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Modifiable dementia risk factors and AT(N) biomarkers: findings from the EPAD cohort.
Roccati, Eddy; Bindoff, Aidan David; Collins, Jessica Marie; Eastgate, Joshua; Borchard, Jay; Alty, Jane; King, Anna Elizabeth; Vickers, James Clement; Carboni, Margherita; Logan, Chad.
Afiliação
  • Roccati E; Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
  • Bindoff AD; Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
  • Collins JM; Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
  • Eastgate J; Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
  • Borchard J; Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
  • Alty J; Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
  • King AE; Royal Hobart Hospital, Hobart, TAS, Australia.
  • Vickers JC; Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
  • Carboni M; Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, TAS, Australia.
  • Logan C; Roche Diagnostics International Ltd, Rotkreuz, Switzerland.
Front Aging Neurosci ; 16: 1346214, 2024.
Article em En | MEDLINE | ID: mdl-38384935
ABSTRACT

Introduction:

Modifiable risk factors account for a substantial proportion of Alzheimer's disease (AD) cases and we currently have a discrete AT(N) biomarker profile for AD biomarkers amyloid (A), p-tau (T), and neurodegeneration (N). Here, we investigated how modifiable risk factors relate to the three hallmark AT(N) biomarkers of AD.

Methods:

Participants from the European Prevention of Alzheimer's Dementia (EPAD) study underwent clinical assessments, brain magnetic resonance imaging, and cerebrospinal fluid collection and analysis. Generalized additive models (GAMs) with penalized regression splines were modeled in the AD Workbench on the NTKApp.

Results:

A total of 1,434 participants were included (56% women, 39% APOE ε4+) with an average age of 65.5 (± 7.2) years. We found that modifiable risk factors of less education (t = 3.9, p < 0.001), less exercise (t = 2.1, p = 0.034), traumatic brain injury (t = -2.1, p = 0.036), and higher body mass index (t = -4.5, p < 0.001) were all significantly associated with higher AD biomarker burden.

Discussion:

This cross-sectional study provides further support for modifiable risk factors displaying neuroprotective associations with the characteristic AT(N) biomarkers of AD.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Aging Neurosci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Aging Neurosci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália