Evidence map›Paper›PMID 39308696›Full record

ArticleAnnals of biostatistics & biometric applications2024

Differences in the Distribution of Aβ in the Brain between U.S. Veterans and Adults aged 62+ and suffering from Alzheimer's Disease.

Stanislav Kolpakov, Arseniy Yashkin, Igor Akushevich

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Article in Annals of biostatistics & biometric applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Stanislav KolpakovSocial Science Research Institute, Duke University, Durham, NC 27710.
Arseniy YashkinSocial Science Research Institute, Duke University, Durham, NC 27710.
Igor AkushevichSocial Science Research Institute, Duke University, Durham, NC 27710.

Funding

Racial and Geographic Disparities in Risk and Survival of Alzheimer's Disease and Related DementiasR01AG066133 · NIA · DUKE UNIVERSITY · PI AKUSHEVICH, IGOR · 2019 to 2023
$3.7M
Determinants of geographic disparities in mortality and multimorbidity in the U.S.R01AG057801 · NIA · DUKE UNIVERSITY · PI AKUSHEVICH, IGOR, KRAUCHANKA, YULIYA · 2019 to 2023
$2.1M
NIA NIH HHS R01 AG057801NIA NIH HHS R01 AG066133
6 · The paper itself

Abstract

Background: Elevated concentration of amyloids in the cerebrum results in elevated risks for cerebral hemorrhage and early AD onset following early depression/dementia onset. In this study, we compare patterns of amyloid depositions across eight regions of interest of the human brain between U.S. Veterans and non-Veterans adults aged 62+. Data: Data were taken from the ADNI and DoD-ADNI studies. A pseudo-randomization algorithm was applied to achieve comparability, reduce bias due to age mismatching, and account for non-treatment-related differences between subsamples extracted from DoD-ADNI and ADNI databases. The pool of participants included data about age, race, apolipoprotein ε4 allele (APOE) status, modified Hachinski Ischemic Score, education level, and geriatric depression score, which were used to build a propensity score. Predictors and outcomes: Aβ concentration, resulting from the PET image analysis, in key brain regions of interest, and two categorical variables describing the 0.79 and 1.11 cutoffs were used as outcomes, while the Veteran and AD status were used as predictors. Methods: To balance subsamples, we applied a pseudo-randomization algorithm, eliminating the observed sources of heterogeneity. We used a generalized linear model for continuous variables and the logistic regression model for binary variables. Findings: The pattern of the Aβ distribution in Veteran's brains was found to be different from the classic AD pattern. The amyloid depositions following Veteran status were concentrated in cerebellar gray matter and the cerebellum in general. In contrast, the AD pattern shows more Aβ depositions in the frontal lobe, cingulate cortex, parietal, and temporal lobes, along with higher whole-cerebrum concentration of amyloids. Since Florbetapir PET cannot distinguish between senile plaques and depositions in blood vessels, the elevated concentration of amyloids in a cerebellum for participants with the Veteran status may suppose elevated risks for cerebral hemorrhage and early AD onset following early depression/dementia onset.

Identifiers

PMID39308696
PMCPMC11416854

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.