Estradiol Negative Feedback Regulation by Glutamatergic Afferents to A15 Dopaminergic Neurons: Variation with Season
Bibliographic record
Abstract
It is now clear that seasonal breeding in ewes is due to an increase in response to estradiol (E(2)) negative feedback in the nonbreeding season (anestrus) that is mediated by the A15 group of dopaminergic (DA) neurons. Because A15 cells do not contain estrogen receptors, we have postulated the presence of estrogen-responsive afferents and recently reported evidence that input from neurons containing gamma-aminobutyric acid (GABA) contribute to the control of A15 activity by E(2). However, GABAergic afferents account for only a fraction of A15 synaptic input and do not appear to vary with season. We therefore investigated the possible role of stimulatory glutamatergic input to A15 neurons. In experiments 1 and 2, local administration into the A15 of either a N-methyl-D-aspartate (NMDA) receptor or a kainate/alpha-amino-3-hydroxyl-5-methyl-4-isoxazole-propionate (AMPA) receptor antagonist stimulated episodic LH secretion in a dose-dependent manner in ovary-intact anestrous ewes. In experiment 3, we examined the number of glutamatergic close contacts onto A15 neurons using dual immunocytochemistry in tissue from E(2)-treated ovariectomized anestrous and breeding season ewes. All A15 DA neurons were contacted by glutamatergic vesicles, and the number of close contacts was significantly higher in anestrus than the breeding season. Finally, using a triple-label immunocytochemistry procedure, we did not observe any colocalization of markers for GABA and glutamate in vesicles contacting A15 neurons. These results support the hypothesis that glutamatergic afferents actively stimulate A15 DA neurons in ovary-intact anestrous ewes and raise the possibility that alterations in this input may contribute to increased A15 neural activity during anestrus.
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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 | 0.000 |
| 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 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".