Abstract
INTRODUCTION
Environmental exposures contribute substantially to Alzheimer’s disease and related dementias (ADRD), yet comprehensive exposome-wide investigations systematically evaluating multi-domain environmental factors remain limited and lacking utility for precision medicine.
METHODS
We conducted an exposome-wide association study (ExWAS) among 499,992 UK Biobank participants, examining 193 exposures across five domains (social, physical, chemical, lifestyle, and ecosystems). Cox proportional hazard models with Bonferroni correction identified ADRD-associated exposures. We used the XGBoost classifier to build a predictive model and further developed an exposomic risk score (ERS) for risk stratification.
RESULTS
During a 15.3-year median follow-up, 8881 participants (1.77%) developed ADRD, including 4000 with Alzheimer’s disease. ExWAS identified 76 exposures after Bonferroni correction. The prediction model achieved area under the curve (AUC) = 0.718, outperforming demographics+apolipoprotein E (APOE) status alone (AUC = 0.678). The ERS stratified ADRD risk (highest vs lowest quartile hazard ratio [HR] = 2.97, 95% confidence interval [CI]: 2.59–3.41).
DISCUSSION
The ERS has the potential to contribute to clinically relevant prevention strategies for ADRD.
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This post is Copyright: | September 30, 2026
Neuro-Dementia