Association of physical activity and APOE genotype with longitudinal cognitive change in early PD
Bibliographic record
Abstract
Objective: To determine whether greater physical activity could modify the negative association of APOE ε4 with longitudinal cognitive changes in early Parkinson’s disease (PD) and to uncover the disease-specific mechanism for explaining such benefits of physical activity. Methods: We used data from the Parkinson’s Progression Markers Initiative cohort. Because self-reported physical activity, measured by the Physical Activity Scale of the Elderly, was initiated at 2 years after enrollment, this longitudinal analysis was based on assessments performed at years 2, 3, and 4. Cognitive function was measured annually with the Montreal Cognitive Assessment (MoCA). Dopamine transporter (DAT) imaging was performed at years 2 and 4. We assessed the interactive associations between physical activity and the APOE ε4 allele on the longitudinal changes in MoCA scores and striatal DAT activities. Results: A total of 173 early PD patients (age 63.3±10.0 years; 27% APOE ε4 carriers) were included. The APOE ε4 allele showed a steeper rate of cognitive decline than the non-APOE ε4 allele (estimate -1.33; 95% CI, -2.12 to -0.47; p=0.002). However, there was a significant interaction between physical activity and APOE ε4, such that higher physical activity was related to slower APOE ε4-related cognitive decline (estimate 0.007; 95% CI, 0.003 to 0.011; p=0.001). No significant interaction was found between physical activity and the APOE ε4 allele regarding the change in striatal DAT activities. Conclusion: Increased physical activity attenuated APOE ε4-related vulnerability to early cognitive decline in PD patients. This protective effect did not appear to be mediated by striatal dopaminergic function. Classification of evidence: This study provides Class II evidence that increased physical activity was associated with decreased APOE ε4-related early cognitive decline in PD patients.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".