Mitochondrial Theory of Aging in Human Age-Related Sarcopenia
Bibliographic record
Abstract
Understanding age-related sarcopenia and, more importantly, devising counterstrategies require an intimate knowledge of the underlying mechanism(s) of sarcopenia. The mitochondrial theory of aging (MTA) has been a leading theory on aging for the last decade; however, there is relatively little information from human tissue to support or rebut the involvement of the MTA in aging skeletal muscle. It is believed that mitochondria may contribute to sarcopenia in a stochastic fashion where regions of fibers containing dysfunctional mitochondria are forced to atrophy. Resistance exercise, a known hypertrophic stimulus, has been shown to improve the mitochondrial phenotype of aged skeletal muscle. Furthermore, activation of skeletal muscle stem cells by resistance exercise may attenuate sarcopenia in two ways. First by inducing nuclear addition to postmitotic fibers, and, second, by increasing the proportion of functional mitochondria donated by muscle stem cells in a process termed 'gene shifting'. In this chapter we review the evidence supporting the MTA, the potential to attenuate the MTA with a known hypertrophic stimuli and explore the role of muscle stem cells in gene shifting to determine the connection between mitochondrial dysfunction and age-related sarcopenia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".