Impact Of Aerobic Exercise Training On Body Weight, Energy Intake, And Appetite Regulating Hormones In Rats.
Bibliographic record
Abstract
PURPOSE: Post-exercise energy compensation (EC) through increased energy intake (EI) has been demonstrated to lead to lower than anticipated weight reduction with physical activity. The physiological mechanisms mediating the increase in EI remain to be fully elucidated. This study sought to determine the mechanisms, independent of bodyweight, that are involved in exercise-induced EC, specifically assessing the homeostatic appetite control system including appetite-regulating hormones in rats. METHODS: Twelve-week-old male Sprague Dawley rats (n = 30) fed an AIN-93 M diet were randomized into 1 of 3 groups and completed an 8-week intervention: 1) inactive control (SED); 2) voluntary aerobic exercise through wheel running (EX); and 3) inactive, weight-matched to aerobic exercise (SED-WM). SED-WM was included to assess the weight-independent impact of exercise on appetite-regulating hormones. EI, running distance, and bodyweight were recorded daily. After 8 weeks, an oral glucose tolerance test was conducted and blood samples were taken to assess acyl-ghrelin, glucagon-like peptide-1, peptide YY, insulin, and leptin. At euthanasia, portal blood was collected to examine appetite-regulating hormones and fat pads were collected to assess body composition. RESULTS: Bodyweight increased in all 3 groups. There was a time x group interaction (P < 0.05) for bodyweight, such that bodyweight was initially reduced in EX, but no differences were present between SED and EX at the end of the study. A time x group interaction was observed for EI (P < 0.05), showing an early reduction in EI in EX relative to SED, followed by a steady increase in EI in EX. Relative fat mass was reduced in EX relative to SED (P < 0.05) and SED-WM (P < 0.05). Leptin concentration was lower in EX relative to SED-WM (P < 0.05). There was a positive correlation between total body fat and leptin concentration (r = 0.851, P < 0.05). No differences were present between groups for acyl-ghrelin and insulin concentrations. CONCLUSIONS: These findings show that EC through increased EI may be in part responsible for limiting weight reduction with increased physical activity. Based on our findings, a reduction in leptin with exercise appears to be a primary mediating factor contributing to an increase in EI. Funded by NSERC.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".