Patterns of Aging Changes in Bodyweight May Predict Alzheimer's Disease
Svetlana Ukraintseva1, Hongzhe Duan1, Rachel Holmes1
1Biodemography of Aging Research Unit (BARU), Social Science Research Institute, Duke University, Durham, NC, USA.
Journal of Alzheimer'S Disease : JAD
|December 18, 2023
Summary
Women who develop Alzheimer's disease (AD) show lower body weight decades before diagnosis. Earlier peak weight and steeper weight loss predict higher AD risk, suggesting accelerated aging.
Area of Science:
- Gerontology
- Neurodegenerative Diseases
- Metabolic Health
Background:
- The relationship between body weight changes during aging and the risk of developing late-onset Alzheimer's disease (AD) remains unclear.
- This study investigates age-trajectories of body weight in relation to AD development.
- Key factors examined include age at maximum weight (AgeMax) and the rate of weight decline.
Discussion:
- Women with late-onset AD exhibited significantly lower body weight starting several decades prior to disease onset.
- Individuals who developed AD also experienced their maximum weight approximately 10 years earlier than those who remained AD-free.
- The presence of the APOE4 gene variant was associated with an earlier AgeMax and a steeper decline in body weight.
Key Insights:
- An earlier AgeMax and a steeper slope of weight decline are associated with an increased risk of late-onset AD.
- Conversely, a later AgeMax and a flatter slope of weight decline predict a lower risk of AD.
- These findings suggest that premature weight decline may indicate accelerated physical aging, potentially contributing to AD pathogenesis.
Outlook:
- Further research is warranted to elucidate the precise mechanisms linking body weight dynamics and AD.
- Investigating interventions targeting metabolic health and aging processes could offer novel strategies for AD prevention.
- Longitudinal studies incorporating detailed metabolic and aging markers are needed to confirm these associations.
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