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The trajectory of the blood DNA methylome ageing rate is largely set before adulthood: evidence from two longitudinal studies.
Kananen, L; Marttila, S; Nevalainen, T; Kummola, L; Junttila, I; Mononen, N; Kähönen, M; Raitakari, O T; Hervonen, A; Jylhä, M; Lehtimäki, T; Hurme, M; Jylhävä, J.
Afiliación
  • Kananen L; Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland. laura.kananen@uta.fi.
  • Marttila S; Gerontology Research Center, Tampere, Finland. laura.kananen@uta.fi.
  • Nevalainen T; Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.
  • Kummola L; Gerontology Research Center, Tampere, Finland.
  • Junttila I; Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.
  • Mononen N; Gerontology Research Center, Tampere, Finland.
  • Kähönen M; School of Medicine, University of Tampere, Tampere, Finland.
  • Raitakari OT; School of Medicine, University of Tampere, Tampere, Finland.
  • Hervonen A; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
  • Jylhä M; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
  • Lehtimäki T; Department of Clinical Physiology, Tampere University Hospital and University of Tampere School of Medicine, Tampere, Finland.
  • Hurme M; Research Centre of Applied and Preventive Cardiovascular Medicine and the Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland.
  • Jylhävä J; Gerontology Research Center, Tampere, Finland.
Age (Dordr) ; 38(3): 65, 2016 Jun.
Article en En | MEDLINE | ID: mdl-27300324
ABSTRACT
The epigenetic clock, defined as the DNA methylome age (DNAmAge), is a candidate biomarker of ageing. In this study, we aimed to characterize the behaviour of this marker during the human lifespan in more detail using two follow-up cohorts (the Young Finns study, calendar age i.e. cAge range at baseline 15-24 years, 25-year-follow-up, N = 183; The Vitality 90+ study, cAge range at baseline 19-90 years, 4-year-follow-up, N = 48). We also aimed to assess the relationship between DNAmAge estimate and the blood cell distributions, as both of these measures are known to change as a function of age. The subjects' DNAmAges were determined using Horvath's calculator of epigenetic cAge. The estimate of the DNA methylome age acceleration (Δ-cAge-DNAmAge) demonstrated remarkable stability in both cohorts the individual rank orders of the DNAmAges remained largely unchanged during the follow-ups. The blood cell distributions also demonstrated significant intra-individual correlation between the baseline and follow-up time points. Interestingly, the immunosenescence-associated features (CD8+CD28- and CD4+CD28- cell proportions and the CD4/CD8 cell ratio) were tightly associated with the estimate of the DNA methylome age. In summary, our data demonstrate that the general level of Δ-cAge-DNAmAge is fixed before adulthood and appears to be quite stationary thereafter, even in the oldest-old ages. Moreover, the blood DNAmAge estimate seems to be tightly associated with ageing-associated shifts in blood cell composition, especially with those that are the hallmarks of immunosenescence. Overall, these observations contribute to the understanding of the longitudinal aspects of the DNAmAge estimate.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Daño del ADN / Envejecimiento / ADN / Epigénesis Genética Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Age (Dordr) Año: 2016 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Daño del ADN / Envejecimiento / ADN / Epigénesis Genética Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Age (Dordr) Año: 2016 Tipo del documento: Article