Men supplemented with 17β-estradiol have increased β-oxidation capacity in skeletal muscle
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
During endurance exercise women have lower carbohydrate and higher lipid oxidation compared with men. Supplementation of humans and rodents with 17beta-estradiol (E(2)) lowers the respiratory exchange ratio, the glucose rate of appearance and disappearance, and the metabolic clearance rate. The mechanism(s) for the observed estrogen effects in substrate utilization remains to be determined. We hypothesized that estrogen would increase the mRNA and protein content for genes involved in the regulation of beta-oxidation. Ten moderately active men were supplemented with placebo or E(2) for 8 days in a randomized double-blind crossover design. After supplementation muscle biopsies were obtained from the vastus lateralis and examined for differences in mRNA, microRNA, and protein content of genes involved in lipid oxidation. E(2) increased the protein abundance of medium-chain acyl-CoA dehydrogenase (MCAD) 42% (P <or= 0.05). Peroxisome proliferator-activated receptor gamma coactivator-1alpha (PGC-1alpha) mRNA was significantly higher after E(2) supplementation by 29% (P <or= 0.05), and microRNA miR-29b (predicted to regulate PGC-1alpha) was significantly lower by 66% (P <or= 0.05). In conclusion, E(2) might partially regulate lipid metabolism in skeletal muscle by altering the protein content of MCAD, which may be directly or indirectly regulated by an increase in PGC-1alpha and reduction in miR-29b.
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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) | 0.000 | 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 | 0.000 |
| 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