Selective degeneration and nuclear localization of mutant huntingtin in the YAC128 mouse model of Huntington disease
Bibliographic record
Abstract
Huntington disease (HD) is an adult onset neurodegenerative disorder that predominantly affects the striatum and cortex despite ubiquitous expression of mutant huntingtin (htt). Here we demonstrate that this pattern of selective degeneration is present in the YAC128 mouse model of HD. At 12 months, YAC128 mice show significant atrophy in the striatum, globus pallidus and cortex with relative sparing of the hippocampus and cerebellum (striatum: -10.4%, P<0.001; globus pallidus: -10.8%, P=0.04; cortex: -8.6%, P=0.001; hippocampus: +0.3%, P=0.9; cerebellum: +2.9%, P=0.6). Similarly, neuronal loss at this age is present in the striatum (-9.1%, P<0.001) and cortex of YAC128 mice (-8.3%, P=0.02) but is not detected in the hippocampus (+1.5%, P=0.72). Mutant htt expression levels are similar throughout the brain and fail to explain the selective neuronal degeneration. In contrast, nuclear detection of mutant htt occurs earliest and to the greatest extent in the striatum-the region most affected in HD. The appearance of EM48-reactive mutant htt in the nucleus in the striatum at 2 months coincides with the onset of behavioral abnormalities in YAC128 mice. In contrast to YAC128 mice, the R6/1 mouse model of HD, which expresses exon 1 of mutant htt, exhibits non-selective, widespread atrophy along with non-selective nuclear detection of mutant htt at 10 months of age. Our findings suggest that selective nuclear localization of mutant htt may contribute to the selective degeneration in HD and that appropriately regulated expression of full-length mutant htt in YAC128 mice results in a pattern of degeneration remarkably similar to human HD.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".