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Assessing brain and biological aging trajectories associated with Alzheimer’s disease

The development of effective treatments to prevent and slow Alzheimer’s disease (AD) pathogenesis is needed in order to tackle the steady increase in the global prevalence of AD. This challenge is complicated by the need to identify key health shifts that precede the onset of AD and cognitive declin...

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Autores principales: Liang, Winnie S., Goetz, Laura H., Schork, Nicholas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650396/
https://www.ncbi.nlm.nih.gov/pubmed/36389222
http://dx.doi.org/10.3389/fnins.2022.1036102
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author Liang, Winnie S.
Goetz, Laura H.
Schork, Nicholas J.
author_facet Liang, Winnie S.
Goetz, Laura H.
Schork, Nicholas J.
author_sort Liang, Winnie S.
collection PubMed
description The development of effective treatments to prevent and slow Alzheimer’s disease (AD) pathogenesis is needed in order to tackle the steady increase in the global prevalence of AD. This challenge is complicated by the need to identify key health shifts that precede the onset of AD and cognitive decline as these represent windows of opportunity for intervening and preventing disease. Such shifts may be captured through the measurement of biomarkers that reflect the health of the individual, in particular those that reflect brain age and biological age. Brain age biomarkers provide a composite view of the health of the brain based on neuroanatomical analyses, while biological age biomarkers, which encompass the epigenetic clock, provide a measurement of the overall health state of an individual based on DNA methylation analysis. Acceleration of brain and biological ages is associated with changes in cognitive function, as well as neuropathological markers of AD. In this mini-review, we discuss brain age and biological age research in the context of cognitive decline and AD. While more research is needed, studies show that brain and biological aging trajectories are variable across individuals and that such trajectories are non-linear at older ages. Longitudinal monitoring of these biomarkers may be valuable for enabling earlier identification of divergent pathological trajectories toward AD and providing insight into points for intervention.
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spelling pubmed-96503962022-11-15 Assessing brain and biological aging trajectories associated with Alzheimer’s disease Liang, Winnie S. Goetz, Laura H. Schork, Nicholas J. Front Neurosci Neuroscience The development of effective treatments to prevent and slow Alzheimer’s disease (AD) pathogenesis is needed in order to tackle the steady increase in the global prevalence of AD. This challenge is complicated by the need to identify key health shifts that precede the onset of AD and cognitive decline as these represent windows of opportunity for intervening and preventing disease. Such shifts may be captured through the measurement of biomarkers that reflect the health of the individual, in particular those that reflect brain age and biological age. Brain age biomarkers provide a composite view of the health of the brain based on neuroanatomical analyses, while biological age biomarkers, which encompass the epigenetic clock, provide a measurement of the overall health state of an individual based on DNA methylation analysis. Acceleration of brain and biological ages is associated with changes in cognitive function, as well as neuropathological markers of AD. In this mini-review, we discuss brain age and biological age research in the context of cognitive decline and AD. While more research is needed, studies show that brain and biological aging trajectories are variable across individuals and that such trajectories are non-linear at older ages. Longitudinal monitoring of these biomarkers may be valuable for enabling earlier identification of divergent pathological trajectories toward AD and providing insight into points for intervention. Frontiers Media S.A. 2022-10-28 /pmc/articles/PMC9650396/ /pubmed/36389222 http://dx.doi.org/10.3389/fnins.2022.1036102 Text en Copyright © 2022 Liang, Goetz and Schork. 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 Neuroscience
Liang, Winnie S.
Goetz, Laura H.
Schork, Nicholas J.
Assessing brain and biological aging trajectories associated with Alzheimer’s disease
title Assessing brain and biological aging trajectories associated with Alzheimer’s disease
title_full Assessing brain and biological aging trajectories associated with Alzheimer’s disease
title_fullStr Assessing brain and biological aging trajectories associated with Alzheimer’s disease
title_full_unstemmed Assessing brain and biological aging trajectories associated with Alzheimer’s disease
title_short Assessing brain and biological aging trajectories associated with Alzheimer’s disease
title_sort assessing brain and biological aging trajectories associated with alzheimer’s disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650396/
https://www.ncbi.nlm.nih.gov/pubmed/36389222
http://dx.doi.org/10.3389/fnins.2022.1036102
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