The impact of a single dose of resveratrol on intramuscular signaling and whole body fat oxidation in humans
Bibliographic record
Abstract
Resveratrol's (RSV) mechanism of action in skeletal muscle has been characterized in cellular and murine models, but RSV's in vivo signaling pathways remain unconfirmed in human skeletal muscle. Overweight males (n=8; BMI, 30.5±3.6; VO2peak, 34.0±7.3 ml/kg) reported to the lab on 2 occasions following a standardized dinner and 12 h fast. Respiratory exchange ratio (RER) and a muscle biopsy were taken while fasted, and 2 hours after breakfast supplemented with 0.3g of RSV or a placebo (PL) pill. Experiments were performed in random order using a double blind crossover design. RER increased from 0.81±0.04 to 0.84±0.06 with PL but decreased from 0.85±0.07 to 0.81±0.05 following RSV. The interaction for RER approached significance (p=0.09). A significant effect of RSV treatment was observed for p‐p38 MAPK (interaction, p < 0.05) with the decrease observed after PL (−31±28%) being reversed following RSV (+7±13%). p‐AKT increased (p < 0.05) in a time dependent fashion following both RSV (+111±68%) and PL (+79±19%). While p‐ACC tended to increase with time this change did not reach significance in either group. Significant interactions were not observed for p‐AKT (p=0.12) or p‐ACC (p=0.47). These results suggest that a single dose of RSV can influence intramuscular signaling; specifically pathways involved in the control of mitochondrial biogenesis, and may increase whole body fat oxidation. This study was 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) | 0.000 | 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 | 0.001 | 0.000 |
| 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".