Document detail
ID

doi:10.1038/s41366-024-01466-x...

Author
Föhr, Tiina Hendrix, Arne Kankaanpää, Anna Laakkonen, Eija K. Kujala, Urho Pietiläinen, Kirsi H. Lehtimäki, Terho Kähönen, Mika Raitakari, Olli Wang, Xiaoling Kaprio, Jaakko Ollikainen, Miina Sillanpää, Elina
Langue
en
Editor

Nature

Category

Epidemiology

Year

2024

listing date

1/31/2024

Keywords
lifestyle associated accelerated genetics independent factors using study participants aging epigenetic mets association
Metrics

Abstract

Background Metabolic syndrome (MetS) is associated with premature aging, but whether this association is driven by genetic or lifestyle factors remains unclear.

Methods Two independent discovery cohorts, consisting of twins and unrelated individuals, were examined ( N  = 268, aged 23–69 years).

The findings were replicated in two cohorts from the same base population.

One consisted of unrelated individuals ( N  = 1 564), and the other of twins ( N  = 293).

Participants’ epigenetic age, estimated using blood DNA methylation data, was determined using the epigenetic clocks GrimAge and DunedinPACE.

The individual-level linear regression models for investigating the associations of MetS and its components with epigenetic aging were followed by within-twin-pair analyses using fixed-effects regression models to account for genetic factors.

Results In individual-level analyses, GrimAge age acceleration was higher among participants with MetS ( N  = 56) compared to participants without MetS ( N  = 212) (mean 2.078 [95% CI = 0.996,3.160] years vs. −0.549 [−1.053,−0.045] years, between-group p  = 3.5E-5).

Likewise, the DunedinPACE estimate was higher among the participants with MetS compared to the participants without MetS (1.032 [1.002,1.063] years/calendar year vs. 0.911 [0.896,0.927] years/calendar year, p  = 4.8E-11).

An adverse profile in terms of specific MetS components was associated with accelerated aging.

However, adjustments for lifestyle attenuated these associations; nevertheless, for DunedinPACE, they remained statistically significant.

The within-twin-pair analyses suggested that genetics explains these associations fully for GrimAge and partly for DunedinPACE.

The replication analyses provided additional evidence that the association between MetS components and accelerated aging is independent of the lifestyle factors considered in this study, however, suggesting that genetics is a significant confounder in this association.

Conclusions The results of this study suggests that MetS is associated with accelerated epigenetic aging, independent of physical activity, smoking or alcohol consumption, and that the association may be explained by genetics.

Föhr, Tiina,Hendrix, Arne,Kankaanpää, Anna,Laakkonen, Eija K.,Kujala, Urho,Pietiläinen, Kirsi H.,Lehtimäki, Terho,Kähönen, Mika,Raitakari, Olli,Wang, Xiaoling,Kaprio, Jaakko,Ollikainen, Miina,Sillanpää, Elina, 2024, Metabolic syndrome and epigenetic aging: a twin study, Nature

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