From molecular to physical function: The aging trajectory
Bibliographic record
Abstract
Aging is accompanied by a decline in muscle mass, strength, and physical function, a condition known as sarcopenia. Muscle disuse attributed to decreased physical activity, hospitalization, or illness (e.g. sarcopenia) results in a rapid decline in muscle mass in aging individuals and effectively accelerates sarcopenia. Consuming protein at levels above (at least 50–100% higher) the current recommended intakes of ∼0.8 g protein/kg bodyweight/d, along with participating in both resistance and aerobic exercise, will aid in the preservation of muscle mass. Physiological muscle adaptations often accompany the observable changes in physical independence an older adult undergoes. Muscle fibre adaptations include a reduction in type 2 fibre size and number, a loss of motor units, reduced sensitivity to calcium, reduced elasticity, and weak cross-bridges. Mitochondrial function and structure are impaired in relation to aging and are worsened with inactivity and disease states but could be overcome by engaging in exercise. Intramuscular connective tissue adaptations with age are evident in animal models; however, the adaptations in collagenous tissue within human aging are less clear. We know that the satellite muscle cell pool decreases with age, and there is a reduced capacity for muscle repair/regeneration. Finally, a pro-inflammatory state associated with age has detrimental impacts on the muscle. The purpose of this review is to highlight the physiological adaptations driving muscle aging and their potential mitigation with exercise/physical activity and nutrition. • Changes in skeletal muscle function with age are inevitable but are accelerated by disease and disuse. • With age, there is a “natural” decline in muscle mass, strength, and physical function: sarcopenia. • Increased inflammation, impaired mitochondrial function, and stiffer connective tissue exacerbate sarcopenia. • Exercise and protein intake are strategies to preserve muscle mass and/or mitigate physiological detriments with age. • Periods of disuse accelerate muscle aging resulting in incomplete recovery, and a permanent loss of muscle/function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".