The influence of mechanical loading on skeletal muscle protein turnover
Bibliographic record
Abstract
Skeletal muscle plays a fundamental role in human health and so understanding the biological processes that regulate skeletal muscle mass in health and disease is critical. We know that resistance exercise increases rates of muscle protein synthesis (MPS) in a mechanistic target of rapamycin complex 1 (mTORC1)-dependent manner. However, the exact molecule(s) that ‘sense’ mechanical loading and translate that signal to a biochemical event leading to upregulation of MPS remains elusive. Similarly, in response to periods of unloading there is a decrease in MPS and potentially a transient increase in muscle protein breakdown MPB, but the relative contribution of MPS and MPB to muscle atrophy remains unknown. The aim of this review is to briefly outline the molecular mechanisms that regulate skeletal muscle protein mass in response to both mechanical loading and unloading (disuse). We discuss recent developments in the field of molecular exercise biology as well as present a working hypothesis as to the physiological basis for muscle disuse atrophy.
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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 | 0.001 | 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".