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000248108 1001_ $$0P:(DE-2719)2813521$$aLiu, Dan$$b0$$eFirst author
000248108 245__ $$aCardiovascular correlates of epigenetic aging across the adult lifespan: a population-based study.
000248108 260__ $$a[Cham]$$bSpringer International Publishing$$c2023
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000248108 520__ $$aIndividuals with a similar chronological age can exhibit marked differences in cardiovascular risk profiles, but it is unknown whether this variation is related to different rates of biological aging. Therefore, we investigated the relation between nine domains of cardiovascular function and four epigenetic age acceleration estimators (i.e., AgeAccel.Horvath, AgeAccel.Hannum, AgeAccelPheno, and AgeAccelGrim), derived from DNA methylation profiles. Among 4194 participants (mean age 54.2 years (range 30.0-95.0)) from the Rhineland Study, an ongoing population-based cohort study in Bonn, Germany, epigenetic age acceleration increased by 0.19-1.84 years per standard deviation (SD) increase in cardiovascular risk across multiple domains, including measures of kidney function, adiposity, and a composite cardiovascular risk score. Measures of inflammation and glucose homeostasis were associated with AgeAccel.Hannum, AgeAccelPheno, and AgeAccelGrim, but not with AgeAccel.Horvath. Moreover, effect sizes were larger for AgeAccelPheno and AgeAccelGrim than for AgeAccel.Horvath and AgeAccel.Hannum. Similarly, epigenetic age acceleration increased by 0.15-0.81 years per SD increase in markers of vascular function (blood pressure, arterial stiffness, and hemodynamic measures), whereas better endothelial function was only associated with lower AgeAccelGrim. Most effects on epigenetic age acceleration were independent, which suggests they independently contribute to different rates of biological aging.
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000248108 650_7 $$2Other$$aBiological age
000248108 650_7 $$2Other$$aCardiovascular aging
000248108 650_7 $$2Other$$aEpigenetic age acceleration
000248108 650_2 $$2MeSH$$aHumans
000248108 650_2 $$2MeSH$$aAged
000248108 650_2 $$2MeSH$$aAged, 80 and over
000248108 650_2 $$2MeSH$$aLongevity: genetics
000248108 650_2 $$2MeSH$$aCohort Studies
000248108 650_2 $$2MeSH$$aEpigenesis, Genetic: genetics
000248108 650_2 $$2MeSH$$aDNA Methylation: genetics
000248108 650_2 $$2MeSH$$aAging: genetics
000248108 693__ $$0EXP:(DE-2719)Rhineland Study-20190321$$5EXP:(DE-2719)Rhineland Study-20190321$$eRhineland Study / Bonn$$x0
000248108 7001_ $$0P:(DE-2719)2812578$$aAziz, N. Ahmad$$b1
000248108 7001_ $$0P:(DE-2719)2811125$$aPehlivan, Gökhan$$b2
000248108 7001_ $$0P:(DE-2719)2810403$$aBreteler, Monique M B$$b3$$eLast author
000248108 773__ $$0PERI:(DE-600)2886418-9$$a10.1007/s11357-022-00714-0$$n3$$p1605-1618$$tGeroScience$$v45$$x2509-2715$$y2023
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