Association of neighborhood disadvantage with Alzheimer's disease pathology and the stability of blood-based biomarker performance - 24/11/25

Doi : 10.1016/j.tjpad.2025.100445 
Alison Myoraku a, Isabella Hausle a, Marta Mila-Aloma a, Pamela Thropp a, Laura A. Wang b, P. Murali Doraiswamy b, c, Duygu Tosun d,
for the

Alzheimer’s Disease Neuroimaging Initiative*

a Northern California Institute for Research and Education, San Francisco, CA 94121, USA 
b Neurocognitive Disorders Program, Departments of Psychiatry, Duke University, USA 
c Duke Center for the Study of Aging and the Duke Institute for Brain Sciences, USA 
d Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA 

Corresponding author at: Department of Radiology & Biomedical Imaging, University of California, San Francisco 505 Parnassus Avenue, M-391 San Francisco, CA 94143-0628, USA.Department of Radiology & Biomedical ImagingUniversity of CaliforniaSan Francisco 505 Parnassus AvenueM-391San FranciscoCA94143-0628USA

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Abstract

Background

Neighborhood-level factors, measured by the Area Deprivation Index (ADI), are linked to comorbidities of Alzheimer's disease and related dementias (ADRD). However, their direct association with AD neuropathology is unclear. The accessibility of blood-based biomarkers (BBMs) like p-tau217 and Aβ42/40 offers a scalable way to investigate these relationships.

Objectives

To examine the relationship between ADI and levels of key BBMs (p-tau217/Aβ42, p-tau217, and Aβ42/40). We also aimed to assess whether the performance of these BBMs in predicting amyloid PET positivity is consistent across different levels of neighborhood disadvantage.

Design

A cross-sectional analysis using data from an observational cohort study of the Alzheimer’s Disease Neuroimaging Initiative (ADNI).

Setting

Multicenter observational cohort conducted at 55 sites across the United States.

Participants

The study included 755 ADNI participants with ADI and amyloid PET data. A sub-cohort of 438 participants also had BBM data available.

Measurements

National ADI scores were used to stratify participants into least, intermediately, and most disadvantaged groups. Amyloid PET positivity was determined using Centiloid values. Plasma levels of p-tau217, Aβ42, and Aβ40 were measured using Fujirebio assays.

Results

ADI groups differed by sex, ethnoracial background, and MMSE scores. The intermediately disadvantaged group had 1.55 times higher odds of being amyloid PET positive compared to the least disadvantaged group. While this group also showed higher levels of plasma p-tau217/Aβ42 and p-tau217, these differences were no longer significant after accounting for the higher prevalence of amyloid positivity. Critically, the predictive accuracy of all three BBMs for amyloid PET status did not differ across the ADI groups. The p-tau217/Aβ42 ratio performed best, yielding the fewest indeterminate cases in a two-cut-point classification model.

Conclusions

The diagnostic performance of plasma AD biomarkers is robust and is not compromised by neighborhood-level disadvantage. These findings support the generalizability and equitable clinical utility of biomarkers like p-tau217/Aβ42 for AD diagnosis across diverse socioeconomic settings.

El texto completo de este artículo está disponible en PDF.

Keywords : ADI, amyloid PET, p-tau217, Aβ42


Esquema


 Alzheimer’s Disease Neuroimaging Initiative (ADNI): Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at:ADNI_Acknowledgement_List.pdf


© 2025  Publicado por Elsevier Masson SAS.
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