Negative Regulation of Hypothalamic Growth Hormone-Releasing Factor Messenger Ribonucleic Acid by Growth Hormone and Insulin-Like Growth Factor I
Bibliographic record
Abstract
Increased growth hormone-releasing factor messenger ribonucleic acid (GRF mRNA) and decreased somatostatin (SRIF) mRNA levels have been reported in the hypothalamus of hypophysectomized rats as well as of dwarf mice. In order to elucidate the effect of the growth hormone-insulin-like growth factor I (GH-IGF-I) axis on hypothalamic GRF and SRIF synthesis, we measured levels of mRNA coding for GRF and SRIF and for pituitary GH in pubertal male rats treated for 3 weeks with antirat GRF gamma-globulin (GRF-ab), anti-SRIF gamma-globulin (SRIF-ab) or both. Immunoneutralization of circulating endogenous GRF resulted in a marked decrease in serum IGF-I and pituitary GH mRNA levels in Northern blot analysis, whereas it caused a significant increase in GRF mRNA levels in the arcuate nucleus as assessed by both Northern blot and in situ hybridization analysis. SRIF mRNA levels in the periventricular nucleus were slightly decreased by GRF-ab treatment when analyzed by in situ hybridization, but not significantly after Northern blot analysis. Immunoneutralization of circulating endogenous SRIF failed to affect mRNA levels of hypothalamic GRF and SRIF but caused a slight reduction in pituitary GH mRNA levels. Levels of mRNA coding for hypothalamic GRF and pituitary GH were also measured by Northern blot analysis in young male rats treated with rat GRF-ab for 2 weeks and replaced with rat GH or IGF-I for the second 1 week. Replacement with either rat GH or IGF-I suppressed the increased hypothalamic GRF mRNA levels. These data indicate that endogenous GRF is essential for normal synthesis of pituitary GH and that both GH and IGF-I negatively regulate the synthesis of hypothalamic GRF.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".