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Epigenetic Clocks and Allostatic Load Reveal Potential Sex-Specific Drivers of Biological Aging.
McCrory, Cathal; Fiorito, Giovanni; McLoughlin, Sinead; Polidoro, Silvia; Cheallaigh, Cliona Ni; Bourke, Nollaig; Karisola, Piia; Alenius, Harri; Vineis, Paolo; Layte, Richard; Kenny, Rose Anne.
Afiliación
  • McCrory C; Department of Medical Gerontology, The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland.
  • Fiorito G; Laboratory of Biostatistics, Department of Biomedical Sciences, University of Sassari, Italy.
  • McLoughlin S; Department of Medical Gerontology, The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland.
  • Polidoro S; Italian Institute for Genomic Medicine (IIGM, former HuGeF) Ireland.
  • Cheallaigh CN; Department of Clinical Medicine, Trinity College Dublin, Ireland.
  • Bourke N; Department of Medical Gerontology, The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland.
  • Karisola P; Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Finland.
  • Alenius H; Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Finland.
  • Vineis P; Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.
  • Layte R; Italian Institute for Genomic Medicine (IIGM, former HuGeF) Ireland.
  • Kenny RA; MRC Centre for Environment and Health, Imperial College London, UK.
J Gerontol A Biol Sci Med Sci ; 75(3): 495-503, 2020 02 14.
Article en En | MEDLINE | ID: mdl-31603985
ABSTRACT
Allostatic load (AL) and epigenetic clocks both attempt to characterize the accelerated aging of biological systems, but at present it is unclear whether these measures are complementary or distinct. This study examines the cross-sectional association of AL with epigenetic age acceleration (EAA) in a subsample of 490 community-dwelling older adults participating in The Irish Longitudinal study on Aging (TILDA). A battery of 14 biomarkers representing the activity of four different physiological systems immunological, cardiovascular, metabolic, renal, was used to construct the AL score. DNA methylation age was computed according to the algorithms described by Horvath, Hannum, and Levine allowing for estimation of whether an individual is experiencing accelerated or decelerated aging. Horvath, Hannum, and Levine EAA correlated 0.05, 0.03, and 0.21 with AL, respectively. Disaggregation by sex revealed that AL was more strongly associated with EAA in men compared with women as assessed using Horvath's clock. Metabolic dysregulation was a strong driver of EAA in men as assessed using Horvath and Levine's clock, while metabolic and cardiovascular dysregulation were associated with EAA in women using Levine's clock. Results indicate that AL and the epigenetic clocks are measuring different age-related variance and implicate sex-specific drivers of biological aging.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Envejecimiento / Epigénesis Genética / Alostasis Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Idioma: En Revista: J Gerontol A Biol Sci Med Sci Asunto de la revista: GERIATRIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Envejecimiento / Epigénesis Genética / Alostasis Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies Idioma: En Revista: J Gerontol A Biol Sci Med Sci Asunto de la revista: GERIATRIA Año: 2020 Tipo del documento: Article