Oral Glucosamine Ameliorates Aggravated Neurological Phenotype in Mucopolysaccharidosis III Type C Mouse Model Expressing Misfolded HGSNAT Variant
Bibliographic record
Abstract
Abstract Objective Over 55% of mucopolysaccharidosis IIIC (MPS IIIC) patients have at least one allelic missense variant responsible for misfolding of heparan sulfate acetyl-CoA: α -glucosaminide N- acetyltransferase (HGSNAT). These variants are potentially treatable with pharmacological chaperones, such as a competitive HGSNAT inhibitor, glucosamine. Since the constitutive HGSNAT knockout mice, we generated previously cannot be used to test such strategy in vivo, we generated a novel model, the Hgsnat P304L strain, expressing misfolded mutant HGSNAT with human missense mutation Pro311Leu (Pro304Leu in the mouse enzyme). Results Hgsnat P304L mice present deficits in short-term (novel object recognition test) and working/spatial (Y-maze test) memory at 4 months of age, 2-4 months earlier than previously described gene-targeted Hgsnat-Geo mice, which lack HGSNAT protein. Hgsnat P304L mice also show increased severity of synaptic deficits in CA1 neurons, and accelerated course of CNS pathology including neuronal storage of heparan sulfate, accumulation of misfolded proteins, increase of simple gangliosides, and neuroinflammation as compared with Hgsnat-Geo mice. Expression of misfolded human Pro311Leu HGSNAT protein in cultured hippocampal Hgsnat- Geo neurons aggravated reduction of synaptic proteins. Memory deficits and majority of pathological changes in the brain were rescued in mice receiving daily doses of oral glucosamine. Interpretation Altogether, our data for the first time demonstrate dominant-negative effects of the misfolded HGSNAT Pro304Leu variant and show that these effects are treatable by oral administration of glucosamine, suggesting that patients, affected with missense mutations preventing normal folding of the enzyme, could benefit from chaperone therapy.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".