Predictors of neurodegeneration differ between cognitively normal and subsequently impaired older adults.


Journal

Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437

Informations de publication

Date de publication:
03 2019
Historique:
received: 22 06 2018
revised: 20 09 2018
accepted: 25 10 2018
pubmed: 24 12 2018
medline: 12 7 2019
entrez: 24 12 2018
Statut: ppublish

Résumé

Effects of Alzheimer's disease (AD) risk factors on brain volume changes may partly explain what happens during the preclinical AD stage in people who develop subsequent cognitive impairment (SI). We investigated predictors of neurodegeneration, measured by MRI-based volume loss, in older adults before diagnosis of cognitive impairment. There were 623 cognitively normal and 65 SI Baltimore Longitudinal Study of Aging participants (age 55-92 years) enrolled in the neuroimaging substudy from 1994 to 2015. Mixed-effects regression was used to assess the associations of AD risk factors (age, APOE e4 carrier status, diabetes, hypertension, obesity, current smoking, and elevated cholesterol) with brain regional volume change among the overall sample and by diagnostic status. Older age, APOE e4 carrier status, hypertension, and HDL cholesterol were predictors of volumetric change. Among SI participants only, hypertension, obesity, and APOE e4 carrier status were associated with greater declines in selected brain regions. SI individuals in the preclinical AD stage are vulnerable to risk factors that have either a protective or null effect in cognitively normal individuals.

Identifiants

pubmed: 30580127
pii: S0197-4580(18)30388-9
doi: 10.1016/j.neurobiolaging.2018.10.024
pmc: PMC6394867
mid: NIHMS1001263
pii:
doi:

Substances chimiques

Amyloid beta-Peptides 0

Types de publication

Journal Article Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

178-186

Subventions

Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005146
Pays : United States
Organisme : Intramural NIH HHS
ID : Z99 AG999999
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG014971
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG054409
Pays : United States
Organisme : NIH HHS
ID : S10 OD023495
Pays : United States

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

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Auteurs

Nicole M Armstrong (NM)

Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.

Yang An (Y)

Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.

Lori Beason-Held (L)

Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.

Jimit Doshi (J)

Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.

Guray Erus (G)

Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.

Luigi Ferrucci (L)

Translational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.

Christos Davatzikos (C)

Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.

Susan M Resnick (SM)

Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. Electronic address: resnicks@mail.nih.gov.

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