Wild‐type huntingtin protects neurons from excitotoxicity
Bibliographic record
Abstract
Huntingtin is a caspase substrate, and loss of normal huntingtin function resulting from caspase-mediated proteolysis may play a role in the pathogenesis of Huntington disease. Here we tested the hypothesis that increasing huntingtin levels protect striatal neurons from NMDA receptor-mediated excitotoxicity. Cultured striatal neurons from yeast artificial chromosome (YAC)18 transgenic mice over-expressing full-length wild-type huntingtin were dramatically protected from apoptosis and caspase-3 activation compared with cultured striatal neurons from non-transgenic FVB/N littermates and YAC72 mice expressing mutant human huntingtin. NMDA receptor activation induced by intrastriatal injection of quinolinic acid initiated a form of apoptotic neurodegeneration within the striatum of mice that was associated with caspase-3 cleavage of huntingtin in neurons and astrocytes, decreased levels of full-length huntingtin, and the generation of a specific N-terminal caspase cleavage product of huntingtin. In vivo, over-expression of wild-type huntingtin in YAC18 transgenic mice conferred significant protection against NMDA receptor-mediated apoptotic neurodegeneration. These data provide in vitro and in vivo evidence that huntingtin may regulate the balance between neuronal survival and death following acute excitotoxic stress, and that the levels of huntingtin may modulate neuronal sensitivity to excitotoxic neurodegeneration. We suggest that further study of huntingtin's anti-apoptotic function will contribute to our understanding of the pathogenesis of Huntingdon's disease and provide insights into the selective vulnerability of striatal neurons to excitotoxic cell death.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".