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Cross-sectional associations between lifecourse dementia risk factors, plasma neurodegenerative biomarkers, and cognition in older adults in India

  • Sarah Gao
  • , Alden L. Gross
  • , Leon M. Aksman
  • , Masroor Anwar
  • , Eileen M. Crimmins
  • , Sharmistha Dey
  • , Abhishek Gupta
  • , Bharat Thyagarajan
  • , Jinkook Lee
  • , Emma Nichols

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Plasma 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. 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 (amyloid-β 42/40, total-tau, phosphorylated Tau181, glial fibrillary acidic protein, neurofilament light chain) 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 neurofilament light chain. 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.

Original languageEnglish (US)
Pages (from-to)380-388
Number of pages9
JournalJournal of Alzheimer's Disease
Volume109
Issue number1
DOIs
StatePublished - Jan 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Alzheimer's disease
  • amyloid
  • biomarkers
  • cognition
  • dementia
  • plasma

PubMed: MeSH publication types

  • Journal Article

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