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Kim C, Harrall KK, Glueck DH, Hockett C, Dabelea D. Epigenetic age acceleration is associated with speed of pubertal growth but not age of pubertal onset. Sci Rep 2024; 14:2981. [PMID: 38316849 PMCID: PMC10844280 DOI: 10.1038/s41598-024-53508-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 02/01/2024] [Indexed: 02/07/2024] Open
Abstract
Using data from a longitudinal cohort of children, we examined whether epigenetic age acceleration (EAA) was associated with pubertal growth and whether these associations were mediated by adiposity. We examined associations between EAA at approximately 10 years of age with pubertal growth metrics, including age at peak height velocity (PHV), PHV, and sex steroid levels and whether these associations were mediated by measures of adiposity including body mass index (BMI) and MRI-assessed visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). Children (n = 135) with accelerated EAA had higher PHV (β 0.018, p = 0.0008) although the effect size was small. The association between EAA and age at PHV was not significant (β - 0.0022, p = 0.067). Although EAA was associated with higher BMI (β 0.16, p = 0.0041), VAT (β 0.50, p = 0.037), and SAT (β 3.47, p = 0.0076), BMI and VAT did not mediate associations between EAA and PHV, while SAT explained 8.4% of the association. Boys with higher EAA had lower total testosterone (β - 12.03, p = 0.0014), but associations between EAA and other sex steroids were not significant, and EAA was not associated with sex steroid levels in girls. We conclude that EAA did not have strong associations with either age at onset of puberty or pubertal growth speed, although associations with growth speed were statistically significant. Studies with larger sample sizes are needed to confirm this pattern of associations.
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Affiliation(s)
- Catherine Kim
- Departments of Medicine, Obstetrics & Gynecology, and Epidemiology, University of Michigan, 2800 Plymouth Road, Building 16, Room 405E, Ann Arbor, MI, 48109, USA.
| | - Kylie K Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver, Aurora, CO, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Christine Hockett
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver, Aurora, CO, USA
- Avera Research Institute, Sioux Falls, SD, USA
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Epidemiology, University of Colorado, Aurora, CO, USA
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Meza-León A, Montoya-Estrada A, Reyes-Muñoz E, Romo-Yáñez J. Diabetes Mellitus and Pregnancy: An Insight into the Effects on the Epigenome. Biomedicines 2024; 12:351. [PMID: 38397953 PMCID: PMC10886464 DOI: 10.3390/biomedicines12020351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/17/2023] [Accepted: 01/08/2024] [Indexed: 02/25/2024] Open
Abstract
Worldwide, diabetes mellitus represents a growing health problem. If it occurs during pregnancy, it can increase the risk of various abnormalities in early and advanced life stages of exposed individuals due to fetal programming occurring in utero. Studies have determined that maternal conditions interfere with the genotypes and phenotypes of offspring. Researchers are now uncovering the mechanisms by which epigenetic alterations caused by diabetes affect the expression of genes and, therefore, the development of various diseases. Among the numerous possible epigenetic changes in this regard, the most studied to date are DNA methylation and hydroxymethylation, as well as histone acetylation and methylation. This review article addresses critical findings in epigenetic studies involving diabetes mellitus, including variations reported in the expression of specific genes and their transgenerational effects.
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Affiliation(s)
| | | | | | - José Romo-Yáñez
- Coordinación de Endocrinología Ginecológica y Perinatal, Instituto Nacional de Perinatología, Montes Urales 800, Lomas Virreyes, Mexico City 11000, Mexico
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Mijač S, Banić I, Genc AM, Lipej M, Turkalj M. The Effects of Environmental Exposure on Epigenetic Modifications in Allergic Diseases. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:110. [PMID: 38256371 PMCID: PMC10820670 DOI: 10.3390/medicina60010110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/27/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024]
Abstract
Allergic diseases are one of the most common chronic conditions and their prevalence is on the rise. Environmental exposure, primarily prenatal and early life influences, affect the risk for the development and specific phenotypes of allergic diseases via epigenetic mechanisms. Exposure to pollutants, microorganisms and parasites, tobacco smoke and certain aspects of diet are known to drive epigenetic changes that are essential for immune regulation (e.g., the shift toward T helper 2-Th2 cell polarization and decrease in regulatory T-cell (Treg) differentiation). DNA methylation and histone modifications can modify immune programming related to either pro-allergic interleukin 4 (IL-4), interleukin 13 (IL-13) or counter-regulatory interferon γ (IFN-γ) production. Differential expression of small non-coding RNAs has also been linked to the risk for allergic diseases and associated with air pollution. Certain exposures and associated epigenetic mechanisms play a role in the susceptibility to allergic conditions and specific clinical manifestations of the disease, while others are thought to have a protective role against the development of allergic diseases, such as maternal and early postnatal microbial diversity, maternal helminth infections and dietary supplementation with polyunsaturated fatty acids and vitamin D. Epigenetic mechanisms are also known to be involved in mediating the response to common treatment in allergic diseases, for example, changes in histone acetylation of proinflammatory genes and in the expression of certain microRNAs are associated with the response to inhaled corticosteroids in asthma. Gaining better insight into the epigenetic regulation of allergic diseases may ultimately lead to significant improvements in the management of these conditions, earlier and more precise diagnostics, optimization of current treatment regimes, and the implementation of novel therapeutic options and prevention strategies in the near future.
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Affiliation(s)
- Sandra Mijač
- Department of Medical Research, Srebrnjak Children’s Hospital, Srebrnjak 100, HR-10000 Zagreb, Croatia; (S.M.); (A.-M.G.)
| | - Ivana Banić
- Department of Medical Research, Srebrnjak Children’s Hospital, Srebrnjak 100, HR-10000 Zagreb, Croatia; (S.M.); (A.-M.G.)
- Department of Innovative Diagnostics, Srebrnjak Children’s Hospital, Srebrnjak 100, HR-10000 Zagreb, Croatia
| | - Ana-Marija Genc
- Department of Medical Research, Srebrnjak Children’s Hospital, Srebrnjak 100, HR-10000 Zagreb, Croatia; (S.M.); (A.-M.G.)
| | - Marcel Lipej
- IT Department, Srebrnjak Children’s Hospital, Srebrnjak 100, HR-10000 Zagreb, Croatia;
| | - Mirjana Turkalj
- Department of Pediatric Allergy and Pulmonology, Srebrnjak Children’s Hospital, Srebrnjak 100, HR-10000 Zagreb, Croatia;
- Faculty of Medicine, J.J. Strossmayer University of Osijek, J. Huttlera 4, HR-31000 Osijek, Croatia
- Faculty of Medicine, Catholic University of Croatia, Ilica 242, HR-10000 Zagreb, Croatia
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Linares-Pineda TM, Peña-Montero N, Gutiérrez-Repiso C, Lima-Rubio F, Sánchez-Pozo A, Tinahones FJ, Molina-Vega M, Picón-César MJ, Morcillo S. Epigenome wide association study in peripheral blood of pregnant women identifies potential metabolic pathways related to gestational diabetes. Epigenetics 2023; 18:2211369. [PMID: 37192269 DOI: 10.1080/15592294.2023.2211369] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/24/2023] [Accepted: 04/28/2023] [Indexed: 05/18/2023] Open
Abstract
Gestational diabetes mellitus (GDM) increases the risk of developing metabolic disorders in both pregnant women and their offspring. Factors such as nutrition or the intrauterine environment may play an important role, through epigenetic mechanisms, in the development of GDM. The aim of this work is to identify epigenetic marks involved in the mechanisms or pathways related to gestational diabetes. A total of 32 pregnant women were selected, 16 of them with GDM and 16 non-GDM. DNA methylation pattern was obtained from Illumina Methylation Epic BeadChip, from peripheral blood samples at the diagnostic visit (26-28 weeks). Differential methylated positions (DMPs) were extracted using ChAMP and limma package in R 2.9.10, with a threshold of FDR <0.05, deltabeta >|5|% and B >0. A total of 1.141 DMPs were found, and 714 were annotated in genes. A functional analysis was performed, and we found 23 genes significantly related to carbohydrate metabolism. Finally, a total of 27 DMPs were correlated with biochemical variables such as glucose levels at different points of oral glucose tolerance test, fasting glucose, cholesterol, HOMAIR and HbA1c, at different visits during pregnancy and postpartum. Our results show that there is a differentiated methylation pattern between GDM and non-GDM. Furthermore, the genes annotated to the DMPs could be implicated in the development of GDM as well as in alterations in related metabolic variables.
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Affiliation(s)
- Teresa María Linares-Pineda
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
- Departamento de Bioquímica y Biología Molecular 2, Universidad de Granada, Granada, Spain
| | - Nerea Peña-Montero
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - Carolina Gutiérrez-Repiso
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Fuensanta Lima-Rubio
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - Antonio Sánchez-Pozo
- Departamento de Bioquímica y Biología Molecular 2, Universidad de Granada, Granada, Spain
| | - Francisco J Tinahones
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Medicina y Dermatología, Universidad de Málaga, Málaga, Spain
| | - María Molina-Vega
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - María José Picón-César
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - Sonsoles Morcillo
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
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Liu M, Chan SY, Eriksson JG, Chong YS, Lee YS, Yap F, Chong MFF, Tint MT, Yang J, Burgner D, Zhang C, Li LJ. Maternal glycemic status during pregnancy and mid-childhood plasma amino acid profiles: findings from a multi-ethnic Asian birth cohort. BMC Med 2023; 21:472. [PMID: 38031185 PMCID: PMC10688057 DOI: 10.1186/s12916-023-03188-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Increasing maternal glycaemia across the continuum during pregnancy may predispose offspring to subsequent cardiometabolic risk later in life. However, evidence of long-term impacts of maternal glycemic status on offspring amino acid (AA) profiles is scarce. We aimed to investigate the association between maternal antenatal glycaemia and offspring mid-childhood amino acid (AA) profiles, which are emerging cardiometabolic biomarkers. METHODS Data were drawn from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) study, a multi-ethnic Asian birth cohort. A subset of 422 mother-child dyads from the GUSTO study, who was followed from early pregnancy to mid-childhood, was included. Mothers underwent an oral glucose tolerance test (OGTT) at 26-28 weeks gestation, with fasting and 2-h plasma glucose concentrations measured and gestational diabetes mellitus (GDM) diagnosed per WHO 1999 guidelines. Offspring fasting plasma samples were collected at mean age 6.1 years, from which AA profiles of nine AAs, alanine, glutamine, glycine, histidine, isoleucine, leucine, valine, phenylalanine, and tyrosine were measured. Total branched-chain amino acids (BCAAs) were calculated as the sum of isoleucine, leucine, and valine concentrations. Multi-variable linear regression was used to estimate the association of maternal glycemic status and offspring mid-childhood AA profiles adjusting for maternal age, ethnicity, maternal education, parity, family history of diabetes, ppBMI, child sex, age and BMI z-scores. RESULTS Approximately 20% of mothers were diagnosed with GDM. Increasing maternal fasting glucose was significantly associated with higher offspring plasma valine and total BCAAs, whereas higher 2-h glucose was significantly associated with higher histidine, isoleucine, valine, and total BCAAs. Offspring born to mothers with GDM had higher valine (standardized mean difference 0.27 SD; 95% CI: 0.01, 0.52), leucine (0.28 SD; 0.02, 0.53), and total BCAAs (0.26 SD; 0.01, 0.52) than their counterparts. Inconsistent associations were found between maternal GDM and other amino acids among offspring during mid-childhood. CONCLUSIONS Increasing maternal fasting and post-OGTT glucose concentrations at 26-28 weeks gestation were significantly associated with mid-childhood individual and total BCAAs concentrations. The findings suggest that elevated maternal glycaemia throughout pregnancy, especially GDM, may have persistent programming effects on offspring AA metabolism which were strongly associated with adverse cardiometabolic profiles at mid-childhood.
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Affiliation(s)
- Mengjiao Liu
- School of Public Health, Nanchang University, Jiangxi, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Jiangxi, China
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yung Seng Lee
- Departments of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Division of Pediatric Endocrinology, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Fabian Yap
- Departments of Pediatrics, and Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore
- Graduate Medical School, Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Mary Foong-Fong Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Mya Thway Tint
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Agency for Science, Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
| | - Jiaxi Yang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - David Burgner
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia
- Department of Paediatrics, Monash University, Melbourne, Australia
| | - Cuilin Zhang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ling-Jun Li
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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Wang G, Xu R, Zhang B, Hong X, Bartell TR, Pearson C, Liang L, Wang X. Impact of intrauterine exposure to maternal diabetes on preterm birth: fetal DNA methylation alteration is an important mediator. Clin Epigenetics 2023; 15:59. [PMID: 37029435 PMCID: PMC10082529 DOI: 10.1186/s13148-023-01473-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 03/21/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND In utero exposure to diabetes has been shown to contribute to preterm birth, though the underlying biological mechanisms are yet to be fully elucidated. Fetal epigenetic variations established in utero may be a possible pathway. This study aimed to investigate whether in utero exposure to diabetes was associated with a change in newborn DNA methylation, and whether the identified CpG sites mediate the association between diabetes and preterm birth in a racially diverse birth cohort population. METHODS This study included 954 mother-newborn pairs. Methylation levels in the cord blood were determined using the Illumina Infinium MethylationEPIC BeadChip 850 K array platform. In utero exposure to diabetes was defined by the presence of maternal pregestational or gestational diabetes. Preterm birth was defined as gestational age at birth less than 37 weeks. Linear regression analysis was employed to identify differentially methylated CpG sites. Differentially methylated regions were identified using the DMRcate Package. RESULTS 126 (13%) newborns were born to mothers with diabetes in pregnancy and 173 (18%) newborns were born preterm, while 41 newborns were born both preterm and to mothers with diabetes in pregnancy. Genomic-wide CpG analysis found that eighteen CpG sites in cord blood were differentially methylated by maternal diabetes status at an FDR threshold of 5%. These significant CpG sites were mapped to 12 known genes, one of which was annotated to gene Major Histocompatibility Complex, Class II, DM Beta (HLA-DMB). Consistently, one of the two identified significant methylated regions overlapped with HLA-DMB. The identified differentially methylated CpG sites mediated the association between diabetes in pregnancy and preterm birth by 61%. CONCLUSIONS In this US birth cohort, we found that maternal diabetes was associated with altered fetal DNA methylation patterns, which substantially explained the link between diabetes and preterm birth.
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Affiliation(s)
- Guoying Wang
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2179, USA.
| | - Richard Xu
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Boyang Zhang
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiumei Hong
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2179, USA
| | - Tami R Bartell
- Patrick M. Magoon Institute for Healthy Communities, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Colleen Pearson
- Department of Pediatrics, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xiaobin Wang
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2179, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Lecorguillé M, McAuliffe FM, Twomey PJ, Viljoen K, Mehegan J, Kelleher CC, Suderman M, Phillips CM. Maternal Glycaemic and Insulinemic Status and Newborn DNA Methylation: Findings in Women With Overweight and Obesity. J Clin Endocrinol Metab 2022; 108:85-98. [PMID: 36137169 PMCID: PMC9759168 DOI: 10.1210/clinem/dgac553] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/26/2022] [Indexed: 11/07/2022]
Abstract
CONTEXT Maternal dysglycaemia and prepregnancy obesity are associated with adverse offspring outcomes. Epigenetic mechanisms such as DNA methylation (DNAm) could contribute. OBJECTIVE To examine relationships between maternal glycaemia, insulinemic status, and dietary glycemic indices during pregnancy and an antenatal behavioral-lifestyle intervention with newborn DNAm. METHODS We investigated 172 women from a randomized controlled trial of a lifestyle intervention in pregnant women who were overweight or obese. Fasting glucose and insulin concentrations and derived indices of insulin resistance (HOMA-IR), β-cell function (HOMA-%B), and insulin sensitivity were determined at baseline (15) and 28 weeks' gestation. Dietary glycemic load (GL) and index (GI) were calculated from 3-day food diaries. Newborn cord blood DNAm levels of 850K CpG sites were measured using the Illumina Infinium HumanMethylationEPIC array. Associations of each biomarker, dietary index and intervention with DNAm were examined. RESULTS Early pregnancy HOMA-IR and HOMA-%B were associated with lower DNAm at CpG sites cg03158092 and cg05985988, respectively. Early pregnancy insulin sensitivity was associated with higher DNAm at cg04976151. Higher late pregnancy insulin concentrations and GL scores were positively associated with DNAm at CpGs cg12082129 and cg11955198 and changes in maternal GI with lower DNAm at CpG cg03403995 (Bonferroni corrected P < 5.99 × 10-8). These later associations were located at genes previously implicated in growth or regulation of insulin processes. No effects of the intervention on cord blood DNAm were observed. None of our findings were replicated in previous studies. CONCLUSION Among women who were overweight or obese, maternal pregnancy dietary glycemic indices, glucose, and insulin homeostasis were associated with modest changes in their newborn methylome. TRIAL REGISTRATION ISRCTN29316280.
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Affiliation(s)
- Marion Lecorguillé
- Correspondence: Marion Lecorguillé, PhD, School of Public Health, Physiotherapy and Sports Science, Woodview House, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - Patrick J Twomey
- School of Medicine, University College Dublin, Dublin, Republic of Ireland
| | - Karien Viljoen
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Republic of Ireland
| | - John Mehegan
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Republic of Ireland
| | - Cecily C Kelleher
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Republic of Ireland
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Kim C, Harrall KK, Glueck DH, Needham BL, Dabelea D. Gestational diabetes mellitus, epigenetic age and offspring metabolism. Diabet Med 2022; 39:e14925. [PMID: 36224717 PMCID: PMC9804757 DOI: 10.1111/dme.14925] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 07/26/2022] [Indexed: 01/09/2023]
Abstract
AIMS No reports examine the relationship between in-utero exposure to gestational diabetes mellitus (GDM), offspring epigenetic age acceleration (EAA), and offspring insulin sensitivity. METHODS Using data from a cohort study, we examined associations between GDM in-utero exposure and offspring EAA at approximately 10 years of age, using separate regression models adjusting for offspring chronological age and sex. We also examined associations between EAA with updated homeostasis model assessment of insulin sensitivity and secretion (HOMA2-S and HOMA2-β) measured at approximately 10 and 16 years of age, using mixed linear regression models accounting for repeated measures after adjustment for offspring chronological age and sex. RESULTS Compared to unexposed offspring (n = 91), offspring exposed to GDM (n = 88) had greater EAA or older extrinsic age compared to chronological age (β-coefficient 2.00, 95% confidence interval [0.71, 3.28], p = 0.0025), but not greater intrinsic EAA (β-coefficient -0.07, 95% CI [-0.71, 0.57], p = 0.93). Extrinsic EAA was associated with lower insulin sensitivity (β-coefficient -0.018, 95% CI [-0.035, -0.002], p = 0.03) and greater insulin secretion (β-coefficient 0.018, 95% CI [0.006, 0.03], p = 0.003), and these associations persisted after further adjustment for measures of maternal and child adiposity. No associations were observed between intrinsic EAA and insulin sensitivity and secretion, before or after adjustment for measures of maternal and child adiposity. CONCLUSIONS In this study, children exposed to GDM experience greater extrinsic EAA, which is associated with lower insulin sensitivity and greater insulin secretion. Further studies are needed to determine the directionality of these associations.
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Affiliation(s)
- Catherine Kim
- Departments of Medicine, Obstetrics & Gynecology, and EpidemiologyUniversity of MichiganAnn ArborMichiganUSA
| | - Kylie K. Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterUniversity of Colorado AuroraAuroraColoradoUSA
| | - Deborah H. Glueck
- LEAD Center and Department of PediatricsUniversity of Colorado School of MedicineAuroraColoradoUSA
| | | | - Dana Dabelea
- Department of Pediatrics, LEAD CenterUniversity of ColoradoAuroraColoradoUSA
- Department of Epidemiology, LEAD CenterUniversity of ColoradoAuroraColoradoUSA
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9
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Sasaki A, Murphy KE, Briollais L, McGowan PO, Matthews SG. DNA methylation profiles in the blood of newborn term infants born to mothers with obesity. PLoS One 2022; 17:e0267946. [PMID: 35500004 PMCID: PMC9060365 DOI: 10.1371/journal.pone.0267946] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 04/19/2022] [Indexed: 01/03/2023] Open
Abstract
Maternal obesity is an important risk factor for childhood obesity and influences the prevalence of metabolic diseases in offspring. As childhood obesity is influenced by postnatal factors, it is critical to determine whether children born to women with obesity during pregnancy show alterations that are detectable at birth. Epigenetic mechanisms such as DNA methylation modifications have been proposed to mediate prenatal programming. We investigated DNA methylation signatures in male and female infants from mothers with a normal Body Mass Index (BMI 18.5-24.9 kg/m2) compared to mothers with obesity (BMI≥30 kg/m2). BMI was measured during the first prenatal visit from women recruited into the Ontario Birth Study (OBS) at Mount Sinai Hospital in Toronto, ON, Canada. DNA was extracted from neonatal dried blood spots collected from heel pricks obtained 24 hours after birth at term (total n = 40) from women with a normal BMI and women with obesity matched for parity, age, and neonatal sex. Reduced representation bisulfite sequencing was used to identify genomic loci associated with differentially methylated regions (DMRs) in CpG-dense regions most likely to influence gene regulation. DMRs were predominantly localized to intergenic regions and gene bodies, with only 9% of DMRs localized to promoter regions. Genes associated with DMRs were compared to those from a large publicly available cohort study, the Avon Longitudinal Study of Parents and Children (ALSPAC; total n = 859). Hypergeometric tests revealed a significant overlap in genes associated with DMRs in the OBS and ALSPAC cohorts. PTPRN2, a gene involved in insulin secretion, and MAD1L1, which plays a role in the cell cycle and tumor suppression, contained DMRs in males and females in both cohorts. In males, KEGG pathway analysis revealed significant overrepresentation of genes involved in endocytosis and pathways in cancer, including IGF1R, which was previously shown to respond to diet-induced metabolic stress in animal models and in lymphocytes in the context of childhood obesity. These preliminary findings are consistent with Developmental Origins of Health and Disease paradigm, which posits that adverse prenatal exposures set developmental health trajectories.
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Affiliation(s)
- Aya Sasaki
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Kellie E. Murphy
- Department of Obstetrics & Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Laurent Briollais
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Patrick O. McGowan
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Departments of Biological Sciences and Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada
| | - Stephen G. Matthews
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Department of Obstetrics & Gynecology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
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10
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Lim IY, Lin X, Teh AL, Wu Y, Chen L, He M, Chan SY, MacIsaac JL, Chan JKY, Tan KH, Chong MFF, Kobor MS, Godfrey KM, Meaney MJ, Lee YS, Eriksson JG, Gluckman PD, Chong YS, Karnani N. Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome. J Clin Endocrinol Metab 2022; 107:e1277-e1292. [PMID: 34633450 PMCID: PMC8852163 DOI: 10.1210/clinem/dgab710] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Indexed: 01/22/2023]
Abstract
CONTEXT Antenatal hyperglycemia is associated with increased risk of future adverse health outcomes in both mother and child. Variations in offspring's epigenome can reflect the impact and response to in utero glycemic exposure, and may have different consequences for the child. OBJECTIVE We examined possible differences in associations of basal glucose status and glucose handling during pregnancy with both clinical covariates and offspring cord tissue DNA methylation. RESEARCH DESIGN AND METHODS This study included 830 mother-offspring dyads from the Growing Up in Singapore Towards Healthy Outcomes cohort. The fetal epigenome of umbilical cord tissue was profiled using Illumina HumanMethylation450 arrays. Associations of maternal mid-pregnancy fasting (fasting plasma glucose [FPG]) and 2-hour plasma glucose (2hPG) after a 75-g oral glucose challenge with both maternal clinical phenotypes and offspring epigenome at delivery were investigated separately. RESULTS Maternal age, prepregnancy body mass index, and blood pressure measures were associated with both FPG and 2hPG, whereas Chinese ethnicity (P = 1.9 × 10-4), maternal height (P = 1.1 × 10-4), pregnancy weight gain (P = 2.2 × 10-3), prepregnancy alcohol consumption (P = 4.6 × 10-4), and tobacco exposure (P = 1.9 × 10-3) showed significantly opposite associations between the 2 glucose measures. Most importantly, we observed a dichotomy in the effects of these glycemic indices on the offspring epigenome. Offspring born to mothers with elevated 2hPG showed global hypomethylation. CpGs most associated with the 2 measures also reflected differences in gene ontologies and had different associations with offspring birthweight. CONCLUSIONS Our findings suggest that 2 traditionally used glycemic indices for diagnosing gestational diabetes may reflect distinctive pathophysiologies in pregnancy, and have differential impacts on the offspring's DNA methylome.
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Affiliation(s)
- Ives Yubin Lim
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
- Bioinformatics Institute (BII), A*STAR, 138671, Singapore
| | - Xinyi Lin
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Centre for Quantitative Medicine, Duke-National University of Singapore (NUS) Medical School, 169857, Singapore
- Singapore Clinical Research Institute, 138669, Singapore
| | - Ai Ling Teh
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Yonghui Wu
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Li Chen
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Menglan He
- Duke-NUS Medical School, 169857, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
| | - Julia L MacIsaac
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada
| | - Jerry K Y Chan
- KK Women’s and Children’s Hospital, 229899, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
| | - Kok Hian Tan
- KK Women’s and Children’s Hospital, 229899, Singapore
| | - Mary Foong Fong Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Douglas Mental Health University Institute, McGill University, Montréal, Canada
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, NUS, 119228, Singapore
- Division of Paediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, 1142, New Zealand
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Bioinformatics Institute (BII), A*STAR, 138671, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, NUS, 117596, Singapore
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11
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Mora-Janiszewska O, Faryniak-Zuzak A, Darmochwał-Kolarz D. Epigenetic Links between Microbiota and Gestational Diabetes. Int J Mol Sci 2022; 23:ijms23031831. [PMID: 35163753 PMCID: PMC8837149 DOI: 10.3390/ijms23031831] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/29/2022] [Accepted: 02/03/2022] [Indexed: 02/01/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is considered a significant and increasing worldwide problem. The growing body of evidence on this topic has allowed us to point out that a hostile intrauterine environment in mothers with GDM via epigenetic mechanisms induces “diabetogenic” and “obesogenic” changes in an offspring’s DNA. This sets a vicious intergenerational cycle of metabolic diseases in motion, gradually deteriorating the health of the human population. One of the most important participants of this process seems to be altered microbiota. There is a chance that the identification of specific epigenetic marks may provide a key for future diagnostic, prognostic and therapeutic solutions in the field of personalised medicine. Given the reversibility of most epigenetic changes, there is an opportunity to improve the long-term health of the human population. In this manuscript, we aim to summarise available data on epigenetic changes among women suffering from GDM and their progeny, in association with alterations in the microbiome.
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12
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Shashikadze B, Flenkenthaler F, Stöckl JB, Valla L, Renner S, Kemter E, Wolf E, Fröhlich T. Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches. Genes (Basel) 2021; 12:1991. [PMID: 34946940 PMCID: PMC8701487 DOI: 10.3390/genes12121991] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/06/2021] [Accepted: 12/10/2021] [Indexed: 12/27/2022] Open
Abstract
Worldwide, gestational diabetes affects 2-25% of pregnancies. Due to related disturbances of the maternal metabolism during the periconceptional period and pregnancy, children bear an increased risk for future diseases. It is well known that an aberrant intrauterine environment caused by elevated maternal glucose levels is related to elevated risks for increased birth weights and metabolic disorders in later life, such as obesity or type 2 diabetes. The complexity of disturbances induced by maternal diabetes, with multiple underlying mechanisms, makes early diagnosis or prevention a challenging task. Omics technologies allowing holistic quantification of several classes of molecules from biological fluids, cells, or tissues are powerful tools to systematically investigate the effects of maternal diabetes on the offspring in an unbiased manner. Differentially abundant molecules or distinct molecular profiles may serve as diagnostic biomarkers, which may also support the development of preventive and therapeutic strategies. In this review, we summarize key findings from state-of-the-art Omics studies addressing the impact of maternal diabetes on offspring health.
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Affiliation(s)
- Bachuki Shashikadze
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Florian Flenkenthaler
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Jan B. Stöckl
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Libera Valla
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
| | - Simone Renner
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Elisabeth Kemter
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Eckhard Wolf
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Thomas Fröhlich
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
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13
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Garvey WT. Is Obesity/Adiposity-Based Chronic Disease Curable: The Set Point Theory, the Environment, and Second Generation Medications. Endocr Pract 2021; 28:214-222. [PMID: 34823000 DOI: 10.1016/j.eprac.2021.11.082] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/16/2021] [Accepted: 11/16/2021] [Indexed: 12/22/2022]
Abstract
Adiposity-Based Chronic Disease (ABCD) is a chronic disease and requires life-long treatment and follow-up. Obesity protects obesity through altered regulation of caloric intake and set point mechanisms that maintains a high equilibrium body weight. Lifestyle interventions and obesity medications do not permanently alter the set point which often makes weight loss achieved by lifestyle short-lived and operates to drive weight regain once medications are discontinued. Bariatric surgery procedures can alter appetite and lower the "set point" for equilibrium body weight via unknown mechanisms. However, few patients attain ideal body weight following surgery, many regain weight, and all require long-term follow-up for the disease. The excess adiposity of ABCD gives rise to complications that impair health and confer morbidity and mortality; however, the genetic risks and potential interactions between genes and environment that give rise to complications also cannot be eliminated. The equilibrium body weight around which set point mechanisms operate can be modified by environment, which underscores the importance of a less obesogenic environment for prevention and treatment of ABCD on a population basis. If ABCD will eventually be curable, this will depend on a clear understanding of the molecular mechanisms that determine the set point regulation of body weight, and an ability to permanently modulate the set point to oscillate around and a lean body mass. The conceptualization of ABCD as a chronic disease, however, does present us with opportunities for primary, secondary, and tertiary prevention to avert disease progression. For tertiary care, the advent of new, more effective, second-generation obesity medications will allow clinicians to treat-to-target via active management of body weight into a target range that will ameliorate specific complications.
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Affiliation(s)
- W Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, Alabama, 35294-3360, USA.
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14
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Wang X, Huang J, Zheng Y, Long S, Lin H, Zhang N, Tian M, Wu X, An R, Ma S, Tan H. Study on the relationship between DNA methylation of target CpG sites in peripheral blood and gestational diabetes during early pregnancy. Sci Rep 2021; 11:20455. [PMID: 34650136 PMCID: PMC8516930 DOI: 10.1038/s41598-021-99836-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 09/28/2021] [Indexed: 11/15/2022] Open
Abstract
Genome-wide DNA methylation profiling have been used to find maternal CpG sites related to the occurrence of gestational diabetes mellitus (GDM). However, none of these differential sites found has been verified in a larger sample. Here, our aim was to evaluate whether first trimester changes in target CpG sites in the peripheral blood of pregnancy women predict subsequent development of GDM. This nested case–control study was based upon an early pregnancy follow-up cohort (ChiCTR1900020652). Target CpG sites were extracted from related published literature and bioinformatics analysis. The DNA methylation levels at 337 CpG sites of 80 GDM cases and 80 matched healthy controls during the early pregnancy (10–15 weeks) were assessed using MethylTarget sequencing. The best cut-off level for methylation of CpG site was determined using the generated ROC curve. The independent effect of CpG site methylation status on GDM was analyzed using conditional logistic regression. Methylation levels at 6 CpG sites were significantly higher in the GDM group than in controls, whereas those at another 6 CpG sites were significantly lower (FDR < 0.05). The area under the ROC curve at each methylation level of the significant CpG sites ranged between 0.593 and 0.650 for the occurrence of GDM. After adjusting for possible confounders, the hypermethylation status of CpG site 68167324 (OR = 3.168, 1.038–9.666) and 24837915 (OR = 5.232, 1.659–16.506) was identified as more strongly associated with GDM; meanwhile, the hypermethylation of CpG site 157130156 (OR = 0.361, 0.135–0.966) and 89438648 (OR = 0.206, 0.065–0.655) might indicate lower risk of GDM. The methylation status of target CpG sites in the peripheral blood of pregnant women during the first trimester may be associated with GDM pathogenesis, and has potential as a predictor of GDM.
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Affiliation(s)
- Xiaolei Wang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Jin Huang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Yixiang Zheng
- Department of Infectious Diseases, Key Laboratory of Viral Hepatitis of Hunan, Xiangya Hospital, Central South University, Changsha City, Hunan Province, 410078, China
| | - Sisi Long
- Hospital Infection Control Center, The Second Xiangya Hospital, Central South University, Changsha City, Hunan Province, 410078, China
| | - Huijun Lin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Na Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Mengyuan Tian
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Xinrui Wu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Rongjing An
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Shujuan Ma
- Reproductive and Genetic Hospital of CITIC-Xiangya, Clinical Research Center for Reproduction and Genetics in Hunan Province, Changsha City, Hunan Province, 410008, China.
| | - Hongzhuan Tan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China. .,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China.
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15
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Epigenetic Changes in Gestational Diabetes Mellitus. Int J Mol Sci 2021; 22:ijms22147649. [PMID: 34299269 PMCID: PMC8303885 DOI: 10.3390/ijms22147649] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/30/2021] [Accepted: 07/14/2021] [Indexed: 12/30/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance that appears or is for the first time diagnosed during pregnancy. It can lead to many complications in the mother and in the offspring, so diagnostics and management of GDM are important to avoid adverse pregnancy outcomes. Epigenetic studies revealed the different methylation status of genes in pregnancies with GDM compared to pregnancies without GDM. A growing body of evidence shows that the GDM can affect not only the course of the pregnancy, but also the development of the offspring, thus contributing to long-term effects and adverse health outcomes of the progeny. Epigenetic changes occur through histone modification, DNA methylation, and disrupted function of non-coding ribonucleic acid (ncRNA) including microRNAs (miRNAs). In this review, we focus on the recent knowledge about epigenetic changes in GDM. The analysis of this topic may help us to understand pathophysiological mechanisms in GDM and find a solution to prevent their consequences.
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16
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Kunysz M, Mora-Janiszewska O, Darmochwał-Kolarz D. Epigenetic Modifications Associated with Exposure to Endocrine Disrupting Chemicals in Patients with Gestational Diabetes Mellitus. Int J Mol Sci 2021; 22:ijms22094693. [PMID: 33946662 PMCID: PMC8124363 DOI: 10.3390/ijms22094693] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 04/22/2021] [Accepted: 04/26/2021] [Indexed: 12/27/2022] Open
Abstract
Gestational diabetes mellitus (GDM) remains a significant clinical and public health issue due to its increasing prevalence and the possibility for numerous short- and long-term complications. The growing incidence of GDM seems to coincide with the widespread use of endocrine disrupting chemicals (EDCs). The extensive production and common use of these substances in everyday life has resulted in constant exposure to harmful substances from the environment. That may result in epigenetic changes, which may manifest themselves also after many years and be passed on to future generations. It is important to consider the possible link between environmental exposure to endocrine disrupting chemicals (EDCs) during pregnancy, epigenetic mechanisms and an increased risk for developing gestational diabetes mellitus (GDM). This manuscript attempts to summarize data on epigenetic changes in pregnant women suffering from gestational diabetes in association with EDCs. There is a chance that epigenetic marks may serve as a tool for diagnostic, prognostic, and therapeutic measures.
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17
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Awamleh Z, Butcher DT, Hanley A, Retnakaran R, Haertle L, Haaf T, Hamilton J, Weksberg R. Exposure to Gestational Diabetes Mellitus (GDM) alters DNA methylation in placenta and fetal cord blood. Diabetes Res Clin Pract 2021; 174:108690. [PMID: 33549677 DOI: 10.1016/j.diabres.2021.108690] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 01/14/2021] [Accepted: 01/25/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Fetal exposure to maternal GDM increases offspring risk for adult-onset metabolic syndromes. Epigenetic modifications such as DNA methylation are modulators for fetal metabolic programming and susceptibility to adult-onset disease. This study investigates genome-wide DNA methylation in GDM exposed cord blood and placenta. METHODS Oral glucose tolerance testing between 24 and 28 weeks of pregnancy was used to determine severity of glucose intolerance. We measured DNA methylation (DNAm) using the Illumina Infinium 450 K array in 42 fetal cord blood and 36 placenta samples. RESULTS We identified 662 and 99 CpG sites in GDM placenta and cord blood, respectively at p-value <0.01 and a methylation difference >5% after adjustment for confounders. Annotated sites for AHRR and PTPRN2 were common to cord blood and placenta. Adding published GDM cord blood DNAm data we segregated patients based on treatment (Diet Only vs. +Insulin) and identified altered CpG sites to be unique to each GDM treatment group. CONCLUSION Consistency in findings with other studies provides evidence for the role of DNAm in placental and fetal responses to hyperglycemia. However, segregating DNAm analysis of GDM samples based on treatment may help delineate whether observed DNAm alterations are reflective of adaptive responses or treatment effects in utero.
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Affiliation(s)
- Zain Awamleh
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Darci T Butcher
- Head of Molecular Genomics, Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences, Hamilton, Ontario, Canada; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Anthony Hanley
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada; Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Larissa Haertle
- Institute of Human Genetics, Julius Maximilians University, Würzburg, Germany; Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Thomas Haaf
- Institute of Human Genetics, Julius Maximilians University, Würzburg, Germany
| | - Jill Hamilton
- Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada; Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.
| | - Rosanna Weksberg
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada; Division of Clinical and Metabolic Genetics, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, School of Graduate Studies, University of Toronto, Toronto, Ontario, Canada.
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18
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Quan Y, Liang F, Deng SM, Zhu Y, Chen Y, Xiong J. Mining the Selective Remodeling of DNA Methylation in Promoter Regions to Identify Robust Gene-Level Associations With Phenotype. Front Mol Biosci 2021; 8:597513. [PMID: 33842534 PMCID: PMC8034267 DOI: 10.3389/fmolb.2021.597513] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 02/01/2021] [Indexed: 11/13/2022] Open
Abstract
Epigenetics is an essential biological frontier linking genetics to the environment, where DNA methylation is one of the most studied epigenetic events. In recent years, through the epigenome-wide association study (EWAS), researchers have identified thousands of phenotype-related methylation sites. However, the overlaps of identified phenotype-related DNA methylation sites between various studies are often quite small, and it might be due to the fact that methylation remodeling has a certain degree of randomness within the genome. Thus, the identification of robust gene-phenotype associations is crucial to interpreting pathogenesis. How to integrate the methylation values of different sites on the same gene and to mine the DNA methylation at the gene level remains a challenge. A recent study found that the DNA methylation difference of the gene body and promoter region has a strong correlation with gene expression. In this study, we proposed a Statistical difference of DNA Methylation between Promoter and Other Body Region (SIMPO) algorithm to extract DNA methylation values at the gene level. First, by choosing to smoke as an environmental exposure factor, our method led to significant improvements in gene overlaps (from 5 to 17%) between different datasets. In addition, the biological significance of phenotype-related genes identified by SIMPO algorithm is comparable to that of the traditional probe-based methods. Then, we selected two disease contents (e.g., insulin resistance and Parkinson's disease) to show that the biological efficiency of disease-related gene identification increased from 15.43 to 44.44% (p-value = 1.20e-28). In summary, our results declare that mining the selective remodeling of DNA methylation in promoter regions can identify robust gene-level associations with phenotype, and the characteristic remodeling of a given gene's promoter region can reflect the essence of disease.
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Affiliation(s)
- Yuan Quan
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
- Lab of Epigenetics and Advanced Health Technology, Space Science and Technology Institute, Shenzhen, China
| | - Fengji Liang
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Si-Min Deng
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Yuexing Zhu
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
- Aromability Inc., Beijing, China
| | - Ying Chen
- Lab of Epigenetics and Advanced Health Technology, Space Science and Technology Institute, Shenzhen, China
| | - Jianghui Xiong
- Lab of Epigenetics and Advanced Health Technology, Space Science and Technology Institute, Shenzhen, China
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
- Aromability Inc., Beijing, China
- Jiangsu Industrial Technology Research Institute (JITRI), Applied Adaptome Immunology Institute, Nanjing, Jiangsu, China
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19
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Chu AHY, Godfrey KM. Gestational Diabetes Mellitus and Developmental Programming. ANNALS OF NUTRITION AND METABOLISM 2021; 76 Suppl 3:4-15. [PMID: 33465774 DOI: 10.1159/000509902] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 07/02/2020] [Indexed: 12/19/2022]
Abstract
During normal pregnancy, increased insulin resistance acts as an adaptation to enhance materno-foetal nutrient transfer and meet the nutritional needs of the developing foetus, particularly in relation to glucose requirements. However, about 1 in 6 pregnancies worldwide is affected by the inability of the mother's metabolism to maintain normoglycaemia, with the combination of insulin resistance and insufficient insulin secretion resulting in gestational diabetes mellitus (GDM). A growing body of epidemiologic work demonstrates long-term implications for adverse offspring health resulting from exposure to GDM in utero. The effect of GDM on offspring obesity and cardiometabolic health may be partly influenced by maternal obesity; this suggests that improving glucose and weight control during early pregnancy, or better still before conception, has the potential to lessen the risk to the offspring. The consequences of GDM for microbiome modification in the offspring and the impact upon offspring immune dysregulation are actively developing research areas. Some studies have suggested that GDM impacts offspring neurodevelopmental and cognitive outcomes; confirmatory studies will need to separate the effect of GDM exposure from the complex interplay of social and environmental factors. Animal and human studies have demonstrated the role of epigenetic modifications in underpinning the predisposition to adverse health in offspring exposed to suboptimal hyperglycaemic in utero environment. To date, several epigenome-wide association studies in human have extended our knowledge on linking maternal diabetes-related DNA methylation marks with childhood adiposity-related outcomes. Identification of such epigenetic marks can help guide future research to develop candidate diagnostic biomarkers and preventive or therapeutic strategies. Longer-term interventions and longitudinal studies will be needed to better understand the causality, underlying mechanisms, or impact of GDM treatments to optimize the health of future generations.
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Affiliation(s)
- Anne H Y Chu
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom,
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20
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Matjuda EN, Engwa GA, Sewani-Rusike CR, Nkeh-Chungag BN. An Overview of Vascular Dysfunction and Determinants: The Case of Children of African Ancestry. Front Pediatr 2021; 9:769589. [PMID: 34956981 PMCID: PMC8709476 DOI: 10.3389/fped.2021.769589] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 11/08/2021] [Indexed: 12/13/2022] Open
Abstract
The balance between dilatory and constrictive factors is important as it keeps blood vessels in a homeostatic state. However, altered physiological processes as a result of obesity, hypertension, oxidative stress, and other cardiovascular risk factors may lead to vascular damage, causing an imbalance of vasoactive factors. Over time, the sustained imbalance of these vasoactive factors may lead to vascular dysfunction, which can be assessed by non-invasive methods, such as flow-mediated dilation, pulse wave velocity, flow-mediated slowing, retinal vessel analysis, peripheral vascular reactivity, and carotid intima-media thickness assessment. Although there is increasing prevalence of cardiovascular risk factors (obesity and hypertension) in children in sub-Saharan Africa, little is known about how this may affect vascular function. This review focuses on vasoactive factors implicated in vascular (dys)function, highlighting the determinants and consequences of vascular dysfunction. It further describes the non-invasive methods used for vascular (dys)function assessments and, last, describes the impact of cardiovascular risk factors on vascular dysfunction in children of African ancestry.
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Affiliation(s)
- Edna N Matjuda
- Department of Human Biology, Faculty of Health Sciences, Walter Sisulu University PBX1, Mthatha, South Africa
| | - Godwill Azeh Engwa
- Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University PBX1, Mthatha, South Africa
| | - Constance R Sewani-Rusike
- Department of Human Biology, Faculty of Health Sciences, Walter Sisulu University PBX1, Mthatha, South Africa
| | - Benedicta N Nkeh-Chungag
- Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University PBX1, Mthatha, South Africa
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21
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Abstract
A new cardiometabolic-based chronic disease (CMBCD) model is presented that provides a basis for early and sustainable, evidence-based therapeutic targeting to promote cardiometabolic health and mitigate the development and ravages of cardiovascular disease. In the first part of this JACC State-of-the-Art Review, a framework is presented for CMBCD, focusing on 3 primary drivers (genetics, environment, and behavior) and 2 metabolic drivers (adiposity and dysglycemia) with applications to 3 cardiovascular endpoints (coronary heart disease, heart failure, and atrial fibrillation). Specific mechanistic pathways are presented configuring early primary drivers with subsequent adiposity, insulin resistance, β-cell dysfunction, and metabolic syndrome, leading to cardiovascular disease. The context for building this CMBCD model is to expose actionable targets for prevention to achieve optimal cardiovascular outcomes. The tactical implementation of this CMBCD model is the subject of second part of this JACC State-of-the-Art Review.
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22
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Cardiometabolic-Based Chronic Disease, Adiposity and Dysglycemia Drivers: JACC State-of-the-Art Review. J Am Coll Cardiol 2020; 75:525-538. [PMID: 32029136 DOI: 10.1016/j.jacc.2019.11.044] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/06/2019] [Accepted: 11/17/2019] [Indexed: 02/07/2023]
Abstract
A new cardiometabolic-based chronic disease (CMBCD) model is presented that provides a basis for early and sustainable, evidence-based therapeutic targeting to promote cardiometabolic health and mitigate the development and ravages of cardiovascular disease. In the first part of this JACC State-of-the-Art Review, a framework is presented for CMBCD, focusing on 3 primary drivers (genetics, environment, and behavior) and 2 metabolic drivers (adiposity and dysglycemia) with applications to 3 cardiovascular endpoints (coronary heart disease, heart failure, and atrial fibrillation). Specific mechanistic pathways are presented configuring early primary drivers with subsequent adiposity, insulin resistance, β-cell dysfunction, and metabolic syndrome, leading to cardiovascular disease. The context for building this CMBCD model is to expose actionable targets for prevention to achieve optimal cardiovascular outcomes. The tactical implementation of this CMBCD model is the subject of second part of this JACC State-of-the-Art Review.
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23
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Geurtsen ML, Jaddoe VWV, Gaillard R, Felix JF. Associations of maternal early-pregnancy blood glucose and insulin concentrations with DNA methylation in newborns. Clin Epigenetics 2020; 12:134. [PMID: 32894192 PMCID: PMC7487846 DOI: 10.1186/s13148-020-00924-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 08/25/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Intrauterine exposure to a disturbed maternal glucose metabolism is associated with adverse offspring outcomes. DNA methylation is a potential mechanism underlying these associations. We examined whether maternal early-pregnancy glucose and insulin concentrations are associated with newborn DNA methylation. In a population-based prospective cohort study among 935 pregnant women, maternal plasma concentrations of non-fasting glucose and insulin were measured at a median of 13.1 weeks of gestation (95% range 9.4-17.4). DNA methylation was measured using the Infinium HumanMethylation450 BeadChip (Ilumina). We analyzed associations of maternal early-pregnancy glucose and insulin concentrations with single-CpG DNA methylation using robust linear regression models. Differentially methylated regions were analyzed using the dmrff package in R. We stratified the analyses on normal weight versus overweight or obese women. We also performed a look-up of CpGs and differently methylated regions from previous studies to be associated with maternal gestational diabetes, hyperglycemia or hyperinsulinemia, or with type 2 diabetes in adults. RESULTS Maternal early-pregnancy glucose and insulin concentrations were not associated with DNA methylation at single CpGs nor with differentially methylated regions in the total group. In analyses stratified on maternal BMI, maternal early-pregnancy glucose concentrations were associated with DNA methylation at one CpG (cg03617420, XKR6) among normal weight women and at another (cg12081946, IL17D) among overweight or obese women. No stratum-specific associations were found for maternal early-pregnancy insulin concentrations. The two CpGs were not associated with birth weight or childhood glycemic measures (p values > 0.1). Maternal early-pregnancy insulin concentrations were associated with one CpG known to be related to adult type 2 diabetes. Enrichment among nominally significant findings in our maternal early-pregnancy glucose concentrations was found for CpGs identified in a previous study on adult type 2 diabetes. CONCLUSIONS Maternal early-pregnancy glucose concentrations, but not insulin concentrations, were associated with DNA methylation at one CpG each in the subgroups of normal weight and of overweight or obese women. No associations were present in the full group. The role of these CpGs in mechanisms underlying offspring health outcomes needs further study. Future studies should replicate our results in larger samples with early-pregnancy information on maternal fasting glucose metabolism.
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Affiliation(s)
- Madelon L Geurtsen
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands.
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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24
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Integrated metabolome analysis reveals novel connections between maternal fecal metabolome and the neonatal blood metabolome in women with gestational diabetes mellitus. Sci Rep 2020; 10:3660. [PMID: 32107447 PMCID: PMC7046769 DOI: 10.1038/s41598-020-60540-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 02/13/2020] [Indexed: 12/11/2022] Open
Abstract
Gestational Diabetes Mellitus (GDM), which is correlated with changes in the gut microbiota, is a risk factor for neonatal inborn errors of metabolism (IEMs). Maternal hyperglycemia exerts epigenetic effects on genes that encode IEM-associated enzymes, resulting in changes in the neonatal blood metabolome. However, the relationship between maternal gut microbiota and the neonatal blood metabolome remains poorly understood. This study aimed at understanding the connections between maternal gut microbiota and the neonatal blood metabolome in GDM. 1H-NMR-based untargeted metabolomics was performed on maternal fecal samples and targeted metabolomics on the matched neonatal dry blood spots from a cohort of 40 pregnant women, including 22 with GDM and 18 controls. Multi-omic association methods (including Co-Inertia Analysis and Procrustes Analysis) were applied to investigate the relationship between maternal fecal metabolome and the neonatal blood metabolome. Both maternal fecal metabolome and the matched neonatal blood metabolome could be separated along the vector of maternal hyperglycemia. A close relationship between the maternal and neonatal metabolomes was observed by multi-omic association approaches. Twelve out of thirty-two maternal fecal metabolites with altered abundances from 872 1H- NMR features (Bonferroni-adjusted P < 0.05) in women with GDM and the controls were identified, among which 8 metabolites contribute (P < 0.05 in a 999-step permutation test) to the close connection between maternal and the neonatal metabolomes in GDM. Four of these eight maternal fecal metabolites, including lysine, putrescine, guanidinoacetate, and hexadecanedioate, were negatively associated (Spearman rank correlation, coefficient value < −0.6, P < 0.05) with maternal hyperglycemia. Biotin metabolism was enriched (Bonferroni-adjusted P < 0.05 in the hypergeometric test) with the four-hyperglycemia associated fecal metabolites. The results of this study suggested that maternal fecal metabolites contribute to the connections between maternal fecal metabolome and the neonatal blood metabolome and may further affect the risk of IEMs.
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25
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Mechanick JI, Farkouh ME, Newman JD, Garvey WT. Cardiometabolic-Based Chronic Disease, Adiposity and Dysglycemia Drivers: JACC State-of-the-Art Review. J Am Coll Cardiol 2020; 75:525-538. [PMID: 32029136 PMCID: PMC7187687 DOI: 10.1016/j.jacc.2019.11.044,+10.1016/s0735-1097(20)31152-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/06/2019] [Accepted: 11/17/2019] [Indexed: 02/01/2024]
Abstract
A new cardiometabolic-based chronic disease (CMBCD) model is presented that provides a basis for early and sustainable, evidence-based therapeutic targeting to promote cardiometabolic health and mitigate the development and ravages of cardiovascular disease. In the first part of this JACC State-of-the-Art Review, a framework is presented for CMBCD, focusing on 3 primary drivers (genetics, environment, and behavior) and 2 metabolic drivers (adiposity and dysglycemia) with applications to 3 cardiovascular endpoints (coronary heart disease, heart failure, and atrial fibrillation). Specific mechanistic pathways are presented configuring early primary drivers with subsequent adiposity, insulin resistance, β-cell dysfunction, and metabolic syndrome, leading to cardiovascular disease. The context for building this CMBCD model is to expose actionable targets for prevention to achieve optimal cardiovascular outcomes. The tactical implementation of this CMBCD model is the subject of second part of this JACC State-of-the-Art Review.
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Affiliation(s)
- Jeffrey I Mechanick
- Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Icahn School of Medicine at Mount Sinai, New York, New York.
| | - Michael E Farkouh
- Peter Munk Cardiac Centre and the Heart and Stroke Richard Lewar Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jonathan D Newman
- Division of Cardiology and Center for the Prevention of Cardiovascular Disease, Department of Medicine, New York University Medical Center, New York, New York
| | - W Timothy Garvey
- Department of Nutrition Sciences and Diabetes Research Center, University of Alabama at Birmingham, Birmingham, Alabama; Geriatric Research Education and Clinical Center, Birmingham VA Medical Center, Birmingham, Alabama
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26
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Mechanick JI, Farkouh ME, Newman JD, Garvey WT. Cardiometabolic-Based Chronic Disease, Adiposity and Dysglycemia Drivers: JACC State-of-the-Art Review. J Am Coll Cardiol 2020; 75. [PMID: 32029136 PMCID: PMC7187687 DOI: 10.1016/j.jacc.2019.11.044, 10.1016/s0735-1097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
A new cardiometabolic-based chronic disease (CMBCD) model is presented that provides a basis for early and sustainable, evidence-based therapeutic targeting to promote cardiometabolic health and mitigate the development and ravages of cardiovascular disease. In the first part of this JACC State-of-the-Art Review, a framework is presented for CMBCD, focusing on 3 primary drivers (genetics, environment, and behavior) and 2 metabolic drivers (adiposity and dysglycemia) with applications to 3 cardiovascular endpoints (coronary heart disease, heart failure, and atrial fibrillation). Specific mechanistic pathways are presented configuring early primary drivers with subsequent adiposity, insulin resistance, β-cell dysfunction, and metabolic syndrome, leading to cardiovascular disease. The context for building this CMBCD model is to expose actionable targets for prevention to achieve optimal cardiovascular outcomes. The tactical implementation of this CMBCD model is the subject of second part of this JACC State-of-the-Art Review.
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Affiliation(s)
- Jeffrey I. Mechanick
- Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Michael E. Farkouh
- Peter Munk Cardiac Centre and the Heart and Stroke Richard Lewar Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jonathan D. Newman
- Division of Cardiology and Center for the Prevention of Cardiovascular Disease, Department of Medicine, New York University Medical Center, New York, New York
| | - W. Timothy Garvey
- Department of Nutrition Sciences and Diabetes Research Center, University of Alabama at Birmingham, Birmingham, Alabama;,Geriatric Research Education and Clinical Center, Birmingham VA Medical Center, Birmingham, Alabama
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27
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Howe CG, Cox B, Fore R, Jungius J, Kvist T, Lent S, Miles HE, Salas LA, Rifas-Shiman S, Starling AP, Yousefi P, Ladd-Acosta C, Baccarelli A, Binder EB, Chatzi VL, Czamara D, Dabelea D, DeMeo DL, Ghantous A, Herceg Z, Kajantie E, Lahti JMT, Lawlor DA, Litonjua A, Nawrot TS, Nohr EA, Oken E, Pizzi C, Plusquin M, Räikkönen K, Relton CL, Sharp GC, Sørensen TIA, Sunyer J, Vrijheid M, Zhang W, Hivert MF, Breton CV. Maternal Gestational Diabetes Mellitus and Newborn DNA Methylation: Findings From the Pregnancy and Childhood Epigenetics Consortium. Diabetes Care 2020; 43:98-105. [PMID: 31601636 PMCID: PMC6925578 DOI: 10.2337/dc19-0524] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 09/17/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Maternal gestational diabetes mellitus (GDM) has been associated with adverse outcomes in the offspring. Growing evidence suggests that the epigenome may play a role, but most previous studies have been small and adjusted for few covariates. The current study meta-analyzed the association between maternal GDM and cord blood DNA methylation in the Pregnancy and Childhood Epigenetics (PACE) consortium. RESEARCH DESIGN AND METHODS Seven pregnancy cohorts (3,677 mother-newborn pairs [317 with GDM]) contributed results from epigenome-wide association studies, using DNA methylation data acquired by the Infinium HumanMethylation450 BeadChip array. Associations between GDM and DNA methylation were examined using robust linear regression, with adjustment for potential confounders. Fixed-effects meta-analyses were performed using METAL. Differentially methylated regions (DMRs) were identified by taking the intersection of results obtained using two regional approaches: comb-p and DMRcate. RESULTS Two DMRs were identified by both comb-p and DMRcate. Both regions were hypomethylated in newborns exposed to GDM in utero compared with control subjects. One DMR (chr 1: 248100345-248100614) was located in the OR2L13 promoter, and the other (chr 10: 135341870-135342620) was located in the gene body of CYP2E1. Individual CpG analyses did not reveal any differentially methylated loci based on a false discovery rate-adjusted P value threshold of 0.05. CONCLUSIONS Maternal GDM was associated with lower cord blood methylation levels within two regions, including the promoter of OR2L13, a gene associated with autism spectrum disorder, and the gene body of CYP2E1, which is upregulated in type 1 and type 2 diabetes. Future studies are needed to understand whether these associations are causal and possible health consequences.
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Affiliation(s)
- Caitlin G Howe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Bianca Cox
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Ruby Fore
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - James Jungius
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Tuomas Kvist
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Samantha Lent
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Harriet E Miles
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Sheryl Rifas-Shiman
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Paul Yousefi
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
| | - Christine Ladd-Acosta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, NY
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | - Vaia Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Social Medicine, University of Crete, Heraklion, Crete, Greece
- Department of Genetics and Cell Biology, Maastricht University, Maastricht, the Netherlands
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Eero Kajantie
- National Institute for Health and Welfare, Helsinki, Finland
- Research Unit for Pediatrics, Dermatology, Clinical Genetics, Obstetrics and Gynecology, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University for Science and Technology, Trondheim, Norway
- Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Jari M T Lahti
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
- Bristol NIHR Biomedical Research Centre, Bristol, U.K
| | - Augusto Litonjua
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Tim S Nawrot
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Emily Oken
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Michelle Plusquin
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Katri Räikkönen
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
- Bristol NIHR Biomedical Research Centre, Bristol, U.K
| | - Gemma C Sharp
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Section on Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Weiming Zhang
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
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28
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Rosik J, Szostak B, Machaj F, Pawlik A. The role of genetics and epigenetics in the pathogenesis of gestational diabetes mellitus. Ann Hum Genet 2019; 84:114-124. [DOI: 10.1111/ahg.12356] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Revised: 09/07/2019] [Accepted: 09/09/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Jakub Rosik
- Department of Physiology Pomeranian Medical University Szczecin Poland
| | - Bartosz Szostak
- Department of Physiology Pomeranian Medical University Szczecin Poland
| | - Filip Machaj
- Department of Physiology Pomeranian Medical University Szczecin Poland
| | - Andrzej Pawlik
- Department of Physiology Pomeranian Medical University Szczecin Poland
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29
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Abstract
PURPOSE OF REVIEW A growing body of epidemiological and experimental data indicate that nutritional or environmental stressors during early development can induce long-term adaptations that increase risk of obesity, diabetes, cardiovascular disease, and other chronic conditions-a phenomenon termed "developmental programming." A common phenotype in humans and animal models is altered body composition, with reduced muscle and bone mass, and increased fat mass. In this review, we summarize the recent literature linking prenatal factors to future body composition and explore contributing mechanisms. RECENT FINDINGS Many prenatal exposures, including intrauterine growth restriction, extremes of birth weight, maternal obesity, and maternal diabetes, are associated with increased fat mass, reduced muscle mass, and decreased bone density, with effects reported throughout infancy and childhood, and persisting into middle age. Mechanisms and mediators include maternal diet, breastmilk composition, metabolites, appetite regulation, genetic and epigenetic influences, stem cell commitment and function, and mitochondrial metabolism. Differences in body composition are a common phenotype following disruptions to the prenatal environment, and may contribute to developmental programming of obesity and diabetes risk.
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Affiliation(s)
- Elvira Isganaitis
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
- Research Division, Joslin Diabetes Center, 1 Joslin Place, Room 655A, Boston, 02215, MA, USA.
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30
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Wang N, Deng Z, Wen LM, Ding Y, He G. Understanding the Use of Smartphone Apps for Health Information Among Pregnant Chinese Women: Mixed Methods Study. JMIR Mhealth Uhealth 2019; 7:e12631. [PMID: 31215516 PMCID: PMC6604500 DOI: 10.2196/12631] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 05/17/2019] [Accepted: 05/20/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Hospital-based health promotion resources to assist pregnant women in adopting a healthy lifestyle and optimizing gestational weight gain are important, but with limited effects. Increasingly, women are using mobile apps to access health information during the antenatal period. OBJECTIVE The aims of the study were to investigate app-usage by Chinese women during pregnancy and to gain a better understanding of their views and attitudes toward apps containing health information. METHODS A mixed methods study design was applied. Study participants were recruited from 2 maternity hospitals in Shanghai, China, between March and July 2018. A self-administered Web-based survey was conducted with 535 pregnant Chinese women on their sources of health information and reasons for using apps during pregnancy. A total of 4 semistructured focus groups were also conducted with the pregnant women (n=28). RESULTS The use of pregnancy-related apps and the internet was common among the respondents. Almost half of the women had used pregnancy-related apps. Specifically, the use of apps for health information declined as pregnancy progressed from 70% (35/50) in the first trimester to 41.3% (143/346) in the third trimester. The main reason for using an app was to monitor fetal development (436/535, 81.5%), followed by learning about nutrition and recording diet in pregnancy (140/535, 26.2%). The women found that the apps were useful and convenient and can support lifestyle modifications during pregnancy. However, some apps also contained misinformation or incorrect information that could cause anxiety as reported by the participants. Many women expressed the need for developing an app containing evidence-based, well-informed, and tailored health information to support them during pregnancy. CONCLUSIONS The study suggests that apps were widely used by many Chinese women during pregnancy to monitor fetal development, to obtain diet and physical activity information, and to track their body changes. The women highly appreciated the evidence-based information, expert opinions, and tailored advice available on apps. Smartphone apps have the potential to deliver health information for pregnant women.
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Affiliation(s)
- Na Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai, China.,Nursing Department, Obstetrics and Gynaecology Hospital of Fudan University, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Zequn Deng
- Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Li Ming Wen
- School of Public Health, University of Sydney, Sydney, Australia.,Health Promotion Unit, Sydney Local Health District, Sydney, Australia
| | - Yan Ding
- Nursing Department, Obstetrics and Gynaecology Hospital of Fudan University, Fudan University, Shanghai, China
| | - Gengsheng He
- Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
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31
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Andersen E, Altıntaş A, Andersson-Hall U, Holmäng A, Barrès R. Environmental factors influence the epigenetic signature of newborns from mothers with gestational diabetes. Epigenomics 2019; 11:861-873. [DOI: 10.2217/epi-2019-0055] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Aim: To investigate the degree by which epigenetic signatures in children from mothers with gestational diabetes mellitus (GDM) are influenced by environmental factors. Methods: We profiled the DNA methylation signature of blood from lean, obese and GDM mothers and their respective newborns. Results: DNA methylation profiles of mothers showed high similarity across groups, while newborns from GDM mothers showed a marked distinct epigenetic profile compared with newborns of both lean and obese mothers. Analysis of variance in DNA methylation levels between newborns showed higher variance in the GDM group. Conclusion: Our results suggest that environmental factors, rather than direct transmission of epigenetic marks from the mother, are involved in establishing the epigenetic signature associated with GDM.
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Affiliation(s)
- Emil Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ali Altıntaş
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulrika Andersson-Hall
- Department of Physiology, Institute of Neuroscience & Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Agneta Holmäng
- Department of Physiology, Institute of Neuroscience & Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Romain Barrès
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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32
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Yan W, Zhang Y, Wang L, Yang W, Li C, Wang L, Gu P, Xia Y, Yan J, Shen Y, Zhao Q, Niu D, Mu K, Jiang Y. Maternal dietary glycaemic change during gestation influences insulin-related gene methylation in the placental tissue: a genome-wide methylation analysis. GENES AND NUTRITION 2019; 14:17. [PMID: 31086609 PMCID: PMC6506964 DOI: 10.1186/s12263-019-0634-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 04/09/2019] [Indexed: 01/04/2023]
Abstract
Background Studies have shown that the effects of maternal nutrition exposure during gestation influence metabolic risk in early life through an epigenetic mechanism. Low glycaemic index (GI) diets benefit both maternal and neonatal gestational outcomes. We hypothesize that maternal dietary GI or glycaemic load (GL) changes during pregnancy impact placental DNA methylation, especially in insulin resistance-related genes. Methods From a clinical trial of overweight pregnant women, 12 subjects who successfully reduced their GI and another 12 whose GI increased despite the intervention were selected. A genome-wide differential methylation analysis of placental tissue DNA was conducted, followed by bioinformatic annotation and validation analysis. The distribution of genome-wide differentially methylated regions (DMRs) and CpG sites was described. Six CpG sites in regulatory regions of four insulin-related genes (PLIN1, CPT1B, SSTR4, and CIDEA) were selectively validated by pyrosequencing. Pairwise Spearman correlation analysis was performed to test methylation–phenotype association in an additional 153 subjects from the same trial. Correlation between methylation of significant sites and placental mRNA expression of SSTR4 was also analysed. Results Dietary GI decreased by 24.3 (26.2–20.1) in the group who responded appropriately to the intervention and increased by 19.6 (15.2–29.1) in the comparison group. Epigenome-wide analysis identified 108 DMRs and 365 CpG sites with P < 0.05 adjusted by false discovery rate, distributed over all chromosomes. The methylation level of cg05009389 in the 3′ UTR of PLIN1 was negatively correlated with maternal weight gain (ρ = − 0.21, P = 0.027) and increase in insulin levels (ρ = − 0.24, P = 0.015) during gestation. Methylation levels of cg17586860 and cg18197392 in the 5′ UTR region of SSTR4 were negatively correlated with changes in dietary carbohydrate intake (ρ = − 0.24, Ps ≤ 0.006) and GL across gestation (ρ = − 0.23, Ps ≤ .008). This correlation survived the adjustment for maternal factors such as dietary GI, body mass index, and gestational diabetes. Up to 89% of cg18197392 methylation was explained by GL change. Cg14631053 methylation correlated positively with mRNA expression of SSTR4 in the placenta (ρ = 0.20, P = 0.037). Conclusions We provide the first evidence that maternal dietary GI changes during gestation may impact placental DNA methylation of insulin regulation genes. This supports the hypothesis that placental methylation may be the epigenetic mechanism through which maternal diet influences the metabolic health of offspring. Electronic supplementary material The online version of this article (10.1186/s12263-019-0634-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Weili Yan
- 1Department of Clinical Epidemiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102 China
| | - Yi Zhang
- 1Department of Clinical Epidemiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102 China
| | - Liping Wang
- 2Maternity and Child Health Center, International Peace Maternity & Child Health Hospital of China Welfare Institute, 910 Hengshan Road, Shanghai, 200030 China
| | - Wenhong Yang
- Department of Genetic Counseling, Kunshan Maternity and Child Care Center, 458 Western Tongfeng Road, Kunshan, 215300 China
| | - Chunying Li
- Department of Genetic Counseling, Kunshan Maternity and Child Care Center, 458 Western Tongfeng Road, Kunshan, 215300 China
| | - Liling Wang
- 2Maternity and Child Health Center, International Peace Maternity & Child Health Hospital of China Welfare Institute, 910 Hengshan Road, Shanghai, 200030 China
| | - Ping Gu
- Department of Genetic Counseling, Kunshan Maternity and Child Care Center, 458 Western Tongfeng Road, Kunshan, 215300 China
| | - Yingqian Xia
- 2Maternity and Child Health Center, International Peace Maternity & Child Health Hospital of China Welfare Institute, 910 Hengshan Road, Shanghai, 200030 China
| | - Juhua Yan
- Department of Genetic Counseling, Kunshan Maternity and Child Care Center, 458 Western Tongfeng Road, Kunshan, 215300 China
| | - Ying Shen
- 2Maternity and Child Health Center, International Peace Maternity & Child Health Hospital of China Welfare Institute, 910 Hengshan Road, Shanghai, 200030 China
| | - Qian Zhao
- 1Department of Clinical Epidemiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102 China
| | - Dayan Niu
- 1Department of Clinical Epidemiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102 China
| | - Kai Mu
- 1Department of Clinical Epidemiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102 China
| | - Yuan Jiang
- 1Department of Clinical Epidemiology, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102 China
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33
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Yu DQ, Lv PP, Yan YS, Xu GX, Sadhukhan A, Dong S, Shen Y, Ren J, Zhang XY, Feng C, Huang YT, Tian S, Zhou Y, Cai YT, Ming ZH, Ding GL, Zhu H, Sheng JZ, Jin M, Huang HF. Intrauterine exposure to hyperglycemia retards the development of brown adipose tissue. FASEB J 2019; 33:5425-5439. [PMID: 30759346 DOI: 10.1096/fj.201801818r] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Brown adipose tissue (BAT) is an exclusive tissue of nonshivering thermogenesis. It is fueled by lipids and glucose and involved in energy and metabolic homeostasis. Intrauterine exposure to hyperglycemia during gestational diabetes mellitus may result in abnormal fetal development and metabolic phenotypes in adulthood. However, whether intrauterine hyperglycemia influences the development of BAT is unknown. In this study, mouse embryos were exposed to the intrauterine hyperglycemia environment by injecting streptozocin into pregnant mice at 1 d post coitum (dpc). The structure of BAT was examined by hematoxylin and eosin staining and immunohistochemical analysis. The glucose uptake in BAT was measured in vivo by [18F]-fluoro-2-deoxyglucose-micro-positron emission tomography. The gene expression in BAT was determined by real-time PCR, and the 5'-C-phosphate-G-3' site-specific methylation was quantitatively analyzed. Intrauterine hyperglycemia exposure resulted in the impaired structure of BAT and decreased glucose uptake function in BAT in adulthood. The expressions of the genes involved in thermogenesis and mitochondrial respiratory chain in BAT, such as Ucp1, Cox5b, and Elovl3, were down-regulated by intrauterine hyperglycemia exposure at 18.5 dpc and at 16 wk of age. Furthermore, higher methylation levels of Ucp1, Cox5b, and Elovl3 were found in offspring of mothers with streptozotocin-induced diabetes. Our results provide the evidence for enduring inhibitory effects of intrauterine hyperglycemia on BAT development in offspring. Intrauterine hyperglycemia is associated with increased DNA methylation of the BAT specific genes in offspring, which support an epigenetic involvement.-Yu, D.-Q., Lv, P.-P., Yan, Y.-S., Xu, G.-X., Sadhukhan, A., Dong, S., Shen, Y., Ren, J., Zhang, X.-Y., Feng, C., Huang, Y.-T., Tian, S., Zhou, Y., Cai, Y.-T., Ming, Z.-H., Ding, G.-L., Zhu, H., Sheng, J.-Z., Jin, M., Huang, H.-F. Intrauterine exposure to hyperglycemia retards the development of brown adipose tissue.
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Affiliation(s)
- Dan-Qing Yu
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Ping-Ping Lv
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China.,Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi-Shang Yan
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Guan-Xin Xu
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Annapurna Sadhukhan
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shan Dong
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China.,Qilu Hospital of Shandong University, Jinan, China
| | - Yan Shen
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China.,Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Jun Ren
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China.,Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xue-Ying Zhang
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chun Feng
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Yi-Ting Huang
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Shen Tian
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Yin Zhou
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Yi-Ting Cai
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhen-Hua Ming
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Guo-Lian Ding
- International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Embryo-Fetal Original Adult Disease, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hong Zhu
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Jian-Zhong Sheng
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China.,Department of Pathology and Pathophysiology, School of Medicine, Zhejiang University, Hangzhou, China; and
| | - Min Jin
- The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China
| | - He-Feng Huang
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University, Hangzhou, China.,Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
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34
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Abstract
The Kelly West Award for Outstanding Achievement in Epidemiology is presented in honor of the memory of Kelly M. West, widely regarded as the "father of diabetes epidemiology." Harry Keen described West as characterized by "generosity of spirit, deeply human and humorous, deliberate of address, modest, conciliatory and untiringly persevering. Few people have done so much to change the landscape of diabetes" (1). The award and lecture recognize a leading epidemiologist in the field of diabetes. Dana Dabelea, MD, PhD, received this award at the American Diabetes Association's 77th Scientific Sessions, 9-13 June 2017, in San Diego, CA. She presented the Kelly West Award Lecture, "Diabetes in Youth-Looking Backwards to Inform the Future," on Sunday, 11 June 2017.
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Affiliation(s)
- Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, and Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
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