Growth Hormone and Somatostatin Gene Expression in Adult and Aging Rats as Measured by Quantitative in situ Hybridization
Bibliographic record
Abstract
We have investigated the variations in growth hormone (GH) and somatostatin (SOM) mRNAs in adult, middle-aged and aging rats of both sexes using quantitative in situ hybridization. cDNA probes complementary to GH mRNA and SOM mRNA were used on fixed pituitary and hypothalamic sections, respectively. A clear sexual dimorphism in GH gene expression was observed in all age groups examined, mRNA levels always being higher in males than in females. In male rats, GH mRNA levels reached a maximum at 7 months of age and then dramatically decreased in middle-aged and aging animals. In female animals, the highest expression of GH was observed at 9 months of age followed by a gradual and constant decline during the aging period. SOM mRNA levels in the periventricular nucleus of the hypothalamus also showed a sexual dimorphism in adult rats, being higher in males than females. A gradual decline in SOM mRNA was observed in middle-aged and aging rats of both sexes. These results suggest that middle age and aging are critical periods for the control of GH and SOM gene expression and that the decrease in GH mRNA levels observed during aging is probably not a consequence of an increase of SOM activity.
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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 | 0.001 | 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".