A1 Refereed original research article in a scientific journal

BMI is positively associated with accelerated epigenetic aging in twin pairs discordant for body mass index




AuthorsLundgren Sara, Kuitunen Sara, Pietiläinen Kirsi H., Hurme Mikko, Kähönen Mika, Männistö Satu, Perola Markus, Lehtimäki Terho, Raitakari Olli, Kaprio Jaakko, Ollikainen Miina

PublisherWILEY

Publication year2022

JournalJournal of Internal Medicine

Journal name in sourceJOURNAL OF INTERNAL MEDICINE

Journal acronymJ INTERN MED

Volume292

Issue2

First page 627

Last page640

Number of pages14

ISSN0954-6820

eISSN1365-2796

DOIhttps://doi.org/10.1111/joim.13528

Web address https://onlinelibrary.wiley.com/doi/10.1111/joim.13528

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/176166174


Abstract

Background
Obesity is a heritable complex phenotype that can increase the risk of age-related outcomes. Biological age can be estimated from DNA methylation (DNAm) using various "epigenetic clocks." Previous work suggests individuals with elevated weight also display accelerated aging, but results vary by epigenetic clock and population. Here, we utilize the new epigenetic clock GrimAge, which closely correlates with mortality.

Objectives
We aimed to assess the cross-sectional association of body mass index (BMI) with age acceleration in twins to limit confounding by genetics and shared environment.

Methods and results
Participants were from the Finnish Twin Cohort (FTC; n = 1424), including monozygotic (MZ) and dizygotic (DZ) twin pairs, and DNAm was measured using the Illumina 450K array. Multivariate linear mixed effects models including MZ and DZ twins showed an accelerated epigenetic age of 1.02 months (p-value = 6.1 x 10(-12)) per one-unit BMI increase. Additionally, heavier twins in a BMI-discordant MZ twin pair (Delta BMI >3 kg/m(2)) had an epigenetic age 5.2 months older than their lighter cotwin (p-value = 0.0074). We also found a positive association between log (homeostatic model assessment of insulin resistance) and age acceleration, confirmed by a meta-analysis of the FTC and two other Finnish cohorts (overall effect = 0.45 years, p-value = 4.1 x 10(-25)) from adjusted models.

Conclusion
We identified significant associations of BMI and insulin resistance with age acceleration based on GrimAge, which were not due to genetic effects on BMI and aging. Overall, these results support a role of BMI in aging, potentially in part due to the effects of insulin resistance.


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Last updated on 2024-26-11 at 16:45