Cross-sectional analysis reveals limited links between dementia risk factors and plasma biomarkers, suggesting a need for further investigation.
BACKGROUND: Plasma neurodegenerative biomarkers are a potential low-cost tool for studying Alzheimers disease and dementia in population-based research, especially in low- and middle-income countries (LMIC). However, their associations with modifiable risk factors and utility as an outcome in epidemiologic studies remain unclear. OBJECTIVE: Our objective was to estimate the cross-sectional association between modifiable lifecourse risk factors for dementia and plasma-based neurodegenerative biomarkers, and to compare those with the associations between lifecourse risk factors and cognition in a population-representative Indian sample. METHODS: Using nationally representative data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N=1625, average age 68.2 years), we estimated linear regressions to compare cross-sectional associations between lifecourse risk factors and both neurodegenerative biomarkers (β-amyloid 42/40, total-tau, phosphorylated Tau181, GFAP, NfL) and cognitive outcomes (general cognition, memory). RESULTS: Despite significant associations between seven of thirteen risk factors and cognitive outcomes, associations between risk factors and neurodegenerative biomarkers were largely null with some exceptions; for example, hypertension (β=0.17SD; 95% CI:0.08,0.26) and diabetes (β=0.21SD; 95% CI:0.09, 0.32) were associated with higher NfL. CONCLUSIONS: While we found expected associations between lifecourse risk factors for dementia and cognition, there was not strong evidence of cross-sectional associations between risk factors for dementia and plasma-based biomarkers.
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Gao et al. (2025) studied this question.
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