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Biological age in healthy elderly predicts aging-related diseases including dementia. / Wu, Julia W.; Yaqub, Amber; Ma, Yuan et al.

In: Scientific reports, Vol. 11, No. 1, 15929, 01.12.2021.

Research output: Contribution to journal › Article › Academic › peer-review

Harvard

Wu, JW, Yaqub, A, Ma, Y, Koudstaal, W, Hofman, A, Ikram, MA, Ghanbari, M & Goudsmit, J 2021, 'Biological age in healthy elderly predicts aging-related diseases including dementia', Scientific reports, vol. 11, no. 1, 15929. https://doi.org/10.1038/s41598-021-95425-5

APA

Wu, J. W., Yaqub, A., Ma, Y., Koudstaal, W., Hofman, A., Ikram, M. A., Ghanbari, M., & Goudsmit, J. (2021). Biological age in healthy elderly predicts aging-related diseases including dementia. Scientific reports, 11(1), [15929]. https://doi.org/10.1038/s41598-021-95425-5

Vancouver

Wu JW, Yaqub A, Ma Y, Koudstaal W, Hofman A, Ikram MA et al. Biological age in healthy elderly predicts aging-related diseases including dementia. Scientific reports. 2021 Dec 1;11(1):15929. doi: 10.1038/s41598-021-95425-5

Author

Wu, Julia W. ; Yaqub, Amber ; Ma, Yuan et al. / Biological age in healthy elderly predicts aging-related diseases including dementia. In: Scientific reports. 2021 ; Vol. 11, No. 1.

BibTeX

@article{5c4f2c7708144c1dbdf952aac1e8f574,
title = "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 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.",
author = "Wu, {Julia W.} and Amber Yaqub and Yuan Ma and Wouter Koudstaal and Albert Hofman and Ikram, {M. Arfan} and Mohsen Ghanbari and Jaap Goudsmit",
note = "Funding Information: We gratefully acknowledge the dedication, commitment, and contribution of inhabitants, general practitioners, and pharmacists of the Ommoord district to the Rotterdam Study. The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam; Netherlands Organization for the Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); the Ministry of Education, Culture and Science; the Ministry for Health, Welfare and Sports; the European Commission (DG XII), and the Municipality of Rotterdam. This work was partially supported by an unrestricted grant from the Janssen Prevention Center (JWW, JG, AH). The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
month = dec,
day = "1",
doi = "10.1038/s41598-021-95425-5",
language = "English",
volume = "11",
journal = "Scientific reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - Biological age in healthy elderly predicts aging-related diseases including dementia

AU - Wu, Julia W.

AU - Yaqub, Amber

AU - Ma, Yuan

AU - Koudstaal, Wouter

AU - Hofman, Albert

AU - Ikram, M. Arfan

AU - Ghanbari, Mohsen

AU - Goudsmit, Jaap

N1 - Funding Information: We gratefully acknowledge the dedication, commitment, and contribution of inhabitants, general practitioners, and pharmacists of the Ommoord district to the Rotterdam Study. The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam; Netherlands Organization for the Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); the Ministry of Education, Culture and Science; the Ministry for Health, Welfare and Sports; the European Commission (DG XII), and the Municipality of Rotterdam. This work was partially supported by an unrestricted grant from the Janssen Prevention Center (JWW, JG, AH). The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Publisher Copyright: © 2021, The Author(s).

PY - 2021/12/1

Y1 - 2021/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85111969313&partnerID=8YFLogxK

U2 - 10.1038/s41598-021-95425-5

DO - 10.1038/s41598-021-95425-5

M3 - Article

C2 - 34354164

VL - 11

JO - Scientific reports

JF - Scientific reports

SN - 2045-2322

IS - 1

M1 - 15929

ER -

ID: 19278439