The FACTs trial for Fabry disease highlights the promise and challenges of gene therapy
Bibliographic record
Abstract
Gene therapy studies in Fabry disease (FD) are proceeding utilising either lentivirus (LV) or adeno-associated virus (AAV) vectors with either ex vivo or in vivo transductions, respectively.In the FACTs (Fabry Disease Clinical Research and Therapeutics) gene therapy trial, 1,2 five male patients with classical FD (aged 29-48 years) received autologous LV-transduced CD34+ haematopoietic stem/progenitor cells (HSPCs).Cells were transduced ex vivo with a recombinant LV harbouring the cDNA for human α-galactosidase A (α-gal A) and returned to nonmyeloablated hosts who had received low-dose melphalan.Cells engrafted well and polyclonal haematopoiesis was observed.3 In FD, as with a number of lysosomal storage disorders (LSDs), the overexpressed hydrolase can be used by primary corrected cells and can also be secreted, enabling uptake via a mannose-6-phosphate receptor into bystander cells.This was the rationale for targeting HSPCs as they, and their progeny, can circulate and thereby deliver the corrective enzyme systemically.In contrast to enzyme therapy (ET), this approach utilised a single infusion rather than continual biweekly treatments.This single infusion of LV-transduced cells led to continuous production of the αgal A 1 rather than variable peaks and troughs of activity as is seen with ET.The promise and challenges in gene therapy for amelioration of single-gene defects are highlighted by this study (See Figure 1).
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".