VGLUT3 Deletion Rescues Motor Deficits and Neuronal Loss in the zQ175 Mouse Model of Huntington's Disease
Bibliographic record
Abstract
Huntington's disease (HD) is an autosomal-dominant neurodegenerative disease characterized by progressive motor and cognitive impairments, with no disease-modifying therapies yet available. HD pathophysiology involves evident impairment in glutamatergic neurotransmission leading to severe striatal neurodegeneration. The vesicular glutamate transporter-3 (VGLUT3) regulates the striatal network that is centrally affected by HD. Nevertheless, current evidence on the role of VGLUT3 in HD pathophysiology is lacking. Here, we crossed mice lacking Slc17a8 gene ( VGLUT3 –/– ) with heterozygous zQ175 knock-in mouse model of HD ( zQ175:VGLUT3 –/– ). Longitudinal assessment of motor and cognitive functions from 6 to 15 months of age reveals that VGLUT3 deletion rescues motor coordination and short-term memory deficits in both male and female zQ175 mice. VGLUT3 deletion also rescues neuronal loss likely via the activation of Akt and ERK1/2 in the striatum of zQ175 mice of both sexes. Interestingly, the rescue in neuronal survival in zQ175:VGLUT3 –/– mice is accompanied by a reduction in the number of nuclear mutant huntingtin (mHTT) aggregates with no change in the total aggregate levels or microgliosis. Collectively, these findings provide novel evidence that VGLUT3, despite its limited expression, can be a vital contributor to HD pathophysiology and a viable target for HD therapeutics. SIGNIFICANCE STATEMENT Dysregulation of the striatal network centrally contributes to the pathophysiology of Huntington's disease (HD). The atypical vesicular glutamate transporter-3 (VGLUT3) has been shown to regulate several major striatal pathologies, such as addiction, eating disorders, or L-DOPA-induced dyskinesia. Yet, our understanding of VGLUT3's role in HD remains unclear. We report here that deletion of the Slc17a8 ( Vglut3 ) gene rescues the deficits in both motor and cognitive functions in HD mice of both sexes. We also find that VGLUT3 deletion activates neuronal survival signaling and reduces nuclear aggregation of abnormal huntingtin proteins and striatal neuron loss in HD mice. Our novel findings highlight the vital contribution of VGLUT3 in HD pathophysiology that can be exploited for HD therapeutic management.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".