Regulation of Estrogen Receptor Concentrations in the Rat Brain: Effects of Sustained Androgen and Estrogen Exposure
Bibliographic record
Abstract
To determine whether estrogen and androgens either alone or in combination downregulate estrogen receptors in the brain, ovariectomized/adrenalectomized female rats received one of the following four treatments: (1) one subcutaneously placed Silastic capsule containing 10% estradiol in cholesterol, (2) one capsule containing 10% estradiol and two capsules containing 100% 5 alpha-dihydrotestosterone (DHT), (3) two capsules containing DHT, or (4) empty Silastic capsules (control animals). Animals were killed 4 or 8 days after capsule insertion and the occupied, unoccupied and total estrogen receptor content in specific brain nuclei was determined by quantitative in vitro autoradiography. To determine if the effects of the androgen were reversible, DHT capsules were removed after 4 days from half of the estradiol+DHT-treated rats, and the animals were killed 4 days later. Estradiol downregulated estrogen receptor expression in the periventricular preoptic area, medial preoptic area, bed nucleus of the stria terminalis (BNST), arcuate nucleus (ARC), ventromedial nucleus (VMN), and medial and cortical amygdala, decreasing receptor content by 30-41% in animals treated for 4 days, and by 44-60% in animals treated for 8 days with estradiol alone. DHT treatment in combination with estradiol further decreased estrogen receptor content in the BNST, ARC and VMN, relative to the estradiol-only animals. DHT in the absence of estrogen was without effect. In animals in which the DHT capsules were removed after 4 days of exposure, allowing the estradiol to remain for a further 4 days, estrogen receptor levels were indistinguishable from those measured in control animals treated for 8 days with estradiol alone. These results demonstrate that sustained estrogen exposure downregulates levels of estrogen receptor in the brain and confirm that DHT synergizes with estrogen in inducing this response in some, but not all, target neuronal groups.
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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) | 0.001 | 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".