Galactose treatment rescues neuromuscular junction transmission in glutamine-fructose-6-phosphate transaminase 1 (Gfpt1) deficient mice
Bibliographic record
Abstract
Congenital myasthenic syndromes (CMS) arise from mutations to proteins involved in neuromuscular junction (NMJ) development, maintenance, and neurotransmission. To date, mutations in more than 35 genes have been linked to CMS development. Glutamine fructose-6-phosphate transaminase 1 (GFPT1/Gfpt1) serves as the rate-limiting enzyme of the hexosamine biosynthetic pathway (HBP), producing the byproduct (UDP-GlcNAc) necessary for protein glycosylation. Gfpt1-deficient models have impaired protein glycosylation, impacting key proteins at the NMJ. The Leloir pathway is a galactose metabolizing pathway which produces UDP-GalNAc as its final product. The enzyme UDP-GalNAc Epimerase (GALE) can also convert excess UDP-GalNAc into UDP-GlcNAc, the byproduct of the HBP. We hypothesized that treatment with galactose both in vitro and in vivo in Gfpt1-deficient models would rescue impaired protein O-GlcNAcylation and reverse the glycosylation status of key NMJ-associated proteins. We show that galactose treatment in vitro activated the Leloir pathway and rescued protein O-GlcNAcylation in Gfpt1-deficient C2C12 myoblasts. In addition, we demonstrated that galactose therapy rescued neuromuscular deficits, improved muscle fatigue and restored NMJ morphology in a skeletal muscle-specific Gfpt1 knockout mouse model. Lastly, we showed that galactose treatment rescued protein O-GlcNAcylation in skeletal muscle, preserving the glycosylation status of the delta (δ) subunit of the acetylcholine receptor (AChRδ). Taken together, we suggest that galactose supplementation can be further explored as a therapy for GFPT1-CMS patients.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".