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Updated: Jun 13, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Genetic background and multidomain interventions in mild cognitive impairment
Kosuke Fujita1, Tetsuaki Kimura2, Akiko Yamakawa2
1Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, 474-8511, Japan.
Multidomain interventions show promise for dementia prevention, particularly in younger individuals with high genetic risk. Specific genetic variants may influence intervention effectiveness, paving the way for personalized prevention strategies.
Area of Science:
- Neuroscience
- Genetics
- Gerontology
Background:
- Dementia prevalence is rising, necessitating effective prevention strategies.
- Multidomain interventions show partial efficacy, but identifying responders is key.
- Genetic background's role in intervention effectiveness requires further investigation.
Purpose of the Study:
- To investigate the association between genetic background and the effectiveness of multidomain interventions for dementia prevention.
- To stratify participants based on polygenic risk scores (PRSs) for Alzheimer's disease.
- To identify genetic variants influencing intervention outcomes.
Main Methods:
- Utilized data from the Japan-Multimodal Intervention Trial for the Prevention of Dementia (J-MINT).
- Analyzed 289 participants with mild cognitive impairment undergoing a 18-month multidomain intervention (exercise, nutrition, cognitive, social, vascular).
- Stratified participants by Japanese Alzheimer's disease polygenic risk scores (PRSs) and age; conducted whole-genome sequencing variant analysis.
Main Results:
- In participants aged <75, those with high PRS showed significant cognitive improvement at 6 months.
- No significant cognitive improvement differences were observed in participants aged ≥75, regardless of PRS.
- Two loci (ID3 and LMO1) showed suggestive associations with reduced intervention effectiveness.
Conclusions:
- Polygenic risk scores (PRSs) can predict cognitive improvement in response to multidomain interventions.
- Identified specific genetic variants potentially modulating intervention efficacy.
- Findings support the development of personalized dementia prevention strategies based on genetic profiles.
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