Therapeutic gene transfer to dystrophic diaphragm by an adenoviral vector deleted of all viral genes
Bibliographic record
Abstract
Duchenne muscular dystrophy is caused by defects in the dystrophin gene, and the mdx mouse is the most frequently employed genetic model of this disease. It is well known that different muscle groups do not respond in the same way to dystrophin deficiency. In particular, the mdx mouse diaphragm exhibits severe morphological and functional changes not found in other mdx muscles. Use of early generation adenoviral vectors to deliver genes to the diaphragm in immunocompetent mdx mice has been associated with substantial functional toxicity and a rapid loss of transgene expression. Here we determined the response to dystrophin gene replacement in the mdx diaphragm using a "gutted" adenoviral vector that contains the coding sequence of two full-length dystrophin genes and is deleted of most viral DNA sequences. At 1 wk postdelivery of the vector, 23.6 +/- 4% of total fibers in the injected diaphragm bundle expressed dystrophin at the sarcolemma, which remained stable over the study duration of 30 days without the need for continuous immunosuppression. Treated diaphragms showed a significantly improved resistance to the abnormal force deficits induced by high-stress muscle contractions, the latter being a functional hallmark of dystrophin-deficient muscle. This functional amelioration was achieved despite the presence of mildly increased inflammation (CD4+ and CD8+ lymphocytes) within the vector-treated diaphragms. To our knowledge, this is the first demonstration that a viral vector can achieve reversal of functional abnormalities in the dystrophic diaphragm via therapeutic dystrophin gene transfer without the need for sustained immunosuppressive therapy.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".