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Interactions Between Brain (18)F-FDG PET Metabolism and Hemodynamic Parameters at Different Ages of Life: Results From a Prospective Cross-Sectional Study

Brain (18)F-FDG PET imaging is useful to characterize accelerated brain aging at a pre-symptomatic stage. This study aims to examine the interactions between brain glycolytic metabolism and hemodynamic parameters in different age groups. Methods: A total of 72 patients (from 23 to 88 years of age, 3...

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Autores principales: Zimmermann, Gaétan, Joly, Laure, Schoepfer, Pauline, Doyen, Matthieu, Roch, Veronique, Grignon, Rachel, Salvi, Paolo, Marie, Pierre-Yves, Benetos, Athanase, Verger, Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273887/
https://www.ncbi.nlm.nih.gov/pubmed/35837479
http://dx.doi.org/10.3389/fnagi.2022.908063
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author Zimmermann, Gaétan
Joly, Laure
Schoepfer, Pauline
Doyen, Matthieu
Roch, Veronique
Grignon, Rachel
Salvi, Paolo
Marie, Pierre-Yves
Benetos, Athanase
Verger, Antoine
author_facet Zimmermann, Gaétan
Joly, Laure
Schoepfer, Pauline
Doyen, Matthieu
Roch, Veronique
Grignon, Rachel
Salvi, Paolo
Marie, Pierre-Yves
Benetos, Athanase
Verger, Antoine
author_sort Zimmermann, Gaétan
collection PubMed
description Brain (18)F-FDG PET imaging is useful to characterize accelerated brain aging at a pre-symptomatic stage. This study aims to examine the interactions between brain glycolytic metabolism and hemodynamic parameters in different age groups. Methods: A total of 72 patients (from 23 to 88 years of age, 38 women) without any cerebral diseases but with available cardiac, arterial peripheral, and central blood pressure measurements as well as arterial stiffness parameters obtained from brachial pressure and applanation tonometry and a brain (18)F-FDG PET scan were prospectively included into this study. Quantitative voxel-to-voxel analyses were carried out to test for negative associations between brain glycolytic metabolism and individual hemodynamic parameters (p-voxel of <0.001 for the whole population and <0.005 for age groups). Results: The heart rate parameter of the whole population showed the most extensive associations with brain metabolism (15,857 mm(3), T-score: 5.1), predominantly affecting the frontal and temporal regions (69% of the volume). Heart rate for the younger age group, systolic and pulse pressure for the 41–60-year-old group, and diastolic pressure for the older group were most extensively associated with brain metabolism and mainly involved the fronto-temporal lobes (respective involvement of 52.8%, 60.9%, and 65.5%) which are also the regions implicated in accelerated brain aging. Conclusion: This cross-sectional prospective study identified extensive associations between cerebral metabolism and hemodynamic parameters, indicating common aging mechanisms. Heart rate throughout adult life, systolic and pulse pressure parameters around middle age, and diastolic pressure parameters in older patients, suggest the existence of potentially therapeutic targets to prevent accelerated brain aging.
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spelling pubmed-92738872022-07-13 Interactions Between Brain (18)F-FDG PET Metabolism and Hemodynamic Parameters at Different Ages of Life: Results From a Prospective Cross-Sectional Study Zimmermann, Gaétan Joly, Laure Schoepfer, Pauline Doyen, Matthieu Roch, Veronique Grignon, Rachel Salvi, Paolo Marie, Pierre-Yves Benetos, Athanase Verger, Antoine Front Aging Neurosci Aging Neuroscience Brain (18)F-FDG PET imaging is useful to characterize accelerated brain aging at a pre-symptomatic stage. This study aims to examine the interactions between brain glycolytic metabolism and hemodynamic parameters in different age groups. Methods: A total of 72 patients (from 23 to 88 years of age, 38 women) without any cerebral diseases but with available cardiac, arterial peripheral, and central blood pressure measurements as well as arterial stiffness parameters obtained from brachial pressure and applanation tonometry and a brain (18)F-FDG PET scan were prospectively included into this study. Quantitative voxel-to-voxel analyses were carried out to test for negative associations between brain glycolytic metabolism and individual hemodynamic parameters (p-voxel of <0.001 for the whole population and <0.005 for age groups). Results: The heart rate parameter of the whole population showed the most extensive associations with brain metabolism (15,857 mm(3), T-score: 5.1), predominantly affecting the frontal and temporal regions (69% of the volume). Heart rate for the younger age group, systolic and pulse pressure for the 41–60-year-old group, and diastolic pressure for the older group were most extensively associated with brain metabolism and mainly involved the fronto-temporal lobes (respective involvement of 52.8%, 60.9%, and 65.5%) which are also the regions implicated in accelerated brain aging. Conclusion: This cross-sectional prospective study identified extensive associations between cerebral metabolism and hemodynamic parameters, indicating common aging mechanisms. Heart rate throughout adult life, systolic and pulse pressure parameters around middle age, and diastolic pressure parameters in older patients, suggest the existence of potentially therapeutic targets to prevent accelerated brain aging. Frontiers Media S.A. 2022-06-28 /pmc/articles/PMC9273887/ /pubmed/35837479 http://dx.doi.org/10.3389/fnagi.2022.908063 Text en Copyright © 2022 Zimmermann, Joly, Schoepfer, Doyen, Roch, Grignon, Salvi, Marie, Benetos and Verger. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Aging Neuroscience
Zimmermann, Gaétan
Joly, Laure
Schoepfer, Pauline
Doyen, Matthieu
Roch, Veronique
Grignon, Rachel
Salvi, Paolo
Marie, Pierre-Yves
Benetos, Athanase
Verger, Antoine
Interactions Between Brain (18)F-FDG PET Metabolism and Hemodynamic Parameters at Different Ages of Life: Results From a Prospective Cross-Sectional Study
title Interactions Between Brain (18)F-FDG PET Metabolism and Hemodynamic Parameters at Different Ages of Life: Results From a Prospective Cross-Sectional Study
title_full Interactions Between Brain (18)F-FDG PET Metabolism and Hemodynamic Parameters at Different Ages of Life: Results From a Prospective Cross-Sectional Study
title_fullStr Interactions Between Brain (18)F-FDG PET Metabolism and Hemodynamic Parameters at Different Ages of Life: Results From a Prospective Cross-Sectional Study
title_full_unstemmed Interactions Between Brain (18)F-FDG PET Metabolism and Hemodynamic Parameters at Different Ages of Life: Results From a Prospective Cross-Sectional Study
title_short Interactions Between Brain (18)F-FDG PET Metabolism and Hemodynamic Parameters at Different Ages of Life: Results From a Prospective Cross-Sectional Study
title_sort interactions between brain (18)f-fdg pet metabolism and hemodynamic parameters at different ages of life: results from a prospective cross-sectional study
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273887/
https://www.ncbi.nlm.nih.gov/pubmed/35837479
http://dx.doi.org/10.3389/fnagi.2022.908063
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