Neuroanatomical Substrate for the Inhibition of Gonadotrophin Secretion in Goldfish: Existence of a Dopaminergic Preoptico-Hypophyseal Pathway
Bibliographic record
Abstract
To investigate the existence of a dopaminergic preoptico-hypophyseal pathway in the goldfish, electrolytic lesions were placed in the rostral preoptic area and their effects on gonadotrophin levels and pituitary innervation examined. In a first experiment, the fish were sacrificed 2 days after surgery and the pituitary studied by electron microscopy. Numerous exocytosis profiles were observed in the gonadotrophs, confirming the large increase in serum gonadotrophin levels measured in the animals. In addition, type A and B degenerating fibers were detected in the neurohypophysis and the pars distalis, in particular at the level of the gonadotrophs. In the second experiment, the distribution of tyrosine hydroxylase-immunopositive fibers was studied in the pituitary of controls and lesioned animals. It was found that lesioning the anterior ventral preoptic region resulted in the disappearance of all positive fibers in the pars distalis, while those in the neurointermediate lobe appeared unaffected. The presence of a large group of catecholaminergic perikarya in the destroyed area was confirmed in control animals. These results and other data strongly support the existence of a dopaminergic preoptico-hypophyseal pathway, providing a morphological support for the inhibitory effect of dopamine on the release of anterior pituitary hormones in teleosts, in particular gonadotrophin.
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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".