Apoptosis and necrosis mediate skeletal muscle fiber loss in age‐induced mitochondrial enzymatic abnormalities
Bibliographic record
Abstract
Sarcopenia, the age-induced loss of skeletal muscle mass and function, results from the contributions of both fiber atrophy and loss of myofibers. We have previously characterized sarcopenia in FBN rats, documenting age-dependent declines in muscle mass and fiber number along with increased fiber atrophy and fibrosis in vastus lateralis and rectus femoris muscles. Concomitant with these sarcopenic changes is an increased abundance of mitochondrial DNA deletion mutations and electron transport chain (ETC) abnormalities. In this study, we used immunohistological and histochemical approaches to define cell death pathways involved in sarcopenia. Activation of muscle cell death pathways was age-dependent with most apoptotic and necrotic muscle fibers exhibiting ETC abnormalities. Although activation of apoptosis was a prominent feature of electron transport abnormal muscle fibers, necrosis was predominant in atrophic and broken ETC-abnormal fibers. These data suggest that mitochondrial dysfunction is a major contributor to the activation of cell death processes in aged muscle fibers. The link between ETC abnormalities, apoptosis, fiber atrophy, and necrosis supports the hypothesis that mitochondrial DNA deletion mutations are causal in myofiber loss. These studies suggest a progression of events beginning with the generation and accumulation of a mtDNA deletion mutation, the concomitant development of ETC abnormalities, a subsequent triggering of apoptotic and, ultimately, necrotic events resulting in muscle fiber atrophy, breakage, and fiber loss.
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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".