Reactive Oxygen Species Regulation of Autophagy in Skeletal Muscles
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effects of physiological levels of mitochondrial-derived reactive oxygen species (ROS) on skeletal muscle autophagy, a proteolytic pathway designed to regulate contractile and myofilament homeostasis and to recycle long-lived proteins and damaged organelles. RESULTS: Basal levels of autophagy and autophagy triggered by 1.5 to 4 h of acute nutrient deprivation, rapamycin treatment, or leucine deprivation were measured in differentiated C2C12 myotubes using long-lived protein degradation assays, LC3B lipidation, autophagy-related gene expression, and electron microscopy. Preincubation with the general antioxidants tempol (superoxide dismutase mimic) and N-acetyl cysteine (NAC) or the mitochondria-specific antioxidants mito-tempol and SS31 significantly decreased the rates of long-lived protein degradation and LC3B flux and blocked the induction of autophagy-related gene expression. Mitochondrial ROS levels significantly increased in response to acute nutrient deprivation and rapamycin treatment. Mito-tempol and tempol blocked this response. Antioxidants decreased AMP-activated protein kinase (AMPK) phosphorylation by 40% and significantly increased protein kinase B (AKT) phosphorylation, but exerted no effects on mTORC1-dependent ULK1 phosphorylation on Ser(555). NAC significantly decreased basal LC3B autophagic flux in skeletal muscles of mice. INNOVATION: We report for the first time that endogenous ROS promote skeletal muscle autophagy at the basal level and in response to acute nutrient starvation and mTORC1 inhibition. We also report for the first time that mitochondrial-derived ROS promote skeletal muscle autophagy and that this effect is mediated, in part, through regulation of autophagosome initiation and AKT inhibition. CONCLUSION: Mitochondrial-derived ROS promote skeletal muscle autophagy and this effect is mediated, in part, through activation of AMPK and inhibition of AKT.
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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) | 0.000 | 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) | 0.001 | 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".