Diabetic Myopathy: current molecular understanding of this novel neuromuscular disorder
Bibliographic record
Abstract
PURPOSE OF REVIEW: Here we summarize the evidence from human studies of the impairments to the structural, functional, and metabolic capacities in skeletal muscle in those with type 1 diabetes (T1D) - a condition known as diabetic myopathy. Given the importance of skeletal muscle for blood lipid and glucose management, the development and progression of diabetic myopathy would not only lead to increased insulin resistance, but also impact the ability to mitigate dysglycemic/dyslipidemic burdens. RECENT FINDINGS: Despite the importance of skeletal muscle in whole-body metabolic control, studies investigating diabetic myopathy are startling limited. Recent findings have demonstrated that those with T1D exhibit decreased force production, increased fatigability, loss of muscle stem cells, and a greater reliance on glycolytic metabolism, as a result of reduced mitochondrial capacity. SUMMARY: We propose a mechanistic model for the development of diabetic myopathy based on the human findings to date. This model suggests that repeated insulin injections in those with T1D leads to recurrent periods of intracellular hyperglycemia in myofibers. Resultant reductions in mitochondrial function lead to greater reliance on glycolytic metabolism and a concomitant shift in fiber type composition. Studies defining the scope and magnitude of diabetic myopathy and testing the veracity of this model are urgently needed in order to develop appropriate therapeutic strategies to maximize muscle health in those with T1D.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".