Maternal Glycemic Dysregulation During Pregnancy and Neonatal Blood DNA Methylation: Meta-analyses of Epigenome-Wide Association Studies

Author:

Tobi Elmar W.1ORCID,Juvinao-Quintero Diana L.2,Ronkainen Justiina3,Ott Raffael456,Alfano Rossella7,Canouil Mickaël89,Geurtsen Madelon L.1011,Khamis Amna8912ORCID,Küpers Leanne K.1011,Lim Ives Y.1314,Perron Patrice1516,Pesce Giancarlo1718,Tuhkanen Johanna19,Starling Anne P.2021,Andrew Toby12,Binder Elisabeth2223,Caiazzo Robert24,Chan Jerry K.Y.2526,Gaillard Romy1011ORCID,Gluckman Peter D.1427ORCID,Keikkala Elina2829,Karnani Neerja131430ORCID,Mustaniemi Sanna2829,Nawrot Tim S.7,Pattou François24,Plusquin Michelle7,Raverdy Violeta24,Tan Kok Hian2631,Tzala Evangelia32,Raikkonen Katri19,Winkler Christiane456,Ziegler Anette-G.456ORCID,Annesi-Maesano Isabella33,Bouchard Luigi3435ORCID,Chong Yap Seng1436ORCID,Dabelea Dana202137,Felix Janine F.1011,Heude Barbara38,Jaddoe Vincent W.V.1011ORCID,Lahti Jari19,Reimann Brigitte7,Vääräsmäki Marja29,Bonnefond Amélie8912,Froguel Philippe8912ORCID,Hummel Sandra456ORCID,Kajantie Eero28293940,Jarvelin Marjo-Riita3324142,Steegers-Theunissen Regine P.M.1,Howe Caitlin G.43ORCID,Hivert Marie-France244ORCID,Sebert Sylvain3

Affiliation:

1. Division of Obstetrics and Prenatal Medicine, Department of Obstetrics and Gynaecology, Erasmus MC, Rotterdam, the Netherlands

2. Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA

3. Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland

4. Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany

5. Forschergruppe Diabetes, Technical University Munich, Klinikum rechts der Isar, Munich, Germany

6. Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Munich-Neuherberg, Germany

7. Center for Environmental Sciences, University of Hasselt, Hasselt, Belgium

8. INSERM U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France

9. University of Lille, Lille University Hospital, Lille, France

10. The Generation R Study Group, Erasmus MC, Rotterdam, the Netherlands

11. Department of Pediatrics, Erasmus MC, Rotterdam, the Netherlands

12. Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K.

13. Bioinformatics Institute, A*STAR, Singapore

14. Singapore Institute for Clinical Sciences, A*STAR, Singapore

15. Department of Medicine, Universite de Sherbrooke, Sherbrooke, Canada

16. Research Center, Centre hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada

17. Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health (CESP), INSERM, Villejuif, France

18. Sorbonne Université and INSERM, Team EPAR, Institut Pierre Louis D’Épidémiologie et de Santé Publique, Paris, France

19. Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland

20. Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO

21. Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO

22. Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany

23. Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA

24. University of Lille, CHU Lille, Inserm, Institut Pasteur Lille, U1190 Translational Research for Diabetes, Lille, France

25. Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore

26. Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore

27. Liggins Institute, University of Auckland, Aukland, New Zealand

28. Population Health Unit, Finnish Institute for Health and Welfare, Oulu, Finland

29. PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland

30. Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

31. Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, Singapore

32. MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.

33. Montpellier University, INSERM, Institut Desbrest d’Épidémiologie et de Santé Publique (IDESP), Montpellier, France

34. Department of Biochemistry and Functional Genomics, Universite de Sherbrooke, Sherbrooke, Canada

35. Department of Laboratory Medicine, CIUSSS du Saguenay–Lac-St-Jean, Hôpital Universitaire de Chicoutimi, Canada

36. Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore

37. Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO

38. Université de Paris, Inserm, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Paris, France

39. Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway

40. Children’s Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland

41. Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland

42. Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, U.K.

43. Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH

44. Diabetes Unit, Massachusetts General Hospital, Boston, MA

Abstract

OBJECTIVE Maternal glycemic dysregulation during pregnancy increases the risk of adverse health outcomes in her offspring, a risk thought to be linearly related to maternal hyperglycemia. It is hypothesized that changes in offspring DNA methylation (DNAm) underline these associations. RESEARCH DESIGN AND METHODS To address this hypothesis, we conducted fixed-effects meta-analyses of epigenome-wide association study (EWAS) results from eight birth cohorts investigating relationships between cord blood DNAm and fetal exposure to maternal glucose (Nmaximum = 3,503), insulin (Nmaximum = 2,062), and area under the curve of glucose (AUCgluc) following oral glucose tolerance tests (Nmaximum = 1,505). We performed lookup analyses for identified cytosine-guanine dinucleotides (CpGs) in independent observational cohorts to examine associations between DNAm and cardiometabolic traits as well as tissue-specific gene expression. RESULTS Greater maternal AUCgluc was associated with lower cord blood DNAm at neighboring CpGs cg26974062 (β [SE] −0.013 [2.1 × 10−3], P value corrected for false discovery rate [PFDR] = 5.1 × 10−3) and cg02988288 (β [SE]−0.013 [2.3 × 10−3], PFDR = 0.031) in TXNIP. These associations were attenuated in women with GDM. Lower blood DNAm at these two CpGs near TXNIP was associated with multiple metabolic traits later in life, including type 2 diabetes. TXNIP DNAm in liver biopsies was associated with hepatic expression of TXNIP. We observed little evidence of associations between either maternal glucose or insulin and cord blood DNAm. CONCLUSIONS Maternal hyperglycemia, as reflected by AUCgluc, was associated with lower cord blood DNAm at TXNIP. Associations between DNAm at these CpGs and metabolic traits in subsequent lookup analyses suggest that these may be candidate loci to investigate in future causal and mediation analyses.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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