Denervation-induced oxidative stress and autophagy signaling in muscle
Bibliographic record
Abstract
Alterations in contractile activity influence the intracellular homeostasis of muscle, which results in adaptations in the performance and the phenotype of this tissue. Denervation is an effective disuse model that functions to change the intracellular environment of muscle leading to a rapid loss in mass, a decrease in mitochondrial content, and an elevation in both proapoptotic protein expression and myonuclear apoptosis. Recent investigations have shown that alternative degradation pathways such as autophagy are activated in conjunction with apoptosis during chronic muscle disuse. We have previously shown that seven days of muscle disuse increases the expression of Beclin 1. Furthermore, we have also detected a significant increase in the expression of LC3-II, a known component of autophagy. In addition to its upregulation, denervation appears to induce the translocation of LC3-II to mitochondrial membranes. Collectively, these increases in protein expression suggest that autophagy signaling is upregulated in response to denervation, and that these pathways may preferentially target mitochondria for degradation in skeletal muscle.
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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".