Selective estrogen receptor‐α but not ‐β agonist treatment modulates brain α‐amino‐3‐hydroxy‐5‐methyl‐4‐isoxazolepropionic acid receptors
Bibliographic record
Abstract
Estradiol was previously reported to decrease brain alpha-amino-3-hydroxy-5-methyl-4-isoxazoleproprionic acid (AMPA)-receptor-specific binding. The contributions of estrogen receptor subtypes in the estradiol modulation of AMPA receptors and its predominant subunit GluR2 are unknown. These experiments investigated whether an estrogenic receptor subtype is involved in the estradiol effect on AMPA-receptor-specific binding and GluR2 mRNA levels. Ovariectomized Sprague-Dawley rats were treated 2 days after ovariectomy for 2 weeks with 17beta-estradiol, an agonist for ERalpha 4,4',4''-(4-propyl-[1H]-pyrazole-1,3,5-triyl)trisphenol (PPT), or an agonist for ERbeta 2,3-bis(4-hydroxyphenyl)-propionitrile (DPN) and compared with intact control rats. Uterus weights, used as aperipheral measure of estrogenic activity, were decreased after ovariectomy and increased by estradiol and PPT but not DPN treatments. In prefrontal and cingulate cortices, the striatum, and the nucleus accumbens, ovariectomy increased [3H]AMPA-specific binding compared with intact controls, which was corrected by estradiol treatment. In all these brain regions, PPT, but not DPN, mimicked the estradiol decrease of AMPA-receptor-specific binding; in the cingulate cortex, the effect of PPT did not reach statistical significance. GluR2 mRNA levels of vehicle-treated ovariectomized rats remained unchanged compared with intact rats in the brain regions investigated. Estradiol and PPT treatment but not DPN decreased GluR2 subunit mRNA levels in the prefrontal cortex and the striatum of ovariectomized rats, whereas no significant change was observed in the cingulate cortex or the nucleus accumbens. The present results suggest that an ERalpha is involved in the estradiol modulation of AMPA receptors in the cortex, striatum, and nucleus accumbens.
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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) | 0.002 | 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".