpha) all increased at normal term birth. At progesterone-delayed term birth on GD 19.3, even though tissue PGF(2alpha) concentrations were at the same high levels observed at normal term birth, CX-43 and FP mRNA levels were lower than those at normal term birth, thereby possibly contributing to the delay of birth. These data are consistent with the hypotheses that fetal placental PGs affect the timing of birth by hastening luteolysis, that uterine activation initiates labor, and that birth may be delayed by blocking or decreasing the expression of two of the uterine activation proteins.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| 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".