Mechanisms of muscle atrophy in type 2 diabetes mellitus: factors dysregulating muscle protein synthesis and breakdown
Bibliographic record
Abstract
Type 2 diabetes mellitus (T2DM) is rising in prevalence and incidence, which is leading to increased burden on healthcare systems. A less recognized consequence of T2DM is the accelerated loss of skeletal muscle, which can reduce quality of life and further exacerbate T2DM progression. Insulin resistance disrupts skeletal muscle maintenance by impairing insulin- and leucine-mediated signalling-processes challenging to study due to the number and complexity of dysregulated components. Several key areas in this field remain underexplored, such as the causal relationship between T2DM and muscle atrophy, the impact of insulin resistance on muscle protein balance, and the mechanisms driving muscle atrophy in humans with T2DM. Advancing understanding in these areas requires the integration of evidence from experimental, prospective, and computational studies to more precisely characterize the mechanisms and progression of T2DM-related muscle atrophy and to inform targeted interventions to mitigate muscle 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".