Year: 2025
Type: article
Study design: Observational Study
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.
Source: UTUPub (University of Turku)
Institutions: University of Jyväskylä, KU Leuven, University of Helsinki, Helsinki University Hospital, Tampere University, Fimlab (Finland), University of Tampere, Tampere University Hospital, University of Turku, Turku University Hospital, Augusta University, Institute for Molecular Medicine Finland, Minerva Foundation
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: Foundation for Cardiovascular Research, Helsingin Yliopisto, Suomen Lääketieteen Säätiö, Yrjö Jahnssonin Säätiö, European Commission, Kela, Suomen Kulttuurirahasto, Jane ja Aatos Erkon Säätiö, Juho Vainion Säätiö, Novo Nordisk, Päivikki ja Sakari Sohlbergin Säätiö, Signe ja Ane Gyllenbergin Säätiö, Tampereen Yliopisto, Emil Aaltosen Säätiö, Jyväskylän Yliopisto, Sydäntutkimussäätiö, Tampereen Tuberkuloosisäätiö, Diabetesliitto, Paavo Nurmen Säätiö, Tays, Syöpäsäätiö, Diabetestutkimussäätiö, National Institutes of Health, National Heart, Lung, and Blood Institute
Awards: G1037428335, G1280640127, G1509028116, G1601895641, G1686171937, G1763104746, G1820233071, G1872575776, A GENOME-WIDE METHYLATION STUDY ON ESSENTIAL HYPERTENSION, G2330237237, G2384427189, G2475892237, G2513778610, G2583954406, G2683966795, G2811085312, A high-dimensional approach for unwinding immune-metabolic causes of cardiovascular disease-depression multimorbidities, G2996280776, G3213590351, G33539551, G3494606022, G3582688621, G3850253215, G3858258543, G3866446495, G3871240750, G3947144878, G4065964368, G4180513299, G4415933063, G4655867613, G4741968299, G4892916650, G4965406020, G4976537738, G5054526510, G5090981026, G5208171454, G523551622, G5242406232, G5474452856, G551036691, G5512925732, G6164432047, G6266754447, G6310393984, G6635489528, G692875121, G69797456, G7325495115, G7766767256, G7852328768, G7857482363, G7882649875, G8363947306, G8374335932, G8419078628, G8793474095, G8880324339, G8966511090
OpenAlex ID: W7137612080