Evidence map›Paper›PMID 34354164›Full record

ArticleScientific reports2021

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

Julia W Wu, Amber Yaqub, Yuan Ma, Wouter Koudstaal, Albert Hofman, M Arfan Ikram, Mohsen Ghanbari, Jaap Goudsmit

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Microvascular Health as a Key Determinant of Organismal Aging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  16. Article
  17. Article
  18. Does the southern health disadvantage extend to accelerated biological aging: evidence from the health and retirement study.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  19. Observational
  20. Review

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Julia W WuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA. wew758@mail.harvard.edu.
Amber YaqubDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Yuan MaDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Wouter KoudstaalHuman Vaccines Project, New York, NY, USA.
Albert HofmanDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
M Arfan IkramDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Mohsen Ghanbari *Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Jaap Goudsmit *Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christine S Ritchie · 2019 to 2026
$36.5M
NIA NIH HHS P30 AG062421
6 · The paper itself

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.

Indexed as

AgedAged, 80 and overAge FactorsAgingBiomarkersCohort StudiesDementiaFemaleHealth StatusHealthy AgingHumansLongevityMaleMicroRNAsPrognosisBiomarkersMicroRNAs

Identifiers

PMID34354164
PMCPMC8342513

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.