Abstract
BackgroundPlasma neurodegenerative biomarkers are a potential low-cost tool for studying Alzheimer's disease and dementia in population-based research, especially in low- and middle-income countries. However, their associations with modifiable risk factors and utility as an outcome in epidemiologic studies remain unclear.ObjectiveOur 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.MethodsUsing 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 (amyloid-β 42/40, total-tau, phosphorylated Tau181, glial fibrillary acidic protein, neurofilament light chain) and cognitive outcomes (general cognition, memory).ResultsDespite 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 neurofilament light chain.ConclusionsWhile 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.