Safe and Sustained Overexpression of Functional Apolipoprotein A-I/High-density Lipoprotein in Apolipoprotein A-I–null Mice by Muscular Adeno-associated Viral Serotype 8 Vector Gene Transfer
Bibliographic record
Abstract
High levels of high-density lipoprotein (HDL) have protective effects against atherosclerosis and cardiovascular diseases. The postulated mechanism of action for these benefits is an enhanced reverse cholesterol transport. Apolipoprotein A-I (ApoA-I) is the major protein of HDL. The clinical benefits of raising ApoA-I/HDL have been clearly established by clinical and epidemiological studies. Despite these observations, there are not very effective pharmacological means for raising HDL. ApoA-I gene delivery by viral vectors seems a promising strategy to raise ApoA-I/HDL levels. Sustained gene expression in animals and humans has been attained using adeno-associated viral (AAV) vectors. The aim of the present study was to determine the efficiency, safety, and biological activity of human ApoA-I intramuscularly delivered using an AAV vector in mice. AAV serotype 8 vectors encoding for human ApoA-I transgene were administered intraportally and intramuscularly in ApoA-I- deficient animals. ApoA-I levels were measured every 2 weeks post administration. The effectiveness of the generated HDL was tested in vitro in cholesterol-loaded macrophages. The administration of the vectors resulted in a significant and sustained increase in ApoA-I and HDL plasma levels for up to 16 weeks at similar extent by both routes of administration. Activity of the generated HDL in removal of cholesterol from cholesterol-loaded macrophages was similar in both groups. Our data suggest that intramuscular AAV8-mediated gene transfer of human ApoA-I results in a significant and maintained increase in ApoA-I and functional HDL.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".