Expression of a modified astrocytic glutamate transporter alleviates Huntington’s hypokinesia, promotes synaptic glutamate clearance and counteracts potentially adverse EAAT2 interactions
Bibliographic record
Abstract
SUMMARY Rapid removal of glutamate from the sites of glutamate release is an essential step in excitatory synaptic transmission. Despite many years of research, the molecular mechanisms underlying the intracellular regulation of glutamate transport at tripartite synapses have remained unclear. This limits the options for pharmacological treatment of motor disorders associated with glutamate excitotoxicity. Therefore, using the Q175 mouse model of Huntington’s disease (HD), we explored the effects of structural changes in the astrocytic excitatory amino acid transporter type 2 (EAAT2). We report that expression of a C-terminal-modified variant of EAAT2 can alleviate the symptoms of hypokinesia in mice with already advanced HD. At a cellular level, this beneficial outcome correlated with faster synaptic glutamate clearance, higher astrocytic glutamate uptake and larger amounts of native EAAT2 protein. Proteomics data indicate a partial reversal of HD-induced changes in the EAAT2 interactor spectrum. Thus, astrocytic glutamate transport remains a target for therapeutic intervention.
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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 | 0.001 |
| 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".