Effect of Long-Term Treatment with the Antiestrogen EM-652.HCl on Pituitary Estrogen Receptor Alpha and Prolactin mRNA Expression in Intact, Ovariectomized and Gonadotropin- Releasing Hormone-Treated Female Rats
Bibliographic record
Abstract
Estrogen receptor alpha (ERalpha) is the predominant estrogen receptor subtype in the anterior pituitary gland. In order to assess the influence of the pure antiestrogen EM-652.HCl on ERalpha gene transcription, we have studied the effect of long-term administration of the antiestrogen in ovariectomized rats as well as in intact female rats treated or not with the GnRH-agonist D-trp(6), des-Gly-NH2(10) GnRH ethylamide (GnRH-A), a treatment which induces pharmacological castration. To evaluate the degree of pituitary responsiveness to changes in estrogen exposure, prolactin (PRL) mRNA levels were also measured. ERalpha and PRL mRNA levels were evaluated by quantitative in situ hybridization. It was found that, 49 weeks after ovariectomy (OVX), pituitary ERalpha mRNA levels were decreased by 55%. Long-term administration (49 weeks) of EM-652.HCl to OVX animals resulted in a further 41% decrease in ERalpha mRNA. On the other hand, ovariectomy induced an 82% decrease in PRL mRNA levels while the administration of EM-652.HCl to OVX animals did not further decrease PRL mRNA. The administration of EM.652.HCl or GnRH-A alone to intact rats during 52 weeks did not significantly modify pituitary ERalpha mRNA levels. Concomitant administration of both GnRH-A and EM-652.HCl induced 41 and 47% decreases in ERalpha mRNA levels, when compared to the levels measured in vehicle-treated and GnRH-treated animals respectively. Combined administration of EM.652.HCl and GnRH-A induced 56 and 65% decreases in PRL mRNA, respectively. When EM-652.HCl was administered concomitantly with GnRH-A, the inhibitory effect on PRL mRNA levels was more marked than that observed in GnRH-A-treated animals. The present data demonstrate that when circulating estrogens are absent or maintained at very low levels by GnRH administration, EM-652.HCl can still depress ERalpha gene transcription. It is suggested that estrogens can positively regulate pituitary ERalpha gene transcription and that the antiestrogen EM-652.HCl can downregulate by itself pituitary ERalpha gene transcription.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".