A <i>DAT1</i> gene and <i>APOE</i> ε4 interaction is associated with apathy and structural brain changes in mild cognitive impairment and Alzheimer's disease
Bibliographic record
Abstract
Background Apathy in patients with Alzheimer's disease (AD) is associated with significant morbidity and is often one of the first neuropsychiatric symptoms to present in mild cognitive impairment (MCI). Apathy is associated with accelerated cognitive decline and atrophy in fronto-striatal regions of the brain. Previous work has shown a link between apathy and the APOE gene in the context of AD, as the APOE ε 4 allele is already known to be associated with the onset of AD. However, other genetic associations with apathy are largely unexplored. Objective To examine whether interactions between genetic variants related to neurotransmitter systems and regional brain atrophy are associated with apathy in patients with MCI and AD. Methods In a sample of individuals with AD (n = 266), MCI (n = 518), and cognitively normal controls (n = 378), a partial least squares correspondence analysis modeled interactions between single nucleotide polymorphisms, structural whole-brain imaging variables, and apathy. Results An interaction was found between apathy, the possession of an APOE ε4 allele combined with minor homozygosity for the DAT1 (dopamine transporter 1) gene, and regional brain atrophy. This interaction was closely linked to the MCI and AD groups. Conclusions The results point to an association of a dopaminergic genetic marker and apathy in the AD continuum and may inform future design of clinical trials of apathy, as well as new treatment targets.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".