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

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 deme...

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Bibliographic Details
Published in:Scientific reports Vol. 11; no. 1; pp. 15929 - 10
Main Authors: Wu, Julia W., Yaqub, Amber, Ma, Yuan, Koudstaal, Wouter, Hofman, Albert, Ikram, M. Arfan, Ghanbari, Mohsen, Goudsmit, Jaap
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 05.08.2021
Nature Publishing Group
Nature Portfolio
Subjects:
692/308
692/53
Age
Age Factors
Aged
Aged, 80 and over
Aging
Aging - physiology
Algorithms
Biomarkers
Cohort Studies
Dementia
Dementia - pathology
Dementia disorders
Epigenetics
Female
Geriatrics
Health Status
Healthy Aging - physiology
Humanities and Social Sciences
Humans
Life span
Longevity
Male
MicroRNAs
MicroRNAs - genetics
miRNA
Morbidity
Mortality
multidisciplinary
Older people
Prognosis
Science
Science (multidisciplinary)
ISSN:2045-2322, 2045-2322
Online Access:Get full text
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Summary: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.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-95425-5