The aging muscle stem cell niche as a therapeutic target (79.2)
Bibliographic record
Abstract
Impaired muscle strength and regeneration are major problems of aging. We found that skeletal muscle stem cells (MuSCs) from aged mice are two‐thirds less effective in regenerating muscle than young MuSCs, even in a young microenvironment. Culture of aged MuSCs in hydrogel niches in conjunction with a pharmacological inhibitor of p38 mitogen‐activated protein kinase, enhanced MuSC proliferation and decreased the proportion expressing p16Ink4a. The capacity of this population to regenerate damaged muscles was similar to young MuSCs following transplantation into mice, evaluated by non‐invasive imaging, stem‐cell repopulation, and serial transplantation assays. The rejuvenation of the aged muscle stem cell population was attributable to expansion of a functional subpopulation, as revealed by time‐lapse microscopy. Molecular analyses identified a mechanism whereby substrate mechanics contributes to the modulation of MuSC stemness. Notably, strength was restored when the rejuvenated population was delivered to damaged muscles of aged mice. These findings suggest that a localized autologous muscle stem cell therapy post‐injury could benefit aged individuals.
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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) | 0.002 | 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".