Autologous Transplantation of Lentivector/Acid Ceramidase–Transduced Hematopoietic Cells in Nonhuman Primates
Bibliographic record
Abstract
Farber disease is a rare lysosomal storage disorder (LSD) that manifests due to acid ceramidase (AC) deficiencies and ceramide accumulation. We present a preclinical gene therapy study for Farber disease employing a lentiviral vector (LV-huAC/huCD25) in three enzymatically normal nonhuman primates. Autologous, mobilized peripheral blood (PB) cells were transduced and infused into fully myelo-ablated recipients with tracking for at least 1 year. Outcomes were assessed by measuring the AC specific activity, ceramide levels, vector persistence/integration, and safety parameters. We observed no hematological, biochemical, radiological, or pathological abnormalities. Hematological recovery occurred by approximately 3 weeks. Vector persistence was observed in PB and bone marrow (BM) cells by qualitative and quantitative PCR. We did not observe any clonal proliferation of PB and BM cells. Importantly, AC-specific activity was detected above normal levels in PB and BM cells analyzed post-transplantation and in spleens and livers at the endpoint of the study. Decreases of ceramide in PB cells as well as in spleen and liver tissues were seen. We expect that this study will provide a roadmap for implementation of clinical gene therapy protocols targeting hematopoietic cells for Farber disease and other LSDs.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".