Effect of exogenous growth hormone on somatic growth, gonadal development, and hepatic CYP2C11 and CYP2C12 expression in prepubertal intact male rats
Bibliographic record
Abstract
The influence of exogenous growth hormone (GH) on pubertal maturation, as assessed by growth, age of preputial separation, testicular development, and hepatic expression of sexually dimorphic cytochrome P450 (CYP) enzymes, was investigated. Treatment of 22-day old prepubertal intact male rats with twice daily subcutaneous (s.c.) injections of rat recombinant GH (0.12 microg/g body weight) for 12 or 21 days did not affect body weight, skeletal growth, or testicular weight. By comparison, GH suppressed hepatic CYP2C1 enzyme activity, protein, and mRNA levels but induced CYP2C12 expression. GH suppressed CYP2C11 expression by approximately 60% in prepubertal rats as compared with 30% in adult rats, whereas it increased CYP2C12 levels to 80% of the normal female levels but had no effect in adult male rats. Twice daily intravenous injections of GH suppressed CYP2C11 only. Increasing the s.c. dose of GH 30-fold produced little or no additional change in CYP2C11 or CYP2C12 expression, whereas it modestly in creased body weight and skeletal growth and reduced testicular weight. Overall, the present study provides the first demonstration that prepubertal administration (22-33 days of age) of GH at a pharmacologically relevant dose (0.12 microg/g twice daily) suppressed hepatic expression of CYP2C11 in 34-day-old intact male rats, suggesting that in this age group the liver is intrinsically responsive to transcription factors involved in the regulation of GH-dependent, sex-specific CYP gene expression. A higher dose (3.6 microg/g) of GH administered during the prepubertal period was required to elicit a modest effect on somatic growth and gonadal development.
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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 | 0.000 |
| 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".