Biological age in healthy elderly predicts aging-related diseases including dementia

Abstract Application of biological age as a measure of an individual´s health status offers new perspectives into extension of both lifespan and healthspan. While algorithms predicting mortality and most aging-related morbidities have been reported, the major shortcoming has been an inability to pre...

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Autores principales: Julia W. Wu, Amber Yaqub, Yuan Ma, Wouter Koudstaal, Albert Hofman, M. Arfan Ikram, Mohsen Ghanbari, Jaap Goudsmit
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/8a4784fa5b184545b3e5fc85ad14cfce
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spelling oai:doaj.org-article:8a4784fa5b184545b3e5fc85ad14cfce2021-12-02T14:53:34ZBiological age in healthy elderly predicts aging-related diseases including dementia10.1038/s41598-021-95425-52045-2322https://doaj.org/article/8a4784fa5b184545b3e5fc85ad14cfce2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95425-5https://doaj.org/toc/2045-2322Abstract Application of biological age as a measure of an individual´s health status offers new perspectives into extension of both lifespan and healthspan. While algorithms predicting mortality and most aging-related morbidities have been reported, the major shortcoming has been an inability to predict dementia. We present a community-based cohort study of 1930 participants with a mean age of 72 years and a follow-up period of over 7 years, using two variants of a phenotypic blood-based algorithm that either excludes (BioAge1) or includes (BioAge2) neurofilament light chain (NfL) as a neurodegenerative marker. BioAge1 and BioAge2 predict dementia equally well, as well as lifespan and healthspan. Each one-year increase in BioAge1/2 was associated with 11% elevated risk (HR 1.11; 95%CI 1.08–1.14) of mortality and 7% elevated risk (HR 1.07; 95%CI 1.05–1.09) of first morbidities. We additionally tested the association of microRNAs with age and identified 263 microRNAs significantly associated with biological and chronological age alike. Top differentially expressed microRNAs based on biological age had a higher significance level than those based on chronological age, suggesting that biological age captures aspects of aging signals at the epigenetic level. We conclude that accelerated biological age for a given age is a predictor of major age-related morbidity, including dementia, among healthy elderly.Julia W. WuAmber YaqubYuan MaWouter KoudstaalAlbert HofmanM. Arfan IkramMohsen GhanbariJaap GoudsmitNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Julia W. Wu
Amber Yaqub
Yuan Ma
Wouter Koudstaal
Albert Hofman
M. Arfan Ikram
Mohsen Ghanbari
Jaap Goudsmit
Biological age in healthy elderly predicts aging-related diseases including dementia
description Abstract Application of biological age as a measure of an individual´s health status offers new perspectives into extension of both lifespan and healthspan. While algorithms predicting mortality and most aging-related morbidities have been reported, the major shortcoming has been an inability to predict dementia. We present a community-based cohort study of 1930 participants with a mean age of 72 years and a follow-up period of over 7 years, using two variants of a phenotypic blood-based algorithm that either excludes (BioAge1) or includes (BioAge2) neurofilament light chain (NfL) as a neurodegenerative marker. BioAge1 and BioAge2 predict dementia equally well, as well as lifespan and healthspan. Each one-year increase in BioAge1/2 was associated with 11% elevated risk (HR 1.11; 95%CI 1.08–1.14) of mortality and 7% elevated risk (HR 1.07; 95%CI 1.05–1.09) of first morbidities. We additionally tested the association of microRNAs with age and identified 263 microRNAs significantly associated with biological and chronological age alike. Top differentially expressed microRNAs based on biological age had a higher significance level than those based on chronological age, suggesting that biological age captures aspects of aging signals at the epigenetic level. We conclude that accelerated biological age for a given age is a predictor of major age-related morbidity, including dementia, among healthy elderly.
format article
author Julia W. Wu
Amber Yaqub
Yuan Ma
Wouter Koudstaal
Albert Hofman
M. Arfan Ikram
Mohsen Ghanbari
Jaap Goudsmit
author_facet Julia W. Wu
Amber Yaqub
Yuan Ma
Wouter Koudstaal
Albert Hofman
M. Arfan Ikram
Mohsen Ghanbari
Jaap Goudsmit
author_sort Julia W. Wu
title Biological age in healthy elderly predicts aging-related diseases including dementia
title_short Biological age in healthy elderly predicts aging-related diseases including dementia
title_full Biological age in healthy elderly predicts aging-related diseases including dementia
title_fullStr Biological age in healthy elderly predicts aging-related diseases including dementia
title_full_unstemmed Biological age in healthy elderly predicts aging-related diseases including dementia
title_sort biological age in healthy elderly predicts aging-related diseases including dementia
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/8a4784fa5b184545b3e5fc85ad14cfce
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