Striatal Neuron Excitability Is Regulated by Huntingtin in the Adult Brain
Bibliographic record
Abstract
Abstract Huntington’s disease (HD) is a hereditary neurodegenerative disease that typically presents during midlife and is characterized by a combination of motor, cognitive and psychiatric symptoms. HD is fatal and arises from a mutation in the huntingtin ( HTT ) gene, which results in decreased neuronal health followed by brain atrophy, with spiny projection neurons (SPNs) of the striatum being especially vulnerable to degeneration. HTT loss-of-function, caused by haploinsufficiency of the wild type HTT gene (wt HTT ), is an important feature of HD pathophysiology that has previously been understudied compared to mutant HTT gain-of-function mechanisms. wtHTT is essential for nervous system development and functions as a scaffolding protein to support many vital cellular functions including axonal transport, autophagy and synaptic plasticity. Here, we examined the consequences of wtHTT deletion in the adult striatum by conditionally inactivating wtHTT in 2-4 month old male and female Htt fl/fl mice. wtHTT loss of function in mature SPNs decreased intrinsic neuronal excitability and produced a neuroinflammatory response in these mice, while tissue organization, spine morphology and motor behaviour remained unaffected. Results presented here provide additional evidence that wtHTT is vital for maintaining neuronal health in the adult brain and highlight some potential adverse consequences of non-selective HTT-lowering for the treatment of 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) | 0.000 | 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".