Resveratrol enhances post-injury muscle regeneration by regulating antioxidant and mitochondrial biogenesis
Why this work is in the frame
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Bibliographic record
Abstract
Resveratrol (RES), a natural polyphenolic compound, has shown promise in enhancing skeletal muscle regeneration and metabolic function. This study aims to explore the impact of RES on muscle regeneration after injury through the regulation of antioxidant capacity and mitochondrial biogenesis. RES treatment significantly increased the ratio of tibialis anterior muscle mass to body weight, alongside reduced fasting glucose levels. Following cardiotoxin-induced injury, RES treatment improved muscle regeneration, characterized by greater formation of new fibers and better structural repair compared to the control. Notably, gene expression analyses demonstrated that RES-treated mice exhibited elevated levels of myogenic markers, such as paired box 7 (Pax7), myogenic factor 5 (Myf5), myoblast determination protein (MyoD), and Myogenin (MyoG). Concurrently, yes-associated protein (YAP) increased, underscoring its role in regulating satellite cell activity. Transcriptomic analysis identified enriched pathways related to muscle regeneration and mitochondrial biogenesis, with increased expression of mitochondrial transcription factors and higher mitochondrial DNA content in RES-treated mice. Furthermore, RES enhanced antioxidant capacity via the Kelch-like ECH-associated protein 1 (KEAP-1)/nuclear factor erythroid 2-related factor 2 (NRF2)/heme oxygenase-1 (HO-1) signaling pathway, as indicated by elevated activities of total antioxidant capacity, Glutathione peroxidase (GSH-PX), and superoxidase dismutase (SOD). Collectively, these findings suggest that RES not only promotes muscle regeneration but also supports mitochondrial function and antioxidant defenses, positioning it as a food-derived pharmaceutical for targeting muscle repair after injury.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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