Acute exposure to GH during exercise stimulates the turnover of free fatty acids in GH-deficient men
Bibliographic record
Abstract
The secretion of growth hormone (GH) increases acutely during exercise, but whether this is associated with the concomitant alterations in substrate metabolism has not previously been studied. We examined the effects of acute GH administration on palmitate, glucose, and protein metabolism before, during, and after 45 min of moderate-intensity aerobic exercise in eight GH-deficient men (mean age = 40.8 +/- 2.9 yr) on two occasions, with (+GH; 0.4 IU GH) and without GH administered (-GH). A group of healthy controls (n = 8, mean age = 40.4 +/- 4.2 yr) were studied without GH. The GH replacement during exercise on the +GH study mimicked the endogenous GH profile seen in healthy controls. No significant difference in resting free fatty acid (FFA) flux was found between study days, but during exercise a greater FFA flux was found when GH was administered (211 +/- 26 vs. 168 +/- 28 micromol/min, P < 0.05) and remained elevated throughout recovery (P < 0.05). With GH administered, the exercise FFA flux was not significantly different from that observed in control subjects (188 +/- 14 micromol/min), but the recovery flux was greater on the +GH day than in the controls (169 +/- 17 vs. 119 +/- 11 micromol/min, respectively, P < 0.01). A significant time effect (P < 0.01) for glucose rate of appearance from rest to exercise and recovery occurred in the GH-deficient adults and the controls, whereas there were no differences in glucose rate of disappearance. No significant effect across time was found for protein muscle balance. In conclusion, 1) acute exposure to GH during exercise stimulates the FFA release and turnover in GH-deficient adults, 2) GH does not significantly impact glucose or protein metabolism during exercise, and 3) the exercise-induced secretion of GH plays a significant role in the regulation of fatty acid metabolism.
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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) | 0.001 | 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) | 0.001 | 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".