Gene therapy for lipoprotein lipase deficiency
Bibliographic record
Abstract
PURPOSE OF REVIEW: The present review summarizes the clinical development of adeno-associated viral vector (AAV)1-lipoprotein lipase (LPL)S447X gene therapy (alipogene tiparvovec) for lipoprotein lipase deficiency. Lipoprotein lipase deficiency is a rare inherited disease characterized by severe hypertriglyceridaemia, chylomicronaemia and risk of recurrent pancreatitis or other complications. AAV1-LPLS447X gene therapy is based on the rationale that by adding episomal copies of functional LPL genes into muscle cells lacking active LPL, metabolic function could be improved or restored. RECENT FINDINGS: AAV1-LPLS447X is a nonreplicating and nonintegrating AAV of serotype 1 designed to deliver and express the human LPL gene variant S447X. The clinical development programme for AAV1-LPLS447X consisted of two observational studies, three open-label interventional studies and one case note review analysis. Intramuscular administration of AAV1-LPLS447X was generally well tolerated and was associated with reduction in overall pancreatitis incidence and signs of clinical improvement up to 2 years after administration. Results of interventional studies suggest that markers of postprandial metabolism could be more accurate than fasting plasma triglyceride concentration to monitor the effect of AAV1-LPLS447X . SUMMARY: The overall benefit-risk ratio of AAV1-LPLS447X gene therapy appears positive to date, particularly for the patients presenting the highest risk of complications.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".