Ultrasound Increases Plasmid-Mediated Gene Transfer to Dystrophic Muscles without Collateral Damage
Bibliographic record
Abstract
Studies have shown that ultrasound, used either alone or in combination with microbubble contrast agents, can increase cell membrane permeability to plasmid DNA. Because ultrasound is a non-painful and well-established tool in clinical medicine, its potential to enhance DNA uptake into the muscles of patients with muscular dystrophy is conceptually attractive. Therefore, we evaluated the ability of ultrasound pulses (1 MHz; 1.5 W/cm2) to increase exogenous (LacZ) gene expression in normal wild-type and dystrophic Dmd(mdx/mdx) mice after plasmid DNA injection into muscle. We also ascertained whether co-injection of lipid-encapsulated perfluoropropane microbubbles (Definity) or pretreatment with hyaluronidase could further increase the level of gene transfer to ultrasound-treated muscles. The use of ultrasound did not increase transfection efficiency in normal mice. In contrast, dystrophic mice demonstrated an increase in the number of transfected fibers (threefold) as well as the amount of LacZ protein (22-fold) after ultrasound exposure, provided that Definity was also co-injected with the DNA. Pretreatment of muscles with hyaluronidase before ultrasound exposure was not effective in augmenting the level of gene transfer. Under the optimal conditions for dystrophic muscle transfection (ultrasound + Definity), there was no associated increase in muscle damage. Hence ultrasound may provide a safe and effective method for enhancing gene transfer to dystrophic muscles, thereby increasing the prospects for therapeutic application of naked DNA in muscular dystrophy patients.
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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".