Role of SIRT2 in regulating the dexamethasone-activated autophagy pathway in skeletal muscle atrophy
Bibliographic record
Abstract
The proteolytic autophagy system is involved in a major regulatory pathway in dexamethasone (Dex)-induced muscle atrophy. Sirtuin 2 (SIRT2) is known to modulate autophagy signaling, exerting effects in skeletal muscle atrophy. We examined the effects of SIRT2 on autophagy in Dex-induced myoatrophy. Tostudy this, mice were randomly distributed among the normal, Dex, and sirtinol groups. C2C12 cells were differentiated into myotubes and transduced with lentivirus carrying Sirt2–green fluorescent protein (GFP) or Sirt2 short hairpin RNA (Sirt2-shRNA)–GFP. To evaluate the mass and function of skeletal muscles, we measured myofiber cross-sectional area, myotube size, gastrocnemius (GA) muscle wet mass:body mass ratio (%), and time to exhaustion. The expression levels of SIRT2, myosin heavy chain, microtubule-associated protein 1 light chain 3 (LC3), and Beclin-1 were measured using Western blotting and quantitative reverse transcription – polymerase chain reaction. Inhibition of SIRT2 markedly attenuated GA muscle mass and endurance capacity. The same phenotype was observed in Sirt2-shRNA-treated myotubes, as evidenced by their decreased size. Conversely, overexpression of SIRT2 alleviated Dex-induced myoatrophy in vitro. Moreover, SIRT2 negatively regulated the expression of LC3b and Beclin-1 in skeletal muscles. These findings suggest that SIRT2 activation protects myotubes against Dex-induced atrophy through inhibition of the autophagy system; this phenomenon may serve as a target for treating glucocorticoid-induced myopathy.
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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 | 0.001 |
| 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 | 0.001 |
| 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".