Effect of Progesterone Withdrawal on Hypothalamic Mechanisms Related to Prolactin Release in Late Pregnant Rats
Bibliographic record
Abstract
BACKGROUND/AIMS: Progesterone (P(4)) fall provoked by spontaneous or prostaglandin F2α (PGF2α)-induced luteolysis in late pregnant rats triggers a prolactin (PRL) surge 12-24 h later. METHODS: To investigate the hypothalamic mechanism mediating this response, we determined expression of tyrosine hydroxylase (TH), PRL receptors (long form, PRLR(long)), estrogen-α (ERα) and ERβ, P(4) (PR) A and B receptors, and STAT5a, STAT5b, suppressors of cytokine signaling 1 (SOCS1), SOCS3 and CIS at mRNA (by semiquantitative and real-time RT-PCR) and protein (by Western blot only for TH, ERα and PRs) levels, and dopamine and DOPAC (by high-performance liquid chromatography) contents in the mediobasal hypothalamus (MBH) 24 h after luteolysis induced by a PGF2α analogue (cloprostenol, 25 μg/rat s.c. at 8 and 12 h on day 19 of pregnancy). RESULTS: PGF2α treatment decreased circulating P(4) and estradiol and increased PRL and the estradiol/P(4) ratio. MBH DOPAC and DOPAC/dopamine ratio fell, indicating decreased dopaminergic transmission. PRLR(long), PRB and ERα mRNA increased. ERα and PR proteins were not modified. However, TH protein and mRNA did not change. PRA, the small PR isoform, was much more abundant than PRB, the isoform considered to mediate P(4) genomic actions. STAT5a, SOCS1 and SOCS3 mRNA were also increased. CONCLUSION: The P(4) fall induced by PGF2α treatment induces PRL release through diminution in MBH dopaminergic transmission without change in TH expression. The increased PRLR along with elevated circulating PRL may be responsible for maintaining high TH expression through activation of short-loop feedback mechanisms, counteracting the effect of the fall in circulating P(4). In parallel, SOCS expression contributes to limit PRL signaling.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".