Aberrant chloride homeostasis and inhibitory synaptic transmission in Huntington's disease
Bibliographic record
Abstract
Huntingtonâ s disease (HD) is primarily characterized by progressive motor incoordination and involuntary movements that result from neurodegeneration of the striatum. However, cognitive impairments and learning and memory deficits involving the hippocampus emerge in the early stages of the disease and precede the motor impairments by ~15 years. Despite the critical role of GABAergic inhibition in learning and memory, inhibition has not been studied in detail in the HD hippocampi. In my PhD thesis, I have presented three novel pieces of evidence that collectively demonstrate the causative role of Cl- homeostasis in hippocampal-related learning and memory deficits in HD mice. First, the reduced expression of the Cl--extruding cotransporter KCC2, and the increased expression in the Cl--importing cotransporter NKCC1 together result in excitatory GABAergic transmission in the hippocampi of the R6/2 transgenic mouse model of HD. Second, inhibition of the Cl--importing transporter NKCC1 with the FDA-approved drug bumetanide restores hyperpolarizing GABAergic inhibition and rescues the performance of R6/2 mice on hippocampal-associated behavioral tests. Third, the strength of overall hippocampal inhibition is altered at both the presymptomatic and symptomatic stages of the disease, and involves the disruption of both presynaptic and postsynaptic components. Taken together, my PhD work not only significantly increases our understanding of a less recognized aspect of HD, but also for the first time describes the involvement of Cl- homeostasis in a neurodegenerative disease.
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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) | 0.000 | 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".