Dexamethasone Rescues an Acute High-Fat Diet-Induced Decrease in Human Growth Hormone Gene Expression in Male Partially Humanized CD-1 Mice
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Bibliographic record
Abstract
Obesity in puberty, already a time of insulin resistance, increases the risk of developing type 2 diabetes. Human (h) growth hormone (GH) levels also peak during puberty, where it contributes to growth and energy homeostasis through positive effects on maintaining pancreatic β cell mass. Thus, it is important to understand the effects of overeating and obesity on hGH production in puberty. Three days of overeating in young male adults or high-fat diet (HFD) in pubescent male transgenic (171hGH/CS) CD-1 mice containing the hGH gene (hGH-N) results in excess insulin and a decrease in hGH production. This reduction in these mice occurred during the light phase of the daily cycle, and was associated with decreased availability of the clock-related transcription factor Brain and Muscle ARNT-Like 1 (Bmal1). However, the HFD-induced decrease in hGH-N expression was blocked by forced daily swim activity, which is expected to increase glucocorticoid (GC) levels. The aim of the study was to assess whether GCs, specifically daily injections with a pharmacological dose of dexamethasone (DEX) in the light or dark phase of the daily cycle, can limit the negative effect of HFD for 3 days on hGH-N expression in male 171hGH/CS mice. DEX treatment increased or rescued hGH-N RNA levels, and was associated with elevated Bmal1 transcripts when assessed 12 h after final treatment, and at a time when serum corticosterone levels were suppressed >90%. In addition, a diet-dependent effect on hGH-N RNA levels was observed at 36 h after final treatment, but only in the light stage, presumably due to residual effects of DEX treatment and/or recovery of endogenous corticosterone levels. This is the first evidence for a direct effect of GCs on hGH-N expression in vivo and the ability to potentially limit the negative effect of overeating/obesity on hGH production in puberty.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 it