Myostatin is associated with age‐related human muscle stem cell dysfunction
Bibliographic record
Abstract
Human aging is accompanied by a progressive loss of muscle mass (sarcopenia). We tested the hypothesis that older males (OMs, 70±4 yr, n=9) would have a blunted myogenic response to a physiological stimulus compared to younger controls (21±3 yr, n=9). Subjects completed an acute bout of intense unilateral muscle loading. Young healthy males matched for body mass and activity level served as the control group. Muscle biopsies and blood were obtained before and at 3, 24, and 48 h after muscle loading. The muscle stem cell response was analyzed using flow cytometry, immunofluorescent microscopy, and standard protein and mRNA analysis. OMs had 35% fewer basal stem cells and a type II fiber-specific impairment in stem cell content and proliferation. Myogenic determination factor staining and cell cycle analysis illustrated a severely blunted progression through the myogenic program. Myostatin protein and mRNA were 2-fold higher in OMs. Stem cell-specific myostatin levels were not different at baseline; however, there were 67% more myostatin-positive type II-associated stem cells in OMs at 24 h. These data illustrate an age-related impairment of stem cell function in a fiber type-specific manner. The greater colocalization of myostatin with stem cells provides a mechanism for the impaired myogenic capacity of aged 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 | 0.001 | 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".