Influence of GABA on Gonadotrophin Release in the Goldfish
Bibliographic record
Abstract
The influence of GABA on pituitary gonadotrophin (GTH) release in the goldfish was studied by means of in vivo and in vitro techniques. It was found that GABA injected intraperitoneally caused an increase of serum GTH levels in regressed or early maturing fish, but not in late maturing animals. Moreover, injection of a GABA transaminase inhibitor caused a significant increase of GABA within the hypothalamus and pituitary, and a dose-dependent increase in serum GTH levels. To determine if this effect could be exerted directly at the level of the pituitary, dispersed pituitary cells in static incubation or in perifusion were exposed to increasing concentrations of GABA or its agonists muscimol and baclofen. None of these drugs was able to modify the spontaneous or GnRH-induced secretion of GTH, indicating that the in vivo effect of GABA was most likely mediated via another hypothalamic factor. Using in vitro incubation of pituitary slices, it was found that GABA caused a dose-related stimulation of GnRH release at the level of the pituitary, providing a possible explanation for the observed in vivo stimulatory effect of GABA on GTH release. Since the seasonal effect of GABA in vivo indicated a possible interaction of GABA with sexual steroids, GABA was given intraperitoneally to female goldfish implanted with either testosterone or estradiol. We found that the stimulatory effect of GABA on GTH release was abolished in estradiol-treated females but was still observed in testosterone-implanted fish. Moreover, estradiol but not testosterone caused a decrease of the GABA concentration within the telencephalon. Taken together, these data indicate that GABA is involved in the regulation of GTH secretion in the goldfish, possibly by stimulating the release of GnRH from the pituitary, an effect that appeared to be modulated by estrogens. The inhibitory effects of estrogens on GABA actions may be part of the mechanism of estrogen negative feedback on the brain-pituitary axis.
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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) | 0.001 | 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".