Resistance Training in Patients with Mitochondrial Myopathies
Bibliographic record
Abstract
Myopathic weakness, defined as the inability to generate normal muscle contractile force, frequently occurs in patients with mitochondrial DNA (mtDNA) mutations. Adaptive changes in muscle strength as a response to high intensity resistance training has not been studied in mitochondrial myopathies (MM). PURPOSE: To determine if significant increases in maximal muscle strength occur in MM following 14 weeks of high intensity resistance training. METHODS: Maximal muscle strength of extensor muscles in the upper legs and hips was assessed pre and post 14 weeks of high intensity resistance training in 6 female and 2 male patients with mitochondrial electron transport chain defects due to heteroplasmic mtDNA mutations. The high intensity resistance training regimen consisted of 3 sets of 6 to 8 repetitions utilizing leg extension and leg press exercises performed 3 days per week for 14 weeks. One-repetition max (1RM) values for leg extension and leg press were used to represent maximal muscle strength of the upper leg and and hip extensor muscles. Pre vs post 1RM comparisons were made using a paired Student's t-Test. RESULTS: Leg extension (118+45 vs 140+60 lbs, p=0.012) and leg press 1RM (265+86 vs 319+73 lbs, p=0.006) increased significantly following 14 weeks of high intensity resistance training. These changes in maximal muscular strength represent increases of 18.6 and 20.4% for leg extension and leg press respectively. CONCLUSIONS: Fourteen weeks of high intensity resistance training significantly increase maximal muscular strength in MM. The percent change in 1RM for leg extension and leg press in MM is similar to that reported for previously untrained healthy individuals (increase of 20–30%) following 9–10 weeks of resistance training.
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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 | 0.001 |
| 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 | 0.000 | 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".