Enzyme replacement therapy for Farber disease: Proof-of-concept studies in cells and mice
Bibliographic record
Abstract
A series of studies were carried out in Farber disease (OMIM #228000) cells and mice to evaluate the feasibility of enzyme replacement therapy (ERT) for this disorder. Media from Chinese hamster ovary (CHO) cells overexpressing human recombinant acid ceramidase (rhAC) was used to treat fibroblasts from a Farber disease patient, leading to significantly reduced ceramide. We also found that chondrocytes from Farber disease mice had a markedly abnormal chondrogenic phenotype, and this was corrected by rhAC as well. Acute dosing of rhAC in Farber mice confirmed the enzyme's bioactivity in vivo, and showed that it could be safely administered at doses up to 50 mg/kg. These studies also revealed little or no re-accumulation of ceramide in tissues for at least 7 days after enzyme administration. Once weekly administration of rhAC moderately improved survival of the mice, which could be enhanced by starting enzyme administration at an earlier age (3 days vs. 3 weeks). Repeat administration of the enzyme also led to normalization of spleen size, significantly reduced plasma levels of monocyte chemoattractant protein 1 (MCP-1), reduced infiltration of macrophages into liver and spleen, and significantly reduced ceramide and sphingosine in tissues. Overall, we conclude that ERT should be further developed for this debilitating and life-threatening disorder.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".