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Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in Apolipoprotein E ε4 Carriers

Understanding the neurobiological underpinnings between established multimodal dementia risk factors and noninvasive blood-based biomarkers may lead to greater precision and earlier identification of older adults at risk of accelerated decline and dementia. We examined whether key vascular and genet...

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Autores principales: Sapkota, Shraddha, Erickson, Kelsey, Fletcher, Evan, Tomaszewski Farias, Sarah E., Jin, Lee-Way, DeCarli, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121244/
https://www.ncbi.nlm.nih.gov/pubmed/37021572
http://dx.doi.org/10.1161/STROKEAHA.122.041854
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author Sapkota, Shraddha
Erickson, Kelsey
Fletcher, Evan
Tomaszewski Farias, Sarah E.
Jin, Lee-Way
DeCarli, Charles
author_facet Sapkota, Shraddha
Erickson, Kelsey
Fletcher, Evan
Tomaszewski Farias, Sarah E.
Jin, Lee-Way
DeCarli, Charles
author_sort Sapkota, Shraddha
collection PubMed
description Understanding the neurobiological underpinnings between established multimodal dementia risk factors and noninvasive blood-based biomarkers may lead to greater precision and earlier identification of older adults at risk of accelerated decline and dementia. We examined whether key vascular and genetic risk impact the association between cerebral amyloid burden and plasma aβ (amyloid β) 42/40 in nondemented older adults. METHODS: We used nondemented older adults from the UCD-ADRC (University of California, Davis-Alzheimer’s Disease Research Center) study (n=96) and Alzheimer’s Disease Neuroimaging Initiative (n=104). Alzheimer’s Disease Neuroimaging Initiative was examined as confirmatory study cohort. We followed a cross-sectional design and examined linear regression followed by mediation analyses. Vascular risk score was obtained as the sum of hypertension, diabetes, hyperlipidemia, coronary artery disease, and cerebrovascular disease. Apolipoprotein E (APOE) ε4+ risk was genotyped, and plasma aβ42 and aβ40 were assayed. Cerebral amyloid burden was quantified using Florbetapir-PET scans. Baseline age was included as a covariate in all models. RESULTS: Vascular risk significantly predicted cerebral amyloid burden in Alzheimer’s Disease Neuroimaging Initiative but not in the UCD-ADRC cohort. Cerebral amyloid burden was associated with plasma aβ 42/40 in both cohorts. Higher vascular risk increased cerebral amyloid burden was indirectly associated with reduced plasma aβ 42/40 in Alzheimer’s Disease Neuroimaging Initiative but not in UCD-ADRC cohort. However, when stratified by APOE ε4+ risk, we consistently observed this indirect relationship only in APOE ε4+ carriers across both cohorts. CONCLUSIONS: Vascular risk is indirectly associated with the level of plasma aβ 42/40 via cerebral amyloid burden only in APOE ε4+ carriers. Nondemented older adults with genetic vulnerability to dementia and accelerated decline may benefit from careful monitoring of vascular risk factors directly associated with cerebral amyloid burden and indirectly with plasma aβ 42/40.
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spelling pubmed-101212442023-04-24 Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in Apolipoprotein E ε4 Carriers Sapkota, Shraddha Erickson, Kelsey Fletcher, Evan Tomaszewski Farias, Sarah E. Jin, Lee-Way DeCarli, Charles Stroke Original Contributions Understanding the neurobiological underpinnings between established multimodal dementia risk factors and noninvasive blood-based biomarkers may lead to greater precision and earlier identification of older adults at risk of accelerated decline and dementia. We examined whether key vascular and genetic risk impact the association between cerebral amyloid burden and plasma aβ (amyloid β) 42/40 in nondemented older adults. METHODS: We used nondemented older adults from the UCD-ADRC (University of California, Davis-Alzheimer’s Disease Research Center) study (n=96) and Alzheimer’s Disease Neuroimaging Initiative (n=104). Alzheimer’s Disease Neuroimaging Initiative was examined as confirmatory study cohort. We followed a cross-sectional design and examined linear regression followed by mediation analyses. Vascular risk score was obtained as the sum of hypertension, diabetes, hyperlipidemia, coronary artery disease, and cerebrovascular disease. Apolipoprotein E (APOE) ε4+ risk was genotyped, and plasma aβ42 and aβ40 were assayed. Cerebral amyloid burden was quantified using Florbetapir-PET scans. Baseline age was included as a covariate in all models. RESULTS: Vascular risk significantly predicted cerebral amyloid burden in Alzheimer’s Disease Neuroimaging Initiative but not in the UCD-ADRC cohort. Cerebral amyloid burden was associated with plasma aβ 42/40 in both cohorts. Higher vascular risk increased cerebral amyloid burden was indirectly associated with reduced plasma aβ 42/40 in Alzheimer’s Disease Neuroimaging Initiative but not in UCD-ADRC cohort. However, when stratified by APOE ε4+ risk, we consistently observed this indirect relationship only in APOE ε4+ carriers across both cohorts. CONCLUSIONS: Vascular risk is indirectly associated with the level of plasma aβ 42/40 via cerebral amyloid burden only in APOE ε4+ carriers. Nondemented older adults with genetic vulnerability to dementia and accelerated decline may benefit from careful monitoring of vascular risk factors directly associated with cerebral amyloid burden and indirectly with plasma aβ 42/40. Lippincott Williams & Wilkins 2023-04-06 2023-05 /pmc/articles/PMC10121244/ /pubmed/37021572 http://dx.doi.org/10.1161/STROKEAHA.122.041854 Text en © 2023 The Authors. https://creativecommons.org/licenses/by-nc-nd/4.0/Stroke is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Original Contributions
Sapkota, Shraddha
Erickson, Kelsey
Fletcher, Evan
Tomaszewski Farias, Sarah E.
Jin, Lee-Way
DeCarli, Charles
Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in Apolipoprotein E ε4 Carriers
title Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in Apolipoprotein E ε4 Carriers
title_full Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in Apolipoprotein E ε4 Carriers
title_fullStr Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in Apolipoprotein E ε4 Carriers
title_full_unstemmed Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in Apolipoprotein E ε4 Carriers
title_short Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in Apolipoprotein E ε4 Carriers
title_sort vascular risk predicts plasma amyloid β 42/40 through cerebral amyloid burden in apolipoprotein e ε4 carriers
topic Original Contributions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121244/
https://www.ncbi.nlm.nih.gov/pubmed/37021572
http://dx.doi.org/10.1161/STROKEAHA.122.041854
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