Resveratrol induces expression of the slow, oxidative phenotype in <i>mdx</i> mouse muscle together with enhanced activity of the SIRT1-PGC-1α axis
Bibliographic record
Abstract
Slower, more oxidative muscle fibers are more resistant to the dystrophic pathology in Duchenne muscular dystrophy (DMD) patients as well as in the preclinical mdx mouse model of DMD. Therefore, one therapeutic strategy for DMD focuses on promoting expression of the slow, oxidative myogenic program. In the current study, we explored the therapeutic potential of stimulating the slow, oxidative phenotype in mdx mice by feeding 6-wk-old animals with the natural phenol resveratrol (RSV; ~100 mg·kg(-1)·day(-1)) for 6 wk. Sirtuin 1 (SIRT1) activity and protein levels increased significantly, as well as peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) activity, in the absence of alterations in AMPK signaling. These adaptations occurred concomitant with evidence of a fast, glycolytic, to slower, more oxidative fiber type conversion, including mitochondrial biogenesis and increased expression of slower myosin heavy chain isoforms. These positive findings raised the question of whether increased exposure to RSV would result in greater therapeutic benefits. We discovered that an elevated RSV dose of ~500 mg·kg(-1)·day(-1) across a duration of 12 wk was clearly less effective at muscle remodeling in mdx mice. This treatment protocol failed to influence SIRT1 or AMPK signaling and did not result in a shift towards a slower, more oxidative phenotype. Taken together, this study demonstrates that RSV can stimulate SIRT1 and PGC-1α activation, which in turn may promote expression of the slow, oxidative myogenic program in mdx mouse muscle. The data also highlight the importance of selecting an appropriate dosage regimen of RSV to maximize its potential therapeutic effectiveness for future application in DMD patients.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".