Effects of Chronic Bromocriptine Treatment of an Estrone-Induced, Prolactin-Secreting Rat Pituitary Adenoma
Bibliographic record
Abstract
Bromocriptine (BROM), a dopamine (DA) agonist, is commonly and successfully used for long-term treatment of human prolactinomas. We have studied the effects of chronic BROM administration to female 344 Fisher/Lis rats bearing an estrone-induced, prolactin (PRL)-secreting pituitary tumor recently characterized as a model for human prolactinoma. The animals were injected twice daily with BROM (2.5 mg/kg) or with diluent. After 1 month of treatment, the animals were sacrificed, and plasma collected and stored at -20 degrees C for PRL radioimmunoassay. The pituitary tumors were removed and tumoral mammotrophs dispersed enzymatically for studies of DA receptor binding and PRL release in vitro. BROM treatment significantly reduced tumor weight, cell size, rough endoplasmic reticulum, Golgi complexes and plasma PRL levels. [3H]-spiroperidol binding to tumoral mammotrophs was also evaluated. BROM induced a significant decrease in the number of DA binding sites without any changes in affinity. These results indicate that chronic BROM treatment of an animal model of prolactinoma induces tumor involution, reduction of PRL release and probably synthesis, and down regulation of dopaminergic binding sites.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".