Literature DB >> 35947335

DNA methylation trajectories and accelerated epigenetic aging in incident type 2 diabetes.

Eliza Fraszczyk1,2, Chris H L Thio1, Paul Wackers2, Martijn E T Dollé2, Vincent W Bloks3, Hennie Hodemaekers2, H Susan Picavet4, Marjolein Stynenbosch2, W M Monique Verschuren4,5, Harold Snieder1, Annemieke M W Spijkerman4, Mirjam Luijten6.   

Abstract

DNA methylation (DNAm) patterns across the genome changes during aging and development of complex diseases including type 2 diabetes (T2D). Our study aimed to estimate DNAm trajectories of CpG sites associated with T2D, epigenetic age (DNAmAge), and age acceleration based on four epigenetic clocks (GrimAge, Hannum, Horvath, phenoAge) in the period 10 years prior to and up to T2D onset. In this nested case-control study within Doetinchem Cohort Study, we included 132 incident T2D cases and 132 age- and sex-matched controls. DNAm was measured in blood using the Illumina Infinium Methylation EPIC array. From 107 CpG sites associated with T2D, 10 CpG sites (9%) showed different slopes of DNAm trajectories over time (p < 0.05) and an additional 8 CpG sites (8%) showed significant differences in DNAm levels (at least 1%, p-value per time point < 0.05) at all three time points with nearly parallel trajectories between incident T2D cases and controls. In controls, age acceleration levels were negative (slower epigenetic aging), while in incident T2D cases, levels were positive, suggesting accelerated aging in the case group. We showed that DNAm levels at specific CpG sites, up to 10 years before T2D onset, are different between incident T2D cases and healthy controls and distinct patterns of clinical traits over time may have an impact on those DNAm profiles. Up to 10 years before T2D diagnosis, cases manifested accelerated epigenetic aging. Markers of biological aging including age acceleration estimates based on Horvath need further investigation to assess their utility for predicting age-related diseases including T2D.
© 2022. The Author(s), under exclusive licence to American Aging Association.

Entities:  

Keywords:  Aging markers; Biological age; DNA methylation; Epigenetic clock; Type 2 diabetes

Year:  2022        PMID: 35947335     DOI: 10.1007/s11357-022-00626-z

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  50 in total

1.  The Concordance and Heritability of Type 2 Diabetes in 34,166 Twin Pairs From International Twin Registers: The Discordant Twin (DISCOTWIN) Consortium.

Authors:  Gonneke Willemsen; Kirsten J Ward; Christopher G Bell; Kaare Christensen; Jocelyn Bowden; Christine Dalgård; Jennifer R Harris; Jaakko Kaprio; Robert Lyle; Patrik K E Magnusson; Karen A Mather; Juan R Ordoňana; Francisco Perez-Riquelme; Nancy L Pedersen; Kirsi H Pietiläinen; Perminder S Sachdev; Dorret I Boomsma; Tim Spector
Journal:  Twin Res Hum Genet       Date:  2015-12       Impact factor: 1.587

Review 2.  Physical activity and prevention of type 2 diabetes mellitus.

Authors:  Jason M R Gill; Ashley R Cooper
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

3.  Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

Authors:  Anubha Mahajan; Daniel Taliun; Matthias Thurner; Neil R Robertson; Jason M Torres; N William Rayner; Anthony J Payne; Valgerdur Steinthorsdottir; Robert A Scott; Niels Grarup; James P Cook; Ellen M Schmidt; Matthias Wuttke; Chloé Sarnowski; Reedik Mägi; Jana Nano; Christian Gieger; Stella Trompet; Cécile Lecoeur; Michael H Preuss; Bram Peter Prins; Xiuqing Guo; Lawrence F Bielak; Jennifer E Below; Donald W Bowden; John Campbell Chambers; Young Jin Kim; Maggie C Y Ng; Lauren E Petty; Xueling Sim; Weihua Zhang; Amanda J Bennett; Jette Bork-Jensen; Chad M Brummett; Mickaël Canouil; Kai-Uwe Ec Kardt; Krista Fischer; Sharon L R Kardia; Florian Kronenberg; Kristi Läll; Ching-Ti Liu; Adam E Locke; Jian'an Luan; Ioanna Ntalla; Vibe Nylander; Sebastian Schönherr; Claudia Schurmann; Loïc Yengo; Erwin P Bottinger; Ivan Brandslund; Cramer Christensen; George Dedoussis; Jose C Florez; Ian Ford; Oscar H Franco; Timothy M Frayling; Vilmantas Giedraitis; Sophie Hackinger; Andrew T Hattersley; Christian Herder; M Arfan Ikram; Martin Ingelsson; Marit E Jørgensen; Torben Jørgensen; Jennifer Kriebel; Johanna Kuusisto; Symen Ligthart; Cecilia M Lindgren; Allan Linneberg; Valeriya Lyssenko; Vasiliki Mamakou; Thomas Meitinger; Karen L Mohlke; Andrew D Morris; Girish Nadkarni; James S Pankow; Annette Peters; Naveed Sattar; Alena Stančáková; Konstantin Strauch; Kent D Taylor; Barbara Thorand; Gudmar Thorleifsson; Unnur Thorsteinsdottir; Jaakko Tuomilehto; Daniel R Witte; Josée Dupuis; Patricia A Peyser; Eleftheria Zeggini; Ruth J F Loos; Philippe Froguel; Erik Ingelsson; Lars Lind; Leif Groop; Markku Laakso; Francis S Collins; J Wouter Jukema; Colin N A Palmer; Harald Grallert; Andres Metspalu; Abbas Dehghan; Anna Köttgen; Goncalo R Abecasis; James B Meigs; Jerome I Rotter; Jonathan Marchini; Oluf Pedersen; Torben Hansen; Claudia Langenberg; Nicholas J Wareham; Kari Stefansson; Anna L Gloyn; Andrew P Morris; Michael Boehnke; Mark I McCarthy
Journal:  Nat Genet       Date:  2018-10-08       Impact factor: 38.330

Review 4.  Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis.

Authors:  Patrice Carter; Laura J Gray; Jacqui Troughton; Kamlesh Khunti; Melanie J Davies
Journal:  BMJ       Date:  2010-08-18

5.  Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity.

Authors:  Simone Wahl; Alexander Drong; Benjamin Lehne; Marie Loh; William R Scott; Sonja Kunze; Pei-Chien Tsai; Janina S Ried; Weihua Zhang; Youwen Yang; Sili Tan; Giovanni Fiorito; Lude Franke; Simonetta Guarrera; Silva Kasela; Jennifer Kriebel; Rebecca C Richmond; Marco Adamo; Uzma Afzal; Mika Ala-Korpela; Benedetta Albetti; Ole Ammerpohl; Jane F Apperley; Marian Beekman; Pier Alberto Bertazzi; S Lucas Black; Christine Blancher; Marc-Jan Bonder; Mario Brosch; Maren Carstensen-Kirberg; Anton J M de Craen; Simon de Lusignan; Abbas Dehghan; Mohamed Elkalaawy; Krista Fischer; Oscar H Franco; Tom R Gaunt; Jochen Hampe; Majid Hashemi; Aaron Isaacs; Andrew Jenkinson; Sujeet Jha; Norihiro Kato; Vittorio Krogh; Michael Laffan; Christa Meisinger; Thomas Meitinger; Zuan Yu Mok; Valeria Motta; Hong Kiat Ng; Zacharoula Nikolakopoulou; Georgios Nteliopoulos; Salvatore Panico; Natalia Pervjakova; Holger Prokisch; Wolfgang Rathmann; Michael Roden; Federica Rota; Michelle Ann Rozario; Johanna K Sandling; Clemens Schafmayer; Katharina Schramm; Reiner Siebert; P Eline Slagboom; Pasi Soininen; Lisette Stolk; Konstantin Strauch; E-Shyong Tai; Letizia Tarantini; Barbara Thorand; Ettje F Tigchelaar; Rosario Tumino; Andre G Uitterlinden; Cornelia van Duijn; Joyce B J van Meurs; Paolo Vineis; Ananda Rajitha Wickremasinghe; Cisca Wijmenga; Tsun-Po Yang; Wei Yuan; Alexandra Zhernakova; Rachel L Batterham; George Davey Smith; Panos Deloukas; Bastiaan T Heijmans; Christian Herder; Albert Hofman; Cecilia M Lindgren; Lili Milani; Pim van der Harst; Annette Peters; Thomas Illig; Caroline L Relton; Melanie Waldenberger; Marjo-Riitta Järvelin; Valentina Bollati; Richie Soong; Tim D Spector; James Scott; Mark I McCarthy; Paul Elliott; Jordana T Bell; Giuseppe Matullo; Christian Gieger; Jaspal S Kooner; Harald Grallert; John C Chambers
Journal:  Nature       Date:  2016-12-21       Impact factor: 49.962

6.  Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.

Authors:  Angli Xue; Yang Wu; Zhihong Zhu; Futao Zhang; Kathryn E Kemper; Zhili Zheng; Loic Yengo; Luke R Lloyd-Jones; Julia Sidorenko; Yeda Wu; Allan F McRae; Peter M Visscher; Jian Zeng; Jian Yang
Journal:  Nat Commun       Date:  2018-07-27       Impact factor: 14.919

Review 7.  Gene-environment interactions and epigenetic basis of human diseases.

Authors:  Liang Liu; Yuanyuan Li; Trygve O Tollefsbol
Journal:  Curr Issues Mol Biol       Date:  2008       Impact factor: 2.081

Review 8.  Gene-environment and gene-treatment interactions in type 2 diabetes: progress, pitfalls, and prospects.

Authors:  Paul W Franks; Ewan Pearson; Jose C Florez
Journal:  Diabetes Care       Date:  2013-05       Impact factor: 19.112

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

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

10.  DNA methylation GrimAge strongly predicts lifespan and healthspan.

Authors:  Ake T Lu; Austin Quach; James G Wilson; Alex P Reiner; Abraham Aviv; Kenneth Raj; Lifang Hou; Andrea A Baccarelli; Yun Li; James D Stewart; Eric A Whitsel; Themistocles L Assimes; Luigi Ferrucci; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2019-01-21       Impact factor: 5.682

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