Early wave reflection of carotid artery is associated with 18F-FDG PET hypometabolism in Alzheimer's brain areas of cognitively normal adults.


Journal

Journal of hypertension
ISSN: 1473-5598
Titre abrégé: J Hypertens
Pays: Netherlands
ID NLM: 8306882

Informations de publication

Date de publication:
02 Oct 2024
Historique:
received: 13 06 2024
accepted: 26 08 2024
medline: 1 10 2024
pubmed: 1 10 2024
entrez: 1 10 2024
Statut: aheadofprint

Résumé

Arterial stiffening likely plays a role in Alzheimer disease (AD) pathogenesis. The current study investigated whether inter-individual variations in arterial stiffness and pressure wave parameters were associated with 18F-FDG positron emission tomography (PET) metabolism in AD-associated brain areas throughout adulthood, independently of age and before the onset of any neuropsychological disorders. A prospective, large age-range population of 67 patients (17 young, 16 middle-aged, and 34 older adults; 37 women) underwent a: brain 18F-FDG PET, blood pressure recording, and carotid/femoral pulse wave-based measurements, including the time-to-peak of the reflected backward carotid pulse wave (bT), on the same day. Multivariable and quantitative voxel-to-voxel analyses (P-voxel < 0.005, corrected for cluster volumes) were conducted to assess associations between vascular parameters and 18F-FDG PET metabolism in AD-associated brain areas. In the multivariable analysis, only increased age and decreased bT were independently associated with the decline of metabolic activity in AD-associated brain areas (P < 0.001). In the voxel-to-voxel analysis with age as a covariate, bT was strongly associated with the metabolic activity of 40 clusters in AD-associated brain areas (clusters cumulative volume: 63 cm3; T score max: 5.7). In a large age-range population of adult patients, who are still unaffected by neuropsychological disorders, an early reflected arterial pressure wave, as evidenced by a decreased bT value, is strongly associated with hypometabolic activity of AD-associated brain areas, independently of age.

Identifiants

pubmed: 39351888
doi: 10.1097/HJH.0000000000003886
pii: 00004872-990000000-00557
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

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Auteurs

Gaétan Zimmermann (G)

Université de Lorraine, CHRU Nancy, Department of Nuclear Medicine and Nancyclotep Imaging Platform.

Laure Joly (L)

Université de Lorraine, CHRU-Nancy, Geriatric Department, Nancy.
Université de Lorraine, INSERM, DCAC, Vandoeuvre Les Nancy.

Pauline Schoepfer (P)

Université de Lorraine, CHRU-Nancy, Geriatric Department, Nancy.

Matthieu Doyen (M)

Université de Lorraine, IADI, INSERM U1254, Nancy, France.

Veronique Roch (V)

Université de Lorraine, CHRU Nancy, Department of Nuclear Medicine and Nancyclotep Imaging Platform.

Rachel Grignon (R)

Université de Lorraine, CHRU Nancy, Department of Nuclear Medicine and Nancyclotep Imaging Platform.

Paolo Salvi (P)

Cardiology Unit, Instituto Auxologico Italiano, IRCCS, Milan, Italy.

Pierre-Yves Marie (PY)

Université de Lorraine, CHRU Nancy, Department of Nuclear Medicine and Nancyclotep Imaging Platform.
Université de Lorraine, INSERM, DCAC, Vandoeuvre Les Nancy.

Athanase Benetos (A)

Université de Lorraine, CHRU-Nancy, Geriatric Department, Nancy.
Université de Lorraine, INSERM, DCAC, Vandoeuvre Les Nancy.

Antoine Verger (A)

Université de Lorraine, CHRU Nancy, Department of Nuclear Medicine and Nancyclotep Imaging Platform.
Université de Lorraine, IADI, INSERM U1254, Nancy, France.

Classifications MeSH