Forced Myofiber Regeneration Promotes Dystrophin Gene Transfer and Improved Muscle Function Despite Advanced Disease in Old Dystrophic Mice
Bibliographic record
Abstract
Duchenne muscular dystrophy (DMD) is caused by defects in the dystrophin gene. In young dystrophic mdx mice, immature regenerating myofibers represent the principal substrate for adenovirus vector (AdV)-mediated dystrophin gene transfer. However, in DMD patients immature regenerating myofibers are generally sparse. Such a situation also exists in old mdx mice, which may represent a more realistic model. Therefore, here we have used old mdx mice (of 14- to 17 months of age) to test the hypothesis that one-time administration of a myonecrotic agent can transiently re-establish a population of immature myofibers susceptible to AdV-mediated dystrophin gene transfer. This strategy led to upregulation of the coxsackie/adenovirus attachment receptor by means of induction of regenerating myofibers, significantly augmented AdV-mediated dystrophin gene expression, and enhanced force-generating capacity. In addition, it led to an increased resistance to contraction-induced injury compared with untreated controls. The latter protective effect was positively correlated with the number of dystrophin-expressing myofibers (r=0.83, P<0.05). Accordingly, the risk:benefit ratio associated with the sequential use of forced myofiber regeneration and AdV-mediated dystrophin gene transfer was favorable in old mdx mice despite advanced disease. These findings have implications for the potential applicability of AdV-mediated gene therapy to DMD and other muscle diseases in which immature regenerating myofibers are lacking.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".