Effects of Chronic Immobilization Stress on Pituitary Hormone Secretion, on Hypothalamic Factor Levels, and on Pituitary Responsiveness to LHRH and TRH in Female Rats
Bibliographic record
Abstract
The effects of 8 h of daily immobilization applied for 10 consecutive days on pituitary and plasma levels of anterior pituitary (AP) hormones as well as on TRH, LHRH and somatostatin (SRIF) content in the hypothalamus, amygdala and forebrain were studied in adult female rats. The in vivo pituitary responsiveness to intraventricular injections of LHRH combined with TRH was also tested in groups of rats submitted to the same stress procedure. Long-term intermittent immobilization stress markedly reduced GH, LH, PRL and TSH plasma levell, while FSH titers were not modified. Parallel to these variations, FSH and LH pituitary levels increased, while those of GH, PRL and TSH remained unchanged. No modification of hypothalamic or amygdala TRH, LHRH or SRIF content have been observed, whereas forebrain TRH levels decreased significantly. In nonstressed animals, LHRH + TRH significantly increased LH and TSH plasma levels and decreased those of PRL, FSH and GH. In immobilized rats, the hypothalamic factors further stimulated the secretion of LH and TSH, released FSH and PRL, and had a greater inhibiting effect on plasma GH levels. These results indicate that chronic stress-induced decreases in plasma AP hormone levels are not associated with a diminished pituitary responsiveness to releasing factors, nor with modification of hypothalamic factor content. Furthermore, the enhanced liberation of LH, and the release of FSH after LHRH + TRH administration during stress could be secondary to the increased pituitary content of these hormones.
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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 | 0.000 | 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) | 0.001 | 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".