Parathyroid Hormone-Related Protein Treatment of Pregnant Rats Delays the Increase in Connexin 43 and Oxytocin Receptor Expression in the Myometrium1
Bibliographic record
Abstract
Myometrial quiescence during pregnancy is maintained by progesterone, which suppresses the expression of labor-associated genes such as connexin 43 (Cx43) and the oxytocin receptor (OTR). Parathyroid hormone-related protein (PTHrP) is a smooth muscle relaxant that inhibits myometrial contractions and therefore may act in synergy with progesterone to maintain myometrial quiescence during late pregnancy. We investigated the possibility that PTHrP, like progesterone, could act to suppress the expression of labor-associated genes. Pregnant rats were treated starting on Day 19 with daily i.p. injections of 100 microg/kg PTHrP (human synthetic fragment 1-34). On Day 22 of gestation, there was a significant reduction in the expression of Cx43 (mRNA and protein) and OTR (mRNA) in the myometrium of PTHrP-treated animals, whereas on Day 23 (labor) the expression of both Cx43 and OTR was unchanged by PTHrP treatment. Treatment of pregnant rats with PTHrP did not affect the time of delivery, concentrations of progesterone in maternal plasma, or levels of c-fos, fra-2, or parathyroid hormone/PTHrP receptor mRNA on any gestational day. Because PTHrP treatment delayed the dramatic increase in the expression of Cx43 and OTR, it may be an important factor in the maintenance of the quiescent state of the myometrium at a time when the concentrations of progesterone in maternal circulation decrease. PTHrP treatment did not prevent the increase in Cx43 and OTR gene expression on Day 23 or the timing of labor, suggesting that the effects of PTHrP signaling are overridden with the onset of labor.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".