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Kawahata T, Tanaka K, Oyama K, Ueda J, Okamoto K, Makino Y. HIF3A gene disruption causes abnormal alveoli structure and early neonatal death. PLoS One 2024; 19:e0300751. [PMID: 38717999 PMCID: PMC11078382 DOI: 10.1371/journal.pone.0300751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/04/2024] [Indexed: 05/12/2024] Open
Abstract
Transcriptional response to changes in oxygen concentration is mainly controlled by hypoxia-inducible transcription factors (HIFs). Besides regulation of hypoxia-responsible gene expression, HIF-3α has recently been shown to be involved in lung development and in the metabolic process of fat tissue. However, the precise mechanism for such properties of HIF-3α is still largely unknown. To this end, we generated HIF3A gene-disrupted mice by means of genome editing technology to explore the pleiotropic role of HIF-3α in development and physiology. We obtained adult mice carrying homozygous HIF3A gene mutations with comparable body weight and height to wild-type mice. However, the number of litters and ratio of homozygous mutation carriers born from the mating between homozygous mutant mice was lower than expected due to sporadic deaths on postnatal day 1. HIF3A gene-disrupted mice exhibited abnormal configuration of the lung such as a reduced number of alveoli and thickened alveolar walls. Transcriptome analysis showed, as well as genes associated with lung development, an upregulation of stearoyl-Coenzyme A desaturase 1, a pivotal enzyme for fatty acid metabolism. Analysis of fatty acid composition in the lung employing gas chromatography indicated an elevation in palmitoleic acid and a reduction in oleic acid, suggesting an imbalance in distribution of fatty acid, a constituent of lung surfactant. Accordingly, administration of glucocorticoid injections during pregnancy resulted in a restoration of normal alveolar counts and a decrease in neonatal mortality. In conclusion, these observations provide novel insights into a pivotal role of HIF-3α in the preservation of critically important structure and function of alveoli beyond the regulation of hypoxia-mediated gene expression.
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Affiliation(s)
- Tomoki Kawahata
- Division of Endocrinology, Metabolism, and Rheumatology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Kitaru Tanaka
- Division of Endocrinology, Metabolism, and Rheumatology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Kyohei Oyama
- Department of Cardiac Surgery, Asahikawa Medical University, Asahikawa, Japan
| | - Jun Ueda
- Department of Advanced Medical Science, Asahikawa Medical University, Asahikawa, Japan
| | - Kensaku Okamoto
- Division of Endocrinology, Metabolism, and Rheumatology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Yuichi Makino
- Center for Integrated Medical Education and Regional Symbiosis, Asahikawa Medical University, Asahikawa, Japan
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Meza-León A, Montoya-Estrada A, Reyes-Muñoz E, Romo-Yáñez J. Diabetes Mellitus and Pregnancy: An Insight into the Effects on the Epigenome. Biomedicines 2024; 12:351. [PMID: 38397953 PMCID: PMC10886464 DOI: 10.3390/biomedicines12020351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/17/2023] [Accepted: 01/08/2024] [Indexed: 02/25/2024] Open
Abstract
Worldwide, diabetes mellitus represents a growing health problem. If it occurs during pregnancy, it can increase the risk of various abnormalities in early and advanced life stages of exposed individuals due to fetal programming occurring in utero. Studies have determined that maternal conditions interfere with the genotypes and phenotypes of offspring. Researchers are now uncovering the mechanisms by which epigenetic alterations caused by diabetes affect the expression of genes and, therefore, the development of various diseases. Among the numerous possible epigenetic changes in this regard, the most studied to date are DNA methylation and hydroxymethylation, as well as histone acetylation and methylation. This review article addresses critical findings in epigenetic studies involving diabetes mellitus, including variations reported in the expression of specific genes and their transgenerational effects.
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Affiliation(s)
| | | | | | - José Romo-Yáñez
- Coordinación de Endocrinología Ginecológica y Perinatal, Instituto Nacional de Perinatología, Montes Urales 800, Lomas Virreyes, Mexico City 11000, Mexico
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Lizárraga D, Gómez-Gil B, García-Gasca T, Ávalos-Soriano A, Casarini L, Salazar-Oroz A, García-Gasca A. Gestational diabetes mellitus: genetic factors, epigenetic alterations, and microbial composition. Acta Diabetol 2024; 61:1-17. [PMID: 37660305 DOI: 10.1007/s00592-023-02176-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/18/2023] [Indexed: 09/05/2023]
Abstract
Gestational diabetes mellitus (GDM) is a common metabolic disorder, usually diagnosed during the third trimester of pregnancy that usually disappears after delivery. In GDM, the excess of glucose, fatty acids, and amino acids results in foetuses large for gestational age. Hyperglycaemia and insulin resistance accelerate the metabolism, raising the oxygen demand, and creating chronic hypoxia and inflammation. Women who experienced GDM and their offspring are at risk of developing type-2 diabetes, obesity, and other metabolic or cardiovascular conditions later in life. Genetic factors may predispose the development of GDM; however, they do not account for all GDM cases; lifestyle and diet also play important roles in GDM development by modulating epigenetic signatures and the body's microbial composition; therefore, this is a condition with a complex, multifactorial aetiology. In this context, we revised published reports describing GDM-associated single-nucleotide polymorphisms (SNPs), DNA methylation and microRNA expression in different tissues (such as placenta, umbilical cord, adipose tissue, and peripheral blood), and microbial composition in the gut, oral cavity, and vagina from pregnant women with GDM, as well as the bacterial composition of the offspring. Altogether, these reports indicate that a number of SNPs are associated to GDM phenotypes and may predispose the development of the disease. However, extrinsic factors (lifestyle, nutrition) modulate, through epigenetic mechanisms, the risk of developing the disease, and some association exists between the microbial composition with GDM in an organ-specific manner. Genes, epigenetic signatures, and microbiota could be transferred to the offspring, increasing the possibility of developing chronic degenerative conditions through postnatal life.
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Affiliation(s)
- Dennise Lizárraga
- Laboratory of Molecular and Cell Biology, Centro de Investigación en Alimentación y Desarrollo, Avenida Sábalo Cerritos s/n, 82112, Mazatlán, Sinaloa, Mexico
| | - Bruno Gómez-Gil
- Laboratory of Microbial Genomics, Centro de Investigación en Alimentación y Desarrollo, Avenida Sábalo Cerritos s/n, 82112, Mazatlán, Sinaloa, Mexico
| | - Teresa García-Gasca
- Laboratory of Molecular and Cellular Biology, Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de las Ciencias s/n, 76230, Juriquilla, Querétaro, Mexico
| | - Anaguiven Ávalos-Soriano
- Laboratory of Molecular and Cell Biology, Centro de Investigación en Alimentación y Desarrollo, Avenida Sábalo Cerritos s/n, 82112, Mazatlán, Sinaloa, Mexico
| | - Livio Casarini
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via G. Campi 287, 41125, Modena, Italy
| | - Azucena Salazar-Oroz
- Maternal-Fetal Department, Instituto Vidalia, Hospital Sharp Mazatlán, Avenida Rafael Buelna y Dr. Jesús Kumate s/n, 82126, Mazatlán, Sinaloa, Mexico
| | - Alejandra García-Gasca
- Laboratory of Molecular and Cell Biology, Centro de Investigación en Alimentación y Desarrollo, Avenida Sábalo Cerritos s/n, 82112, Mazatlán, Sinaloa, Mexico.
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Waldrop SW, Niemiec S, Wood C, Gyllenhammer LE, Jansson T, Friedman JE, Tryggestad JB, Borengasser SJ, Davidson EJ, Yang IV, Kechris K, Dabelea D, Boyle KE. Cord blood DNA methylation of immune and lipid metabolism genes is associated with maternal triglycerides and child adiposity. Obesity (Silver Spring) 2024; 32:187-199. [PMID: 37869908 PMCID: PMC10872762 DOI: 10.1002/oby.23915] [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: 02/08/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 10/24/2023]
Abstract
OBJECTIVE Fetal exposures may impact offspring epigenetic signatures and adiposity. The authors hypothesized that maternal metabolic traits associate with cord blood DNA methylation, which, in turn, associates with child adiposity. METHODS Fasting serum was obtained in 588 pregnant women (27-34 weeks' gestation), and insulin, glucose, high-density lipoprotein cholesterol, triglycerides, and free fatty acids were measured. Cord blood DNA methylation and child adiposity were measured at birth, 4-6 months, and 4-6 years. The association of maternal metabolic traits with DNA methylation (429,246 CpGs) for differentially methylated probes (DMPs) and regions (DMRs) was tested. The association of the first principal component of each DMR with child adiposity was tested, and mediation analysis was performed. RESULTS Maternal triglycerides were associated with the most DMPs and DMRs of all traits tested (261 and 198, respectively, false discovery rate < 0.05). DMRs were near genes involved in immune function and lipid metabolism. Triglyceride-associated CpGs were associated with child adiposity at 4-6 months (32 CpGs) and 4-6 years (2 CpGs). One, near CD226, was observed at both timepoints, mediating 10% and 22% of the relationship between maternal triglycerides and child adiposity at 4-6 months and 4-6 years, respectively. CONCLUSIONS DNA methylation may play a role in the association of maternal triglycerides and child adiposity.
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Affiliation(s)
- Stephanie W. Waldrop
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Sierra Niemiec
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Cheyret Wood
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Lauren E. Gyllenhammer
- Department of Pediatrics, University of California, Irvine, School of Medicine, Irvine, CA, USA
| | - Thomas Jansson
- Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Jacob E. Friedman
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jeanie B. Tryggestad
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Sarah J. Borengasser
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Elizabeth J. Davidson
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Ivana V. Yang
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO USA
| | - Dana Dabelea
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Kristen E. Boyle
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO USA
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Linares-Pineda TM, Peña-Montero N, Gutiérrez-Repiso C, Lima-Rubio F, Sánchez-Pozo A, Tinahones FJ, Molina-Vega M, Picón-César MJ, Morcillo S. Epigenome wide association study in peripheral blood of pregnant women identifies potential metabolic pathways related to gestational diabetes. Epigenetics 2023; 18:2211369. [PMID: 37192269 DOI: 10.1080/15592294.2023.2211369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/24/2023] [Accepted: 04/28/2023] [Indexed: 05/18/2023] Open
Abstract
Gestational diabetes mellitus (GDM) increases the risk of developing metabolic disorders in both pregnant women and their offspring. Factors such as nutrition or the intrauterine environment may play an important role, through epigenetic mechanisms, in the development of GDM. The aim of this work is to identify epigenetic marks involved in the mechanisms or pathways related to gestational diabetes. A total of 32 pregnant women were selected, 16 of them with GDM and 16 non-GDM. DNA methylation pattern was obtained from Illumina Methylation Epic BeadChip, from peripheral blood samples at the diagnostic visit (26-28 weeks). Differential methylated positions (DMPs) were extracted using ChAMP and limma package in R 2.9.10, with a threshold of FDR <0.05, deltabeta >|5|% and B >0. A total of 1.141 DMPs were found, and 714 were annotated in genes. A functional analysis was performed, and we found 23 genes significantly related to carbohydrate metabolism. Finally, a total of 27 DMPs were correlated with biochemical variables such as glucose levels at different points of oral glucose tolerance test, fasting glucose, cholesterol, HOMAIR and HbA1c, at different visits during pregnancy and postpartum. Our results show that there is a differentiated methylation pattern between GDM and non-GDM. Furthermore, the genes annotated to the DMPs could be implicated in the development of GDM as well as in alterations in related metabolic variables.
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Affiliation(s)
- Teresa María Linares-Pineda
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
- Departamento de Bioquímica y Biología Molecular 2, Universidad de Granada, Granada, Spain
| | - Nerea Peña-Montero
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - Carolina Gutiérrez-Repiso
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Fuensanta Lima-Rubio
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - Antonio Sánchez-Pozo
- Departamento de Bioquímica y Biología Molecular 2, Universidad de Granada, Granada, Spain
| | - Francisco J Tinahones
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Medicina y Dermatología, Universidad de Málaga, Málaga, Spain
| | - María Molina-Vega
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - María José Picón-César
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
| | - Sonsoles Morcillo
- Departamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Obesidad, diabetes y sus comorbilidades: prevención y tratamiento, Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma Bionand, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
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Wang G, Xu R, Zhang B, Hong X, Bartell TR, Pearson C, Liang L, Wang X. Impact of intrauterine exposure to maternal diabetes on preterm birth: fetal DNA methylation alteration is an important mediator. Clin Epigenetics 2023; 15:59. [PMID: 37029435 PMCID: PMC10082529 DOI: 10.1186/s13148-023-01473-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 03/21/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND In utero exposure to diabetes has been shown to contribute to preterm birth, though the underlying biological mechanisms are yet to be fully elucidated. Fetal epigenetic variations established in utero may be a possible pathway. This study aimed to investigate whether in utero exposure to diabetes was associated with a change in newborn DNA methylation, and whether the identified CpG sites mediate the association between diabetes and preterm birth in a racially diverse birth cohort population. METHODS This study included 954 mother-newborn pairs. Methylation levels in the cord blood were determined using the Illumina Infinium MethylationEPIC BeadChip 850 K array platform. In utero exposure to diabetes was defined by the presence of maternal pregestational or gestational diabetes. Preterm birth was defined as gestational age at birth less than 37 weeks. Linear regression analysis was employed to identify differentially methylated CpG sites. Differentially methylated regions were identified using the DMRcate Package. RESULTS 126 (13%) newborns were born to mothers with diabetes in pregnancy and 173 (18%) newborns were born preterm, while 41 newborns were born both preterm and to mothers with diabetes in pregnancy. Genomic-wide CpG analysis found that eighteen CpG sites in cord blood were differentially methylated by maternal diabetes status at an FDR threshold of 5%. These significant CpG sites were mapped to 12 known genes, one of which was annotated to gene Major Histocompatibility Complex, Class II, DM Beta (HLA-DMB). Consistently, one of the two identified significant methylated regions overlapped with HLA-DMB. The identified differentially methylated CpG sites mediated the association between diabetes in pregnancy and preterm birth by 61%. CONCLUSIONS In this US birth cohort, we found that maternal diabetes was associated with altered fetal DNA methylation patterns, which substantially explained the link between diabetes and preterm birth.
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Affiliation(s)
- Guoying Wang
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2179, USA.
| | - Richard Xu
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Boyang Zhang
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiumei Hong
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2179, USA
| | - Tami R Bartell
- Patrick M. Magoon Institute for Healthy Communities, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Colleen Pearson
- Department of Pediatrics, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xiaobin Wang
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2179, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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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.
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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
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Lecorguillé M, McAuliffe FM, Twomey PJ, Viljoen K, Mehegan J, Kelleher CC, Suderman M, Phillips CM. Maternal Glycaemic and Insulinemic Status and Newborn DNA Methylation: Findings in Women With Overweight and Obesity. J Clin Endocrinol Metab 2022; 108:85-98. [PMID: 36137169 PMCID: PMC9759168 DOI: 10.1210/clinem/dgac553] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/26/2022] [Indexed: 11/07/2022]
Abstract
CONTEXT Maternal dysglycaemia and prepregnancy obesity are associated with adverse offspring outcomes. Epigenetic mechanisms such as DNA methylation (DNAm) could contribute. OBJECTIVE To examine relationships between maternal glycaemia, insulinemic status, and dietary glycemic indices during pregnancy and an antenatal behavioral-lifestyle intervention with newborn DNAm. METHODS We investigated 172 women from a randomized controlled trial of a lifestyle intervention in pregnant women who were overweight or obese. Fasting glucose and insulin concentrations and derived indices of insulin resistance (HOMA-IR), β-cell function (HOMA-%B), and insulin sensitivity were determined at baseline (15) and 28 weeks' gestation. Dietary glycemic load (GL) and index (GI) were calculated from 3-day food diaries. Newborn cord blood DNAm levels of 850K CpG sites were measured using the Illumina Infinium HumanMethylationEPIC array. Associations of each biomarker, dietary index and intervention with DNAm were examined. RESULTS Early pregnancy HOMA-IR and HOMA-%B were associated with lower DNAm at CpG sites cg03158092 and cg05985988, respectively. Early pregnancy insulin sensitivity was associated with higher DNAm at cg04976151. Higher late pregnancy insulin concentrations and GL scores were positively associated with DNAm at CpGs cg12082129 and cg11955198 and changes in maternal GI with lower DNAm at CpG cg03403995 (Bonferroni corrected P < 5.99 × 10-8). These later associations were located at genes previously implicated in growth or regulation of insulin processes. No effects of the intervention on cord blood DNAm were observed. None of our findings were replicated in previous studies. CONCLUSION Among women who were overweight or obese, maternal pregnancy dietary glycemic indices, glucose, and insulin homeostasis were associated with modest changes in their newborn methylome. TRIAL REGISTRATION ISRCTN29316280.
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Affiliation(s)
- Marion Lecorguillé
- Correspondence: Marion Lecorguillé, PhD, School of Public Health, Physiotherapy and Sports Science, Woodview House, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - Patrick J Twomey
- School of Medicine, University College Dublin, Dublin, Republic of Ireland
| | - Karien Viljoen
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Republic of Ireland
| | - John Mehegan
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Republic of Ireland
| | - Cecily C Kelleher
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Republic of Ireland
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Mannstadt M, Cianferotti L, Gafni RI, Giusti F, Kemp EH, Koch CA, Roszko KL, Yao L, Guyatt GH, Thakker RV, Xia W, Brandi ML. Hypoparathyroidism: Genetics and Diagnosis. J Bone Miner Res 2022; 37:2615-2629. [PMID: 36375809 DOI: 10.1002/jbmr.4667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 07/22/2022] [Accepted: 07/31/2022] [Indexed: 01/05/2023]
Abstract
This narrative report summarizes diagnostic criteria for hypoparathyroidism and describes the clinical presentation and underlying genetic causes of the nonsurgical forms. We conducted a comprehensive literature search from January 2000 to January 2021 and included landmark articles before 2000, presenting a comprehensive update of these topics and suggesting a research agenda to improve diagnosis and, eventually, the prognosis of the disease. Hypoparathyroidism, which is characterized by insufficient secretion of parathyroid hormone (PTH) leading to hypocalcemia, is diagnosed on biochemical grounds. Low albumin-adjusted calcium or ionized calcium with concurrent inappropriately low serum PTH concentration are the hallmarks of the disease. In this review, we discuss the characteristics and pitfalls in measuring calcium and PTH. We also undertook a systematic review addressing the utility of measuring calcium and PTH within 24 hours after total thyroidectomy to predict long-term hypoparathyroidism. A summary of the findings is presented here; results of the detailed systematic review are published separately in this issue of JBMR. Several genetic disorders can present with hypoparathyroidism, either as an isolated disease or as part of a syndrome. A positive family history and, in the case of complex diseases, characteristic comorbidities raise the clinical suspicion of a genetic disorder. In addition to these disorders' phenotypic characteristics, which include autoimmune diseases, we discuss approaches for the genetic diagnosis. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Michael Mannstadt
- Endocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Luisella Cianferotti
- Bone Metabolic Diseases Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Rachel I Gafni
- National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Christian A Koch
- Department of Medicine/Endocrinology, Fox Chase Cancer Center, Philadelphia, PA, USA.,Department of Medicine/Endocrinology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kelly L Roszko
- National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, USA
| | - Liam Yao
- Department of Health Research Methods, Evidence, and Impact, and Department of Medicine, McMaster University, Hamilton, Canada
| | - Gordon H Guyatt
- Department of Health Research Methods, Evidence, and Impact, and Department of Medicine, McMaster University, Hamilton, Canada
| | - Rajesh V Thakker
- Academic Endocrine Unit, Radcliffe Department of Medicine, University of Oxford, Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), Churchill Hospital, Headington, Oxford, UK.,Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Weibo Xia
- Department of Endocrinology, Peking Union Medical Collage Hospital, Beijing, China
| | - Maria-Luisa Brandi
- Fondazione Italiana sulla Ricerca sulle Malattie dell'Osso (F.I.R.M.O. Foundation), Florence, Italy
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10
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Chen F, Fei X, Zhu W, Zhang Z, Shen Y, Mao Y, Zhu Q, Xu J, Zhou W, Li M, Du J. Placental DNA methylation changes in gestational diabetes mellitus. Epigenetics 2022; 17:2109-2121. [PMID: 35993280 PMCID: PMC9665131 DOI: 10.1080/15592294.2022.2110193] [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: 03/26/2022] [Accepted: 08/01/2022] [Indexed: 11/03/2022] Open
Abstract
In this study, we investigated the association between altered methylation in the maternal placenta and hyperglycaemia and explored the epigenetic mechanisms underlying gestational diabetes mellitus (GDM). Reduced representation bisulphite sequencing (RRBS) and RNA sequencing (RNA-seq) were performed on placental tissues obtained from women with GDM and healthy controls. Further, pyrosequencing, correlation analyses, and linear regression analyses were performed to valuate relationships between aberrantly methylated-differentially expressed genes and clinical parameters. The EMBOSS and JASPAR databases were used for a computational analysis of CpG islands and transcription factor-binding sites in the TRIM67 promoter region. A CpG island with a length of 264 bp in the placental TRIM67 promoter region in the GDM group exhibited significant hypermethylation at four CpG sites. The hypermethylation of the TRIM67 promoter region in the maternal placenta showed a significant, positive correlation with the 1 h and 2 h oral glucose tolerance test (OGTT) values and a negative correlation with lipoprotein(a). Placental DNA methylation levels in the TRIM67 promoter region were markedly elevated in GDM and were associated with blood glucose and lipid levels during healthy pregnancy.
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Affiliation(s)
- Fujia Chen
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Xiaoping Fei
- Obstetrics Department, The First People’s Hospital of Kunshan, Kunshan, China
| | - Weiqiang Zhu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Zhaofeng Zhang
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Yupei Shen
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Yanyan Mao
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Qianxi Zhu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Jianhua Xu
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Weijin Zhou
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Min Li
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
| | - Jing Du
- NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Pharmacy, Fudan University, Shanghai, China
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11
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Ibrahim HIM. Epigenetic Regulation of Obesity-Associated Type 2 Diabetes. Medicina (B Aires) 2022; 58:medicina58101366. [PMID: 36295527 PMCID: PMC9607337 DOI: 10.3390/medicina58101366] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 11/16/2022] Open
Abstract
Obesity is becoming more widespread, and epidemics of this condition are now considered present in all developed countries, leading to public health concerns. The dramatic increases in obesity, type 2 diabetes mellitus (T2DM), and related vascular difficulties are causing a public health crisis. Thus, it is imperative that these trends are curbed. Understanding the molecular underpinnings of these diseases is crucial to aiding in their detection or even management. Thus, understanding the mechanisms underlying the interactions between environment, lifestyle, and genetics is important for developing effective strategies for the management of obesity. The focus is on finding the vital role of epigenetic changes in the etiology of obesity. Genome and epigenome-wide approaches have revealed associations with T2DM. The epigenome indicates that there is a systematic link between genetic variants and environmental factors that put people at risk of obesity. The present review focuses on the epigenetic mechanism linked with obesity-associated T2DM. Although the utilization of epigenetic treatments has been discussed with reference to certain cancers, several challenges remain to be addressed for T2DM.
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Affiliation(s)
- Hairul Islam Mohamed Ibrahim
- Department of Biological Science, College of Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia;
- Division of Microbiology and Immunology, Pondicherry Centre for Biological Science and Educational Trust, Puducherry 605004, India
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12
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Dias S, Willmer T, Adam S, Pheiffer C. The role of maternal DNA methylation in pregnancies complicated by gestational diabetes. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:982665. [PMID: 36992770 PMCID: PMC10012132 DOI: 10.3389/fcdhc.2022.982665] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022]
Abstract
Diabetes in pregnancy is associated with adverse pregnancy outcomes and poses a serious threat to the health of mother and child. Although the pathophysiological mechanisms that underlie the association between maternal diabetes and pregnancy complications have not yet been elucidated, it has been suggested that the frequency and severity of pregnancy complications are linked to the degree of hyperglycemia. Epigenetic mechanisms reflect gene-environment interactions and have emerged as key players in metabolic adaptation to pregnancy and the development of complications. DNA methylation, the best characterized epigenetic mechanism, has been reported to be dysregulated during various pregnancy complications, including pre-eclampsia, hypertension, diabetes, early pregnancy loss and preterm birth. The identification of altered DNA methylation patterns may serve to elucidate the pathophysiological mechanisms that underlie the different types of maternal diabetes during pregnancy. This review aims to provide a summary of existing knowledge on DNA methylation patterns in pregnancies complicated by pregestational type 1 (T1DM) and type 2 diabetes mellitus (T2DM), and gestational diabetes mellitus (GDM). Four databases, CINAHL, Scopus, PubMed and Google Scholar, were searched for studies on DNA methylation profiling in pregnancies complicated with diabetes. A total of 1985 articles were identified, of which 32 met the inclusion criteria and are included in this review. All studies profiled DNA methylation during GDM or impaired glucose tolerance (IGT), while no studies investigated T1DM or T2DM. We highlight the increased methylation of two genes, Hypoxia‐inducible Factor‐3α (HIF3α) and Peroxisome Proliferator-activated Receptor Gamma-coactivator-Alpha (PGC1-α), and the decreased methylation of one gene, Peroxisome Proliferator Activated Receptor Alpha (PPARα), in women with GDM compared to pregnant women with normoglycemia that were consistently methylated across diverse populations with varying pregnancy durations, and using different diagnostic criteria, methodologies and biological sources. These findings support the candidacy of these three differentially methylated genes as biomarkers for GDM. Furthermore, these genes may provide insight into the pathways that are epigenetically influenced during maternal diabetes and which should be prioritized and replicated in longitudinal studies and in larger populations to ensure their clinical applicability. Finally, we discuss the challenges and limitations of DNA methylation analysis, and the need for DNA methylation profiling to be conducted in different types of maternal diabetes in pregnancy.
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Affiliation(s)
- Stephanie Dias
- Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa
| | - Tarryn Willmer
- Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa
- Centre for Cardio-Metabolic Research in Africa, Division of Medical Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Sumaiya Adam
- Department of Obstetrics and Gynecology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- Diabetes Research Center, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Carmen Pheiffer
- Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa
- Centre for Cardio-Metabolic Research in Africa, Division of Medical Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Department of Obstetrics and Gynecology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
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13
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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.
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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.
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14
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Desale H, Buekens P, Alger J, Cafferata ML, Harville EW, Herrera C, Truyens C, Dumonteil E. Epigenetic signature of exposure to maternal Trypanosoma cruzi infection in cord blood cells from uninfected newborns. Epigenomics 2022; 14:913-927. [PMID: 36039408 PMCID: PMC9475499 DOI: 10.2217/epi-2022-0153] [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: 11/21/2022] Open
Abstract
Aims: To assess the epigenetic effects of in utero exposure to maternal Trypanosoma cruzi infection. Methods: We performed an epigenome-wide association study to compare the DNA methylation patterns of umbilical cord blood cells from uninfected babies from chagasic and uninfected mothers. DNA methylation was measured using Infinium EPIC arrays. Results: We identified a differential DNA methylation signature of fetal exposure to maternal T. cruzi infection, in the absence of parasite transmission, with 12 differentially methylated sites in B cells and CD4+ T cells, including eight protein-coding genes. Conclusion: These genes participate in hematopoietic cell differentiation and the immune response and may be involved in immune disorders. They also have been associated with several developmental disorders and syndromes.
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Affiliation(s)
- Hans Desale
- Department of Tropical Medicine, Tulane University School of Public Health & Tropical Medicine & Tulane University Vector-Borne & Infectious Disease Research Center, New Orleans, LA 70112, USA
| | - Pierre Buekens
- Department of Epidemiology, Tulane University School of Public Health & Tropical Medicine, New Orleans, LA 70112, USA
| | - Jackeline Alger
- Instituto de Enfermedades Infecciosas y Parasitologia Antonio Vidal, Tegucigalpa, Honduras.,Ministry of Health, Hospital Escuela, Tegucigalpa, Honduras
| | - Maria Luisa Cafferata
- Unidad de Investigación Clínica y Epidemiológica Montevideo (UNICEM), Hospital de Clínicas, Montevideo, 11600, Uruguay
| | - Emily Wheeler Harville
- Department of Epidemiology, Tulane University School of Public Health & Tropical Medicine, New Orleans, LA 70112, USA
| | - Claudia Herrera
- Department of Tropical Medicine, Tulane University School of Public Health & Tropical Medicine & Tulane University Vector-Borne & Infectious Disease Research Center, New Orleans, LA 70112, USA
| | - Carine Truyens
- Laboratory of Parasitology, Faculty of Medicine, & ULB Center for Research in Immunology (UCRI), Université Libre de Bruxelles, Brussels, Belgium
| | - Eric Dumonteil
- Department of Tropical Medicine, Tulane University School of Public Health & Tropical Medicine & Tulane University Vector-Borne & Infectious Disease Research Center, New Orleans, LA 70112, USA
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15
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Umbilical cord blood metabolomics: association with intrauterine hyperglycemia. Pediatr Res 2022; 91:1530-1535. [PMID: 33980991 DOI: 10.1038/s41390-021-01516-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/11/2021] [Accepted: 03/20/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Intrauterine hyperglycemia can harm a fetus's growth and development, and this can be seen in the umbilical cord blood metabolism disorder. However, the metabolites and metabolic mechanisms involved in the condition remain unknown. METHODS Targeted metabolomics using liquid chromatography and MetaboAnalyst were conducted in this study to explore differences in metabolites and metabolic pathways between individuals with hyperglycemia or well-controlled gestational diabetes mellitus (GDM) and healthy controls. RESULTS Univariate analysis found that the hyperglycemic and healthy control groups differed in 30 metabolites, while the well-controlled GDM and the healthy control groups differed only in three metabolites-ursodeoxycholic acid, docosahexaenoic acid, and 8,11,14-eicosatrienoic acid. Most of these metabolic variations were negatively associated with neonatal weights. Further research showed that the variations in the metabolites were primarily associated with the metabolic pathways of linoleic acid (LA) and alpha-linolenic acid (ALA). CONCLUSION Gestational hyperglycemia and well-controlled GDM, which may play a major role by inhibiting the LA and ALA metabolic pathways, have detrimental effects on cord blood metabolism. IMPACT The main point of this paper is that intrauterine hyperglycemia has a negative effect on cord blood metabolism mainly through the linoleic acid and alpha-linolenic acid metabolic pathways. This is a study to report a new association between well-controlled GDM and cord blood metabolism. This study provides a possible explanation for the association between intrauterine hyperglycemia and neonatal adverse birth outcomes.
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16
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Zhong W, Li C, Liu J, Zhou J, Xiao Z, Li C, Wu H. Effect and Significance of High-Quality Nursing on Blood Glucose, Pregnancy Outcome, and Neonatal Complications of Patients with Gestational Diabetes Mellitus. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:2426417. [PMID: 35516455 PMCID: PMC9064497 DOI: 10.1155/2022/2426417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 01/26/2022] [Accepted: 02/02/2022] [Indexed: 11/17/2022]
Abstract
Objective To explore the role of high-quality nursing on blood glucose, pregnancy outcome, and neonatal complications in patients with gestational diabetes mellitus. Methods Altogether, 148 patients with GDM admitted to our hospital were selected as the research participants, 83 of whom received high-quality nursing as the observation group (OG). Another 65 patients received only routine care as the control group (CG). The blood sugar level, blood pressure value, and adverse pregnancy outcomes of the OG and the CG of patients after intervention were compared. The changes of psychological state and nursing satisfaction of the OG and the CG of patients were observed. The blood lipid level and neonatal complications of the OG and the CG were detected. Results The blood sugar level of the OG was lower than that of the CG (P < 0.05). The systolic pressure and diastolic pressure of patients in the OG were lower than those in the CG after nursing intervention (P < 0.05). The abnormal delivery rate in the CG was evidently higher than that in the OG (P < 0.05). After intervention, SAS and SDS scores in the OG were lower than those in the CG (P < 0.05). The number of people who needed improvement and were dissatisfied in the OG was evidently lower than that in the CG (P < 0.05). TG and LDL-C in the OG were lower than those in the CG (P < 0.05). The total incidence of complications in the CG was evidently higher than that in the OG (P < 0.05). Conclusion High-quality nursing can reduce blood sugar and blood pressure of GDM patients and has a great protective effect on maternal and infant health, which is worthy of clinical practice.
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Affiliation(s)
- Wenjuan Zhong
- Pediatrics, Wuhan Wuchang Hospital, Wuchang Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430063, China
| | - Chunxia Li
- Department of Obstetrics and Gynecology, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Jing Liu
- Nursing Department, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Jinman Zhou
- Nursing Department, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Zhong Xiao
- Department of Obstetrics and Gynecology, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Cuimei Li
- General Surgery, Wuhan Wuchang Hospital, Wuhan 430063, China
| | - Hui Wu
- General Surgery, Wuhan Wuchang Hospital, Wuhan 430063, China
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17
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Akhabir L, Stringer R, Desai D, Mandhane PJ, Azad MB, Moraes TJ, Subbarao P, Turvey SE, Paré G, Anand SS, Anand SS, Atkinson SA, Azad MB, Becker AB, Brook J, Denburg JA, Desai D, de Souza RJ, Gupta M, Kobor M, Lefebvre DL, Lou W, Mandhane PJ, McDonald S, Mente A, Meyre D, Moraes TJ, Morrison K, Paré G, Sears MR, Subbarao P, Teo KK, Turvey SE, Wilson J, Yusuf S, Atkinson S, Wahi G, Zulyniak MA. DNA methylation changes in cord blood and the developmental origins of health and disease – a systematic review and replication study. BMC Genomics 2022; 23:221. [PMID: 35305575 PMCID: PMC8933946 DOI: 10.1186/s12864-022-08451-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 03/07/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Environmental exposures in utero which modify DNA methylation may have a long-lasting impact on health and disease in offspring. We aimed to identify and replicate previously published genomic loci where DNA methylation changes are attributable to in utero exposures in the NutriGen birth cohort studies Alliance.
Methods
We reviewed the literature to identify differentially methylated sites of newborn DNA which are associated with the following five traits of interest maternal diabetes, pre-pregnancy body mass index (BMI), diet during pregnancy, smoking, and gestational age. We then attempted to replicate these published associations in the Canadian Healthy Infant Longitudinal Development (CHILD) and the South Asian birth cohort (START) cord blood epigenome-wide data.
Results
We screened 68 full-text articles and identified a total of 17 cord blood epigenome-wide association studies (EWAS) of the traits of interest. Out of the 290 CpG sites reported, 19 were identified in more than one study; all of them associated with maternal smoking. In CHILD and START EWAS, thousands of sites associated with gestational age were identified and maintained significance after correction for multiple testing. In CHILD, there was differential methylation observed for 8 of the published maternal smoking sites. No other traits tested (i.e., folate levels, gestational diabetes, birthweight) replicated in the CHILD or START cohorts.
Conclusions
Maternal smoking during pregnancy and gestational age are strongly associated with differential methylation in offspring cord blood, as assessed in the EWAS literature and our birth cohorts. There are a limited number of reported methylation sites associated in more than two independent studies related to pregnancy. Additional large studies of diverse populations with fine phenotyping are needed to produce robust epigenome-wide data in order to further elucidate the effect of intrauterine exposures on the infants’ methylome.
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18
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Shen C, Li H, Li M, Niu Y, Liu J, Zhu L, Gui H, Han W, Wang H, Zhang W, Wang X, Luo X, Sun Y, Yan J, Guan F. DLRAPom: a hybrid pipeline of Optimized XGBoost-guided integrative multiomics analysis for identifying targetable disease-related lncRNA-miRNA-mRNA regulatory axes. Brief Bioinform 2022; 23:6537347. [PMID: 35224615 PMCID: PMC8921741 DOI: 10.1093/bib/bbac046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/13/2022] [Accepted: 01/29/2022] [Indexed: 12/12/2022] Open
Abstract
The lack of a reliable and easy-to-operate screening pipeline for disease-related noncoding RNA regulatory axis is a problem that needs to be solved urgently. To address this, we designed a hybrid pipeline, disease-related lncRNA-miRNA-mRNA regulatory axis prediction from multiomics (DLRAPom), to identify risk biomarkers and disease-related lncRNA-miRNA-mRNA regulatory axes by adding a novel machine learning model on the basis of conventional analysis and combining experimental validation. The pipeline consists of four parts, including selecting hub biomarkers by conventional bioinformatics analysis, discovering the most essential protein-coding biomarkers by a novel machine learning model, extracting the key lncRNA-miRNA-mRNA axis and validating experimentally. Our study is the first one to propose a new pipeline predicting the interactions between lncRNA and miRNA and mRNA by combining WGCNA and XGBoost. Compared with the methods reported previously, we developed an Optimized XGBoost model to reduce the degree of overfitting in multiomics data, thereby improving the generalization ability of the overall model for the integrated analysis of multiomics data. With applications to gestational diabetes mellitus (GDM), we predicted nine risk protein-coding biomarkers and some potential lncRNA-miRNA-mRNA regulatory axes, which all correlated with GDM. In those regulatory axes, the MALAT1/hsa-miR-144-3p/IRS1 axis was predicted to be the key axis and was identified as being associated with GDM for the first time. In short, as a flexible pipeline, DLRAPom can contribute to molecular pathogenesis research of diseases, effectively predicting potential disease-related noncoding RNA regulatory networks and providing promising candidates for functional research on disease pathogenesis.
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Affiliation(s)
- Chen Shen
- Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Science; Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huiyu Li
- Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Miao Li
- Department of Ultrasound, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Yu Niu
- Department of Endocrinology and Metabolism, Ninth Hospital of Xi'an City, Xi'an, China
| | - Jing Liu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Li Zhu
- Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Hongsheng Gui
- Center for Behavior Health and Psychiatry Research, Henry Ford Health System, Detroit, MI, USA
| | - Wei Han
- Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huiying Wang
- Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Wenpei Zhang
- Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiaochen Wang
- Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiao Luo
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yu Sun
- Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Ji'nan, China
| | - Jiangwei Yan
- Department of Genetics, School of Medicine & Forensics, Shanxi Medical University, Taiyuan, China
| | - Fanglin Guan
- Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Science; Key Laboratory of National Ministry of Health for Forensic Sciences, School of Medicine & Forensics, Health Science Center, Xi'an Jiaotong University, Xi'an, China
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19
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Lim IY, Lin X, Teh AL, Wu Y, Chen L, He M, Chan SY, MacIsaac JL, Chan JKY, Tan KH, Chong MFF, Kobor MS, Godfrey KM, Meaney MJ, Lee YS, Eriksson JG, Gluckman PD, Chong YS, Karnani N. Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome. J Clin Endocrinol Metab 2022; 107:e1277-e1292. [PMID: 34633450 PMCID: PMC8852163 DOI: 10.1210/clinem/dgab710] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Indexed: 01/22/2023]
Abstract
CONTEXT Antenatal hyperglycemia is associated with increased risk of future adverse health outcomes in both mother and child. Variations in offspring's epigenome can reflect the impact and response to in utero glycemic exposure, and may have different consequences for the child. OBJECTIVE We examined possible differences in associations of basal glucose status and glucose handling during pregnancy with both clinical covariates and offspring cord tissue DNA methylation. RESEARCH DESIGN AND METHODS This study included 830 mother-offspring dyads from the Growing Up in Singapore Towards Healthy Outcomes cohort. The fetal epigenome of umbilical cord tissue was profiled using Illumina HumanMethylation450 arrays. Associations of maternal mid-pregnancy fasting (fasting plasma glucose [FPG]) and 2-hour plasma glucose (2hPG) after a 75-g oral glucose challenge with both maternal clinical phenotypes and offspring epigenome at delivery were investigated separately. RESULTS Maternal age, prepregnancy body mass index, and blood pressure measures were associated with both FPG and 2hPG, whereas Chinese ethnicity (P = 1.9 × 10-4), maternal height (P = 1.1 × 10-4), pregnancy weight gain (P = 2.2 × 10-3), prepregnancy alcohol consumption (P = 4.6 × 10-4), and tobacco exposure (P = 1.9 × 10-3) showed significantly opposite associations between the 2 glucose measures. Most importantly, we observed a dichotomy in the effects of these glycemic indices on the offspring epigenome. Offspring born to mothers with elevated 2hPG showed global hypomethylation. CpGs most associated with the 2 measures also reflected differences in gene ontologies and had different associations with offspring birthweight. CONCLUSIONS Our findings suggest that 2 traditionally used glycemic indices for diagnosing gestational diabetes may reflect distinctive pathophysiologies in pregnancy, and have differential impacts on the offspring's DNA methylome.
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Affiliation(s)
- Ives Yubin Lim
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
- Bioinformatics Institute (BII), A*STAR, 138671, Singapore
| | - Xinyi Lin
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Centre for Quantitative Medicine, Duke-National University of Singapore (NUS) Medical School, 169857, Singapore
- Singapore Clinical Research Institute, 138669, Singapore
| | - Ai Ling Teh
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Yonghui Wu
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Li Chen
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
| | - Menglan He
- Duke-NUS Medical School, 169857, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
| | - Julia L MacIsaac
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada
| | - Jerry K Y Chan
- KK Women’s and Children’s Hospital, 229899, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
| | - Kok Hian Tan
- KK Women’s and Children’s Hospital, 229899, Singapore
| | - Mary Foong Fong Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Douglas Mental Health University Institute, McGill University, Montréal, Canada
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, NUS, 119228, Singapore
- Division of Paediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, 1142, New Zealand
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 119228, Singapore
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore
- Bioinformatics Institute (BII), A*STAR, 138671, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, NUS, 117596, Singapore
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20
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Fritsche L, Hummel J, Wagner R, Löffler D, Hartkopf J, Machann J, Hilberath J, Kantartzis K, Jakubowski P, Pauluschke-Fröhlich J, Brucker S, Hörber S, Häring HU, Roden M, Schürmann A, Solimena M, de Angelis MH, Peter A, Birkenfeld AL, Preissl H, Fritsche A, Heni M. The German Gestational Diabetes Study (PREG), a prospective multicentre cohort study: rationale, methodology and design. BMJ Open 2022; 12:e058268. [PMID: 35168986 PMCID: PMC8852757 DOI: 10.1136/bmjopen-2021-058268] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Even well-treated gestational diabetes mellitus (GDM) might still have impact on long-term health of the mother and her offspring, although this relationship has not yet been conclusively studied. Using in-depth phenotyping of the mother and her offspring, we aim to elucidate the relationship of maternal hyperglycaemia during pregnancy and adequate treatment, and its impact on the long-term health of both mother and child. METHODS The multicentre PREG study, a prospective cohort study, is designed to metabolically and phenotypically characterise women with a 75-g five-point oral glucose tolerance test (OGTT) during, and repeatedly after pregnancy. Outcome measures are maternal glycaemia during OGTTs, birth outcome and the health and growth development of the offspring. The children of the study participants are followed up until adulthood with developmental tests and metabolic and epigenetic phenotyping in the PREG Offspring study. A total of 800 women (600 with GDM, 200 controls) will be recruited. ETHICS AND DISSEMINATION The study protocol has been approved by all local ethics committees. Results will be disseminated via conference presentations and peer-reviewed publications. TRIAL REGISTRATION NUMBER The PREG study and the PREG Offspring study are registered with Clinical Trials (ClinicalTrials.gov identifiers: NCT04270578, NCT04722900).
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Affiliation(s)
- Louise Fritsche
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Julia Hummel
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Robert Wagner
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Dorina Löffler
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Julia Hartkopf
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Jürgen Machann
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Johannes Hilberath
- Department for Pediatric Gastroenterology and Hepatology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Konstantinos Kantartzis
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Peter Jakubowski
- Department of Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | | | - Sara Brucker
- Department of Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Sebastian Hörber
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Michael Roden
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Diabetology, Deutsches Diabetes-Zentrum Leibniz-Zentrum für Diabetes-Forschung, Düesseldorf, Germany
| | - Annette Schürmann
- German Center for Diabetes Research, Neuherberg, Germany
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Michele Solimena
- German Center for Diabetes Research, Neuherberg, Germany
- Paul Langerhans Institute Dresden, Dresden University Hospital, Dresden, Germany
| | - Martin Hrabe de Angelis
- German Center for Diabetes Research, Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Center Munich (German Research Center for Environmental Health), Neuherberg, Germany
| | - Andreas Peter
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Andreas L Birkenfeld
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hubert Preissl
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Andreas Fritsche
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Martin Heni
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
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21
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Sharma S, Banerjee S, Krueger PM, Blois SM. Immunobiology of Gestational Diabetes Mellitus in Post-Medawar Era. Front Immunol 2022; 12:758267. [PMID: 35046934 PMCID: PMC8761800 DOI: 10.3389/fimmu.2021.758267] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 12/07/2021] [Indexed: 12/16/2022] Open
Abstract
Although the concepts related to fetal immune tolerance proposed by Sir Peter Medawar in the 1950s have not withstood the test of time, they revolutionized our current understanding of the immunity at the maternal-fetal interface. An important extension of the original Medawar paradigm is the investigation into the underlying mechanisms for adverse pregnancy outcomes, including recurrent spontaneous abortion, preterm birth, preeclampsia and gestational diabetes mellitus (GDM). Although a common pregnancy complication with systemic symptoms, GDM still lacks understanding of immunological perturbations associated with the pathological processes, particularly at the maternal-fetal interface. GDM has been characterized by low grade systemic inflammation that exacerbates maternal immune responses. In this regard, GDM may also entail mild autoimmune pathology by dysregulating circulating and uterine regulatory T cells (Tregs). The aim of this review article is to focus on maternal-fetal immunological tolerance phenomenon and discuss how local or systemic inflammation has been programmed in GDM. Specifically, this review addresses the following questions: Does the inflammatory or exhausted Treg population affecting the Th17:Treg ratio lead to the propensity of a pro-inflammatory environment? Do glycans and glycan-binding proteins (mainly galectins) contribute to the biology of immune responses in GDM? Our understanding of these important questions is still elementary as there are no well-defined animal models that mimic all the features of GDM or can be used to better understand the mechanistic underpinnings associated with this common pregnancy complication. In this review, we will leverage our preliminary studies and the literature to provide a conceptualized discussion on the immunobiology of GDM.
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Affiliation(s)
- Surendra Sharma
- Department of Pediatrics, Women and Infants Hospital-Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Sayani Banerjee
- Department of Pediatrics, Women and Infants Hospital-Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Paula M Krueger
- Department of Pediatrics, Women and Infants Hospital-Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Sandra M Blois
- Department of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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22
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Mora-Janiszewska O, Faryniak-Zuzak A, Darmochwał-Kolarz D. Epigenetic Links between Microbiota and Gestational Diabetes. Int J Mol Sci 2022; 23:ijms23031831. [PMID: 35163753 PMCID: PMC8837149 DOI: 10.3390/ijms23031831] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/29/2022] [Accepted: 02/03/2022] [Indexed: 02/01/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is considered a significant and increasing worldwide problem. The growing body of evidence on this topic has allowed us to point out that a hostile intrauterine environment in mothers with GDM via epigenetic mechanisms induces “diabetogenic” and “obesogenic” changes in an offspring’s DNA. This sets a vicious intergenerational cycle of metabolic diseases in motion, gradually deteriorating the health of the human population. One of the most important participants of this process seems to be altered microbiota. There is a chance that the identification of specific epigenetic marks may provide a key for future diagnostic, prognostic and therapeutic solutions in the field of personalised medicine. Given the reversibility of most epigenetic changes, there is an opportunity to improve the long-term health of the human population. In this manuscript, we aim to summarise available data on epigenetic changes among women suffering from GDM and their progeny, in association with alterations in the microbiome.
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23
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Cuomo F, Dell'Aversana C, Chioccarelli T, Porreca V, Manfrevola F, Papulino C, Carafa V, Benedetti R, Altucci L, Cobellis G, Cobellis G. HIF3A Inhibition Triggers Browning of White Adipocytes via Metabolic Rewiring. Front Cell Dev Biol 2022; 9:740203. [PMID: 35096807 PMCID: PMC8790297 DOI: 10.3389/fcell.2021.740203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 12/13/2021] [Indexed: 12/15/2022] Open
Abstract
Maintenance of energy balance between intake and expenditure is a prerequisite of human health, disrupted in severe metabolic diseases, such as obesity and type 2 diabetes (T2D), mainly due to accumulation of white adipose tissue (WAT). WAT undergoes a morphological and energetic remodelling toward brown adipose tissue (BAT) and the BAT activation has anti-obesity potential. The mechanisms or the regulatory factors able to activate BAT thermogenesis have been only partially deciphered. Identifying novel regulators of BAT induction is a question of great importance for fighting obesity and T2D. Here, we evaluated the role of Hif3α in murine pre-adipocyte 3T3-L1 cell line, a versatile and well characterized biological model of adipogenesis, by gain- and loss-of function approaches and in thermogenesis-induced model in vivo. HIF3A is regulated by inflammation, it modulates lypolysis in adipose tissue of obese adults, but its role in energy metabolism has not previously been investigated. We characterized gene and protein expression patterns of adipogenesis and metabolic activity in vitro and mechanistically in vivo. Overexpression of Hif3α in differentiating adipocytes increases white fat cells, whereas silencing of Hif3α promotes “browning” of white cells, activating thermogenesis through upregulation of Ucp1, Elovl3, Prdm16, Dio2 and Ppargc1a genes. Investigating cell metabolism, Seahorse Real-Time Cell Metabolism Analysis showed that silencing of Hif3α resulted in a significant increase of mitochondrial uncoupling with a concomitant increase in acetyl-CoA metabolism and Sirt1 and Sirt3 expression. The causal Hif3α/Ucp1 inverse relation has been validated in Cannabinoid receptor 1 (CB1) knockout, a thermogenesis-induced model in vivo. Our data indicate that Hif3α inhibition triggers “browning” of white adipocytes activating the beneficial thermogenesis rewiring energy metabolism in vitro and in vivo. HIF3A is a novel player that controls the energy metabolism with potential applications in developing therapy to fight metabolic disorders, as obesity, T2D and ultimately cancer.
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Affiliation(s)
- Francesca Cuomo
- Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
| | - Carmela Dell'Aversana
- Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy.,Institute Experimental Endocrinology and Oncology "Gaetano Salvatore" (IEOS)-National Research Council (CNR), Napoli, Italy
| | - Teresa Chioccarelli
- Department of Experimental Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
| | - Veronica Porreca
- Department of Experimental Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
| | - Francesco Manfrevola
- Department of Experimental Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
| | - Chiara Papulino
- Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
| | - Vincenzo Carafa
- Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
| | - Rosaria Benedetti
- Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
| | - Lucia Altucci
- Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy.,Biogem Institute of Molecular and Genetic Biology, Ariano Irpino, Italy
| | - Gilda Cobellis
- Department of Experimental Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
| | - Gilda Cobellis
- Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", Napoli, Italy
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24
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Kasuga Y, Kawai T, Miyakoshi K, Hori A, Tamagawa M, Hasegawa K, Ikenoue S, Ochiai D, Saisho Y, Hida M, Tanaka M, Hata K. DNA methylation analysis of cord blood samples in neonates born to gestational diabetes mothers diagnosed before 24 gestational weeks. BMJ Open Diabetes Res Care 2022; 10:10/1/e002539. [PMID: 35046013 PMCID: PMC8772407 DOI: 10.1136/bmjdrc-2021-002539] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 12/03/2021] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Genome-wide methylation analyses of gestational diabetes mellitus (GDM) diagnosed after 24 gestational weeks (late GDM (L-GDM)) using cord blood have been reported. However, epigenetic changes in neonates born to mothers with GDM diagnosed before 24 gestational weeks (early GDM (E-GDM)) have not been reported. We investigated DNA methylation in neonates born to mothers with E-GDM using cord blood samples. RESEARCH DESIGN AND METHODS Genome-wide DNA methylation analysis was performed using an Illumina EPIC array to compare methylation rates of 754 255 autosomal sites in cord blood samples from term neonates born to 162 mothers with GDM (E-GDM: n=84, L-GDM: n=78) and 60 normal glucose tolerance (normal OGTT) pregnancies. GDM was diagnosed based on Japan Society of Obstetrics and Gynecology criteria modified with International Association of Diabetes in Pregnancy Study Group criteria. In this study, all GDM mothers underwent dietary management, while self-monitoring of blood glucose and insulin administration was initiated when dietary modification did not achieve glycemic control. RESULTS There were no significant differences in genome-wide DNA methylation of cord blood samples between the GDM (E-GDM and L-GDM) groups and normal OGTT group or between the E-GDM and normal OGTT groups, L-GDM and normal OGTT groups, and E-GDM and L-GDM groups. CONCLUSIONS This is the first report to determine the DNA methylation patterns in neonates born to mothers with E-GDM. Neonates born to mothers with GDM, who were diagnosed based on Japan Society of Obstetrics and Gynecology criteria, may not differ in DNA methylation compared with those born to normal OGTT mothers.
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Affiliation(s)
- Yoshifumi Kasuga
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Tomoko Kawai
- Division of Fetal Development, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Kei Miyakoshi
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Asuka Hori
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo, Japan
- Department of Medical Genetics and Genomics, Kitasato University Graduate School of Medical Sciences, Sagamihara, Kanagawa, Japan
| | - Masumi Tamagawa
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Keita Hasegawa
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Satoru Ikenoue
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Daigo Ochiai
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Yoshifumi Saisho
- Department of Internal Medicine, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Mariko Hida
- Department of Pediatrics, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Mamoru Tanaka
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Kenichiro Hata
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Setagaya-ku, Tokyo, Japan
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25
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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.
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26
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Wang X, Huang J, Zheng Y, Long S, Lin H, Zhang N, Tian M, Wu X, An R, Ma S, Tan H. Study on the relationship between DNA methylation of target CpG sites in peripheral blood and gestational diabetes during early pregnancy. Sci Rep 2021; 11:20455. [PMID: 34650136 PMCID: PMC8516930 DOI: 10.1038/s41598-021-99836-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 09/28/2021] [Indexed: 11/15/2022] Open
Abstract
Genome-wide DNA methylation profiling have been used to find maternal CpG sites related to the occurrence of gestational diabetes mellitus (GDM). However, none of these differential sites found has been verified in a larger sample. Here, our aim was to evaluate whether first trimester changes in target CpG sites in the peripheral blood of pregnancy women predict subsequent development of GDM. This nested case–control study was based upon an early pregnancy follow-up cohort (ChiCTR1900020652). Target CpG sites were extracted from related published literature and bioinformatics analysis. The DNA methylation levels at 337 CpG sites of 80 GDM cases and 80 matched healthy controls during the early pregnancy (10–15 weeks) were assessed using MethylTarget sequencing. The best cut-off level for methylation of CpG site was determined using the generated ROC curve. The independent effect of CpG site methylation status on GDM was analyzed using conditional logistic regression. Methylation levels at 6 CpG sites were significantly higher in the GDM group than in controls, whereas those at another 6 CpG sites were significantly lower (FDR < 0.05). The area under the ROC curve at each methylation level of the significant CpG sites ranged between 0.593 and 0.650 for the occurrence of GDM. After adjusting for possible confounders, the hypermethylation status of CpG site 68167324 (OR = 3.168, 1.038–9.666) and 24837915 (OR = 5.232, 1.659–16.506) was identified as more strongly associated with GDM; meanwhile, the hypermethylation of CpG site 157130156 (OR = 0.361, 0.135–0.966) and 89438648 (OR = 0.206, 0.065–0.655) might indicate lower risk of GDM. The methylation status of target CpG sites in the peripheral blood of pregnant women during the first trimester may be associated with GDM pathogenesis, and has potential as a predictor of GDM.
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Affiliation(s)
- Xiaolei Wang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Jin Huang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Yixiang Zheng
- Department of Infectious Diseases, Key Laboratory of Viral Hepatitis of Hunan, Xiangya Hospital, Central South University, Changsha City, Hunan Province, 410078, China
| | - Sisi Long
- Hospital Infection Control Center, The Second Xiangya Hospital, Central South University, Changsha City, Hunan Province, 410078, China
| | - Huijun Lin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Na Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Mengyuan Tian
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Xinrui Wu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Rongjing An
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China
| | - Shujuan Ma
- Reproductive and Genetic Hospital of CITIC-Xiangya, Clinical Research Center for Reproduction and Genetics in Hunan Province, Changsha City, Hunan Province, 410008, China.
| | - Hongzhuan Tan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China. .,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha City, Hunan Province, 410078, China.
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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.
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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
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28
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Canouil M, Khamis A, Keikkala E, Hummel S, Lobbens S, Bonnefond A, Delahaye F, Tzala E, Mustaniemi S, Vääräsmäki M, Jarvelin MR, Sebert S, Kajantie E, Froguel P, Andrew T. Epigenome-Wide Association Study Reveals Methylation Loci Associated With Offspring Gestational Diabetes Mellitus Exposure and Maternal Methylome. Diabetes Care 2021; 44:1992-1999. [PMID: 34116986 PMCID: PMC8740918 DOI: 10.2337/dc20-2960] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 04/26/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is associated with an increased risk of obesity and insulin resistance in offspring later in life, which might be explained by epigenetic changes in response to maternal hyperglycemic exposure. RESEARCH DESIGN AND METHODS We explored the association between GDM exposure and maternal blood and newborn cord blood methylation in 536 mother-offspring pairs from the prospective FinnGeDi cohort using Illumina MethylationEPIC 850K BeadChip arrays. We assessed two hypotheses. First, we tested for shared maternal and offspring epigenetic effects resulting from GDM exposure. Second, we tested whether GDM exposure and maternal methylation had an epigenetic effect on the offspring. RESULTS We did not find any epigenetic marks (differentially methylated CpG probes) with shared and consistent effects between mothers and offspring. After including maternal methylation in the model, we identified a single significant (false discovery rate 1.38 × 10-2) CpG at the cg22790973 probe (TFCP2) associated with GDM. We identified seven additional FDR-significant interactions of maternal methylation and GDM status, with the strongest association at the same cg22790973 probe (TFCP2), as well as cg03456133, cg24440941 (H3C6), cg20002843 (LOC127841), cg19107264, and cg11493553 located within the UBE3C gene and cg17065901 in FAM13A, both susceptibility genes for type 2 diabetes and BMI, and cg23355087 within the DLGAP2 gene, known to be involved in insulin resistance during pregnancy. CONCLUSIONS Our study reveals the potential complexity of the epigenetic transmission between mothers with GDM and their offspring, likely determined by not only GDM exposure but also other factors indicated by maternal epigenetic status, such as maternal metabolic history.
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Affiliation(s)
- Mickaël Canouil
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- Lille University Hospital, University of Lille, Lille, France
| | - Amna Khamis
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- Lille University Hospital, University of Lille, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Elina Keikkala
- Research Unit for Pediatrics, Pediatric Neurology, Pediatric Surgery, Child Psychiatry, Dermatology, Clinical Genetics, Obstetrics and Gynecology, Otorhinolaryngology and Ophthalmology (PEDEGO), Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sandra Hummel
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
- Forschergruppe Diabetes e.V., Munich-Neuherberg, Germany
| | - Stephane Lobbens
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- Lille University Hospital, University of Lille, Lille, France
| | - Amélie Bonnefond
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- Lille University Hospital, University of Lille, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Fabien Delahaye
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- Lille University Hospital, University of Lille, Lille, France
| | - Evangelia Tzala
- Department of Epidemiology and Biostatistics, Medical Research Council-Public Health England Centre for Environment and Health, School of Public Health, Imperial College London, London, U.K
| | - Sanna Mustaniemi
- Research Unit for Pediatrics, Pediatric Neurology, Pediatric Surgery, Child Psychiatry, Dermatology, Clinical Genetics, Obstetrics and Gynecology, Otorhinolaryngology and Ophthalmology (PEDEGO), Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Marja Vääräsmäki
- Research Unit for Pediatrics, Pediatric Neurology, Pediatric Surgery, Child Psychiatry, Dermatology, Clinical Genetics, Obstetrics and Gynecology, Otorhinolaryngology and Ophthalmology (PEDEGO), Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, Medical Research Council-Public Health England Centre for Environment and Health, School of Public Health, Imperial College London, London, U.K
- Center for Lifecourse Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, U.K
| | - Sylvain Sebert
- Center for Lifecourse Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Eero Kajantie
- Research Unit for Pediatrics, Pediatric Neurology, Pediatric Surgery, Child Psychiatry, Dermatology, Clinical Genetics, Obstetrics and Gynecology, Otorhinolaryngology and Ophthalmology (PEDEGO), Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Philippe Froguel
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- Lille University Hospital, University of Lille, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Toby Andrew
- Inserm U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France
- Lille University Hospital, University of Lille, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
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29
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Liu Y, Wang Z, Zhao L. Identification of diagnostic cytosine-phosphate-guanine biomarkers in patients with gestational diabetes mellitus via epigenome-wide association study and machine learning. Gynecol Endocrinol 2021; 37:857-862. [PMID: 34254540 DOI: 10.1080/09513590.2021.1937101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE To explore gestational diabetes mellitus (GDM) diagnostic markers and establish the predictive model of GDM. METHODS We downloaded the DNA methylation data of GSE70453 and GSE102177 from the Gene Expression Omnibus database. Epigenome-wide association study (EWAS) was performed to analyze the relationship between cytosine-phosphate-guanine (CpG) methylation and GDM. And then the logistic regression models were constructed, with the β-values of CpG sites as predictor variable and the GDM occurrence as binary outcome variable. Data from GSE70453 served as training sets and data from GSE102177 served as verification sets. RESULTS The EWAS and overlap analysis identified nine-shared significant CpGs in the two DNA methylation data sets. Remarkably, these nine CpGs were differently methylated in GDM samples compared to their matched normal specimens, among which five fully methylated CpGs were finally selected. Importantly, we established a binary logistic regression model based on the above five CpGs, in which cg11169102, cg21179618 and cg21620107 were critical. Hence, we further built a logistic regression model by using the three CpGs and found that the area under the curve was 0.8209. The validation of the model by using the verification sets indicated the area under the curve was 0.8519. CONCLUSIONS We identified potential CpG biomarkers for the diagnosis of gestational diabetes mellitus patients through using EWAS and Logistic regression models in combination.
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Affiliation(s)
- Yan Liu
- Department of Obstetrics, Tianjin First Central Hospital, Nankai University, Tianjin, China
| | - Zhenglu Wang
- Biobank, Tianjin First Central Hospital, Nankai University, Tianjin, China
| | - Lin Zhao
- Department of Obstetrics, Tianjin First Central Hospital, Nankai University, Tianjin, China
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30
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Kumar M, Saadaoui M, Elhag DA, Murugesan S, Al Abduljabbar S, Fagier Y, Ortashi O, Abdullahi H, Ibrahim I, Alberry M, Abbas A, Ahmed SR, Hendaus MA, Kalache K, Terranegra A, Al Khodor S. Omouma: a prospective mother and child cohort aiming to identify early biomarkers of pregnancy complications in women living in Qatar. BMC Pregnancy Childbirth 2021; 21:570. [PMID: 34412611 PMCID: PMC8377974 DOI: 10.1186/s12884-021-04029-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 07/29/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Pregnancy is governed by multiple molecular and cellular processes, which might influence pregnancy health and outcomes. Failure to predict and understand the cause of pregnancy complications, adverse pregnancy outcomes, infant's morbidity and mortality, have limited effective interventions. Integrative multi-omics technologies provide an unbiased platform to explore the complex molecular interactions with an unprecedented depth. The objective of the present protocol is to build a longitudinal mother-baby cohort and use multi-omics technologies to help identify predictive biomarkers of adverse pregnancy outcomes, early life determinants and their effect on child health. METHODS/DESIGN One thousand pregnant women with a viable pregnancy in the first trimester (6-14 weeks of gestation) will be recruited from Sidra Medicine hospital. All the study participants will be monitored every trimester, at delivery, and one-year post-partum. Serial high-frequency sampling, including blood, stool, urine, saliva, skin, and vaginal swabs (mother only) from the pregnant women and their babies, will be collected. Maternal and neonatal health, including mental health and perinatal growth, will be recorded using a combination of questionnaires, interviews, and medical records. Downstream sample processing including microbial profiling, vaginal immune response, blood transcriptomics, epigenomics, and metabolomics will be performed. DISCUSSION It is expected that the present study will provide valuable insights into predicting pregnancy complications and neonatal health outcomes. Those include whether specific microbial and/or epigenomics signatures, immune profiles are associated with a healthy pregnancy and/or complicated pregnancy and poor neonatal health outcome. Moreover, this non-interventional cohort will also serve as a baseline dataset to understand how familial, socioeconomic, environmental and lifestyle factors interact with genetic determinants to influence health outcomes later in life. These findings will hold promise for the diagnosis and precision-medicine interventions.
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Affiliation(s)
- Manoj Kumar
- Research Department, Sidra Medicine, Doha, Qatar
| | | | | | | | | | - Yassin Fagier
- Obstetrics and Gynecology, Sidra Medicine, Doha, Qatar
| | - Osman Ortashi
- Obstetrics and Gynecology, Sidra Medicine, Doha, Qatar
| | | | | | | | - Anthony Abbas
- Maternal Fetal Medicine, Sidra Medicine, Doha, Qatar
| | | | | | - Karim Kalache
- Maternal Fetal Medicine, Sidra Medicine, Doha, Qatar
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Epigenetic Changes in Gestational Diabetes Mellitus. Int J Mol Sci 2021; 22:ijms22147649. [PMID: 34299269 PMCID: PMC8303885 DOI: 10.3390/ijms22147649] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/30/2021] [Accepted: 07/14/2021] [Indexed: 12/30/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance that appears or is for the first time diagnosed during pregnancy. It can lead to many complications in the mother and in the offspring, so diagnostics and management of GDM are important to avoid adverse pregnancy outcomes. Epigenetic studies revealed the different methylation status of genes in pregnancies with GDM compared to pregnancies without GDM. A growing body of evidence shows that the GDM can affect not only the course of the pregnancy, but also the development of the offspring, thus contributing to long-term effects and adverse health outcomes of the progeny. Epigenetic changes occur through histone modification, DNA methylation, and disrupted function of non-coding ribonucleic acid (ncRNA) including microRNAs (miRNAs). In this review, we focus on the recent knowledge about epigenetic changes in GDM. The analysis of this topic may help us to understand pathophysiological mechanisms in GDM and find a solution to prevent their consequences.
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32
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Danielewicz H, Gurgul A, Dębińska A, Myszczyszyn G, Szmatoła T, Myszkal A, Jasielczuk I, Drabik-Chamerska A, Hirnle L, Boznański A. Maternal atopy and offspring epigenome-wide methylation signature. Epigenetics 2021; 16:629-641. [PMID: 32902349 PMCID: PMC8143219 DOI: 10.1080/15592294.2020.1814504] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 07/18/2020] [Accepted: 08/10/2020] [Indexed: 12/18/2022] Open
Abstract
The increase in the prevalence of allergic diseases is believed to partially depend on environmental changes. DNA methylation is a major epigenetic mechanism, which is known to respond to environmental factors. A number of studies have revealed that patterns of DNA methylation may potentially predict allergic diseases.Here, we examined how maternal atopy is associated with methylation patterns in the cord blood of neonates.We conducted an epigenome-wide association study in a cohort of 96 mother-child pairs. Pregnant women aged not more than 35 years old, not currently smoking or exposed to environmental tobacco smoke, who did not report obesity before conception were considered eligible. They were further tested for atopy. Converted DNA from cord blood was analysed using Infinium MethylationEPIC; for statistical analysis, RnBeads software was applied. Gestational age and sex were included as covariates in the final analysis.83 DM sites were associated with maternal atopy. Within the top DM sites, there were CpG sites which mapped to genes SCD, ITM2C, NT5C3A and NPEPL1. Regional analysis revealed 25 tiling regions, 4 genes, 3 CpG islands and 5 gene promoters, (including PIGCP1, ADAM3A, ZSCAN12P1) associated with maternal atopy. Gene content analysis revealed pointwise enrichments in pathways related to purine-containing compound metabolism, the G1/S transition of the mitotic cell cycle, stem cell division and cellular glucose homoeostasis.These findings suggest that maternal atopy provides a unique intrauterine environment that may constitute the first environment in which exposure is associated with methylation patterns in newborn.
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Affiliation(s)
- Hanna Danielewicz
- 1st Department of Pediatrics, Allergy and Cardiology, Wroclaw Medical University, Wroclaw, Poland
| | - Artur Gurgul
- Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Kraków, Poland
| | - Anna Dębińska
- 1st Department of Pediatrics, Allergy and Cardiology, Wroclaw Medical University, Wroclaw, Poland
| | - Grzegorz Myszczyszyn
- 1st Department of Gynecology and Obstetrics, Wroclaw Medical University, Wroclaw, Poland
| | - Tomasz Szmatoła
- Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Kraków, Poland
| | - Anna Myszkal
- 1st Department of Gynecology and Obstetrics, University Hospital of Jan Mikulicz-Radecki in Wroclaw, Wroclaw, Poland
| | - Igor Jasielczuk
- Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Kraków, Poland
| | - Anna Drabik-Chamerska
- 1st Department of Pediatrics, Allergy and Cardiology, Wroclaw Medical University, Wroclaw, Poland
| | - Lidia Hirnle
- 1st Department of Gynecology and Obstetrics, Wroclaw Medical University, Wroclaw, Poland
| | - Andrzej Boznański
- 1st Department of Pediatrics, Allergy and Cardiology, Wroclaw Medical University, Wroclaw, Poland
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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.
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Awamleh Z, Butcher DT, Hanley A, Retnakaran R, Haertle L, Haaf T, Hamilton J, Weksberg R. Exposure to Gestational Diabetes Mellitus (GDM) alters DNA methylation in placenta and fetal cord blood. Diabetes Res Clin Pract 2021; 174:108690. [PMID: 33549677 DOI: 10.1016/j.diabres.2021.108690] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 01/14/2021] [Accepted: 01/25/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Fetal exposure to maternal GDM increases offspring risk for adult-onset metabolic syndromes. Epigenetic modifications such as DNA methylation are modulators for fetal metabolic programming and susceptibility to adult-onset disease. This study investigates genome-wide DNA methylation in GDM exposed cord blood and placenta. METHODS Oral glucose tolerance testing between 24 and 28 weeks of pregnancy was used to determine severity of glucose intolerance. We measured DNA methylation (DNAm) using the Illumina Infinium 450 K array in 42 fetal cord blood and 36 placenta samples. RESULTS We identified 662 and 99 CpG sites in GDM placenta and cord blood, respectively at p-value <0.01 and a methylation difference >5% after adjustment for confounders. Annotated sites for AHRR and PTPRN2 were common to cord blood and placenta. Adding published GDM cord blood DNAm data we segregated patients based on treatment (Diet Only vs. +Insulin) and identified altered CpG sites to be unique to each GDM treatment group. CONCLUSION Consistency in findings with other studies provides evidence for the role of DNAm in placental and fetal responses to hyperglycemia. However, segregating DNAm analysis of GDM samples based on treatment may help delineate whether observed DNAm alterations are reflective of adaptive responses or treatment effects in utero.
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Affiliation(s)
- Zain Awamleh
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Darci T Butcher
- Head of Molecular Genomics, Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences, Hamilton, Ontario, Canada; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Anthony Hanley
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada; Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Larissa Haertle
- Institute of Human Genetics, Julius Maximilians University, Würzburg, Germany; Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Thomas Haaf
- Institute of Human Genetics, Julius Maximilians University, Würzburg, Germany
| | - Jill Hamilton
- Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada; Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.
| | - Rosanna Weksberg
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada; Division of Clinical and Metabolic Genetics, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, School of Graduate Studies, University of Toronto, Toronto, Ontario, Canada.
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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: 12] [Impact Index Per Article: 4.0] [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.
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Juvinao-Quintero DL, Starling AP, Cardenas A, Powe CE, Perron P, Bouchard L, Dabelea D, Hivert MF. Epigenome-wide association study of maternal hemoglobin A1c in pregnancy and cord blood DNA methylation. Epigenomics 2021; 13:203-218. [PMID: 33406918 DOI: 10.2217/epi-2020-0279] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Background: Gestational hyperglycemia is associated with adverse perinatal outcomes and long-term offspring metabolic programming, likely through dysregulation of DNA methylation (DNAm). Materials & methods: We tested associations between maternal HbA1c and cord blood DNAm among 412 mother-child pairs in the genetics of glucose regulation in gestation and growth (Gen3G) and implemented Mendelian randomization to infer causality. We sought replication in an independent sample from Healthy Start. Results: Higher second trimester HbA1c levels were associated with lower DNAm at cg21645848 (p = 3.9 × 10-11) near URGCP. Mendelian randomization and replication analyses showed same direction of effect between HbA1c and DNAm at cg21645848, but did not reach statistical significance. Conclusion: We found that higher maternal glycemia reflected by HbA1c is associated with cord blood DNAm at URGCP, a gene related with inflammatory pathways.
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Affiliation(s)
- Diana L Juvinao-Quintero
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Anne P Starling
- Department of Epidemiology & Lifecourse Epidemiology of Adiposity & Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, CO 80045, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health & Center for Computational Biology, University of California, Berkeley, CA 94720-7360, USA
| | - Camille E Powe
- Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA.,Harvard Medical School, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Patrice Perron
- Centre de Recherche du CHUS, Sherbrooke, QC J1H 5N4, CA.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Luigi Bouchard
- Centre de Recherche du CHUS, Sherbrooke, QC J1H 5N4, CA.,Department of Medical Biology, CIUSSS Saguenay-Lac-Saint-Jean, Hôpital Universitaire de Chicoutimi, Saguenay, QC G7H 5H6, Canada.,Department of Biochemistry & Functional Genomics, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Dana Dabelea
- Department of Epidemiology & Lifecourse Epidemiology of Adiposity & Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, CO 80045, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA.,Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA
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Kasuga Y, Kawai T, Miyakoshi K, Saisho Y, Tamagawa M, Hasegawa K, Ikenoue S, Ochiai D, Hida M, Tanaka M, Hata K. Epigenetic Changes in Neonates Born to Mothers With Gestational Diabetes Mellitus May Be Associated With Neonatal Hypoglycaemia. Front Endocrinol (Lausanne) 2021; 12:690648. [PMID: 34267729 PMCID: PMC8276691 DOI: 10.3389/fendo.2021.690648] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 06/01/2021] [Indexed: 12/28/2022] Open
Abstract
The detection of epigenetic changes associated with neonatal hypoglycaemia may reveal the pathophysiology and predict the onset of future diseases in offspring. We hypothesized that neonatal hypoglycaemia reflects the in utero environment associated with maternal gestational diabetes mellitus. The aim of this study was to identify epigenetic changes associated with neonatal hypoglycaemia. The association between DNA methylation using Infinium HumanMethylation EPIC BeadChip and neonatal plasma glucose (PG) level at 1 h after birth in 128 offspring born at term to mothers with well-controlled gestational diabetes mellitus was investigated by robust linear regression analysis. Cord blood DNA methylation at 12 CpG sites was significantly associated with PG at 1 h after birth after adding infant sex, delivery method, gestational day, and blood cell compositions as covariates to the regression model. DNA methylation at two CpG sites near an alternative transcription start site of ZNF696 was significantly associated with the PG level at 1 h following birth (false discovery rate-adjusted P < 0.05). Methylation levels at these sites increased as neonatal PG levels at 1 h after birth decreased. In conclusion, gestational diabetes mellitus is associated with DNA methylation changes at the alternative transcription start site of ZNF696 in cord blood cells. This is the first report of DNA methylation changes associated with neonatal PG at 1 h after birth.
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Affiliation(s)
- Yoshifumi Kasuga
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - Tomoko Kawai
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan
- *Correspondence: Kenichiro Hata, ; Tomoko Kawai,
| | - Kei Miyakoshi
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Yoshifumi Saisho
- Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Masumi Tamagawa
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Keita Hasegawa
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - Satoru Ikenoue
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Daigo Ochiai
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Mariko Hida
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Mamoru Tanaka
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Kenichiro Hata
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan
- *Correspondence: Kenichiro Hata, ; Tomoko Kawai,
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Facchinetti F, Cavalli P, Copp AJ, D’Anna R, Kandaraki E, Greene NDE, Unfer V. An update on the use of inositols in preventing gestational diabetes mellitus (GDM) and neural tube defects (NTDs). Expert Opin Drug Metab Toxicol 2020; 16:1187-1198. [PMID: 32966143 PMCID: PMC7614183 DOI: 10.1080/17425255.2020.1828344] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Obstetric history and maternal body composition and lifestyle may be associated with serious complications both for the mother, such as gestational diabetes mellitus (GDM), and for the fetus, including congenital malformations such as neural tube defects (NTDs). AREAS COVERED In view of the recent knowledge, changes in nutritional and physical activity habits ameliorate glycemic control during pregnancy and in turn improve maternal and neonatal health outcomes. Recently, a series of small clinical and experimental studies indicated that supplemenation with inositols, a family of insulin sensitizers, was associated with beneficial impact for both GDM and NTDs. EXPERT OPINION Herein, we discuss the most significant scientific evidence supporting myo-inositol administration as a prophylaxis for the above-mentioned conditions.
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Affiliation(s)
- Fabio Facchinetti
- Unit of Obstetrics and Gynecology, Mother-Infant Department, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Andrew J. Copp
- Newlife Birth Defects Research Centre and Developmental Biology & Cancer Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Rosario D’Anna
- Department of Human Pathology, University of Messina, Messina, Italy
| | - Eleni Kandaraki
- Department of Endocrinology & Diabetes, HYGEIA Hospital, Marousi, Athens, Greece
| | - Nicholas D. E. Greene
- Newlife Birth Defects Research Centre and Developmental Biology & Cancer Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Vittorio Unfer
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
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Parrettini S, Caroli A, Torlone E. Nutrition and Metabolic Adaptations in Physiological and Complicated Pregnancy: Focus on Obesity and Gestational Diabetes. Front Endocrinol (Lausanne) 2020; 11:611929. [PMID: 33424775 PMCID: PMC7793966 DOI: 10.3389/fendo.2020.611929] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 11/02/2020] [Indexed: 12/14/2022] Open
Abstract
Pregnancy offers a window of opportunity to program the future health of both mothers and offspring. During gestation, women experience a series of physical and metabolic modifications and adaptations, which aim to protect the fetus development and are closely related to both pre-gestational nutritional status and gestational weight gain. Moreover, pre-gestational obesity represents a challenge of treatment, and nowadays there are new evidence as regard its management, especially the adequate weight gain. Recent evidence has highlighted the determinant role of nutritional status and maternal diet on both pregnancy outcomes and long-term risk of chronic diseases, through a transgenerational flow, conceptualized by the Development Origin of Health and Diseases (Dohad) theory. In this review we will analyse the physiological and endocrine adaptation in pregnancy, and the metabolic complications, thus the focal points for nutritional and therapeutic strategies that we must early implement, virtually before conception, to safeguard the health of both mother and progeny. We will summarize the current nutritional recommendations and the use of nutraceuticals in pregnancy, with a focus on the management of pregnancy complicated by obesity and hyperglycemia, assessing the most recent evidence about the effects of ante-natal nutrition on the long-term, on either maternal health or metabolic risk of the offspring.
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Affiliation(s)
- Sara Parrettini
- S. Maria della Misericordia Hospital, Division of Endocrinology and Metabolism, Perugia, Italy
- Department of Medicine, University of Perugia, Perugia, Italy
| | - Antonella Caroli
- S. Maria della Misericordia Hospital, Division of Endocrinology and Metabolism, Perugia, Italy
- Department of Medicine, University of Perugia, Perugia, Italy
| | - Elisabetta Torlone
- S. Maria della Misericordia Hospital, Division of Endocrinology and Metabolism, Perugia, Italy
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40
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Smyth LJ, Patterson CC, Swan EJ, Maxwell AP, McKnight AJ. DNA Methylation Associated With Diabetic Kidney Disease in Blood-Derived DNA. Front Cell Dev Biol 2020; 8:561907. [PMID: 33178681 PMCID: PMC7593403 DOI: 10.3389/fcell.2020.561907] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 09/15/2020] [Indexed: 12/23/2022] Open
Abstract
A subset of individuals with type 1 diabetes will develop diabetic kidney disease (DKD). DKD is heritable and large-scale genome-wide association studies have begun to identify genetic factors that influence DKD. Complementary to genetic factors, we know that a person’s epigenetic profile is also altered with DKD. This study reports analysis of DNA methylation, a major epigenetic feature, evaluating methylome-wide loci for association with DKD. Unique features (n = 485,577; 482,421 CpG probes) were evaluated in blood-derived DNA from carefully phenotyped White European individuals diagnosed with type 1 diabetes with (cases) or without (controls) DKD (n = 677 samples). Explicitly, 150 cases were compared to 100 controls using the 450K array, with subsequent analysis using data previously generated for a further 96 cases and 96 controls on the 27K array, and de novo methylation data generated for replication in 139 cases and 96 controls. Following stringent quality control, raw data were quantile normalized and beta values calculated to reflect the methylation status at each site. The difference in methylation status was evaluated between cases and controls; resultant P-values for array-based data were adjusted for multiple testing. Genes with significantly increased (hypermethylated) and/or decreased (hypomethylated) levels of DNA methylation were considered for biological relevance by functional enrichment analysis using KEGG pathways. Twenty-two loci demonstrated statistically significant fold changes associated with DKD and additional support for these associated loci was sought using independent samples derived from patients recruited with similar inclusion criteria. Markers associated with CCNL1 and ZNF187 genes are supported as differentially regulated loci (P < 10–8), with evidence also presented for AFF3, which has been identified from a meta-analysis and subsequent replication of genome-wide association studies. Further supporting evidence for differential gene expression in CCNL1 and ZNF187 is presented from kidney biopsy and blood-derived RNA in people with and without kidney disease from NephroSeq. Evidence confirming that methylation sites influence the development of DKD may aid risk prediction tools and stimulate research to identify epigenomic therapies which might be clinically useful for this disease.
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Affiliation(s)
- Laura J Smyth
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | | | - Elizabeth J Swan
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Alexander P Maxwell
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom.,Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom
| | - Amy Jayne McKnight
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
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Antoun E, Kitaba NT, Titcombe P, Dalrymple KV, Garratt ES, Barton SJ, Murray R, Seed PT, Holbrook JD, Kobor MS, Lin DTS, MacIsaac JL, Burdge GC, White SL, Poston L, Godfrey KM, Lillycrop KA. Maternal dysglycaemia, changes in the infant's epigenome modified with a diet and physical activity intervention in pregnancy: Secondary analysis of a randomised control trial. PLoS Med 2020; 17:e1003229. [PMID: 33151971 PMCID: PMC7643947 DOI: 10.1371/journal.pmed.1003229] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 10/06/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Higher maternal plasma glucose (PG) concentrations, even below gestational diabetes mellitus (GDM) thresholds, are associated with adverse offspring outcomes, with DNA methylation proposed as a mediating mechanism. Here, we examined the relationships between maternal dysglycaemia at 24 to 28 weeks' gestation and DNA methylation in neonates and whether a dietary and physical activity intervention in pregnant women with obesity modified the methylation signatures associated with maternal dysglycaemia. METHODS AND FINDINGS We investigated 557 women, recruited between 2009 and 2014 from the UK Pregnancies Better Eating and Activity Trial (UPBEAT), a randomised controlled trial (RCT), of a lifestyle intervention (low glycaemic index (GI) diet plus physical activity) in pregnant women with obesity (294 contol, 263 intervention). Between 27 and 28 weeks of pregnancy, participants had an oral glucose (75 g) tolerance test (OGTT), and GDM diagnosis was based on diagnostic criteria recommended by the International Association of Diabetes and Pregnancy Study Groups (IADPSG), with 159 women having a diagnosis of GDM. Cord blood DNA samples from the infants were interrogated for genome-wide DNA methylation levels using the Infinium Human MethylationEPIC BeadChip array. Robust regression was carried out, adjusting for maternal age, smoking, parity, ethnicity, neonate sex, and predicted cell-type composition. Maternal GDM, fasting glucose, 1-h, and 2-h glucose concentrations following an OGTT were associated with 242, 1, 592, and 17 differentially methylated cytosine-phosphate-guanine (dmCpG) sites (false discovery rate (FDR) ≤ 0.05), respectively, in the infant's cord blood DNA. The most significantly GDM-associated CpG was cg03566881 located within the leucine-rich repeat-containing G-protein coupled receptor 6 (LGR6) (FDR = 0.0002). Moreover, we show that the GDM and 1-h glucose-associated methylation signatures in the cord blood of the infant appeared to be attenuated by the dietary and physical activity intervention during pregnancy; in the intervention arm, there were no GDM and two 1-h glucose-associated dmCpGs, whereas in the standard care arm, there were 41 GDM and 160 1-h glucose-associated dmCpGs. A total of 87% of the GDM and 77% of the 1-h glucose-associated dmCpGs had smaller effect sizes in the intervention compared to the standard care arm; the adjusted r2 for the association of LGR6 cg03566881 with GDM was 0.317 (95% confidence interval (CI) 0.012, 0.022) in the standard care and 0.240 (95% CI 0.001, 0.015) in the intervention arm. Limitations included measurement of DNA methylation in cord blood, where the functional significance of such changes are unclear, and because of the strong collinearity between treatment modality and severity of hyperglycaemia, we cannot exclude that treatment-related differences are potential confounders. CONCLUSIONS Maternal dysglycaemia was associated with significant changes in the epigenome of the infants. Moreover, we found that the epigenetic impact of a dysglycaemic prenatal maternal environment appeared to be modified by a lifestyle intervention in pregnancy. Further research will be needed to investigate possible medical implications of the findings. TRIAL REGISTRATION ISRCTN89971375.
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Affiliation(s)
- Elie Antoun
- Biological Sciences, Institute of Developmental Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, United Kingdom
| | - Negusse T. Kitaba
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Philip Titcombe
- MRC Lifecourse Epidemiology Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Kathryn V. Dalrymple
- Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, London, United Kingdom
| | - Emma S. Garratt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Trust, Southampton, United Kingdom
| | - Sheila J. Barton
- MRC Lifecourse Epidemiology Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Robert Murray
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Paul T. Seed
- Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, London, United Kingdom
| | - Joanna D. Holbrook
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Michael S. Kobor
- BC Childrens Hospital Research Institute, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, Canada
| | - David TS Lin
- BC Childrens Hospital Research Institute, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, Canada
| | - Julia L. MacIsaac
- BC Childrens Hospital Research Institute, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, Canada
| | - Graham C. Burdge
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Sara L. White
- Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, London, United Kingdom
| | - Lucilla Poston
- Department of Women and Children’s Health, School of Life Course Sciences, King’s College London, London, United Kingdom
| | - Keith M. Godfrey
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Trust, Southampton, United Kingdom
| | - Karen A. Lillycrop
- Biological Sciences, Institute of Developmental Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Trust, Southampton, United Kingdom
- * E-mail:
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Berberine improves insulin resistance in adipocyte models by regulating the methylation of hypoxia-inducible factor-3α. Biosci Rep 2020; 39:220717. [PMID: 31652442 PMCID: PMC6822485 DOI: 10.1042/bsr20192059] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 09/20/2019] [Accepted: 09/30/2019] [Indexed: 12/31/2022] Open
Abstract
Methylation of hypoxia-inducible factor-3α (HIF3A) was previously demonstrated to be highly associated with insulin resistance (IR) in patients with gestational diabetes mellitus (GDM). We aimed to study the therapeutic effects of Berberine (BBR) on GDM and the possible mechanisms. The expressions and methylated states of HIF3A in pregnant women with GDM were compared with that in healthy controls. The IR cell models of 3T3-L1 adipocytes was constructed by 1 μmol/l dexamethasone (Dex) and 1 μmol/l insulin (Ins). To evaluate the effects of BBR on IR adipocyte models, cells were subjected to BBR treatment at different concentrations. Transfection of HIF3A siRNA further confirmed the role of HIF3A in the BBR-induced improving effects. Low expression and high methylation of HIF3A gene were frequent in the GDM pregnancies. BBR treatment noticeably increased the glucose usage rates, adiponectin secretion and cell differentiation of IR 3T3-L1 adipocytes. Increased HIF3A expression and decreased methylated state of HIF3A were also found in IR adipocytes. Furthermore, HIF3A silencing not only reversed the effects of BBR on improving insulin sensibility, but also partially abolished the expression alterations of insulin-related genes in IR adipocytes induced by BBR treatment. Our results suggest that BBR improves insulin sensibility in IR adipocyte models, and the improving effects of BBR are possibly realized through the inhibition of HIF3A methylation.
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Geurtsen ML, Jaddoe VWV, Gaillard R, Felix JF. Associations of maternal early-pregnancy blood glucose and insulin concentrations with DNA methylation in newborns. Clin Epigenetics 2020; 12:134. [PMID: 32894192 PMCID: PMC7487846 DOI: 10.1186/s13148-020-00924-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 08/25/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Intrauterine exposure to a disturbed maternal glucose metabolism is associated with adverse offspring outcomes. DNA methylation is a potential mechanism underlying these associations. We examined whether maternal early-pregnancy glucose and insulin concentrations are associated with newborn DNA methylation. In a population-based prospective cohort study among 935 pregnant women, maternal plasma concentrations of non-fasting glucose and insulin were measured at a median of 13.1 weeks of gestation (95% range 9.4-17.4). DNA methylation was measured using the Infinium HumanMethylation450 BeadChip (Ilumina). We analyzed associations of maternal early-pregnancy glucose and insulin concentrations with single-CpG DNA methylation using robust linear regression models. Differentially methylated regions were analyzed using the dmrff package in R. We stratified the analyses on normal weight versus overweight or obese women. We also performed a look-up of CpGs and differently methylated regions from previous studies to be associated with maternal gestational diabetes, hyperglycemia or hyperinsulinemia, or with type 2 diabetes in adults. RESULTS Maternal early-pregnancy glucose and insulin concentrations were not associated with DNA methylation at single CpGs nor with differentially methylated regions in the total group. In analyses stratified on maternal BMI, maternal early-pregnancy glucose concentrations were associated with DNA methylation at one CpG (cg03617420, XKR6) among normal weight women and at another (cg12081946, IL17D) among overweight or obese women. No stratum-specific associations were found for maternal early-pregnancy insulin concentrations. The two CpGs were not associated with birth weight or childhood glycemic measures (p values > 0.1). Maternal early-pregnancy insulin concentrations were associated with one CpG known to be related to adult type 2 diabetes. Enrichment among nominally significant findings in our maternal early-pregnancy glucose concentrations was found for CpGs identified in a previous study on adult type 2 diabetes. CONCLUSIONS Maternal early-pregnancy glucose concentrations, but not insulin concentrations, were associated with DNA methylation at one CpG each in the subgroups of normal weight and of overweight or obese women. No associations were present in the full group. The role of these CpGs in mechanisms underlying offspring health outcomes needs further study. Future studies should replicate our results in larger samples with early-pregnancy information on maternal fasting glucose metabolism.
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Affiliation(s)
- Madelon L Geurtsen
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands.
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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44
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Mansell T, Burgner D, Ponsonby AL, Collier F, Pezic A, Vuillermin P, Juonala M, Ryan J, Saffery R. HIF3A cord blood methylation and systolic blood pressure at 4 years - a population-based cohort study. Epigenetics 2020; 15:1361-1369. [PMID: 32530724 DOI: 10.1080/15592294.2020.1781027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Methylation levels at the hypoxia-inducible factor 3α gene (HIF3A) in blood have been linked to body mass index (BMI) in adults. Despite evidence implicating HIF3A in angiogenesis and metabolism, no studies have examined links between HIF3A methylation in early life and cardiovascular health. Here, we investigated the relationship between HIF3A methylation in blood at birth and 12 months of age with cardiovascular measures at 4 years. We also examined influences of prenatal exposures, birth outcomes, and genetic variation. Methylation of two HIF3A promoter regions in cord blood was measured using Sequenom EpiTYPER mass-spectrometry. The first promoter region was also measured in 12-month blood. Four-year cardiovascular measures included blood pressure, pulse wave velocity, and aortic and carotid intima-media thickness. Associations were tested using partial correlation tests and linear regression modelling. Methylation of the first HIF3A promoter in cord and 12-month blood was not associated with four-year measures. There was modest evidence of an association between DNA methylation at the second HIF3A promoter in cord blood and four-year systolic blood pressure (n = 353, r = 0.12, p = 0.03). In sex-stratified analysis, methylation of the second promoter was modestly associated with systolic and diastolic blood pressure (r = 0.16, p = 0.03 for both) in males only. In conclusion, HIF3A methylation at birth shows some evidence of an association with later blood pressure in childhood. Further work should determine whether this relationship persists into later childhood, and should assess potential functional links between HIF3A methylation and cardiovascular health more generally.
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Affiliation(s)
- Toby Mansell
- Murdoch Children's Research Institute , Parkville, Australia.,Department of Paediatrics, University of Melbourne , Parkville, Australia
| | - David Burgner
- Murdoch Children's Research Institute , Parkville, Australia.,Department of Paediatrics, University of Melbourne , Parkville, Australia.,Department of Paediatrics, Monash University , Clayton, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute , Parkville, Australia.,Department of Paediatrics, University of Melbourne , Parkville, Australia.,Neuroepidemiology Research Group, The Florey Institute of Neuroscience and Mental Health , Parkville, Australia
| | - Fiona Collier
- Murdoch Children's Research Institute , Parkville, Australia.,School of Medicine, Deakin University , Geelong, Australia.,Child Health Research Unit, Barwon Health , Geelong, Australia
| | - Angela Pezic
- Murdoch Children's Research Institute , Parkville, Australia
| | - Peter Vuillermin
- Murdoch Children's Research Institute , Parkville, Australia.,School of Medicine, Deakin University , Geelong, Australia.,Child Health Research Unit, Barwon Health , Geelong, Australia
| | - Markus Juonala
- Murdoch Children's Research Institute , Parkville, Australia.,Department of Medicine, University of Turku , Turku, Finland.,Division of Medicine, Turku University Hospital , Turku, Finland
| | - Joanne Ryan
- Murdoch Children's Research Institute , Parkville, Australia.,School of Public Health & Preventive Medicine, Monash University , Melbourne, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute , Parkville, Australia.,Department of Paediatrics, University of Melbourne , Parkville, Australia
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45
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Mormile R. Birth weight and risk of thyroid cancer in later life: the fetal reprogramming of miR-21 and survivin gene expression? Arch Gynecol Obstet 2020; 301:867-868. [PMID: 32144572 DOI: 10.1007/s00404-020-05484-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Raffaella Mormile
- Division of Pediatrics and Neonatology, Moscati Hospital, Via A. Gramsci, 81031, Aversa, Italy.
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46
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Integrated metabolome analysis reveals novel connections between maternal fecal metabolome and the neonatal blood metabolome in women with gestational diabetes mellitus. Sci Rep 2020; 10:3660. [PMID: 32107447 PMCID: PMC7046769 DOI: 10.1038/s41598-020-60540-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 02/13/2020] [Indexed: 12/11/2022] Open
Abstract
Gestational Diabetes Mellitus (GDM), which is correlated with changes in the gut microbiota, is a risk factor for neonatal inborn errors of metabolism (IEMs). Maternal hyperglycemia exerts epigenetic effects on genes that encode IEM-associated enzymes, resulting in changes in the neonatal blood metabolome. However, the relationship between maternal gut microbiota and the neonatal blood metabolome remains poorly understood. This study aimed at understanding the connections between maternal gut microbiota and the neonatal blood metabolome in GDM. 1H-NMR-based untargeted metabolomics was performed on maternal fecal samples and targeted metabolomics on the matched neonatal dry blood spots from a cohort of 40 pregnant women, including 22 with GDM and 18 controls. Multi-omic association methods (including Co-Inertia Analysis and Procrustes Analysis) were applied to investigate the relationship between maternal fecal metabolome and the neonatal blood metabolome. Both maternal fecal metabolome and the matched neonatal blood metabolome could be separated along the vector of maternal hyperglycemia. A close relationship between the maternal and neonatal metabolomes was observed by multi-omic association approaches. Twelve out of thirty-two maternal fecal metabolites with altered abundances from 872 1H- NMR features (Bonferroni-adjusted P < 0.05) in women with GDM and the controls were identified, among which 8 metabolites contribute (P < 0.05 in a 999-step permutation test) to the close connection between maternal and the neonatal metabolomes in GDM. Four of these eight maternal fecal metabolites, including lysine, putrescine, guanidinoacetate, and hexadecanedioate, were negatively associated (Spearman rank correlation, coefficient value < −0.6, P < 0.05) with maternal hyperglycemia. Biotin metabolism was enriched (Bonferroni-adjusted P < 0.05 in the hypergeometric test) with the four-hyperglycemia associated fecal metabolites. The results of this study suggested that maternal fecal metabolites contribute to the connections between maternal fecal metabolome and the neonatal blood metabolome and may further affect the risk of IEMs.
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47
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Du Q, de la Morena MT, van Oers NSC. The Genetics and Epigenetics of 22q11.2 Deletion Syndrome. Front Genet 2020; 10:1365. [PMID: 32117416 PMCID: PMC7016268 DOI: 10.3389/fgene.2019.01365] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 12/12/2019] [Indexed: 12/19/2022] Open
Abstract
Chromosome 22q11.2 deletion syndrome (22q11.2del) is a complex, multi-organ disorder noted for its varying severity and penetrance among those affected. The clinical problems comprise congenital malformations; cardiac problems including outflow tract defects, hypoplasia of the thymus, hypoparathyroidism, and/or dysmorphic facial features. Additional clinical issues that can appear over time are autoimmunity, renal insufficiency, developmental delay, malignancy and neurological manifestations such as schizophrenia. The majority of individuals with 22q11.2del have a 3 Mb deletion of DNA on chromosome 22, leading to a haploinsufficiency of ~106 genes, which comprise coding RNAs, noncoding RNAs, and pseudogenes. The consequent haploinsufficiency of many of the coding genes are well described, including the key roles of T-box Transcription Factor 1 (TBX1) and DiGeorge Critical Region 8 (DGCR8) in the clinical phenotypes. However, the haploinsufficiency of these genes alone cannot account for the tremendous variation in the severity and penetrance of the clinical complications among those affected. Recent RNA and DNA sequencing approaches are uncovering novel genetic and epigenetic differences among 22q11.2del patients that can influence disease severity. In this review, the role of coding and non-coding genes, including microRNAs (miRNA) and long noncoding RNAs (lncRNAs), will be discussed in relation to their bearing on 22q11.2del with an emphasis on TBX1.
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Affiliation(s)
- Qiumei Du
- Department of Immunology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - M. Teresa de la Morena
- Department of Pediatrics, The University of Washington and Seattle Children’s Hospital, Seattle, WA, United States
| | - Nicolai S. C. van Oers
- Department of Immunology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
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48
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Dalfrà MG, Burlina S, Del Vescovo GG, Lapolla A. Genetics and Epigenetics: New Insight on Gestational Diabetes Mellitus. Front Endocrinol (Lausanne) 2020; 11:602477. [PMID: 33335512 PMCID: PMC7736606 DOI: 10.3389/fendo.2020.602477] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/02/2020] [Indexed: 12/11/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is the most common metabolic complication of pregnancy, with a prevalence that has increased significantly in the last decade, coming to affect 12-18% of all pregnancies. GDM is believed to be the result of a combination of genetic, epigenetic and environmental factors. Following the identification of susceptibility genes for type 2 diabetes by means of genome-wide association studies, an association has also been demonstrated between some type 2 diabetes susceptibility genes and GDM, suggesting a partial similarity of the genetic architecture behind the two forms of diabetes. More recent genome-wide association studies, focusing on maternal metabolism during pregnancy, have demonstrated an overlap in the genes associated with metabolic traits in gravid and non-gravid populations, as well as in genes apparently unique to pregnancy. Epigenetic changes-such as DNA methylation, histone modifications and microRNA gene silencing-have also been identified in GDM patients. Metabolomics has been used to profile the metabolic state of women during pregnancy, based on the measurement of numerous low-molecular-weight metabolites. Measuring amino acids and conventional metabolites has revealed changes in pregnant women with a higher insulin resistance and high blood glucose levels that resemble the changes seen in non-gravid, insulin-resistant populations. This would suggest similarities in the metabolic profiles typical of insulin resistance and hyperglycemia whether individuals are pregnant or not. Future studies combining data obtained using multiple technologies will enable an integrated systems biology approach to maternal metabolism during a pregnancy complicated by GDM. This review highlights the recent knowledge on the impact of genetics and epigenetics in the pathophysiology of GDM and the maternal and fetal complications associated with this pathology condition.
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49
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Howe CG, Cox B, Fore R, Jungius J, Kvist T, Lent S, Miles HE, Salas LA, Rifas-Shiman S, Starling AP, Yousefi P, Ladd-Acosta C, Baccarelli A, Binder EB, Chatzi VL, Czamara D, Dabelea D, DeMeo DL, Ghantous A, Herceg Z, Kajantie E, Lahti JMT, Lawlor DA, Litonjua A, Nawrot TS, Nohr EA, Oken E, Pizzi C, Plusquin M, Räikkönen K, Relton CL, Sharp GC, Sørensen TIA, Sunyer J, Vrijheid M, Zhang W, Hivert MF, Breton CV. Maternal Gestational Diabetes Mellitus and Newborn DNA Methylation: Findings From the Pregnancy and Childhood Epigenetics Consortium. Diabetes Care 2020; 43:98-105. [PMID: 31601636 PMCID: PMC6925578 DOI: 10.2337/dc19-0524] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 09/17/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Maternal gestational diabetes mellitus (GDM) has been associated with adverse outcomes in the offspring. Growing evidence suggests that the epigenome may play a role, but most previous studies have been small and adjusted for few covariates. The current study meta-analyzed the association between maternal GDM and cord blood DNA methylation in the Pregnancy and Childhood Epigenetics (PACE) consortium. RESEARCH DESIGN AND METHODS Seven pregnancy cohorts (3,677 mother-newborn pairs [317 with GDM]) contributed results from epigenome-wide association studies, using DNA methylation data acquired by the Infinium HumanMethylation450 BeadChip array. Associations between GDM and DNA methylation were examined using robust linear regression, with adjustment for potential confounders. Fixed-effects meta-analyses were performed using METAL. Differentially methylated regions (DMRs) were identified by taking the intersection of results obtained using two regional approaches: comb-p and DMRcate. RESULTS Two DMRs were identified by both comb-p and DMRcate. Both regions were hypomethylated in newborns exposed to GDM in utero compared with control subjects. One DMR (chr 1: 248100345-248100614) was located in the OR2L13 promoter, and the other (chr 10: 135341870-135342620) was located in the gene body of CYP2E1. Individual CpG analyses did not reveal any differentially methylated loci based on a false discovery rate-adjusted P value threshold of 0.05. CONCLUSIONS Maternal GDM was associated with lower cord blood methylation levels within two regions, including the promoter of OR2L13, a gene associated with autism spectrum disorder, and the gene body of CYP2E1, which is upregulated in type 1 and type 2 diabetes. Future studies are needed to understand whether these associations are causal and possible health consequences.
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Affiliation(s)
- Caitlin G Howe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Bianca Cox
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Ruby Fore
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - James Jungius
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Tuomas Kvist
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Samantha Lent
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Harriet E Miles
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Sheryl Rifas-Shiman
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Paul Yousefi
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
| | - Christine Ladd-Acosta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, NY
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | - Vaia Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Social Medicine, University of Crete, Heraklion, Crete, Greece
- Department of Genetics and Cell Biology, Maastricht University, Maastricht, the Netherlands
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Eero Kajantie
- National Institute for Health and Welfare, Helsinki, Finland
- Research Unit for Pediatrics, Dermatology, Clinical Genetics, Obstetrics and Gynecology, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University for Science and Technology, Trondheim, Norway
- Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Jari M T Lahti
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
- Bristol NIHR Biomedical Research Centre, Bristol, U.K
| | - Augusto Litonjua
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Tim S Nawrot
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Emily Oken
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Michelle Plusquin
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Katri Räikkönen
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
- Bristol NIHR Biomedical Research Centre, Bristol, U.K
| | - Gemma C Sharp
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Section on Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Weiming Zhang
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
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50
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Molecular Modelling of Islet β-Cell Adaptation to Inflammation in Pregnancy and Gestational Diabetes Mellitus. Int J Mol Sci 2019; 20:ijms20246171. [PMID: 31817798 PMCID: PMC6941051 DOI: 10.3390/ijms20246171] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/03/2019] [Accepted: 12/04/2019] [Indexed: 12/16/2022] Open
Abstract
Gestational diabetes mellitus (GDM), a metabolic disease that develops with the increase in insulin resistance during late pregnancy, is currently one of the most common complications affecting pregnancy. The polygenic nature of GDM, together with the interplay between different genetic variants with nutritional and environmental factors has hindered the full understanding of the etiology of this disease. However, an important genetic overlap has been found with type 2 diabetes mellitus (T2DM) and, as in the case of T2DM, most of the identified loci are associated with β-cell function. Early detection of GDM and adequate interventions to control the maternal glycemia are necessary to avoid the adverse outcomes for both the mother and the offspring. The in utero exposure to the diabetic milieu predispose these children for future diseases, among them T2DM, originating a vicious circle implicated in the increased prevalence of both GDM and T2DM. The involvement of inflammatory processes in the development of GDM highlights the importance of pancreatic β-cell factors able to favor the adaptation processes required during gestation, concomitantly with the protection of the islets from an inflammatory milieu. In this regard, two members of the Pax family of transcription factors, PAX4 and PAX8, together with the chromatin remodeler factor HMG20A, have gained great relevance due to their involvement in β-cell mass adaptation together with their anti-inflammatory properties. Mutations in these factors have been associated with GDM, highlighting these as novel candidates for genetic screening analysis in the identification of women at risk of developing GDM.
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