Longitudinal association between DNA methylation and type 2 diabetes: findings from the KORA F4/FF4 study

被引:2
作者
Lai, Liye [1 ,2 ,3 ]
Juntilla, Dave Laurence [1 ,2 ,3 ]
Del, Monica [1 ]
Gomez-Alonso, Monica [1 ,2 ]
Grallert, Harald [1 ,2 ,4 ]
Thorand, Barbara [2 ,3 ,4 ]
Farzeen, Aiman [1 ,2 ,6 ]
Rathmann, Wolfgang [7 ]
Winkelmann, Juliane [5 ,6 ,8 ,9 ]
Prokisch, Holger [5 ,6 ]
Gieger, Christian [1 ,2 ,4 ]
Herder, Christian [4 ,10 ,11 ]
Peters, Annette [2 ,3 ,4 ,12 ]
Waldenberger, Melanie [1 ,2 ,12 ]
机构
[1] German Res Ctr Environm Hlth GmbH, Res Unit Mol Epidemiol, Neuherberg, Germany
[2] German Res Ctr Environm Hlth GmbH, Inst Epidemiol, Neuherberg, Germany
[3] Ludwig Maximilians Univ Munchen, Inst Med Informat Proc Biometry & Epidemiol IBE, Fac Med, Pettenkofer Sch Publ Hlth, Munich, Germany
[4] German Ctr Diabet Res DZD, Neuherberg, Germany
[5] Tech Univ Munich, Inst Human Genet, Sch Med, Munich, Germany
[6] Helmholtz Zentrum Munchen, Inst Neurogenom, Computat Hlth Ctr, Neuherberg, Germany
[7] Heinrich Heine Univ Dusseldorf, Inst Biometr & Epidemiol, German Diabet Ctr, Leibniz Ctr Diabet Res, Dusseldorf, Germany
[8] Cluster Syst Neurol SyNergy, Munich, Germany
[9] Tech Univ Munich, Chair Neurogenet, Munich, Germany
[10] Heinrich Heine Univ Dusseldorf, Leibniz Ctr Diabet Res, Inst Clin Diabetol, German Diabet Ctr, Dusseldorf, Germany
[11] Univ Hosp Dusseldorf, Heinrich Heine Univ Dusseldorf, Med Fac, Dept Endocrinol & Diabetol, Dusseldorf, Germany
[12] German Ctr Cardiovasc Res DZHK, Partner Site Munich Heart Alliance, Munich, Germany
关键词
DNA methylation; Type; 2; diabetes; Glycemic traits; Diabetes progression; Gene expression; MELLITUS; PLACENTA; PROTEIN; BLOOD;
D O I
10.1186/s12933-024-02558-8
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundType 2 diabetes (T2D) has been linked to changes in DNA methylation levels, which can, in turn, alter transcriptional activity. However, most studies for epigenome-wide associations between T2D and DNA methylation comes from cross-sectional design. Few large-scale investigations have explored these associations longitudinally over multiple time-points.MethodsIn this longitudinal study, we examined data from the Cooperative Health Research in the Region of Augsburg (KORA) F4 and FF4 studies, conducted approximately seven years apart. Leucocyte DNA methylation was assessed using the Illumina EPIC and 450K arrays. Linear mixed-effects models were employed to identify significant associations between methylation sites and diabetes status, as well as with fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), homoeostasis model assessment of beta cell function (HOMA-B), and homoeostasis model assessment of insulin resistance (HOMA-IR). Interaction effects between diabetes status and follow-up time were also examined. Additionally, we explored CpG sites associated with persistent prediabetes or T2D, as well as the progression from normal glucose tolerance (NGT) to prediabetes or T2D. Finally, we assessed the associations between the identified CpG sites and their corresponding gene expression levels.ResultsA total of 3,501 observations from 2,556 participants, with methylation measured at least once across two visits, were included in the analyses. We identified 64 sites associated with T2D including 15 novel sites as well as known associations like those with the thioredoxin-interacting protein (TXNIP) and ATP-binding cassette sub-family G member 1 (ABCG1) genes. Of these, eight CpG sites exhibited different rates of annual methylation change between the NGT and T2D groups, and seven CpG sites were linked to the progression from NGT to prediabetes or T2D, including those annotated to mannosidase alpha class 2a member 2 (MAN2A2) and carnitine palmitoyl transferase 1 A (CPT1A). Longitudinal analysis revealed significant associations between methylation and FPG at 128 sites, HbA1c at 41 sites, and HOMA-IR at 57 sites. Additionally, we identified 104 CpG-transcript pairs in whole blood, comprising 40 unique CpG sites and 96 unique gene transcripts.ConclusionsOur study identified novel differentially methylated loci linked to T2D as well as to changes in diabetes status through a longitudinal approach. We report CpG sites with different rates of annual methylation change and demonstrate that DNA methylation associated with T2D is linked to following transcriptional differences. These findings provide new insights into the molecular mechanisms of diabetes development.
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页数:15
相关论文
共 59 条
[1]   The role of DNA methylation in the pathogenesis of type 2 diabetes mellitus [J].
Ahmed, Sanabil Ali Hassan ;
Ansari, Suraiya Anjum ;
Mensah-Brown, Eric P. K. ;
Emerald, Bright Starling .
CLINICAL EPIGENETICS, 2020, 12 (01)
[2]   DNA methylation and gene expression analysis in adipose tissue to identify new loci associated with T2D development in obesity [J].
Baca, Paulina ;
Barajas-Olmos, Francisco ;
Mirzaeicheshmeh, Elaheh ;
Zerrweck, Carlos ;
Guilbert, Lizbeth ;
Carlos Sanchez, Ernesto ;
Flores-Huacuja, Marlen ;
Villafan, Rafael ;
Martinez-Hernandez, Angelica ;
Garcia-Ortiz, Humberto ;
Contreras-Cubas, Cecilia ;
Centeno-Cruz, Federico ;
Orozco, Lorena .
NUTRITION & DIABETES, 2022, 12 (01)
[3]   Overview on Thioredoxin-Interacting Protein (TXNIP): A Potential Target for Diabetes Intervention [J].
Basnet, Rajesh ;
Basnet, Til Bahadur ;
Basnet, Buddha Bahadur ;
Khadka, Sandhya .
CURRENT DRUG TARGETS, 2022, 23 (07) :761-767
[4]  
Battram Thomas, 2022, Wellcome Open Res, V7, P41, DOI 10.12688/wellcomeopenres.17598.1
[5]   The role of DNA methylation in dyslipidaemia: A systematic review [J].
Braun, Kim V. E. ;
Voortman, Trudy ;
Dhana, Klodian ;
Troup, Jenna ;
Bramer, Wichor M. ;
Troup, John ;
Chowdhury, Rajiv ;
Dehghan, Abbas ;
Muka, Taulant ;
Franco, Oscar H. .
PROGRESS IN LIPID RESEARCH, 2016, 64 :178-191
[6]   Role of DNA Methylation in Type 2 Diabetes Etiology: Using Genotype as a Causal Anchor [J].
Elliott, Hannah R. ;
Shihab, Hashem A. ;
Lockett, Gabrielle A. ;
Holloway, John W. ;
McRae, Allan F. ;
Smith, George Davey ;
Ring, Susan M. ;
Gaunt, Tom R. ;
Relton, Caroline L. .
DIABETES, 2017, 66 (06) :1713-1722
[7]   Classification and Diagnosis of Diabetes: Standards of Care in Diabetes-2023 [J].
ElSayed, Nuha A. ;
Aleppo, Grazia ;
Aroda, Vanita R. ;
Bannuru, Raveendhara R. ;
Brown, Florence M. ;
Bruemmer, Dennis ;
Collins, Billy S. ;
Hilliard, Marisa E. ;
Isaacs, Diana ;
Johnson, Eric L. ;
Kahan, Scott ;
Khunti, Kamlesh ;
Leon, Jose ;
Lyons, Sarah K. ;
Perry, Mary Lou ;
Prahalad, Priya ;
Pratley, Richard E. ;
Seley, Jane Jeffrie ;
Stanton, Robert C. ;
Gabbay, Robert A. .
DIABETES CARE, 2023, 46 :S19-S40
[8]   Maternal gestational diabetes is associated with genome-wide DNA methylation variation in placenta and cord blood of exposed offspring [J].
Finer, Sarah ;
Mathews, Chris ;
Lowe, Rob ;
Smart, Melissa ;
Hillman, Sara ;
Foo, Lin ;
Sinha, Ajay ;
Williams, David ;
Rakyan, Vardhman K. ;
Hitman, Graham A. .
HUMAN MOLECULAR GENETICS, 2015, 24 (11) :3021-3029
[9]   Type 2 diabetes and leucocyte DNA methylation: an epigenome-wide association study in over 1,500 older adults [J].
Florath, Ines ;
Butterbach, Katja ;
Heiss, Jonathan ;
Bewerunge-Hudler, Melanie ;
Zhang, Yan ;
Schoettker, Ben ;
Brenner, Hermann .
DIABETOLOGIA, 2016, 59 (01) :130-138
[10]   Epigenome-wide association study of incident type 2 diabetes: a meta-analysis of five prospective European cohorts [J].
Fraszczyk, Eliza ;
Spijkerman, Annemieke M. W. ;
Zhang, Yan ;
Brandmaier, Stefan ;
Day, Felix R. ;
Zhou, Li ;
Wackers, Paul ;
Dolle, Martijn E. T. ;
Bloks, Vincent W. ;
Gao, Xin ;
Gieger, Christian ;
Kooner, Jaspal ;
Kriebel, Jennifer ;
Picavet, H. Susan J. ;
Rathmann, Wolfgang ;
Schottker, Ben ;
Loh, Marie ;
Verschuren, W. M. Monique ;
Van Vliet-Ostaptchouk, Jana V. ;
Wareham, Nicholas J. ;
Chambers, John C. ;
Ong, Ken K. ;
Grallert, Harald ;
Brenner, Hermann ;
Luijten, Mirjam ;
Snieder, Harold .
DIABETOLOGIA, 2022, 65 (05) :763-776