Optimization of regional intraarterial naked DNA-mediated transgene delivery to skeletal muscles in a large animal model
Bibliographic record
Abstract
Effective gene therapy for muscular dystrophy will likely require intravascular administration. Although plasmid DNA (pDNA) contained within a large volume and rapidly infused into a major artery can achieve gene transfer within downstream muscles, this is associated with substantial muscle edema. Here we hypothesized that excessive edema-related increases in intramuscular pressure (IM pressure) developed during intraarterial pDNA injections could hinder successful gene delivery. Accordingly, we monitored IM pressure during injection of pDNA carrying a LacZ transgene into the femoral artery of rats and pigs. Large variations in IM pressure were found between different muscles. There was a significant inverse relationship between IM pressure and the subsequent level of gene transfer to muscle. Modification of the injection protocol to reduce IM pressure led to greatly increased pDNA-mediated gene expression and reduced muscle damage in pigs. Under the most optimized conditions, average transfection within eight different muscles of the pig hind limb amounted to 22% of all fibers, attaining a maximum of 60% in the gastrocnemius muscle. We conclude that IM pressure monitoring is a simple and useful procedure, which can be applied in both small and large animals to help optimize pDNA-mediated gene transfer to skeletal muscles by the intraarterial route.
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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".