Literature DB >> 27300324

The trajectory of the blood DNA methylome ageing rate is largely set before adulthood: evidence from two longitudinal studies.

L Kananen1,2, S Marttila3,4, T Nevalainen3,4, L Kummola5, I Junttila5,6, N Mononen6, M Kähönen7, O T Raitakari8, A Hervonen4,9, M Jylhä4,9, T Lehtimäki6,10, M Hurme3,4,6, J Jylhävä3,4.   

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.

Entities:  

Keywords:  DNA methylation; DNAmAge; Epigenetic clock; Follow-up; Immunosenescence

Mesh:

Substances:

Year:  2016        PMID: 27300324      PMCID: PMC5005919          DOI: 10.1007/s11357-016-9927-9

Source DB:  PubMed          Journal:  Age (Dordr)        ISSN: 0161-9152


  36 in total

1.  Cohort profile: the cardiovascular risk in Young Finns Study.

Authors:  Olli T Raitakari; Markus Juonala; Tapani Rönnemaa; Liisa Keltikangas-Järvinen; Leena Räsänen; Matti Pietikäinen; Nina Hutri-Kähönen; Leena Taittonen; Eero Jokinen; Jukka Marniemi; Antti Jula; Risto Telama; Mika Kähönen; Terho Lehtimäki; Hans K Akerblom; Jorma S A Viikari
Journal:  Int J Epidemiol       Date:  2008-02-08       Impact factor: 7.196

2.  Methylation of ELOVL2 gene as a new epigenetic marker of age.

Authors:  Paolo Garagnani; Maria G Bacalini; Chiara Pirazzini; Davide Gori; Cristina Giuliani; Daniela Mari; Anna M Di Blasio; Davide Gentilini; Giovanni Vitale; Sebastiano Collino; Serge Rezzi; Gastone Castellani; Miriam Capri; Stefano Salvioli; Claudio Franceschi
Journal:  Aging Cell       Date:  2012-10-14       Impact factor: 9.304

3.  Cardiovascular risk in young Finns, results from the second follow-up study.

Authors:  H K Akerblom; J Viikari; L Räsänen; V Kuusela; M Uhari; P Lautala
Journal:  Ann Med       Date:  1989-06       Impact factor: 4.709

4.  Epigenetic predictor of age.

Authors:  Sven Bocklandt; Wen Lin; Mary E Sehl; Francisco J Sánchez; Janet S Sinsheimer; Steve Horvath; Eric Vilain
Journal:  PLoS One       Date:  2011-06-22       Impact factor: 3.240

5.  The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936.

Authors:  Riccardo E Marioni; Sonia Shah; Allan F McRae; Stuart J Ritchie; Graciela Muniz-Terrera; Sarah E Harris; Jude Gibson; Paul Redmond; Simon R Cox; Alison Pattie; Janie Corley; Adele Taylor; Lee Murphy; John M Starr; Steve Horvath; Peter M Visscher; Naomi R Wray; Ian J Deary
Journal:  Int J Epidemiol       Date:  2015-01-22       Impact factor: 7.196

6.  Accelerated epigenetic aging in Down syndrome.

Authors:  Steve Horvath; Paolo Garagnani; Maria Giulia Bacalini; Chiara Pirazzini; Stefano Salvioli; Davide Gentilini; Anna Maria Di Blasio; Cristina Giuliani; Spencer Tung; Harry V Vinters; Claudio Franceschi
Journal:  Aging Cell       Date:  2015-02-09       Impact factor: 9.304

7.  Aging-associated DNA methylation changes in middle-aged individuals: the Young Finns study.

Authors:  L Kananen; S Marttila; T Nevalainen; J Jylhävä; N Mononen; M Kähönen; O T Raitakari; T Lehtimäki; M Hurme
Journal:  BMC Genomics       Date:  2016-02-09       Impact factor: 3.969

8.  Genome-wide methylation analyses of primary human leukocyte subsets identifies functionally important cell-type-specific hypomethylated regions.

Authors:  Matthias Zilbauer; Tim F Rayner; Christine Clark; Alison J Coffey; Chris J Joyce; Priit Palta; Aarno Palotie; Paul A Lyons; Kenneth G C Smith
Journal:  Blood       Date:  2013-10-24       Impact factor: 22.113

9.  DNA methylation age of human tissues and cell types.

Authors:  Steve Horvath
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

10.  Prenatal and early life influences on epigenetic age in children: a study of mother-offspring pairs from two cohort studies.

Authors:  Andrew J Simpkin; Gibran Hemani; Matthew Suderman; Tom R Gaunt; Oliver Lyttleton; Wendy L Mcardle; Susan M Ring; Gemma C Sharp; Kate Tilling; Steve Horvath; Sonja Kunze; Annette Peters; Melanie Waldenberger; Cavin Ward-Caviness; Ellen A Nohr; Thorkild I A Sørensen; Caroline L Relton; George Davey Smith
Journal:  Hum Mol Genet       Date:  2015-11-05       Impact factor: 6.150

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  28 in total

1.  Epigenetic Aging in Major Depressive Disorder.

Authors:  Laura K M Han; Moji Aghajani; Shaunna L Clark; Robin F Chan; Mohammad W Hattab; Andrey A Shabalin; Min Zhao; Gaurav Kumar; Lin Ying Xie; Rick Jansen; Yuri Milaneschi; Brian Dean; Karolina A Aberg; Edwin J C G van den Oord; Brenda W J H Penninx
Journal:  Am J Psychiatry       Date:  2018-04-16       Impact factor: 18.112

Review 2.  Patterns of DNA methylation as an indicator of biological aging: State of the science and future directions in precision health promotion.

Authors:  Shannon L Gillespie; Lynda R Hardy; Cindy M Anderson
Journal:  Nurs Outlook       Date:  2019-05-17       Impact factor: 3.250

3.  A longitudinal study of DNA methylation as a potential mediator of age-related diabetes risk.

Authors:  Crystal D Grant; Nadereh Jafari; Lifang Hou; Yun Li; James D Stewart; Guosheng Zhang; Archana Lamichhane; JoAnn E Manson; Andrea A Baccarelli; Eric A Whitsel; Karen N Conneely
Journal:  Geroscience       Date:  2017-11-20       Impact factor: 7.713

4.  Posttraumatic psychopathology and the pace of the epigenetic clock: a longitudinal investigation.

Authors:  Erika J Wolf; Mark W Logue; Filomene G Morrison; Elizabeth S Wilcox; Annjanette Stone; Steven A Schichman; Regina E McGlinchey; William P Milberg; Mark W Miller
Journal:  Psychol Med       Date:  2018-06-13       Impact factor: 7.723

5.  Prenatal gestational diabetes mellitus exposure and accelerated offspring DNA methylation age in early childhood.

Authors:  Stephanie Shiau; Leishen Wang; Huikun Liu; Yinan Zheng; Alex Drong; Brian T Joyce; Jun Wang; Weiqin Li; Junhong Leng; Yun Shen; Ru Gao; Gang Hu; Lifang Hou; Andrea A Baccarelli
Journal:  Epigenetics       Date:  2020-07-11       Impact factor: 4.528

6.  Intra-individual changes in DNA methylation not mediated by cell-type composition are correlated with aging during childhood.

Authors:  Kristina Gervin; Bettina Kulle Andreassen; Hanne Sagsveen Hjorthaug; Karin C Lødrup Carlsen; Kai-Håkon Carlsen; Dag Erik Undlien; Robert Lyle; Monica Cheng Munthe-Kaas
Journal:  Clin Epigenetics       Date:  2016-10-21       Impact factor: 6.551

7.  Obesity accelerates epigenetic aging in middle-aged but not in elderly individuals.

Authors:  Tapio Nevalainen; Laura Kananen; Saara Marttila; Juulia Jylhävä; Nina Mononen; Mika Kähönen; Olli T Raitakari; Antti Hervonen; Marja Jylhä; Terho Lehtimäki; Mikko Hurme
Journal:  Clin Epigenetics       Date:  2017-02-14       Impact factor: 6.551

8.  Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception.

Authors:  Roderick C Slieker; Caroline L Relton; Tom R Gaunt; P Eline Slagboom; Bastiaan T Heijmans
Journal:  Epigenetics Chromatin       Date:  2018-05-30       Impact factor: 4.954

9.  An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray.

Authors:  Lucas A Salas; Devin C Koestler; Rondi A Butler; Helen M Hansen; John K Wiencke; Karl T Kelsey; Brock C Christensen
Journal:  Genome Biol       Date:  2018-05-29       Impact factor: 13.583

Review 10.  The use of DNA methylation clock in aging research.

Authors:  Xi He; Jiaojiao Liu; Bo Liu; Jingshan Shi
Journal:  Exp Biol Med (Maywood)       Date:  2020-11-11
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