A dominant-negative variant in the dopamine transporter PDZ-binding motif is linked to parkinsonism and neuropsychiatric disease
Bibliographic record
Abstract
Abstract Dopaminergic dysfunction is central to movement disorders and mental diseases. The dopamine transporter (DAT) is essential for the regulation of extracellular dopamine but the genetic and mechanistic link between DAT function and dopamine-related pathologies remains elusive. Particularly, the pathophysiological significance of monoallelic missense mutations in DAT is unknown. Here we identify a novel coding DAT variant, DAT-K619N, in a patient with early-onset parkinsonism and comorbid neuropsychiatric disease and in 22 individuals from exome-sequenced samples of neuropsychiatric patients. The variant localizes to the critical C-terminal PDZ-binding motif of DAT and causes reduced uptake capacity, decreased surface expression, and accelerated turnover of DAT in vitro . In vivo , we demonstrate that expression of DAT-K619N in mice and dropsophila imposes impairments in dopamine transmission with accompanying changes in dopamine-directed behaviors. Importantly, both cellular studies and viral overexpression of DAT-K619N in mice show that DAT-K619N has a dominant-negative effect which collectively implies that a single dominant-negative genetic DAT variant can confer risk for neuropsychiatric disease and neurodegenerative early-onset parkinsonism.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| 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".