Molecular clues into the pathogenesis of statin‐mediated muscle toxicity
Bibliographic record
Abstract
The pathophysiology of statin-mediated muscle dysfunction is poorly defined. Reductions in skeletal muscle membrane cholesterol were initially thought to account for the range of myopathic reactions, e.g., myalgia, elevated serum creatine kinase, or rhabdomyolysis. This assumption however, does not consider a potential role of the isoprenoids in the pathophysiology of statin myopathy. The observation that derangements in mevalonate kinase (MK), but not more distal enzymes of cholesterologenesis, are associated with a skeletal myopathy suggests a critical role for the isoprenoids in the maintenance of muscle. Statins also deplete the isoprenoid pool by inhibiting the enzyme, beta-hydroxy-beta-methylglutaryl coenzyme A reductase, which is upstream of MK. Identifying candidate proteins that are both dependent on isoprenoid-mediated modification and associated with muscle disease, when genetically mutated, offers further insight into potential mechanisms of statin myopathy. For example, lamin A/C, selenoprotein N, alpha- and beta-dystroglycan, and cytoskeletal G-proteins all require isoprenylation for optimal function. Understanding the pleiotropic effects of protein prenylation, and the potential consequences of a generalized insufficiency of this form of protein modification, may help clarify the molecular pathogenesis of statin myopathy.
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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) | 0.001 | 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".