PGC-1α in the myofibers regulates the balance between myogenic and adipogenic progenitors affecting muscle regeneration
Bibliographic record
Abstract
Skeletal muscle repair is accomplished by satellite cells (MuSCs) in cooperation with interstitial stromal cells (ISCs), but the relationship between the function of these cells and the metabolic state of myofibers remains unclear. This study reports an altered proportion of MuSCs and ISCs (including adipogenesis-regulatory cells; Aregs) induced by the transgenic overexpression of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) in the myofibers (MCK-PGC-1α mice). Although PGC-1α-driven increase of MuSCs does not accelerate muscle regeneration, myogenic progenitors isolated from MCK-PGC-1α mice and transplanted into intact and regenerating muscles are more prone to fuse with recipient myofibers than those derived from wild-type donors. Moreover, both young and aged MCK-PGC-1α animals exhibit reduced perilipin-positive areas when challenged with an adipogenic stimulus, demonstrating low propensity to accumulate adipocytes within the muscle. Overall, these results unveil that increased PGC-1α expression in the myofibers favors pro-myogenic and anti-adipogenic cell populations in the 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".