Effects of Anterior Hypothalamic Deafferentation and Neonatal Monosodium-L-Glutamate Treatment on Pulsatile LH Secretion in the Castrated Rat
Bibliographic record
Abstract
Previous research has shown that electrolytic lesions of the anterior arcuate nuclei combined with anterior hypothalamic deafferentation (AHD) blocked pulsatile luteinizing hormone (LH) release in the ovariectomized rat, but that neither lesion was sufficient by itself. This led to the hypothesis that two separate neural pathways were capable of effecting pulsatile LH secretion, which was tested in another way in the present study. Newborn rats were injected with monosodium glutamate (MSG), a treatment which damages the arcuate nuclei, or NaCl of the same osmolarity as a control. As adults, the rats were gonadectomized and 2 weeks later, AHD or sham AHD was performed. One week after that, the rats were catheterized, and small blood samples were taken every 5 min for 3 h. Plasma was assayed for LH by radioimmunoassay. Neither MSG alone, AHD alone, nor the combination affected the number of animals with pulsatile LH patterns. In female rats, MSG treatment slightly decreased pulse frequency, while AHD depressed mean LH levels in male rats. No differences were seen in LH pulse amplitude. These results suggest either that MSG spares those neurons of the arcuate nuclei which are important for LH secretion, that electrolytic lesions of the arcuate nuclei destroy fibres of passage which are important for LH release, or that functional reorganization of the systems controlling LH release occurs following neonatal MSG treatment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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".