1
|
Hari Gopal S, Alenghat T, Pammi M. Early life epigenetics and childhood outcomes: a scoping review. Pediatr Res 2024:10.1038/s41390-024-03585-7. [PMID: 39289593 DOI: 10.1038/s41390-024-03585-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 08/28/2024] [Accepted: 09/07/2024] [Indexed: 09/19/2024]
Abstract
Epigenetics is the study of changes in gene expression, without a change in the DNA sequence that are potentially heritable. Epigenetic mechanisms such as DNA methylation, histone modifications, and small non-coding RNA (sncRNA) changes have been studied in various childhood disorders. Causal links to maternal health and toxin exposures can introduce epigenetic modifications to the fetal DNA, which can be detected in the cord blood. Cord blood epigenetic modifications provide evidence of in-utero stressors and immediate postnatal changes, which can impact both short and long-term outcomes in children. The mechanisms of these epigenetic changes can be leveraged for prevention, early detection, and intervention, and to discover novel therapeutic modalities in childhood diseases. We report a scoping review of early life epigenetics, the influence of maternal health, maternal toxin, and drug exposures on the fetus, and its impact on perinatal, neonatal, and childhood outcomes. IMPACT STATEMENT: Epigenetic changes such as DNA methylation, histone modification, and non-coding RNA have been implicated in the pathophysiology of various disease processes. The fundamental changes to an offspring's epigenome can begin in utero, impacting the immediate postnatal period, childhood, adolescence, and adulthood. This scoping review summarizes current literature on the impact of early life epigenetics, especially DNA methylation on childhood health outcomes.
Collapse
Affiliation(s)
- Srirupa Hari Gopal
- Dept. of Pediatrics, Division of Neonatology, Baylor College of Medicine & Texas Children's Hospital, Houston, TX, USA.
| | - Theresa Alenghat
- Division of Immunobiology and Center for Inflammation and Tolerance, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Mohan Pammi
- Dept. of Pediatrics, Division of Neonatology, Baylor College of Medicine & Texas Children's Hospital, Houston, TX, USA
| |
Collapse
|
2
|
Hivert MF, Backman H, Benhalima K, Catalano P, Desoye G, Immanuel J, McKinlay CJD, Meek CL, Nolan CJ, Ram U, Sweeting A, Simmons D, Jawerbaum A. Pathophysiology from preconception, during pregnancy, and beyond. Lancet 2024; 404:158-174. [PMID: 38909619 DOI: 10.1016/s0140-6736(24)00827-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/07/2024] [Accepted: 04/19/2024] [Indexed: 06/25/2024]
Abstract
Gestational diabetes is the most common medical complication in pregnancy. Historically, gestational diabetes was considered a pregnancy complication involving treatment of rising glycaemia late in the second trimester. However, recent evidence challenges this view. Pre-pregnancy and pregnancy-specific factors influence gestational glycaemia, with open questions regarding roles of non-glycaemic factors in the aetiology and consequences of gestational diabetes. Varying patterns of insulin secretion and resistance in early and late pregnancy underlie a heterogeneity of gestational diabetes in the timing and pathophysiological subtypes with clinical implications: early gestational diabetes and insulin resistant gestational diabetes subtypes are associated with a higher risk of pregnancy complications. Metabolic perturbations of early gestational diabetes can affect early placental development, affecting maternal metabolism and fetal development. Fetal hyperinsulinaemia can affect the development of multiple fetal tissues, with short-term and long-term consequences. Pregnancy complications are prevented by managing glycaemia in early and late pregnancy in some, but not all women with gestational diabetes. A better understanding of the pathophysiology and heterogeneity of gestational diabetes will help to develop novel management approaches with focus on improved prevention of maternal and offspring short-term and long-term complications, from pre-conception, throughout pregnancy, and beyond.
Collapse
Affiliation(s)
- Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Helena Backman
- Faculty of Medicine and Health, Department of Obstetrics and Gynecology, Örebro University, Örebro, Sweden
| | - Katrien Benhalima
- Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Patrick Catalano
- Maternal Infant Research Institute, Obstetrics and Gynecology Research, Tufts Medical Center, Boston, MA, USA; School of Medicine, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Gernot Desoye
- Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria
| | - Jincy Immanuel
- School of Medicine, Western Sydney University, Sydney, NSW, Australia; Institute for Women's Health, College of Nursing, Texas Woman's University, Denton, TX, USA
| | - Christopher J D McKinlay
- Department of Paediatrics Child and Youth Health, University of Auckland, Auckland, New Zealand; Kidz First Neonatal Care, Te Whatu Ora Counties Manukau, Auckland, New Zealand
| | - Claire L Meek
- Leicester Diabetes Centre, Leicester General Hospital, University of Leicester, Leicester, UK
| | - Christopher J Nolan
- School of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, ACT, Australia; Department of Endocrinology, Canberra Health Services, Woden, ACT, Australia
| | - Uma Ram
- Department of Obstetrics and Gynecology, Seethapathy Clinic and Hospital, Chennai, Tamilnadu, India
| | - Arianne Sweeting
- Department of Endocrinology, Royal Prince Alfred Hospital and University of Sydney, Sydney, NSW, Australia
| | - David Simmons
- School of Medicine, Western Sydney University, Sydney, NSW, Australia.
| | - Alicia Jawerbaum
- Facultad de Medicina, Universidad de Buenos Aires (UBA)-CONICET, Buenos Aires, Argentina; Laboratory of Reproduction and Metabolism, CEFYBO-CONICET, Buenos Aires, Argentina
| |
Collapse
|
3
|
Wang S, Liu Y, Tam WH, Ching JYL, Xu W, Yan S, Qin B, Lin L, Peng Y, Zhu J, Cheung CP, Ip KL, Wong YM, Cheong PK, Yeung YL, Kan WHB, Leung TF, Leung TY, Chang EB, Rubin DT, Claud EC, Wu WKK, Tun HM, Chan FKL, Ng SC, Zhang L. Maternal gestational diabetes mellitus associates with altered gut microbiome composition and head circumference abnormalities in male offspring. Cell Host Microbe 2024; 32:1192-1206.e5. [PMID: 38955186 DOI: 10.1016/j.chom.2024.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 05/02/2024] [Accepted: 06/05/2024] [Indexed: 07/04/2024]
Abstract
The impact of gestational diabetes mellitus (GDM) on maternal or infant microbiome trajectory remains poorly understood. Utilizing large-scale longitudinal fecal samples from 264 mother-baby dyads, we present the gut microbiome trajectory of the mothers throughout pregnancy and infants during the first year of life. GDM mothers had a distinct microbiome diversity and composition during the gestation period. GDM leaves fingerprints on the infant's gut microbiome, which are confounded by delivery mode. Further, Clostridium species positively correlate with a larger head circumference at month 12 in male offspring but not females. The gut microbiome of GDM mothers with male fetuses displays depleted gut-brain modules, including acetate synthesis I and degradation and glutamate synthesis II. The gut microbiome of female infants of GDM mothers has higher histamine degradation and dopamine degradation. Together, our integrative analysis indicates that GDM affects maternal and infant gut composition, which is associated with sexually dimorphic infant head growth.
Collapse
Affiliation(s)
- Shilan Wang
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingzhi Liu
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Wing Hung Tam
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessica Y L Ching
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wenye Xu
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shuai Yan
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Biyan Qin
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Ling Lin
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Ye Peng
- Microbiota I-Center (MagIC), Hong Kong SAR, China; JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jie Zhu
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Chun Pan Cheung
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ka Long Ip
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuen Man Wong
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Pui Kuan Cheong
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuk Ling Yeung
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wing Him Betty Kan
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ting Fan Leung
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tak Yeung Leung
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eugene B Chang
- Department of Medicine, Section of Gastroenterology, Hepatology, and Nutrition, University of Chicago, Chicago, IL 60637, USA
| | - David T Rubin
- Department of Medicine, Section of Gastroenterology, Hepatology, and Nutrition, University of Chicago, Chicago, IL 60637, USA
| | - Erika C Claud
- Departments of Pediatrics and Medicine, Pritzker School of Medicine/Biological Sciences Division, University of Chicago, Chicago, IL 60637, USA
| | - William K K Wu
- Department of Anaesthesia and Intensive Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hein M Tun
- Microbiota I-Center (MagIC), Hong Kong SAR, China; JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Francis K L Chan
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Siew C Ng
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; State Key Laboratory of Digestive Disease Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Lin Zhang
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
| |
Collapse
|
4
|
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.
Collapse
Affiliation(s)
| | | | | | - José Romo-Yáñez
- Coordinación de Endocrinología Ginecológica y Perinatal, Instituto Nacional de Perinatología, Montes Urales 800, Lomas Virreyes, Mexico City 11000, Mexico
| |
Collapse
|
5
|
Xiang AH, Lin JC, Chow T, Martinez MP, Negriff S, Page KA, McConnell R, Carter SA. Types of diabetes during pregnancy and risk of depression and anxiety in offspring from childhood to young adulthood. Diabetes Obes Metab 2024; 26:224-232. [PMID: 37823225 PMCID: PMC10962903 DOI: 10.1111/dom.15308] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/14/2023] [Accepted: 09/16/2023] [Indexed: 10/13/2023]
Abstract
AIMS To assess maternal pre-existing type 1 diabetes (T1D), type 2 diabetes (T2D), gestational diabetes mellitus (GDM) during pregnancy and risk of depression and anxiety from childhood to young adulthood in offspring. MATERIALS AND METHODS This birth cohort included singletons born during 1995-2015, followed using electronic medical records through 2020. Cox regression was used to estimate hazard ratio (HR) of depression or anxiety diagnosis during follow-up associated with in-utero exposure to maternal diabetes. RESULTS Among 439 590 offspring, 29 891 (6.8%) had depression and 51 918 (11.8%) had anxiety. T1D, followed by T2D and GDM requiring antidiabetes medication were associated with risk of depression and anxiety in offspring. Compared with no diabetes during pregnancy, the adjusted HRs (95% confidence interval) of depression in offspring associated with T1D, T2D or GDM requiring medications were 1.44 (1.09-1.91), 1.30 (1.15-1.47) and 1.18 (1.11-1.26) respectively; conversely, HRs were 0.97 (0.82-1.15) for T2D and 0.99 (0.94-1.04) for GDM without medications. The associations with anxiety followed similar patterns. The significant associations were observed for offspring ages 5-12 and >12-18 years and attenuated for 18-25 years. CONCLUSION These data suggest that the severity of diabetes (T1D vs. T2D requiring medications vs. GDM requiring medications) during pregnancy may increase the vulnerability of offspring for depression or anxiety.
Collapse
Affiliation(s)
- Anny H. Xiang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Jane C. Lin
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Ting Chow
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Mayra P. Martinez
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Sonya Negriff
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Kathleen A. Page
- Division of Endocrinology, Diabetes and Obesity Research Institute
| | - Rob McConnell
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Sarah A. Carter
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| |
Collapse
|
6
|
Diniz MS, Hiden U, Falcão-Pires I, Oliveira PJ, Sobrevia L, Pereira SP. Fetoplacental endothelial dysfunction in gestational diabetes mellitus and maternal obesity: A potential threat for programming cardiovascular disease. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166834. [PMID: 37541330 DOI: 10.1016/j.bbadis.2023.166834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/08/2023] [Accepted: 07/27/2023] [Indexed: 08/06/2023]
Abstract
Gestational diabetes mellitus (GDM) and maternal obesity (MO) increase the risk of adverse fetal outcomes, and the incidence of cardiovascular disease later in life. Extensive research has been conducted to elucidate the underlying mechanisms by which GDM and MO program the offspring to disease. This review focuses on the role of fetoplacental endothelial dysfunction in programming the offspring for cardiovascular disease in GDM and MO pregnancies. We discuss how pre-existing maternal health conditions can lead to vascular dysfunction in the fetoplacental unit and the fetus. We also examine the role of fetoplacental endothelial dysfunction in impairing fetal cardiovascular system development and the involvement of nitric oxide and hydrogen sulfide in mediating fetoplacental vascular dysfunction. Furthermore, we suggest that the L-Arginine-Nitric Oxide and the Adenosine-L-Arginine-Nitric Oxide (ALANO) signaling pathways are pertinent targets for research. Despite significant progress in this area, there are still knowledge gaps that need to be addressed in future research.
Collapse
Affiliation(s)
- Mariana S Diniz
- CNC - Center for Neuroscience and Cell Biology, CIBB - Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal; Ph.D. Programme in Experimental Biology and Biomedicine (PDBEB), Institute for Interdisciplinary Research (IIIUC), University of Coimbra, Coimbra, Portugal; Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrics, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile.
| | - Ursula Hiden
- Department of Obstetrics and Gynecology, Medical University of Graz, 8063 Graz, Austria; Research Unit Early Life Determinants (ELiD), Medical University of Graz, 8036 Graz, Austria
| | - Inês Falcão-Pires
- UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Paulo J Oliveira
- CNC - Center for Neuroscience and Cell Biology, CIBB - Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
| | - Luis Sobrevia
- Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrics, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile; Department of Physiology, Faculty of Pharmacy, Universidad de Sevilla, Seville E-41012, Spain; Medical School (Faculty of Medicine), São Paulo State University (UNESP), São Paulo, Brazil; University of Queensland Centre for Clinical Research (UQCCR), Faculty of Medicine and Biomedical Sciences, University of Queensland, Herston, QLD 4029, Australia; Tecnologico de Monterrey, Eutra, The Institute for Obesity Research (IOR), School of Medicine and Health Sciences, Monterrey, Nuevo León, Mexico.
| | - Susana P Pereira
- CNC - Center for Neuroscience and Cell Biology, CIBB - Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal; Laboratory of Metabolism and Exercise (LaMetEx), Research Centre in Physical Activity, Health and Leisure (CIAFEL), Laboratory for Integrative and Translational Research in Population Health (ITR), Faculty of Sports, University of Porto, 4200-450 Porto, Portugal.
| |
Collapse
|
7
|
Linares-Pineda T, Peña-Montero N, Fragoso-Bargas N, Gutiérrez-Repiso C, Lima-Rubio F, Suarez-Arana M, Sánchez-Pozo A, Tinahones FJ, Molina-Vega M, Picón-César MJ, Sommer C, Morcillo S. Epigenetic marks associated with gestational diabetes mellitus across two time points during pregnancy. Clin Epigenetics 2023; 15:110. [PMID: 37415231 PMCID: PMC10324212 DOI: 10.1186/s13148-023-01523-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/23/2023] [Indexed: 07/08/2023] Open
Abstract
An adverse intrauterine or periconceptional environment, such as hyperglycemia during pregnancy, can affect the DNA methylation pattern both in mothers and their offspring. In this study, we explored the epigenetic profile in maternal peripheral blood samples through pregnancy to find potential epigenetic biomarkers for gestational diabetes mellitus (GDM), as well as candidate genes involved in GDM development. We performed an epigenome-wide association study in maternal peripheral blood samples in 32 pregnant women (16 with GDM and 16 non-GDM) at pregnancy week 24-28 and 36-38. Biochemical, anthropometric, and obstetrical variables were collected from all the participants. The main results were validated in an independent cohort with different ethnic origin (European = 307; South Asians = 165). Two hundred and seventy-two CpGs sites remained significantly different between GDM and non-GDM pregnant women across two time points during pregnancy. The significant CpG sites were related to pathways associated with type I diabetes mellitus, insulin resistance and secretion. Cg01459453 (SELP gene) was the most differentiated in the GDM group versus non-GDM (73.6 vs. 60.9, p = 1.06E-11; FDR = 7.87E-06). Three CpG sites (cg01459453, cg15329406, and cg04095097) were able to discriminate between GDM cases and controls (AUC = 1; p = 1.26E-09). Three differentially methylated positions (DMPs) were replicated in an independent cohort. To conclude, epigenetic marks during pregnancy differed between GDM cases and controls suggesting a role for these genes in GDM development. Three CpGs were able to discriminate GDM and non-GDM groups with high specificity and sensitivity, which may be biomarker candidates for diagnosis or prediction of GDM.
Collapse
Affiliation(s)
- Teresa Linares-Pineda
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Universitario Virgen de la Victoria, 29010, Málaga, Spain
- Departamento de Bioquímica y Biología Molecular 2, Universidad de Granada, Granada, Spain
| | - Nerea Peña-Montero
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Universitario Virgen de la Victoria, 29010, Málaga, Spain
| | - Nicolás Fragoso-Bargas
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Carolina Gutiérrez-Repiso
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Universitario Virgen de la Victoria, 29010, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 29029, Madrid, Spain
| | - Fuensanta Lima-Rubio
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Universitario Virgen de la Victoria, 29010, Málaga, Spain
| | - María Suarez-Arana
- Departamento de Obstetricia y Ginecología, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Regional Universitario de Málaga, 29009, Málaga, Spain
| | - Antonio Sánchez-Pozo
- Departamento de Bioquímica y Biología Molecular 2, Universidad de Granada, Granada, Spain
| | - Francisco J Tinahones
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Universitario Virgen de la Victoria, 29010, Málaga, Spain
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Departamento de Medicina y Dermatología, Universidad de Málaga, 29010, Málaga, Spain
| | - María Molina-Vega
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Universitario Virgen de la Victoria, 29010, Málaga, Spain
| | - María José Picón-César
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Universitario Virgen de la Victoria, 29010, Málaga, Spain.
| | - Christine Sommer
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Sonsoles Morcillo
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Instituto de Investigación Biomédica de Málaga-IBIMA_Plataforma Bionand, Hospital Universitario Virgen de la Victoria, 29010, Málaga, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 29029, Madrid, Spain.
| |
Collapse
|
8
|
Kan H, Liu H, Mu Y, Li Y, Zhang M, Cao Y, Dong Y, Li Y, Wang K, Li Q, Hu A, Zheng Y. Novel genetic variants linked to prelabor rupture of membranes among Chinese pregnant women. Placenta 2023; 137:14-22. [PMID: 37054626 DOI: 10.1016/j.placenta.2023.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/04/2023] [Accepted: 04/07/2023] [Indexed: 04/15/2023]
Abstract
INTRODUCTION The etiology of prelabor rupture of membranes (PROM), either preterm or term PROM (PPROM or TPROM), remains largely unknown. This study aimed to investigate the association between maternal genetic variants (GVs) and PROM and further establish a GV-based prediction model for PROM. METHODS In this case-cohort study (n = 1166), Chinese pregnant women with PPROM (n = 51), TPROM (n = 283) and controls (n = 832) were enrolled. A weighted Cox model was applied to identify the GVs (single nucleotide polymorphisms [SNPs], insertions/deletions, and copy number variants) associated with either PPROM or TPROM. Gene set enrichment analysis (GSEA) was to explore the mechanisms. The suggestively significant GVs were applied to establish a random forest (RF) model. RESULTS PTPRT variants (rs117950601, P = 4.37 × 10-9; rs147178603, P = 8.98 × 10-9) and SNRNP40 variant (rs117573344, P = 2.13 × 10-8) were associated with PPROM. STXBP5L variant (rs10511405, P = 4.66 × 10-8) was associated with TPROM. GSEA results showed that genes associated with PPROM were enriched in cell adhesion, and TPROM in ascorbate and glucuronidation metabolism. The area under the receiver operating characteristic curve of SNP-based RF model for PPROM was 0.961, with a sensitivity of 100.0% and specificity of 83.3%. DISCUSSION Maternal GVs in PTPRT and SNRNP40 were associated with PPROM, and GV in STXBP5L was associated with TPROM. Cell adhesion participated in PPROM, while ascorbate and glucuronidation metabolism contributed in TPROM. The PPROM might be well predicted using the SNP-based RF model.
Collapse
Affiliation(s)
- Hui Kan
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Haiyan Liu
- Department of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China; Department of Blood Transfusion, Anqing Municipal Hospital, Anqing, 246003, China
| | - Yutong Mu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Yijie Li
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Miao Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Yanmin Cao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Yao Dong
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Yaxin Li
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Kailin Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Qing Li
- Department of Obstetrics and Gynecology, Anqing Municipal Hospital, Anqing, 246003, China.
| | - Anqun Hu
- Department of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China.
| | - Yingjie Zheng
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China; Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
9
|
Lowe WL. Genetics and Epigenetics: Implications for the Life Course of Gestational Diabetes. Int J Mol Sci 2023; 24:6047. [PMID: 37047019 PMCID: PMC10094577 DOI: 10.3390/ijms24076047] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Gestational diabetes (GDM) is one of the most common complications of pregnancy, affecting as many as one in six pregnancies. It is associated with both short- and long-term adverse outcomes for the mother and fetus and has important implications for the life course of affected women. Advances in genetics and epigenetics have not only provided new insight into the pathophysiology of GDM but have also provided new approaches to identify women at high risk for progression to postpartum cardiometabolic disease. GDM and type 2 diabetes share similarities in their pathophysiology, suggesting that they also share similarities in their genetic architecture. Candidate gene and genome-wide association studies have identified susceptibility genes that are shared between GDM and type 2 diabetes. Despite these similarities, a much greater effect size for MTNR1B in GDM compared to type 2 diabetes and association of HKDC1, which encodes a hexokinase, with GDM but not type 2 diabetes suggest some differences in the genetic architecture of GDM. Genetic risk scores have shown some efficacy in identifying women with a history of GDM who will progress to type 2 diabetes. The association of epigenetic changes, including DNA methylation and circulating microRNAs, with GDM has also been examined. Targeted and epigenome-wide approaches have been used to identify DNA methylation in circulating blood cells collected during early, mid-, and late pregnancy that is associated with GDM. DNA methylation in early pregnancy had some ability to identify women who progressed to GDM, while DNA methylation in blood collected at 26-30 weeks gestation improved upon the ability of clinical factors alone to identify women at risk for progression to abnormal glucose tolerance post-partum. Finally, circulating microRNAs and long non-coding RNAs that are present in early or mid-pregnancy and associated with GDM have been identified. MicroRNAs have also proven efficacious in predicting both the development of GDM as well as its long-term cardiometabolic complications. Studies performed to date have demonstrated the potential for genetic and epigenetic technologies to impact clinical care, although much remains to be done.
Collapse
Affiliation(s)
- William L Lowe
- Department of Medicine, Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior Street, Chicago, IL 60611, USA
| |
Collapse
|
10
|
From Metabolic Syndrome to Type 2 Diabetes in Youth. CHILDREN 2023; 10:children10030516. [PMID: 36980074 PMCID: PMC10047215 DOI: 10.3390/children10030516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/26/2023] [Accepted: 02/13/2023] [Indexed: 03/08/2023]
Abstract
In the frame of metabolic syndrome, type 2 diabetes emerges along a continuum of the risk from the clustering of all its components, namely visceral obesity, high blood pressure and lipids, and impaired glucose homeostasis. Insulin resistance is the hallmark common to all the components and, in theory, is a reversible condition. Nevertheless, the load that this condition can exert on the β-cell function at the pubertal transition is such as to determine its rapid and irreversible deterioration leading to plain diabetes. The aim of this review is to highlight, in the context of metabolic syndrome, age-specific risk factors that lead to type 2 diabetes onset in youth; resume age specific screening and diagnostic criteria; and anticipate potential for treatment. Visceral obesity and altered lipid metabolism are robust grounds for the development of the disease. Genetic differences in susceptibility to hampered β-cell function in the setting of obesity and insulin resistance largely explain why some adolescents with obesity do develop diabetes at a young age and some others do not. Lifestyle intervention with a healthy diet and physical activity remains the pillar of the type 2 diabetes treatment in youth. As to the pharmacological management, metformin and insulin have failed to rescue β-cell function and to ensure long-lasting glycemic control in youth. A new era might start with the approval for use in pediatric age of drugs largely prescribed in adults, such as dipeptidyl peptidase-4 and sodium-dependent glucose transport inhibitors, and of new weight-lowering drugs in the pipeline such as single and multiple agonists of the glucagon-like peptide 1 receptor. The latter drugs can have tremendous impact on the natural history of the disease. By treating diabetes, they will reduce the burden of all the metabolic abnormalities belonging to the syndrome while causing a tremendous weight loss hitherto never seen before.
Collapse
|
11
|
El-Sayed A, Aleya L, Kamel M. Epigenetics and the role of nutraceuticals in health and disease. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:28480-28505. [PMID: 36694069 DOI: 10.1007/s11356-023-25236-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
In the post-genomic era, the data provided by complete genome sequencing could not answer several fundamental questions about the causes of many noninfectious diseases, diagnostic biomarkers, and novel therapeutic approaches. The rapidly expanding understanding of epigenetic mechanisms, as well as widespread acceptance of their hypothesized role in disease induction, facilitated the development of a number of novel diagnostic markers and therapeutic concepts. Epigenetic aberrations are reversible in nature, which enables the treatment of serious incurable diseases. Therefore, the interest in epigenetic modulatory effects has increased over the last decade, so about 60,000 publications discussing the expression of epigenetics could be detected in the PubMed database. Out of these, 58,442 were published alone in the last 10 years, including 17,672 reviews (69 historical articles), 314 clinical trials, 202 case reports, 197 meta-analyses, 156 letters to the editor, 108 randomized controlled trials, 87 observation studies, 40 book chapters, 22 published lectures, and 2 clinical trial protocols. The remaining publications are either miscellaneous or a mixture of the previously mentioned items. According to the species and gender, the publications included 44,589 human studies (17,106 females, 14,509 males, and the gender is not mentioned in the remaining papers) and 30,253 animal studies. In the present work, the role of epigenetic modulations in health and disease and the influencing factors in epigenetics are discussed.
Collapse
Affiliation(s)
- Amr El-Sayed
- Department of Medicine and Infectious Diseases, Faculty of Veterinary Medicine, Cairo University, Giza, 12211, Egypt
| | - Lotfi Aleya
- Chrono-Environnement Laboratory, UMR CNRS 6249, Bourgogne Franche-Comté University, 25030, Besançon Cedex, France
| | - Mohamed Kamel
- Department of Medicine and Infectious Diseases, Faculty of Veterinary Medicine, Cairo University, Giza, 12211, Egypt.
| |
Collapse
|
12
|
Fang J, Wu X, He J, Zhang H, Chen X, Zhang H, Novakovic B, Qi H, Yu X. RBM15 suppresses hepatic insulin sensitivity of offspring of gestational diabetes mellitus mice via m6A-mediated regulation of CLDN4. Mol Med 2023; 29:23. [PMID: 36803098 PMCID: PMC9942341 DOI: 10.1186/s10020-023-00615-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 01/29/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Gestational diabetes Mellitus (GDM) is a common pregnancy-specific disease with high morbidity, which is linked to a high risk of obesity and diabetes in offspring. N6-methyladenosine modification of RNA is emerging as an important epigenetic mechanism that is widely manifested in many diseases. This study aimed to investigate the mechanism of m6A methylation in metabolic syndrome in offspring result from intrauterine hyperglycemia. METHODS GDM mice were established by feeding a high-fat diet 1 weeks before pregnancy. The m6A RNA methylation quantification kit was used to detect liver tissue methylation levels. PCR array was used to determine the expression of the m6A methylation modification enzyme. Immunohistochemistry, qRT-PCR, and western blot were used to examine the expression of RBM15, METTL13, IGF2BP1, and IGF2BP2. Subsequently, methylated RNA immunoprecipitation sequencing combined with mRNA sequencing, followed by dot blot and glucose uptake tests, were performed. RESULTS In this study, we found that offspring from a GDM mother were more vulnerable to glucose intolerance and insulin resistance. GC-MS revealed significant metabolic changes including saturated fatty acids and unsaturated fatty acids in liver of GDM offspring. We also demonstrated that global mRNA m6A methylation level was significantly increased in the fetal liver of GDM mice, indicating epigenetic change may have a strong relationship with the mechanism of metabolism syndrome. Concordantly, RBM15, the RNA binding methyltransferase, was upregulated in the liver. In vitro, RBM15 suppressed insulin sensitivity and increased insulin resistance through m6A-regulated epigenetic inhabitation of CLDN4. Moreover, MeRIP-sequencing and mRNA-sequencing revealed that differently regulated genes with differential m6A peaks were enriched in metabolic pathways. CONCLUSION Our study revealed the essential role of RBM15 in insulin resistance and the effect of RBM15-regulated m6A modification in the metabolic syndrome of offspring of GDM mice.
Collapse
Affiliation(s)
- Jie Fang
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Rd., Chongqing, 400016, China.,Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Xiafei Wu
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Rd., Chongqing, 400016, China.,Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Jie He
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Rd., Chongqing, 400016, China.,Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Hanwen Zhang
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Rd., Chongqing, 400016, China.,Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Xuyang Chen
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Rd., Chongqing, 400016, China.,Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Hua Zhang
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Rd., Chongqing, 400016, China.,Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Boris Novakovic
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, VIC, Australia
| | - Hongbo Qi
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Rd., Chongqing, 400016, China. .,Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China. .,Chongqing Health Center for Women and Children, Chongqing, 401120, China.
| | - Xinyang Yu
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Rd., Chongqing, 400016, China. .,Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China.
| |
Collapse
|
13
|
Liu C, Feng H, Zhang L, Guo Y, Ma J, Yang L. MicroRNA‑143‑3p levels are reduced in the peripheral blood of patients with gestational diabetes mellitus and influences pancreatic β‑cell function and viability. Exp Ther Med 2023; 25:81. [PMID: 36684655 PMCID: PMC9842943 DOI: 10.3892/etm.2022.11780] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 05/17/2022] [Indexed: 12/31/2022] Open
Abstract
Pancreatic β-cell dysfunction has been demonstrated to mediate key roles in the pathogenesis of gestational diabetes mellitus (GDM). Accumulating evidence has supported the functional involvement of microRNAs (miRNAs) in various types of diabetes, including GDM. However, the detailed biological effect of miRNAs in pancreatic β-cell dysfunction remains poorly understood. In the present study, microarray data of miRNAs in the blood plasma of patients with GDM were retrieved from the Gene Expression Omnibus dataset under the accession number GSE98043. Reverse transcription-quantitative PCR (RT-qPCR) was performed to measure the expression levels of miR-143-3p in the blood plasma isolated from 30 female patients with GDM women and 30 healthy female individuals. Subsequently, murine pancreatic β-cell line, MIN6 cells were treated with high glucose (HG) to construct in vitro cell models of GDM. miR-143-3p in HG-treated MIN6 cells was overexpressed or knocked down using miR-143-3p mimics and miR-143-3p inhibitor. Cell viability, insulin secretion and proinflammatory cytokine production were examined using CCK-8 and ELISA, respectively Cell apoptosis was measured by flow cytometry assay. The protein expression levels of proteins involved in the TAK1/NF-κB pathway were also assessed using western blot. The levels of miR-143-3p were found to be markedly lower in samples from patients with GDM, which were in turn negatively correlated with blood glucose levels. Overexpression of miR-143-3p in MIN6 cells significantly reversed HG-induced cell apoptosis and impairments in cell viability and insulin secretion. In addition, miR-143-3p overexpression attenuated HG-induced proinflammatory cytokine production by MIN6 cells. Subsequently, TGFβ-activated kinase 1 (TAK1), an upstream regulator of the NF-κB pathway, was found to be a direct target of miR-143-3p in pancreatic β cells through luciferase assays and western blot. Overexpression of TAK1 was revealed to abolish the curative effects of miR-143-3p on insulin secretion, cell viability and inflammatory response in HG-treated MIN6 cells. In addition, miR-143-3p could inactivate the NF-κB pathway by inhibiting TAK1 expression. Collectively, these results suggest that miR-143-3p levels are downregulated in the peripheral blood of patients with GDM. Therefore, miR-143-3p overexpression may serve as a method for preventing pancreatic β cell dysfunction by inhibiting the TAK1/NF-κB pathway.
Collapse
Affiliation(s)
- Cairu Liu
- Department of Gynecology, Handan Central Hospital, Handan, Hebei 056000, P.R. China
| | - Haiqin Feng
- Department of Gynecology, Handan Central Hospital, Handan, Hebei 056000, P.R. China
| | - Lina Zhang
- Department of Gynecology, Handan Central Hospital, Handan, Hebei 056000, P.R. China
| | - Yiran Guo
- Department of Teaching, Handan Central Hospital, Handan, Hebei 056000, P.R. China
| | - Jinjin Ma
- Department of Gynecology, Handan Central Hospital, Handan, Hebei 056000, P.R. China
| | - Liping Yang
- Department of Gynecology, Handan Central Hospital, Handan, Hebei 056000, P.R. China
| |
Collapse
|
14
|
Ju Y, Shen T, Guo Z, Kong Y, Huang Y, Hu J. Identification of methylation-driven genes, circulating miRNAs and their potential regulatory mechanisms in gestational diabetes mellitus. Am J Transl Res 2023; 15:336-349. [PMID: 36777869 PMCID: PMC9908470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/06/2022] [Indexed: 02/14/2023]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is a major pregnancy complication. The purpose of this study is to investigate the molecular regulatory mechanisms of GDM. METHODS RNA-seq and methylation data of GDM were retrieved from the Gene Expression Omnibus database. Following principal component analysis (PCA), differentially expressed mRNAs and microRNAs (miRNAs) in the blood were highlighted between GDM and the control. Then, an abnormally expressed miRNA-mRNA network was constructed, based on which a protein-protein interaction (PPI) network was established to identify hub genes. Differentially expressed and methylated genes were identified for GDM, followed by functional enrichment analysis. RESULTS According to PCA results, no outlier samples were found. A total of 35 differentially expressed circulating miRNAs were identified for GDM. The miRNA-mRNA regulatory network consisted of 94 miRNA-mRNA pairs. The PPI network contained 10 hub genes, including HIF1A, TLR2, FOS, IL6R, MYLIP, ABCA1, SELL, BCL3, AP1G1 and NECAP1. Furthermore, 22 down-regulated and hypermethylated genes and 8 up-regulated and hypomethylated genes were identified for GDM, which are related to helper T cell (Th) differentiation. CONCLUSION We identified methylation-driven genes and circulating miRNAs for GDM, which have the potential to serve as novel diagnostic biomarkers.
Collapse
Affiliation(s)
- Yuejun Ju
- Department of Endocrinology, The Second Affiliated Hospital of Soochow UniversitySuzhou 215000, Jiangsu, P. R. China,Department of Endocrinology, Changshu No. 2 People’s HospitalChangshu 215500, Jiangsu, P. R. China
| | - Ting Shen
- Department of Endocrinology, Changshu No. 2 People’s HospitalChangshu 215500, Jiangsu, P. R. China
| | - Zhanhong Guo
- Department of Endocrinology, Changshu No. 2 People’s HospitalChangshu 215500, Jiangsu, P. R. China
| | - Yinghong Kong
- Department of Endocrinology, Changshu No. 2 People’s HospitalChangshu 215500, Jiangsu, P. R. China
| | - Yun Huang
- Department of Endocrinology, The Second Affiliated Hospital of Soochow UniversitySuzhou 215000, Jiangsu, P. R. China
| | - Ji Hu
- Department of Endocrinology, The Second Affiliated Hospital of Soochow UniversitySuzhou 215000, Jiangsu, P. R. China
| |
Collapse
|
15
|
Karami M, Mousavi SH, Rafiee M, Heidari R, Shahrokhi SZ. Biochemical and molecular biomarkers: unraveling their role in gestational diabetes mellitus. Diabetol Metab Syndr 2023; 15:5. [PMID: 36631877 PMCID: PMC9832639 DOI: 10.1186/s13098-023-00980-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/05/2023] [Indexed: 01/12/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is the most prevalent metabolic disorder during pregnancy, causing short- and long-term complications for both mother and baby. GDM is a multifactorial disease, and it may be affected by interactions between genetic, epigenetic, and environmental factors. However, the exact etiology is poorly understood. Despite the high prevalence of GDM, there is still debate regarding the optimal time for screening, the diagnostic threshold to apply, and the best strategies for treatment. Identifying effective strategies for therapeutic purposes as well as accurate biomarkers for prognostic and diagnostic purposes will reduce the GDM incidence and improve its management. In recent years, new biochemical and molecular biomarkers such as microRNAs, single-nucleotide polymorphisms, and DNA methylation have received great interest in the diagnosis of GDM. In this review, we discuss current and future diagnostic approaches for the detection of GDM and evaluate lifestyle and pharmacological strategies for GDM prevention.
Collapse
Affiliation(s)
- Masoumeh Karami
- Department of Biochemistry, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Seyyed Hossein Mousavi
- Department of Cardiology, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Mohammad Rafiee
- Department of Medical Laboratory Sciences, School of Paramedical Sciences, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Reza Heidari
- Medical Biotechnology Research Center, AJA University of Medical Sciences, Tehran, Iran
- Research Center for Cancer Screening and Epidemiology, AJA University of Medical Sciences, Tehran, Iran
| | - Seyedeh Zahra Shahrokhi
- Department of Biochemistry, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
16
|
Manfredi JM, Jacob SI, Boger BL, Norton EM. A one-health approach to identifying and mitigating the impact of endocrine disorders on human and equine athletes. Am J Vet Res 2022; 84:ajvr.22.11.0194. [PMID: 36563063 DOI: 10.2460/ajvr.22.11.0194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Endocrinopathies affect multiple species in ever-increasing percentages of their populations, creating an opportunity to apply one-health approaches to determining creative preventative measures and therapies in athletes. Obesity and alterations in insulin and glucose dynamics are medical concerns that play a role in whole-body health and homeostasis in both horses and humans. The role and impact of endocrine disorders on the musculoskeletal, cardiovascular, and reproductive systems are of particular interest to the athlete. Elucidation of both physiologic and pathophysiologic mechanisms involved in disease processes, starting in utero, is important for development of prevention and treatment strategies for the health and well-being of all species. This review focuses on the unrecognized effects of endocrine disorders associated with the origins of metabolic disease; inflammation at the intersection of endocrine disease and related diseases in the musculoskeletal, cardiovascular, and reproductive systems; novel interventions; and diagnostics that are informed via multiomic and one-health approaches. Readers interested in further details on specific equine performance conditions associated with endocrine disease are invited to read the companion Currents in One Health by Manfredi et al, JAVMA, February 2023.
Collapse
Affiliation(s)
- Jane M Manfredi
- Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI
| | - Sarah I Jacob
- Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI
| | - Brooke L Boger
- Comparative Medicine and Integrative Biology, Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI
| | - Elaine M Norton
- Department of Animal and Comparative Biomedical Sciences, College of Agriculture and Life Sciences, The University of Arizona, Tucson, AZ
| |
Collapse
|
17
|
Differential Effect of Vaginal Microbiota on Spontaneous Preterm Birth among Chinese Pregnant Women. BIOMED RESEARCH INTERNATIONAL 2022; 2022:3536108. [PMID: 36506912 PMCID: PMC9731763 DOI: 10.1155/2022/3536108] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 10/25/2022] [Accepted: 11/03/2022] [Indexed: 12/02/2022]
Abstract
Objective The effect of vaginal microbiota on spontaneous preterm birth (sPTB) has not been fully addressed, and few studies have explored the associations between vaginal taxa and sPTB in the gestational diabetes mellitus (GDM) and non-GDM groups, respectively. Study Design. To minimize external interference, a total of 41 pregnant women with sPTB and 308 controls (pregnant women without sPTB) from same regain were enrolled in this case-cohort study. Controls were randomly selected at baseline. With the exception of GDM, other characteristics were not significantly different between the two groups. Vaginal swabs were collected at early second trimester. Using 16S amplicon sequencing, the main bioinformatics analysis was performed on the platform of QIIME 2. Vaginal microbiota traits of the sPTB group were compared with controls. Finally, the effects of binary taxa on sPTB in the GDM group and the non-GDM group were analyzed, respectively. Results The proportion of GDM in the sPTB (19.51%) was higher than the controls (7.47%, P = 0.018). The vaginal microbiota of pregnant women with sPTB exhibited higher alpha diversity metrics (observed features, P = 0.001; Faith's phylogenetic diversity, P = 0.013) and different beta diversity metrics (unweighted UniFrac, P = 0.006; Jaccard's distance, P = 0.004), compared with controls. The presence of Lactobacillus paragasseri/gasseri (aOR: 3.12, 95% CI: 1.24-7.84), Streptococcus (aOR: 3.58, 95% CI: 1.68-7.65), or Proteobacteria (aOR: 3.39, 95% CI: 1.55-7.39) was associated with an increased risk of sPTB in the non-GDM group (P < 0.05). However, the relative abundance of novel L. mulieris (a new species of the L. delbrueckii group) was associated with a decreased risk of sPTB (false discovery rate, 0.10) in all pregnant women. Conclusion GDM may modify the association of vaginal taxa with sPTB, suggesting that maternal GDM should be considered when using vaginal taxa to identify pregnant women at high risk of sPTB.
Collapse
|
18
|
Hufnagel A, Grant ID, Aiken CEM. Glucose and oxygen in the early intrauterine environment and their role in developmental abnormalities. Semin Cell Dev Biol 2022; 131:25-34. [PMID: 35410716 DOI: 10.1016/j.semcdb.2022.03.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 03/02/2022] [Accepted: 03/31/2022] [Indexed: 12/14/2022]
Abstract
The early life environment can have profound impacts on the developing conceptus in terms of both growth and morphogenesis. These impacts can manifest in a variety of ways, including congenital fetal anomalies, placental dysfunction with subsequent effects on fetal growth, and adverse perinatal outcomes, or via effects on long-term health outcomes that may not be detected until later childhood or adulthood. Two key examples of environmental influences on early development are explored: maternal hyperglycaemia and gestational hypoxia. These are increasingly common pregnancy exposures worldwide, with potentially profound impacts on population health. We explore what is known regarding the mechanisms by which these environmental exposures can impact early intrauterine development and thus result in adverse outcomes in the immediate, short, and long term.
Collapse
Affiliation(s)
- Antonia Hufnagel
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Imogen D Grant
- Department of Obstetrics and Gynaecology, University of Cambridge, Box 223, The Rosie Hospital and NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge CB2 0SW, UK
| | - Catherine E M Aiken
- Department of Obstetrics and Gynaecology, University of Cambridge, Box 223, The Rosie Hospital and NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge CB2 0SW, UK; University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK.
| |
Collapse
|
19
|
Ballesteros M, Gil-Lluís P, Ejarque M, Diaz-Perdigones C, Martinez-Guasch L, Fernández-Veledo S, Vendrell J, Megía A. DNA Methylation in Gestational Diabetes and its Predictive Value for Postpartum Glucose Disturbances. J Clin Endocrinol Metab 2022; 107:2748-2757. [PMID: 35914803 PMCID: PMC9516049 DOI: 10.1210/clinem/dgac462] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Indexed: 11/21/2022]
Abstract
CONTEXT DNA methylation in the diagnosis of gestational diabetes. OBJECTIVE To assess the value of DNA methylation in the diagnosis of gestational diabetes (GDM) and in the prediction of maternal postpartum glucose disturbances. METHODS Two-stage observational study performed between July 2006 and December 2010, at University Hospital. Forty-eight randomly selected pregnant women formed the discovery cohort (24 with GDM and 24 controls) and 252 pregnant women (94 with GDM and 158 controls) formed the replication cohort. GDM women were re-evaluated 4 years postpartum. The main outcome measures were GDM, type 2 diabetes or prediabetes at 4 years postpartum. RESULTS We identified 3 CpG sites related to LINC00917, TRAPPC9, and LEF1 that were differentially methylated in women with GDM and abnormal glucose tolerance; and sites associated with LINC00917 and TRAPPC9 were independently associated with an abnormal glucose tolerance status 4 years postpartum after controlling for clinical variables. Moreover, the site associated with LINC00917 and the combination of the 3 sites had the highest predictive values. CONCLUSION Our results suggest that some of these sites may be implicated in the development of GDM and postpartum abnormal glucose tolerance.
Collapse
Affiliation(s)
- Mónica Ballesteros
- Mónica Ballesteros, Rovira i Virgili University, 43005, Tarragona, Spain.
| | - Pilar Gil-Lluís
- Department of Endocrinology and Nutrition, University Hospital of Tortosa Verge de la Cinta, Tarragona, Spain
| | - Miriam Ejarque
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)-Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition. Research Unit. University Hospital of Tarragona Joan XXIII-Institut d´Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Cristina Diaz-Perdigones
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)-Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition. Research Unit. University Hospital of Tarragona Joan XXIII-Institut d´Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Laia Martinez-Guasch
- Department of Medicine and Surgery, Rovira i Virgili University, Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)-Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition. Research Unit. University Hospital of Tarragona Joan XXIII-Institut d´Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Sonia Fernández-Veledo
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)-Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition. Research Unit. University Hospital of Tarragona Joan XXIII-Institut d´Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Joan Vendrell
- Correspondence: Joan Vendrell, PhD, MD, Hospital Universitari de Tarragona Joan XXIII, Dr. Mallafre Guasch, 4, 43005 Tarragona, Spain.
| | - Ana Megía
- Ana Megia, PhD, MD, Hospital Universitari de Tarragona Joan XXIII, Dr. Mallafre Guasch, 4, 43005 Tarragona, Spain.
| |
Collapse
|
20
|
Abstract
Gestational diabetes mellitus (GDM) traditionally refers to abnormal glucose tolerance with onset or first recognition during pregnancy. GDM has long been associated with obstetric and neonatal complications primarily relating to higher infant birthweight and is increasingly recognized as a risk factor for future maternal and offspring cardiometabolic disease. The prevalence of GDM continues to rise internationally due to epidemiological factors including the increase in background rates of obesity in women of reproductive age and rising maternal age and the implementation of the revised International Association of the Diabetes and Pregnancy Study Groups' criteria and diagnostic procedures for GDM. The current lack of international consensus for the diagnosis of GDM reflects its complex historical evolution and pragmatic antenatal resource considerations given GDM is now 1 of the most common complications of pregnancy. Regardless, the contemporary clinical approach to GDM should be informed not only by its short-term complications but also by its longer term prognosis. Recent data demonstrate the effect of early in utero exposure to maternal hyperglycemia, with evidence for fetal overgrowth present prior to the traditional diagnosis of GDM from 24 weeks' gestation, as well as the durable adverse impact of maternal hyperglycemia on child and adolescent metabolism. The major contribution of GDM to the global epidemic of intergenerational cardiometabolic disease highlights the importance of identifying GDM as an early risk factor for type 2 diabetes and cardiovascular disease, broadening the prevailing clinical approach to address longer term maternal and offspring complications following a diagnosis of GDM.
Collapse
Affiliation(s)
- Arianne Sweeting
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Jencia Wong
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Helen R Murphy
- Diabetes in Pregnancy Team, Cambridge University Hospitals, Cambridge, UK
- Norwich Medical School, Bob Champion Research and Education Building, University of East Anglia, Norwich, UK
- Division of Women’s Health, Kings College London, London, UK
| | - Glynis P Ross
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| |
Collapse
|
21
|
Ormazabal V, Nair S, Carrión F, Mcintyre HD, Salomon C. The link between gestational diabetes and cardiovascular diseases: potential role of extracellular vesicles. Cardiovasc Diabetol 2022; 21:174. [PMID: 36057662 PMCID: PMC9441052 DOI: 10.1186/s12933-022-01597-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 08/05/2022] [Indexed: 11/25/2022] Open
Abstract
Extracellular vesicles are critical mediators of cell communication. They encapsulate a variety of molecular cargo such as proteins, lipids, and nucleic acids including miRNAs, lncRNAs, circular RNAs, and mRNAs, and through transfer of these molecular signals can alter the metabolic phenotype in recipient cells. Emerging studies show the important role of extracellular vesicle signaling in the development and progression of cardiovascular diseases and associated risk factors such as type 2 diabetes and obesity. Gestational diabetes mellitus (GDM) is hyperglycemia that develops during pregnancy and increases the future risk of developing obesity, impaired glucose metabolism, and cardiovascular disease in both the mother and infant. Available evidence shows that changes in maternal metabolism and exposure to the hyperglycemic intrauterine environment can reprogram the fetal genome, leaving metabolic imprints that define life-long health and disease susceptibility. Understanding the factors that contribute to the increased susceptibility to metabolic disorders of children born to GDM mothers is critical for implementation of preventive strategies in GDM. In this review, we discuss the current literature on the fetal programming of cardiovascular diseases in GDM and the impact of extracellular vesicle (EV) signaling in epigenetic programming in cardiovascular disease, to determine the potential link between EV signaling in GDM and the development of cardiovascular disease in infants.
Collapse
Affiliation(s)
- Valeska Ormazabal
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine + Biomedical Sciences, The University of Queensland, Building 71/918, Herston, QLD, 4029, Australia.,Faculty of Biological Sciences, Pharmacology Department, University of Concepcion, Concepción, Chile
| | - Soumyalekshmi Nair
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine + Biomedical Sciences, The University of Queensland, Building 71/918, Herston, QLD, 4029, Australia
| | - Flavio Carrión
- Departamento de Investigación, Postgrado y Educación Continua (DIPEC), Facultad de Ciencias de la Salud, Universidad del Alba, Santiago, Chile
| | - H David Mcintyre
- Mater Research, Faculty of Medicine, University of Queensland, Mater Health, South Brisbane, Australia
| | - Carlos Salomon
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine + Biomedical Sciences, The University of Queensland, Building 71/918, Herston, QLD, 4029, Australia. .,Departamento de Investigación, Postgrado y Educación Continua (DIPEC), Facultad de Ciencias de la Salud, Universidad del Alba, Santiago, Chile.
| |
Collapse
|
22
|
Koeck RM, Busato F, Tost J, Consten D, van Echten-Arends J, Mastenbroek S, Wurth Y, Remy S, Langie S, Nawrot TS, Plusquin M, Alfano R, Bijnens EM, Gielen M, van Golde R, Dumoulin JCM, Brunner H, van Montfoort APA, Zamani Esteki M. Methylome-wide analysis of IVF neonates that underwent embryo culture in different media revealed no significant differences. NPJ Genom Med 2022; 7:39. [PMID: 35768464 PMCID: PMC9243125 DOI: 10.1038/s41525-022-00310-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 06/13/2022] [Indexed: 02/06/2023] Open
Abstract
A growing number of children born are conceived through in vitro fertilisation (IVF), which has been linked to an increased risk of adverse perinatal outcomes, as well as altered growth profiles and cardiometabolic differences in the resultant individuals. Some of these outcomes have also been shown to be influenced by the use of different IVF culture media and this effect is hypothesised to be mediated epigenetically, e.g. through the methylome. As such, we profiled the umbilical cord blood methylome of IVF neonates that underwent preimplantation embryo development in two different IVF culture media (G5 or HTF), using the Infinium Human Methylation EPIC BeadChip. We found no significant methylation differences between the two groups in terms of: (i) systematic differences at CpG sites or regions, (ii) imprinted sites/genes or birth weight-associated sites, (iii) stochastic differences presenting as DNA methylation outliers or differentially variable sites, and (iv) epigenetic gestational age acceleration.
Collapse
Affiliation(s)
- Rebekka M Koeck
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Florence Busato
- Laboratory for Epigenetics & Environment, Centre National de Recherche en Genomique Humaine, CEA - institut de Biologie François Jacob, Université Paris Saclay, 91000, Evry, France
| | - Jorg Tost
- Laboratory for Epigenetics & Environment, Centre National de Recherche en Genomique Humaine, CEA - institut de Biologie François Jacob, Université Paris Saclay, 91000, Evry, France
| | - Dimitri Consten
- Center for Reproductive Medicine, St. Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022, GC, Tilburg, the Netherlands
| | - Jannie van Echten-Arends
- Section of Reproductive Medicine, Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands
| | - Sebastiaan Mastenbroek
- Center for Reproductive Medicine, Amsterdam Reproduction & Development Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, the Netherlands
| | - Yvonne Wurth
- Center for Reproductive Medicine, St. Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022, GC, Tilburg, the Netherlands
| | - Sylvie Remy
- Health Unit, Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium
| | - Sabine Langie
- Health Unit, Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium.,Department of Pharmacology & Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, The Netherlands
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Public Health and Primary Care, Leuven University (KU Leuven), Leuven, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Esmée M Bijnens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Human Structure and Repair, Ghent University Hospital, Ghent, Belgium
| | - Marij Gielen
- Department of Epidemiology and Nutrition and Toxicology Research Institute Maastricht (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Ron van Golde
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - John C M Dumoulin
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Han Brunner
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Aafke P A van Montfoort
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands. .,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
| |
Collapse
|
23
|
Coetzee A, Hall DR, Conradie M. Hyperglycemia First Detected in Pregnancy in South Africa: Facts, Gaps, and Opportunities. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:895743. [PMID: 36992779 PMCID: PMC10012101 DOI: 10.3389/fcdhc.2022.895743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/01/2022] [Indexed: 06/19/2023]
Abstract
This review contextualizes hyperglycemia in pregnancy from a South-African perspective. It aims to create awareness of the importance of hyperglycemia in pregnancy in low-middle-income countries. We address unanswered questions to guide future research on sub-Saharan African women with hyperglycemia first detected in pregnancy (HFDP). South African women of childbearing age have the highest prevalence of obesity in sub-Saharan Africa. They are predisposed to Type 2 diabetes (T2DM), the leading cause of death in South African women. T2DM remains undiagnosed in many African countries, with two-thirds of people living with diabetes unaware. With the South African health policy's increased focus on improving antenatal care, women often gain access to screening for non-communicable diseases for the first time in pregnancy. While screening practices and diagnostic criteria for gestational diabetes mellitus (GDM) differ amongst geographical areas in South Africa (SA), hyperglycemia of varying degrees is often first detected in pregnancy. This is often erroneously ascribed to GDM, irrespective of the degree of hyperglycemia and not overt diabetes. T2DM and GDM convey a graded increased risk for the mother and fetus during and after pregnancy, with cardiometabolic risk accumulating across the lifespan. Resource limitations and high patient burden have hampered the opportunity to implement accessible preventative care in young women at increased risk of developing T2DM in the broader public health system in SA. All women with HFDP, including those with true GDM, should be followed and undergo glucose assessment postpartum. In SA, studies conducted early postpartum have noted persistent hyperglycemia in a third of women after GDM. Interpregnancy care is advantageous and may attain a favourable metabolic legacy in these young women, but the yield of return following delivery is suboptimal. We review the current best evidence regarding HFDP and contextualize the applicability in SA and other African or low-middle-income countries. The review identifies gaps and shares pragmatic solutions regarding clinical factors that may improve awareness, identification, diagnosis, and management of women with HFDP.
Collapse
Affiliation(s)
- Ankia Coetzee
- Department of Medicine, Division of Endocrinology Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - David R. Hall
- Department of Obstetrics and Gynecology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Magda Conradie
- Department of Medicine, Division of Endocrinology Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| |
Collapse
|
24
|
Genomics and Epigenomics of Gestational Diabetes Mellitus: Understanding the Molecular Pathways of the Disease Pathogenesis. Int J Mol Sci 2022; 23:ijms23073514. [PMID: 35408874 PMCID: PMC8998752 DOI: 10.3390/ijms23073514] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 11/16/2022] Open
Abstract
One of the most common complications during pregnancy is gestational diabetes mellitus (GDM), hyperglycemia that occurs for the first time during pregnancy. The condition is multifactorial, caused by an interaction between genetic, epigenetic, and environmental factors. However, the underlying mechanisms responsible for its pathogenesis remain elusive. Moreover, in contrast to several common metabolic disorders, molecular research in GDM is lagging. It is important to recognize that GDM is still commonly diagnosed during the second trimester of pregnancy using the oral glucose tolerance test (OGGT), at a time when both a fetal and maternal pathophysiology is already present, demonstrating the increased blood glucose levels associated with exacerbated insulin resistance. Therefore, early detection of metabolic changes and associated epigenetic and genetic factors that can lead to an improved prediction of adverse pregnancy outcomes and future cardio-metabolic pathologies in GDM women and their children is imperative. Several genomic and epigenetic approaches have been used to identify the genes, genetic variants, metabolic pathways, and epigenetic modifications involved in GDM to determine its etiology. In this article, we explore these factors as well as how their functional effects may contribute to immediate and future pathologies in women with GDM and their offspring from birth to adulthood. We also discuss how these approaches contribute to the changes in different molecular pathways that contribute to the GDM pathogenesis, with a special focus on the development of insulin resistance.
Collapse
|
25
|
Dessì A, Tognazzi C, Bosco A, Pintus R, Fanos V. Metabolomic profiles and microbiota of GDM offspring: The key for future perspective? Front Pediatr 2022; 10:941800. [PMID: 36275053 PMCID: PMC9579340 DOI: 10.3389/fped.2022.941800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Gestational diabetes mellitus (GDM), or any degree of glucose intolerance recognized for the first time during pregnancy, is one of the diseases that most frequently aggravates the course of gestation. Missed or late diagnosis and inadequate treatment are associated with high maternal and fetal morbidity, with possible short- and long-term repercussions. Estimates on the prevalence of GDM are alarming and increasing by about 30% in the last 10-20 years. In addition, there is the negative influence of the SARS-CoV-2 emergency on the glycemic control of pregnant women, making the matter increasingly topical. To date, knowledge on the metabolic maturation of newborns is still incomplete. However, in light of the considerable progress of the theory of "developmental origins of health and disease," the relevant role of the intrauterine environment cannot be overlooked. In fact, due to the high plasticity of the early stages of development, some detrimental metabolic alterations during fetal growth, including maternal hyperglycemia, are associated with a higher incidence of chronic diseases in adult life. In this context, metabolomic analysis which allows to obtain a detailed phenotypic portrait through the dynamic detection of all metabolites in cells, tissues and different biological fluids could be very useful for the early diagnosis and prevention of complications. Indeed, if the diagnostic timing is optimized through the identification of specific metabolites, the detailed understanding of the altered metabolic pathway could also allow better management and more careful monitoring, also from a nutritional profile, of the more fragile children. In this context, a further contribution derives from the analysis of the intestinal microbiota, the main responsible for the fecal metabolome, given its alteration in pregnancies complicated by GDM and the possibility of transmission to offspring. The purpose of this review is to analyze the available data regarding the alterations in the metabolomic profile and microbiota of the offspring of mothers with GDM in order to highlight future prospects for reducing GDM-related complications in children of mothers affected by this disorder.
Collapse
Affiliation(s)
- Angelica Dessì
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| | - Chiara Tognazzi
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| | - Alice Bosco
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| | - Roberta Pintus
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| |
Collapse
|
26
|
Jiang Y, Zhu H, Chen Z, Yu YC, Guo XH, Chen Y, Yang MM, Chen BW, Sagnelli M, Xu D, Zhao BH, Luo Q. Hepatic IGF2/H19 Epigenetic Alteration Induced Glucose Intolerance in Gestational Diabetes Mellitus Offspring via FoxO1 Mediation. Front Endocrinol (Lausanne) 2022; 13:844707. [PMID: 35432202 PMCID: PMC9011096 DOI: 10.3389/fendo.2022.844707] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 02/24/2022] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE The offspring of women with gestational diabetes mellitus (GDM) have a high predisposition to developing type 2 diabetes during childhood and adulthood. The aim of the study was to evaluate how GDM exposure in the second half of pregnancy contributes to hepatic glucose intolerance through a mouse model. METHODS By creating a GDM mouse model, we tested glucose and insulin tolerance of offspring by intraperitoneal glucose tolerance test (IPGTT), insulin tolerance test (ITT), and pyruvate tolerance test (PTT). In addition, we checked the expression of genes IGF2/H19, FoxO1, and DNMTs in the mouse liver by RT-qPCR. Pyrosequencing was used to detect the methylation status on IGF2/H19 differentially methylated regions (DMRs). In vitro insulin stimulation experiments were performed to evaluate the effect of different insulin concentrations on HepG2 cells. Moreover, we detect the interaction between FoxO1 and DNMT3A by chromatin immunoprecipitation-quantitative PCR (Chip-qPCR) and knock-down experiments on HepG2 cells. RESULTS We found that the first generation of GDM offspring (GDM-F1) exhibited impaired glucose tolerance (IGT) and insulin resistance, with males being disproportionately affected. In addition, the expression of imprinted genes IGF2 and H19 was downregulated in the livers of male mice via hypermethylation of IGF2-DMR0 and IGF2-DMR1. Furthermore, increased expression of transcriptional factor FoxO1 was confirmed to regulate DNMT3A expression, which contributed to abnormal methylation of IGF2/H19 DMRs. Notably, different insulin treatments on HepG2 demonstrated those genetic alterations, suggesting that they might be induced by intrauterine hyperinsulinemia. CONCLUSION Our results demonstrated that the intrauterine hyperinsulinemia environment has increased hepatic FoxO1 levels and subsequently increased expression of DNMT3A and epigenetic alterations on IGF2/H19 DMRs. These findings provide potential molecular mechanisms responsible for glucose intolerance and insulin resistance in the first male generation of GDM mice.
Collapse
Affiliation(s)
- Ying Jiang
- Department of Obstetrics, Women’s Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Hong Zhu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Zi Chen
- Department of Obstetrics, Women’s Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Yi-Chen Yu
- Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiao-Han Guo
- Department of Obstetrics, Women’s Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Yuan Chen
- Department of Obstetrics, Women’s Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Meng-Meng Yang
- Department of Obstetrics, Women’s Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Bang-Wu Chen
- Department of Obstetrics, Ninghai Maternal and Child Health Hospital, Ningbo, China
| | - Matthew Sagnelli
- University of Connecticut School of Medicine, Farmington, CT, United States
| | - Dong Xu
- Department of Obstetrics, Women’s Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Bai-Hui Zhao
- Department of Obstetrics, Women’s Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Qiong Luo
- Department of Obstetrics, Women’s Hospital, Zhejiang University, School of Medicine, Hangzhou, China
- *Correspondence: Qiong Luo,
| |
Collapse
|
27
|
Early Identification of the Maternal, Placental and Fetal Dialog in Gestational Diabetes and Its Prevention. REPRODUCTIVE MEDICINE 2021. [DOI: 10.3390/reprodmed3010001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Gestational diabetes mellitus (GDM) complicates between 5 and 12% of pregnancies, with associated maternal, fetal, and neonatal complications. The ideal screening and diagnostic criteria to diagnose and treat GDM have not been established and, currently, diagnostic use with an oral glucose tolerance test occurs late in pregnancy and produces poor reproducibility. Therefore, in recent years, significant research has been undertaken to identify a first-trimester biomarker that can predict GDM later in pregnancy, enable early intervention, and reduce GDM-related adverse pregnancy outcomes. Possible biomarkers include glycemic markers (fasting glucose and hemoglobin A1c), adipocyte-derived markers (adiponectin and leptin), pregnancy-related markers (pregnancy-associated plasma protein-A and the placental growth factor), inflammatory markers (C-reactive protein and tumor necrosis factor-α), insulin resistance markers (sex hormone-binding globulin), and others. This review summarizes current data on first-trimester biomarkers, the advantages, and the limitations. Large multi-ethnic clinical trials and cost-effectiveness analyses are needed not only to build effective prediction models but also to validate their clinical use.
Collapse
|
28
|
Sobczyńska-Malefora A, Yajnik CS, Harrington DJ, Hitman GA, Finer S. Vitamin B12 and Folate Markers Are Associated with Insulin Resistance During the Third Trimester of Pregnancy in South Asian Women, Living in the United Kingdom, with Gestational Diabetes and Normal Glucose Tolerance. J Nutr 2021; 152:163-170. [PMID: 34601603 PMCID: PMC8754569 DOI: 10.1093/jn/nxab352] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/21/2021] [Accepted: 09/24/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) can adversely affect the health of the developing fetus. Women of South Asian origin are particularly at risk of developing GDM. Insulin resistance (IR) contributes to the etiology of GDM, and although studies have shown associations of vitamin B12 (B12) and folate status with GDM and IR, only a limited number of B12 and folate markers have been used. OBJECTIVE We used a comprehensive panel of B12 and folate markers to examine their association with IR in pregnant women with diet-controlled GDM and normal glucose tolerance (NGT). METHODS In this cross-sectional study, 59 British-Bangladeshi women (24 GDM and 35 NGT) with a mean age of 29 y, BMI (in kg/m2) 26.7 and gestational age 33 wk were recruited. Serum total B12, holotranscobalamin, folate, methylmalonic acid, plasma homocysteine, 5-methyltetrahydrofolate, and red cell folate (RCF) were measured along with other parameters. The independent sample t-test and chi-squared test were used to assess differences in markers between GDM and NGT women. Spearman's test was used to look for correlations. A simple multiple regression analysis was used to investigate if markers of B12 and folate status predicted IR, using the HOMA-IR and adjusting for age, GDM status, and BMI. RESULTS There were no differences in concentrations of B12 and folate markers between GDM and NGT women. In Spearman's analysis HOMA-IR correlated negatively with total serum B12 (P < 0.001) and holotranscobalamin (P < 0.05), and positively with BMI (P < 0.001), blood pressure (P < 0.05) and triglycerides (P < 0.05) in all women. MMA did not correlate with any of the B12 markers. In regression analysis, total B12 (β = -0.622, P = 0.004), RCF (β = 0.387, P = 0.018), and BMI (β = 0.024, P < 0.001) were the significant predictors of HOMA-IR variance. CONCLUSIONS Significant associations between markers of B12 and folate status with HOMA-IR were found during the third trimester in British-Bangladeshi women. B12 markers correlated poorly with each other.
Collapse
Affiliation(s)
| | | | - Dominic J Harrington
- Nutristasis Unit, Viapath, St. Thomas’ Hospital, London, United Kingdom,Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom
| | - Graham A Hitman
- Blizard Institute, Queen Mary University of London, London, United Kingdom
| | - Sarah Finer
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom,Barts Health NHS Trust, London, United Kingdom
| |
Collapse
|
29
|
Nabi T, Rafiq N, Trigotra S, Mishra S. Clinical Characteristics, Outcomes, and Progression to Type 2 Diabetes in Women with Hyperglycemia in Pregnancy. Indian J Endocrinol Metab 2021; 25:538-544. [PMID: 35355915 PMCID: PMC8959204 DOI: 10.4103/ijem.ijem_440_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/22/2021] [Accepted: 12/10/2021] [Indexed: 11/26/2022] Open
Abstract
CONTEXT Women with hyperglycemia in pregnancy (HIP) are at increased risk of developing type 2 diabetes (T2D). AIM The present study intended to study the incidence of postpartum diabetes among HIP women and predict its risk factors. SETTINGS AND DESIGN This was a prospective observational study done on 178 women with HIP diagnosed after the first trimester, attending the tertiary care hospitals between December 2018 and March 2020. MATERIALS AND METHODS Demographics, clinical variables, and feto-maternal outcomes were recorded. The postpartum glycemic status was determined using a 75 g oral glucose tolerance test (OGTT) at 1 and 6 months. STATISTICAL ANALYSIS All analyses were performed with SPSS software (version 21.0). RESULTS The mean age of women with HIP was 30.2 ± 6.1 years, with 38% having a family history of diabetes. Eighty percent of the women delivered full-term babies and 71.3% underwent a cesarean section. Gestational hypertension was present in 21.9% of patients. Macrosomia was present in 4.6% of the babies, hypoglycemia in 6.7%, and spontaneous abortion occurred in 7.7%. Postpartum OGTT at 6 months was completed by 76.4% of participants. The incidence of diabetes and glucose intolerance postpartum was 11.7 and 16.2%, respectively at 6 months. Logistic regression analysis showed that maternal obesity, diagnosis of HIP at an earlier trimester (<24 weeks), need for insulin treatment during pregnancy, signs of insulin resistance and fasting and 2-h plasma glucose >100 (>5.6 mmol/L) and >195 mg/dL (>10.9 mmol/L), respectively, and glycated hemoglobin > 6.5% (>48 mmol/mol) increased the risk of having postpartum diabetes significantly. CONCLUSION The incidence of postpartum glucose intolerance in women with HIP is high. Prospective diabetes evaluation is required and intervention should be considered in women with HIP who have obesity, diagnosis of HIP at an earlier trimester, signs of insulin resistance, and require insulin treatment during pregnancy.
Collapse
Affiliation(s)
- Tauseef Nabi
- Department of Endocrinology, All is Well Multi Speciality Hospital, Burhanpur, Madhya Pradesh, India
| | - Nadeema Rafiq
- Department of Physiology, Govt. Medical College Baramulla, Jammu and Kashmir, India
| | - Suchet Trigotra
- Department of Physiology, Dr. B. R. Ambedkar State Institute of Medical Sciences, Mohali, Punjab, India
| | - Smriti Mishra
- Department of Gynaecology and Obstetrics, All is Well Multi Speciality Hospital, Burhanpur, Madhya Pradesh, India
| |
Collapse
|
30
|
Juvinao-Quintero DL, Cardenas A, Perron P, Bouchard L, Lutz SM, Hivert MF. Associations between an integrated component of maternal glycemic regulation in pregnancy and cord blood DNA methylation. Epigenomics 2021; 13:1459-1472. [PMID: 34596421 DOI: 10.2217/epi-2021-0220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background: Previous studies suggest that fetal programming to hyperglycemia in pregnancy is due to modulation of DNA methylation (DNAm), but they have been limited in their maternal glycemic characterization. Methods: In the Gen3G study, we used a principal component analysis to integrate multiple glucose and insulin values measured during the second trimester oral glucose tolerance test. We investigated associations between principal components and cord blood DNAm levels in an epigenome-wide analysis among 430 mother-child pairs. Results: The first principal component was robustly associated with lower DNAm at cg26974062 (TXNIP; p = 9.9 × 10-9) in cord blood. TXNIP is a well-known DNAm marker for type 2 diabetes in adults. Conclusion: We hypothesize that abnormal glucose metabolism in pregnancy may program dysregulation of TXNIP across the life course.
Collapse
Affiliation(s)
- Diana L Juvinao-Quintero
- Division of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health & Center for Computational Biology, University of California, Berkeley, CA 94720-7360, USA
| | - Patrice Perron
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada
| | - Luigi Bouchard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada.,Department of Medical Biology, Centre Intégré Universitaire en Santé et Services Sociaux Saguenay-Lac-Saint-Jean, Hôpital Universitaire de Chicoutimi, Saguenay, QC, G7H 5H6, Canada.,Department of Biochemistry & Functional Genomics, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
| | - Sharon M Lutz
- Division of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA.,Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA 02215, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada.,Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| |
Collapse
|
31
|
Loo EXL, Zhang Y, Yap QV, Yu G, Soh SE, Loy SL, Lau HX, Chan SY, Shek LPC, Luo ZC, Yap FKP, Tan KH, Chong YS, Zhang J, Eriksson JG. Comparative epidemiology of gestational diabetes in ethnic Chinese from Shanghai birth cohort and growing up in Singapore towards healthy outcomes cohort. BMC Pregnancy Childbirth 2021; 21:566. [PMID: 34407778 PMCID: PMC8375167 DOI: 10.1186/s12884-021-04036-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 08/02/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) has been associated with adverse health outcomes for mothers and offspring. Prevalence of GDM differs by country/region due to ethnicity, lifestyle and diagnostic criteria. We compared GDM rates and risk factors in two Asian cohorts using the 1999 WHO and the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. METHODS The Shanghai Birth Cohort (SBC) and the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort are prospective birth cohorts. Information on sociodemographic characteristics and medical history were collected from interviewer-administered questionnaires. Participants underwent a 2-h 75-g oral glucose tolerance test at 24-28 weeks gestation. Logistic regressions were performed. RESULTS Using the 1999 WHO criteria, the prevalence of GDM was higher in GUSTO (20.8%) compared to SBC (16.6%) (p = 0.046). Family history of hypertension and alcohol consumption were associated with higher odds of GDM in SBC than in GUSTO cohort while obesity was associated with higher odds of GDM in GUSTO. Using the IADPSG criteria, the prevalence of GDM was 14.3% in SBC versus 12.0% in GUSTO. A history of GDM was associated with higher odds of GDM in GUSTO than in SBC, while being overweight, alcohol consumption and family history of diabetes were associated with higher odds of GDM in SBC. CONCLUSIONS We observed several differential risk factors of GDM among ethnic Chinese women living in Shanghai and Singapore. These findings might be due to heterogeneity of GDM reflected in diagnostic criteria as well as in unmeasured genetic, lifestyle and environmental factors.
Collapse
Affiliation(s)
- Evelyn Xiu Ling Loo
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore. .,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Yuqing Zhang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,School of Public Health, Shanghai Jiao Tong University, Shanghai, China
| | - Qai Ven Yap
- Department of Biostatistics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Guoqi Yu
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu E Soh
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - See Ling Loy
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.,Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Hui Xing Lau
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.,Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Lynette Pei-Chi Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Zhong-Cheng Luo
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Obstetrics and Gynecology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, M5G 1X5, Canada
| | - Fabian Kok Peng Yap
- Duke-NUS Medical School, Singapore, Singapore.,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.,Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Jun Zhang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,School of Public Health, Guilin Medical College, Guilin, Guangxi, China
| | - Johan Gunnar Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.,Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.,Folkhälsan Research Center, Helsinki, Finland.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| |
Collapse
|
32
|
Lewandowska M. Gestational Diabetes Mellitus (GDM) Risk for Declared Family History of Diabetes, in Combination with BMI Categories. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18136936. [PMID: 34203509 PMCID: PMC8293805 DOI: 10.3390/ijerph18136936] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 06/15/2021] [Accepted: 06/24/2021] [Indexed: 12/20/2022]
Abstract
Whether categories of family history of diabetes can act as independent risk factors for gestational diabetes mellitus (GDM-1, -2) has not yet been established, and neither has it been established how categories of body mass index (BMI) affect these relationships. A group of 912 women without chronic diseases, recruited in the first trimester, was investigated: 125 (13.7%) women developed GDM-1 (treated with diet); 21 (2.3%) women developed GDM-2 (treated with insulin); and a control group consisted of 766 non-diabetic women. A multiple logistic regression was used to evaluate adjusted odds ratios (AOR (95% confidence intervals)) of GDM-1 and GDM-2 for declared diabetes in the parents or grandparents (separately). These relationships were investigated in the whole cohort and subgroups of pre-pregnancy BMI. (1) Some categories of the family history were independent risk factors of GDM-1 or GDM-2. Compared to ‘absence of diabetes in the family’, women with diabetes in the father had a 3.68-fold increase in GDM-1 risk (AOR-b = 3.68 (2.23–6.07)), and women with diabetes in the mother had a 2.13-fold increase in GDM-1 risk (AOR-b = 2.13 (1.1–4.14)) and a 4.73-fold increase in GDM-2 risk (AOR-b = 4.73 (1.26–17.77)). Women with diabetes in the grandmother had a 2.34-fold increase in GDM-1 risk (AOR-b = 2.34 (1.29–4.24)). (2) The cumulative assessment of diabetes in the parents and/or grandparents was not related to the intensification of the risk of GDM, except for the increased risk of GDM-1 for diabetes in both mother and grandmothers simultaneously (AOR-b = 8.80 (1.16–66.57)), however, this group was very small. (3) The analyses in the subgroups of BMI categories showed that diabetes in the father was also an independent risk factor of GDM in the subgroup of pregnant women with normal BMI. In the subgroups of overweight and/or obesity, the risk of GDM for paternal and maternal diabetes was approximately twice as high as compared to the results of pregnant women with normal BMIs. Additionally, apart from the maternal influence of diabetes, the results suggest a significant influence of diabetes in the father on the risk of GDM, even (interestingly) in lean pregnant women.
Collapse
Affiliation(s)
- Małgorzata Lewandowska
- Medical Faculty, Lazarski University, 02-662 Warsaw, Poland;
- Division of Gynecological Surgery, University Hospital, 60-535 Poznan, Poland
| |
Collapse
|
33
|
Feferkorn I, Badeghiesh A, Mills G, Baghlaf H, Dahan M. The effects of smoking on pregnancy risks in women with polycystic ovary syndrome: a population-based study. Hum Reprod 2021; 36:2549-2557. [PMID: 34164665 DOI: 10.1093/humrep/deab145] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 05/12/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION Is there is an association between smoking and pregnancy complications in pregnant women with polycystic ovarian syndrome (PCOS)? SUMMARY ANSWER There is an increased risk of developing gestational diabetes mellitus (GDM) among women with PCOS who smoke. WHAT IS KNOWN ALREADY Smokers are at increased risk of developing Type 2 Diabetes Mellitus (DM). Given the common pathophysiology and shared risk factors between type 2 DM and GDM, we sought to assess whether an association between smoking and the development of GDM exists. STUDY DESIGN, SIZE, DURATION This is a retrospective population-based study utilizing data from the HCUP-NIS over 11 years from 2004 to 2014. Pregnant women with PCOS who did smoke were compared to pregnant women with PCOS who did not smoke. A second comparison was made between pregnant smokers with and without PCOS. Of the 443 590 women who smoked during pregnancy and the 14 882 women with PCOS, 631 women were both smokers and diagnosed with PCOS. PARTICIPANTS/MATERIALS, SETTING, METHODS The Healthcare Cost and Utilization Project-Nationwide Inpatient Sample (HCUP-NIS) is the largest inpatient sample database in the USA and is composed of hospital inpatient stays submitted by hospitals throughout the entire country. Each year, the database provides information relating to 7 million inpatient stays, including patient characteristics, diagnosis and procedures. The data are representative of ∼20% of admissions to US hospitals across 48 states and the District of Columbia. MAIN RESULTS AND THE ROLE OF CHANCE There were no differences in the risks of preterm delivery (aOR1.2; CI 0.8-1.9), placental abruption (aOR1.1; CI 0.4-3.2), pregnancy induced hypertension (aOR1.0; CI 0.7-1.5), rate of operative vaginal delivery (aOR1.5; CI 0.9-2.5) and rates of cesarean section (C/S) (aOR1.0; CI 0.7-1.3) between smoking and non-smoking women with PCOS. A significant association between smoking and GDM was observed in women with PCOS (aOR1.5; CI1.01-2.1). LIMITATIONS, REASONS FOR CAUTION The limitations of our study are its retrospective nature and the fact that it relies on an administrative database. Data regarding smoking and PCOS diagnosis could be skewed due to patients' underreporting, lack of documentation and documentation differences. WIDER IMPLICATIONS OF THE FINDINGS The public health implications of confirming smoking as a risk for GDM among women with PCOS are many. This can lead to earlier screening in pregnancy of smokers for GDM. Earlier initiation of interventions could decrease fetal complications and possibly have an impact on the life and long-term health of the offspring. Future studies are needed in order to assess whether smoking cessation during pregnancy decreases the risk of GDM in that gestation. STUDY FUNDING/COMPETING INTEREST(S) No external funding was used. The authors report no competing interests. TRIAL REGISTRATION NUMBER N/A.
Collapse
Affiliation(s)
- I Feferkorn
- Division of Reproductive Endocrinology and Infertility, McGill University Health Care Center, Montreal, QC, Canada
| | - A Badeghiesh
- Division of Reproductive Endocrinology and Infertility, McGill University Health Care Center, Montreal, QC, Canada
| | - G Mills
- Division of Reproductive Endocrinology and Infertility, McGill University Health Care Center, Montreal, QC, Canada
| | - H Baghlaf
- Maternal-Fetal Medicine Division, Obstetrics and Gynecology, University of Toronto, Toronto, ON, Canada
| | - M Dahan
- Division of Reproductive Endocrinology and Infertility, McGill University Health Care Center, Montreal, QC, Canada
| |
Collapse
|
34
|
Identification of Diagnostic CpG Signatures in Patients with Gestational Diabetes Mellitus via Epigenome-Wide Association Study Integrated with Machine Learning. BIOMED RESEARCH INTERNATIONAL 2021; 2021:1984690. [PMID: 34104645 PMCID: PMC8162250 DOI: 10.1155/2021/1984690] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 04/01/2021] [Accepted: 05/06/2021] [Indexed: 12/13/2022]
Abstract
Background Gestational diabetes mellitus (GDM) is the most prevalent metabolic disease during pregnancy, but the diagnosis is controversial and lagging partly due to the lack of useful biomarkers. CpG methylation is involved in the development of GDM. However, the specific CpG methylation sites serving as diagnostic biomarkers of GDM remain unclear. Here, we aimed to explore CpG signatures and establish the predicting model for the GDM diagnosis. Methods DNA methylation data of GSE88929 and GSE102177 were obtained from the GEO database, followed by the epigenome-wide association study (EWAS). GO and KEGG pathway analyses were performed by using the clusterProfiler package of R. The PPI network was constructed in the STRING database and Cytoscape software. The SVM model was established, in which the β-values of selected CpG sites were the predictor variable and the occurrence of GDM was the outcome variable. Results We identified 62 significant CpG methylation sites in the GDM samples compared with the control samples. GO and KEGG analyses based on the 62 CpG sites demonstrated that several essential cellular processes and signaling pathways were enriched in the system. A total of 12 hub genes related to the identified CpG sites were found in the PPI network. The SVM model based on the selected CpGs within the promoter region, including cg00922748, cg05216211, cg05376185, cg06617468, cg17097119, and cg22385669, was established, and the AUC values of the training set and testing set in the model were 0.8138 and 0.7576. The AUC value of the independent validation set of GSE102177 was 0.6667. Conclusion We identified potential diagnostic CpG signatures by EWAS integrated with the SVM model. The SVM model based on the identified 6 CpG sites reliably predicted the GDM occurrence, contributing to the diagnosis of GDM. Our finding provides new insights into the cross-application of EWAS and machine learning in GDM investigation.
Collapse
|
35
|
Fu S, Fu S, Ma X, Yang X, Ling J. miR‑875‑5p regulates IR and inflammation via targeting TXNRD1 in gestational diabetes rats. Mol Med Rep 2021; 23:303. [PMID: 33649852 PMCID: PMC7974266 DOI: 10.3892/mmr.2021.11942] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 01/07/2021] [Indexed: 11/05/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is a serious life‑threatening disease that affects the mother and fetus. However, the pathogenesis of GDM is still unclear. microRNAs (miRs) play vital roles in the regulation of various cell functions. The present study aimed to investigate the effects of miR‑875‑5p and thioredoxin reductase 1 cytoplasmic (TXNRD1) in GDM rats and analyze the associated underlying mechanism. A GDM rat model was induced using an intraperitoneal injection of streptozotocin. miR‑875‑5p knockdown plasmids or TXNRD1 knockdown plasmids were injected into the rats via the caudal vein. miR‑875‑5p and TXNRD1 expression in the serum were detected using reverse transcription‑quantitative PCR (RT‑qPCR) or western blot (WB) analyses. The fasting blood‑glucose (FBG), fasting serum insulin, triglyceride and high density lipoprotein levels were detected by specific commercial kits. The inflammatory response and the induction of oxidative stress were analyzed by assessing the expression of associated markers via WB, RT‑qPCR or commercial kits. The pancreatic and placental injuries were detected by hematoxylin and eosin staining. The results indicated that miR‑875‑5p expression levels were downregulated, whereas TXNRD1 levels were upregulated in GDM rats compared with normal pregnancy rats. miR‑875‑5p significantly regulated TXNRD1 expression in GDM rats. miR‑875‑5p silencing notably reduced FBG and insulin resistance, which was accompanied by reduced expression levels of blood lipid and pro‑inflammatory markers as well as reduced oxidative stress. However, the effects of miR‑875‑5p could be reversed by TXNRD1 silencing. Therefore, the present study indicated that miR‑875‑5p regulated IR and inflammation by targeting TXNRD1 in GDM rats. miR‑875‑5p and TXNRD1 may be considered as potential targets for treating GDM.
Collapse
Affiliation(s)
- Songbo Fu
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China
| | - Songquan Fu
- Department of Respiration, The First Hospital of Lanzhou City, Lanzhou, Gansu 730050, P.R. China
| | - Xiaoni Ma
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China
| | - Xiaomei Yang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China
| | - Jizu Ling
- Department of Pediatrics, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China
| |
Collapse
|
36
|
Uji T, Wada K, Yamakawa M, Koda S, Nakashima Y, Onuma S, Nagata C. Birth month and mortality in Japan: a population-based prospective cohort study. Chronobiol Int 2021; 38:1023-1031. [PMID: 33792442 DOI: 10.1080/07420528.2021.1903482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Epidemiologic studies investigating the association between birth season and risk of mortality in adulthood are limited and have yielded inconclusive results. We aimed to examine the relationship between birth month and all-cause and cause-specific mortality, after controlling for potential confounders, including lifestyle and medical factors, in a population-based cohort study in Japan. We included 28,884 subjects (13,262 men and 15,622 women) from Takayama City, aged 35 years or older without cancer, stroke, and ischemic heart disease, who were born in Japan at baseline. Participants who were enrolled in 1992 were followed up for over 16 years. Information including place of birth, lifestyles, and medical history was obtained from a baseline questionnaire. We performed a Cox proportional hazards analysis to determine the association between birth month and all-cause and cause-specific mortality after adjusting for potential confounders. During the follow-up period (mean follow-up: 14.1 years), 5,303 deaths (2,881 men and 2,422 women) were identified. After controlling for multiple covariates, it was found that being born in April or June was associated with an increased risk of all-cause mortality compared to being born in January (hazard ratio [HR] 1.138; 95% confidence interval [CI], 1.006-1.288 and HR 1.169; 95% CI, 1.028-1.329, respectively). The HRs for cardiovascular mortality were significantly higher in participants born in March and May (HR 1.285; 95% CI, 1.056-1.565 and HR 1.293; 95% CI, 1.040-1.608, respectively). Our findings indicate that an individual's birth month may be an indicator of the susceptibility to mortality in later life.
Collapse
Affiliation(s)
- Takahiro Uji
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Michiyo Yamakawa
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Sachi Koda
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yuma Nakashima
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Sakiko Onuma
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| |
Collapse
|
37
|
Early pregnancy metabolites predict gestational diabetes mellitus: implications for fetal programming. Am J Obstet Gynecol 2021; 224:215.e1-215.e7. [PMID: 32739399 DOI: 10.1016/j.ajog.2020.07.050] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/20/2020] [Accepted: 07/29/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Aberrant fetal programming in gestational diabetes mellitus seems to increase the risk of obesity, type 2 diabetes, and cardiovascular disease. The inability to accurately identify gestational diabetes mellitus in the first trimester of pregnancy has thwarted ascertaining whether early therapeutic interventions reduce the predisposition to these prevalent medical disorders. OBJECTIVE A metabolomics study was conducted to determine whether advanced analytical methods could identify accurate predictors of gestational diabetes mellitus in early pregnancy. STUDY DESIGN This nested observational case-control study was composed of 92 gravidas (46 in the gestational diabetes mellitus group and 46 in the control group) in early pregnancy, who were matched by maternal age, body mass index, and gestational age at urine collection. Gestational diabetes mellitus was diagnosed according to community standards. A comprehensive metabolomics platform measured 626 endogenous metabolites in randomly collected urine. Consensus multivariate criteria or the most important by 1 method identified low-molecular weight metabolites independently associated with gestational diabetes mellitus, and a classification tree selected a subset most predictive of gestational diabetes mellitus. RESULTS Urine for both groups was collected at a mean gestational age of 12 weeks (range, 6-19 weeks' gestation). Consensus multivariate analysis identified 11 metabolites independently linked to gestational diabetes mellitus. Classification tree analysis selected a 7-metabolite subset that predicted gestational diabetes mellitus with an accuracy of 96.7%, independent of maternal age, body mass index, and time of urine collection. CONCLUSION Validation of this high-accuracy model by a larger study is now needed to support future studies to determine whether therapeutic interventions in the first trimester of pregnancy for gestational diabetes mellitus reduce short- and long-term morbidity.
Collapse
|
38
|
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.
Collapse
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,
| |
Collapse
|
39
|
A Primer on DNA Methylation and Its Potential to Impact Maternal Depression Risk and Assessment During Pregnancy and the Postpartum. J Perinat Neonatal Nurs 2021; 35:4-7. [PMID: 33528179 DOI: 10.1097/jpn.0000000000000528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Depression onset during and after pregnancy is prevalent and associated with significant implications for maternal, child, and family health. Although environmental risk factors important to the expression of pregnancy-related depression are well known, knowledge of the genetic underpinning is limited. Given the joint contribution of environmental and genetic factors to depression risk liability, DNA methylation presents itself as an ideal biomarker to investigate basic mechanisms and opportunities for translational research to care for pregnancy-related depression health outcomes. This article is an introduction to DNA methylation and its potential to serve as a marker of depression risk during pregnancy and the postpartum. This commentary discusses current clinical uses of DNA methylation-based testing and how it may be applied to perinatal depression clinical care and management.
Collapse
|
40
|
Shiau S, Wang L, Liu H, Zheng Y, Drong A, Joyce BT, Wang J, Li W, Leng J, Shen Y, Gao R, Hu G, Hou L, Baccarelli AA. Prenatal gestational diabetes mellitus exposure and accelerated offspring DNA methylation age in early childhood. Epigenetics 2021; 16:186-195. [PMID: 32614694 PMCID: PMC7889277 DOI: 10.1080/15592294.2020.1790924] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 05/09/2020] [Accepted: 06/18/2020] [Indexed: 12/16/2022] Open
Abstract
Background: We investigated the association between prenatal GDM exposure and offspring DNA methylation (DNAm) age at 3-10 years of age in the Tianjin GDM Observational Study. Methods: This study included 578 GDM and 578 non-GDM mother-child pairs. Children underwent an exam with anthropometric measurements and blood draw for DNAm analysis (Illumina 850 K array) at a median age of 5.9 years (range 3.1-10.2). DNAm age was calculated using two epigenetic clock algorithms (Horvath and Hannum). The residual resulting from regressing DNAm age on chronological age was used as a metric for age acceleration. Results: Chronological age was positively correlated with Horvath DNAm age (r = 0.53, p < 0.0001) and Hannum DNAm age (r = 0.38, p < 0.0001). Offspring age acceleration was higher in the GDM group than non-GDM group after adjustment for potential confounders (Horvath: 4.96 months higher, adjusted for sex, pre-pregnancy BMI, cell-type proportions, and technical bias, p = 0.0002; Hannum: 11.2 months higher, adjusted for cell-type proportions and technical bias, p < 0.0001). Increased offspring DNAm age acceleration was associated with increased offspring weight-for-age Z-score, BMI-for-age-Z-score, waist circumference, body fat percentage, subscapular skinfold, suprailiac skinfold, upper-arm circumference, and blood pressure; findings were stronger in the GDM group. Conclusions: We found that offspring of women with GDM exhibit accelerated epigenetic age compared to control participants, independent of other maternal factors. Epigenetic age in offspring was associated with cardiometabolic risk factors, suggesting that GDM and GDM-associated factors may have long-term effects on offspring epigenetic age and contribute to health outcomes.
Collapse
Affiliation(s)
- Stephanie Shiau
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | - Leishen Wang
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Huikun Liu
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Yinan Zheng
- Center for Global Oncology, Institute for Global Health, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Alex Drong
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Brian T. Joyce
- Center for Global Oncology, Institute for Global Health, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jun Wang
- Center for Global Oncology, Institute for Global Health, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Weiqin Li
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Junhong Leng
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Yun Shen
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Ru Gao
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Lifang Hou
- Center for Global Oncology, Institute for Global Health, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| |
Collapse
|
41
|
Zhu W, Shen Y, Liu J, Fei X, Zhang Z, Li M, Chen X, Xu J, Zhu Q, Zhou W, Zhang M, Liu S, Du J. Epigenetic alternations of microRNAs and DNA methylation contribute to gestational diabetes mellitus. J Cell Mol Med 2020; 24:13899-13912. [PMID: 33085184 PMCID: PMC7753873 DOI: 10.1111/jcmm.15984] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 09/29/2020] [Indexed: 01/01/2023] Open
Abstract
This study aimed to identify epigenetic alternations of microRNAs and DNA methylation for gestational diabetes mellitus (GDM) diagnosis and treatment using in silico approach. Data of mRNA and miRNA expression microarray (GSE103552 and GSE104297) and DNA methylation data set (GSE106099) were obtained from the GEO database. Differentially expressed genes (DEGs), differentially expressed miRNAs (DEMs) and differentially methylated genes (DMGs) were obtained by limma package. Functional and enrichment analyses were performed with the DAVID database. The protein‐protein interaction (PPI) network was constructed by STRING and visualized in Cytoscape. Simultaneously, a connectivity map (CMap) analysis was performed to screen potential therapeutic agents for GDM. In GDM, 184 low miRNA‐targeting up‐regulated genes and 234 high miRNA‐targeting down‐regulated genes as well as 364 hypomethylation–high‐expressed genes and 541 hypermethylation–low‐expressed genes were obtained. They were mainly enriched in terms of axon guidance, purine metabolism, focal adhesion and proteasome, respectively. In addition, 115 genes (67 up‐regulated and 48 down‐regulated) were regulated by both aberrant alternations of miRNAs and DNA methylation. Ten chemicals were identified as putative therapeutic agents for GDM and four hub genes (IGF1R, ATG7, DICER1 and RANBP2) were found in PPI and may be associated with GDM. Overall, this study identified a series of differentially expressed genes that are associated with epigenetic alternations of miRNA and DNA methylation in GDM. Ten chemicals and four hub genes may be further explored as potential drugs and targets for GDM diagnosis and treatment, respectively.
Collapse
Affiliation(s)
- Weiqiang Zhu
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Shandong University, Jinan, China.,NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| | - Yupei Shen
- NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| | - Junwei Liu
- NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| | - Xiaoping Fei
- The First people's Hospital of Kunshan, Kunshan, China
| | - Zhaofeng Zhang
- NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| | - Min Li
- NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| | - Xiaohong Chen
- Department of Obstetrics and Gynecology, Shanghai Pudong New Area Health Care Hospital For Women & Children, Shanghai, China
| | - Jianhua Xu
- NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| | - Qianxi Zhu
- NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| | - Weijin Zhou
- NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| | - Meihua Zhang
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Shandong University, Jinan, China
| | | | - Jing Du
- NHC Key Lab. of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research), Pharmacy School, Fudan University, Shanghai, China
| |
Collapse
|
42
|
Shin E, Lee S, Kang H, Kim J, Kim K, Youn H, Jin YW, Seo S, Youn B. Organ-Specific Effects of Low Dose Radiation Exposure: A Comprehensive Review. Front Genet 2020; 11:566244. [PMID: 33133150 PMCID: PMC7565684 DOI: 10.3389/fgene.2020.566244] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 09/07/2020] [Indexed: 12/16/2022] Open
Abstract
Ionizing radiation (IR) is a high-energy radiation whose biological effects depend on the irradiation doses. Low-dose radiation (LDR) is delivered during medical diagnoses or by an exposure to radioactive elements and has been linked to the occurrence of chronic diseases, such as leukemia and cardiovascular diseases. Though epidemiological research is indispensable for predicting and dealing with LDR-induced abnormalities in individuals exposed to LDR, little is known about epidemiological markers of LDR exposure. Moreover, difference in the LDR-induced molecular events in each organ has been an obstacle to a thorough investigation of the LDR effects and a validation of the experimental results in in vivo models. In this review, we summarized the recent reports on LDR-induced risk of organ-specifically arranged the alterations for a comprehensive understanding of the biological effects of LDR. We suggested that LDR basically caused the accumulation of DNA damages, controlled systemic immune systems, induced oxidative damages on peripheral organs, and even benefited the viability in some organs. Furthermore, we concluded that understanding of organ-specific responses and the biological markers involved in the responses is needed to investigate the precise biological effects of LDR.
Collapse
Affiliation(s)
- Eunguk Shin
- Department of Integrated Biological Science, Pusan National University, Busan, South Korea
| | - Sungmin Lee
- Department of Integrated Biological Science, Pusan National University, Busan, South Korea
| | - Hyunkoo Kang
- Department of Integrated Biological Science, Pusan National University, Busan, South Korea
| | - Jeongha Kim
- Department of Integrated Biological Science, Pusan National University, Busan, South Korea
| | - Kyeongmin Kim
- Department of Integrated Biological Science, Pusan National University, Busan, South Korea
| | - HyeSook Youn
- Department of Integrative Bioscience and Biotechnology, Sejong University, Seoul, South Korea
| | - Young Woo Jin
- Laboratory of Low Dose Risk Assessment, National Radiation Emergency Medical Center, Korea Institute of Radiological & Medical Sciences, Seoul, South Korea
| | - Songwon Seo
- Laboratory of Low Dose Risk Assessment, National Radiation Emergency Medical Center, Korea Institute of Radiological & Medical Sciences, Seoul, South Korea
| | - BuHyun Youn
- Department of Integrated Biological Science, Pusan National University, Busan, South Korea.,Department of Biological Sciences, Pusan National University, Busan, South Korea
| |
Collapse
|
43
|
Słupecka-Ziemilska M, Wychowański P, Puzianowska-Kuznicka M. Gestational Diabetes Mellitus Affects Offspring's Epigenome. Is There a Way to Reduce the Negative Consequences? Nutrients 2020; 12:nu12092792. [PMID: 32933073 PMCID: PMC7551316 DOI: 10.3390/nu12092792] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/05/2020] [Accepted: 09/10/2020] [Indexed: 12/31/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is the most common pregnancy complication worldwide and may result in short-term and long-term consequences for offspring. The present review highlights evidence of epigenetic programming, mostly from human studies, which occurs in offspring exposed to maternal GDM during different stages of development, paying special attention to the differences in sensitivity of offspring to maternal hyperglycemia as a result of sex-related factors. We also aim to answer the following question: If these epigenetic changes are constant throughout the lifetime of the offspring, how do they present phenotypically?
Collapse
Affiliation(s)
- Monika Słupecka-Ziemilska
- Department of Human Epigenetics, Mossakowski Medical Research Centre, Polish Academy of Sciences, 5 Pawinskiego Street, 02-106 Warsaw, Poland;
- Correspondence: ; Tel.: +48-2-2608-6401; Fax: +48-2-2608-6410
| | - Piotr Wychowański
- Department of Oral Surgery, Medical University of Warsaw, Binickiego 6, 02-097 Warsaw, Poland;
| | - Monika Puzianowska-Kuznicka
- Department of Human Epigenetics, Mossakowski Medical Research Centre, Polish Academy of Sciences, 5 Pawinskiego Street, 02-106 Warsaw, Poland;
- Department of Geriatrics and Gerontology, Medical Centre of Postgraduate Education, 61/63 Kleczewska Street, 01-826 Warsaw, Poland
| |
Collapse
|
44
|
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.
Collapse
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.
| |
Collapse
|
45
|
Puttabyatappa M, Sargis RM, Padmanabhan V. Developmental programming of insulin resistance: are androgens the culprits? J Endocrinol 2020; 245:R23-R48. [PMID: 32240982 PMCID: PMC7219571 DOI: 10.1530/joe-20-0044] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 04/02/2020] [Indexed: 02/06/2023]
Abstract
Insulin resistance is a common feature of many metabolic disorders. The dramatic rise in the incidence of insulin resistance over the past decade has enhanced focus on its developmental origins. Since various developmental insults ranging from maternal disease, stress, over/undernutrition, and exposure to environmental chemicals can all program the development of insulin resistance, common mechanisms may be involved. This review discusses the possibility that increases in maternal androgens associated with these various insults are key mediators in programming insulin resistance. Additionally, the intermediaries through which androgens misprogram tissue insulin sensitivity, such as changes in inflammatory, oxidative, and lipotoxic states, epigenetic, gut microbiome and insulin, as well as data gaps to be filled are also discussed.
Collapse
Affiliation(s)
| | - Robert M. Sargis
- Department of Medicine, University of Illinois at Chicago, Chicago, IL
| | | |
Collapse
|
46
|
Liao X, Zhou Z, Zhang X. Effects of miR‑195‑5p on cell proliferation and apoptosis in gestational diabetes mellitus via targeting EZH2. Mol Med Rep 2020; 22:803-809. [PMID: 32626980 PMCID: PMC7339727 DOI: 10.3892/mmr.2020.11142] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 02/06/2020] [Indexed: 12/11/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is a type of diabetes mellitus (DM) that occurs during pregnancy. The present study aimed to investigate the roles of microRNA (miR)‑195‑5p and enhancer of zeste homolog 2 (EZH2) in GDM, and their potential association. Human umbilical vein endothelial cells (HUVECs) were collected from healthy and GDM umbilical cords, and the endothelial properties were detected by flow cytometry. mRNA expression levels of miR‑195‑5p and EZH2, and EZH2 protein expression levels were detected by reverse transcription‑quantitative PCR (RT‑qPCR) and western blot analysis, respectively. Cell colony formation and flow cytometry were performed to determine cell proliferation and apoptosis. Furthermore, the target gene of miR‑195‑5p was predicted and assessed using a dual‑luciferase reporter assay. The levels of cell viability, proliferation and apoptosis following the overexpression of miR‑195‑5p, EZH2 or miR‑195‑5p + EZH2, were detected using Cell Counting Kit‑8, colony formation and flow cytometry assays, respectively. In addition, the mRNA expression levels of miR‑195‑59 and EZH2, and EZH2 protein expression levels following transfection with overexpression plasmids were detected using RT‑qPCR and western blot analysis, respectively. It was identified that high mRNA expression of miR‑195‑5p, and low EZH2 mRNA and protein expression levels decreased the level of cell proliferation and the high apoptotic rate of GDM‑HUVECs. In addition, miR‑195‑5p was predicted and identified to target EZH2, and miR‑195‑5p overexpression was identified to inhibit cell proliferation and promote apoptosis. However, it was demonstrated that upregulation of EZH2 could alleviate the inhibition of cell proliferation and the increased apoptotic rate induced by miR‑195‑5p overexpression. Therefore, the present results suggested that miR‑195‑5p may inhibit cell viability, proliferation and promote apoptosis by targeting EZH2 in GDM‑induced HUVECs.
Collapse
Affiliation(s)
- Xiaojie Liao
- Department of Obstetrics, Jingmen No. 1 People's Hospital, Jingmen, Hubei 448000, P.R. China
| | - Zhuolin Zhou
- Family Planning Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530000, P.R. China
| | - Xiaoliu Zhang
- Department of Obstetrics, Jingmen No. 1 People's Hospital, Jingmen, Hubei 448000, P.R. China
| |
Collapse
|
47
|
Abstract
Epigenetic mechanisms involve the placing (writing) or removal (erasing) of histone modifications that allow heterochromatin to transition to the open, activated euchromatin state necessary for transcription. A third, less studied epigenetic pathway involves the reading of these specific histone marks once placed. The BETs (bromodomain and extraterminal-containing protein family), which includes BRD2, BRD3, and BRD4 and the testis-restricted BRDT, are epigenetic reader proteins that bind to specific acetylated lysine residues on histone tails where they facilitate the assembly of transcription complexes including transcription factors and transcriptional machinery like RNA Polymerase II. As reviewed here, considerable recent data establishes BETs as novel determinants of induced transcriptional programs in vascular cells, like endothelial cells and vascular smooth muscle cells, cardiac myocytes and inflammatory cells, like monocyte/macrophages, cellular settings where these epigenetic reader proteins couple proximal stimuli to chromatin, acting at super-enhancer regulatory regions to direct gene expression. BET inhibition, including the use of specific chemical BET inhibitors like JQ-1, has many reported effects in vivo in the cardiovascular setting, like decreasing atherosclerosis, angiogenesis, intimal hyperplasia, pulmonary arterial hypertension, and cardiac hypertrophy. At the same time, data in endothelial cells, adipocytes, and elsewhere suggest BETs also help regulate gene expression under basal conditions. Studies in the cardiovascular setting have highlighted BET action as a means of controlling gene expression in differentiation, cell identity, and cell state transitions, whether physiological or pathological, adaptive, or maladaptive. While distinct BET inhibitors are being pursued as therapies in oncology, a large prospective clinical cardiovascular outcome study investigating the BET inhibitor RVX-208 (now called apabetalone) has already been completed. Independent of this specific agent and this one trial or the numerous unanswered questions that remain, BETs have emerged as novel epigenetic players involved in the execution of coordinated transcriptional programs in cardiovascular health and disease.
Collapse
Affiliation(s)
- Patricia Cristine Borck
- From the Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (P.C.B., J.P.)
| | - Lian-Wang Guo
- Davis Heart and Lung Institute, Wexner Medical Center, Ohio State University, Columbus (L.-W.G.)
| | - Jorge Plutzky
- From the Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (P.C.B., J.P.)
| |
Collapse
|