Gamma-Aminobutyric Acid Is not Likely a Physiological Prolactin-Inhibiting Factor
Why this work is in the frame
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Bibliographic record
Abstract
Basal plasma prolactin concentration is controlled by tonic inhibition. The major prolactin-inhibiting factor (PIF) is believed to be dopamine. Factors other than dopamine have also been suggested as possible physiological PIF. One of the major candidates for the nondopaminergic PIF is considered to be gamma-aminobutyric acid (GABA). We have carefully examined the possible physiological role of GABA by monitoring, at every 2 min, the circulating prolactin concentration after GABA administration, in conscious freely moving rats. GABA (0.1 or 1 g/kg) had no significant direct effect on plasma prolactin in rats in which the dopaminergic receptors were completely blocked by pimozide, nor in hypophysectomized rats in which a pituitary had been grafted under the kidney capsule and was therefore removed from any hypothalamic influence. The effects of bicuculline, a GABA-receptor-blocking agent, was examined in order to find out whether a tonic inhibition is exerted by GABA after elimination of tonic dopaminergic inhibition on prolactin secretion. The pimozide-treated rat in which the dopaminergic tone is completely eliminated did not show any prominent elevation of plasma prolactin concentration after bicuculline (300 micrograms/kg) administration. However, GABA did have an inhibitory effect in a primary pituitary cell monolayer culture system. Therefore, we conclude that GABA does not play a significant role as a physiological PIF and that the inhibitory effect of GABA in vitro is of a pharmacological nature.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 0.002 |
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 it