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Shao W, Su Y, Liu J, Liu Y, Zhao J, Fan X. Understanding the link between different types of maternal diabetes and the onset of autism spectrum disorders. DIABETES & METABOLISM 2024; 50:101543. [PMID: 38761920 DOI: 10.1016/j.diabet.2024.101543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 05/03/2024] [Accepted: 05/04/2024] [Indexed: 05/20/2024]
Abstract
Autism spectrum disorders (ASD) encompass a collection of neurodevelopmental disorders that exhibit impaired social interactions and repetitive stereotypic behaviors. Although the exact cause of these disorders remains unknown, it is widely accepted that both genetic and environmental factors contribute to their onset and progression. Recent studies have highlighted the potential negative impact of maternal diabetes on embryonic neurodevelopment, suggesting that intrauterine hyperglycemia could pose an additional risk to early brain development and contribute to the development of ASD. This paper presents a comprehensive analysis of the current research on the relationship between various forms of maternal diabetes, such as type 1 diabetes mellitus, type 2 diabetes mellitus, and gestational diabetes mellitus, and the likelihood of ASD in offspring. The study elucidates the potential mechanisms through which maternal hyperglycemia affects fetal development, involving metabolic hormones, immune dysregulation, heightened oxidative stress, and epigenetic alterations. The findings of this review offer valuable insights for potential preventive measures and evidence-based interventions targeting ASD.
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Affiliation(s)
- Wenyu Shao
- Department of Military Cognitive Psychology, School of Psychology, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yichun Su
- Department of Military Cognitive Psychology, School of Psychology, Third Military Medical University (Army Medical University), Chongqing, China
| | - Jiayin Liu
- Department of Military Cognitive Psychology, School of Psychology, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yulong Liu
- Department of Military Cognitive Psychology, School of Psychology, Third Military Medical University (Army Medical University), Chongqing, China
| | - Jinghui Zhao
- Department of Military Cognitive Psychology, School of Psychology, Third Military Medical University (Army Medical University), Chongqing, China.
| | - Xiaotang Fan
- Department of Military Cognitive Psychology, School of Psychology, Third Military Medical University (Army Medical University), Chongqing, China
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Antoniou MC, Quansah DY, Gilbert L, Arhab A, Schenk S, Lacroix A, Stuijfzand B, Horsch A, Puder JJ. Association between maternal and fetal inflammatory biomarkers and offspring weight and BMI during the first year of life in pregnancies with GDM: MySweetheart study. Front Endocrinol (Lausanne) 2024; 15:1333755. [PMID: 38800487 PMCID: PMC11116579 DOI: 10.3389/fendo.2024.1333755] [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: 11/05/2023] [Accepted: 04/22/2024] [Indexed: 05/29/2024] Open
Abstract
Background Gestational Diabetes Mellitus (GDM) is frequently associated with chronic, low-grade inflammation. Whether this environment affects offspring anthropometry during early childhood remains to be elucidated. The aim of this study was to investigate the associations between maternal and fetal (cord blood-umbilical artery) inflammatory biomarkers and offspring weight and BMI up to 1 year in pregnancies with GDM. Methods In this prospective secondary analysis of the MySweetheart study, we included 193 women with GDM and their offspring. Maternal and fetal (N=39) predictors included serum levels of inflammatory biomarkers including CRP, IL-6, and TNF-α at 24-32 weeks of gestational age (GA) and in the cord blood. Offspring outcomes were small and large for gestational age (SGA, LGA), sex- and age-adjusted weight, and BMI at birth and at 1 year. Univariate and multivariate regression models were performed. Associations were adjusted for maternal pre-pregnancy BMI, age, and ethnicity. Results Mean maternal age was 33.6 ± 4.8 years, and pre-pregnancy BMI 25.9 ± 5.6 kg/m2. Their mean gestational age at the 1st GDM visit was 29 ± 2.4 weeks. Gestational age at delivery was 39.7 ± 1.1 weeks, with a mean birthweight of 3.4 ± 0.46 kg; 11.8% of offspring were LGA and 10.8% were SGA. At 1 year of age, mean offspring weight was 9.8 ± 1.2 kg and BMI z-score 0.23 ± 1.1 kg/m2. In the models including only maternal predictors, TNF-α at 24-32 weeks of GA was positively associated with SGA and inversely with offspring weight and BMI at birth and at 1 year (p ≤0.034). In the models including only fetal predictors and the combined model, CRP was inversely associated with BMI at 1 year (p ≤0.020). Conclusions In women with GDM, maternal and fetal inflammatory biomarkers distinctively influenced offspring anthropometry during the first year of life, independent of maternal age, prepregnancy BMI and ethnicity. These results suggest that low-grade inflammation during pregnancy may affect the developing offspring by leading to a decrease in weight and BMI and may have implications for future personalized follow-up of women with GDM and their offspring.
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Affiliation(s)
- Maria-Christina Antoniou
- Unit of Pediatric Endocrinology and Diabetology, Pediatric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Dan Yedu Quansah
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Leah Gilbert
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
- Nepean Clinical School, Faculty of Medicine and Health, The University of Sydney, Penrith, NSW, Australia
| | - Amar Arhab
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Sybille Schenk
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Alain Lacroix
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
- Institute of Higher Education and Research in Healthcare (IUFRS), University of Lausanne, Lausanne, Switzerland
| | - Bobby Stuijfzand
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Antje Horsch
- Institute of Higher Education and Research in Healthcare (IUFRS), University of Lausanne, Lausanne, Switzerland
- Neonatology Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Jardena Jacqueline Puder
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
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Ray GW, Zeng Q, Kusi P, Zhang H, Shao T, Yang T, Wei Y, Li M, Che X, Guo R. Genetic and inflammatory factors underlying gestational diabetes mellitus: a review. Front Endocrinol (Lausanne) 2024; 15:1399694. [PMID: 38694942 PMCID: PMC11061502 DOI: 10.3389/fendo.2024.1399694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 03/28/2024] [Indexed: 05/04/2024] Open
Abstract
Gestational diabetes mellitus (GDM) poses a significant global health concern, impacting both maternal and fetal well-being. Early detection and treatment are imperative to mitigate adverse outcomes during pregnancy. This review delves into the pivotal role of insulin function and the influence of genetic variants, including SLC30A8, CDKAL1, TCF7L2, IRS1, and GCK, in GDM development. These genetic variations affect beta-cell function and insulin activity in crucial tissues, such as muscle, disrupting glucose regulation during pregnancy. We propose a hypothesis that this variation may disrupt zinc transport, consequently impairing insulin production and secretion, thereby contributing to GDM onset. Furthermore, we discussed the involvement of inflammatory pathways, such as TNF-alpha and IL-6, in predisposing individuals to GDM. Genetic modulation of these pathways may exacerbate glucose metabolism dysregulation observed in GDM patients. We also discussed how GDM affects cardiovascular disease (CVD) through a direct correlation between pregnancy and cardiometabolic function, increasing atherosclerosis, decreased vascular function, dyslipidemia, and hypertension in women with GDM history. However, further research is imperative to unravel the intricate interplay between inflammatory pathways, genetics, and GDM. This understanding is pivotal for devising targeted gene therapies and pharmacological interventions to rectify genetic variations in SLC30A8, CDKAL1, TCF7L2, IRS1, GCK, and other pertinent genes. Ultimately, this review offers insights into the pathophysiological mechanisms of GDM, providing a foundation for developing strategies to mitigate its impact.
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Affiliation(s)
- Gyan Watson Ray
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Qiaoli Zeng
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Phidelia Kusi
- University of Ghana, Ministry of Fisheries and Aquaculture Development, Fisheries Commission, Accra, Ghana
| | - Hengli Zhang
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Taotao Shao
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
| | - Taili Yang
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Yue Wei
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Mianqin Li
- Department of Obstetric, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Xiaoqun Che
- Department of Obstetric, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
- Reproductive Medicine Center, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Runmin Guo
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
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Ahmed MM, Saad NE, Abbas SM, El Azizi TMS, El Sayed I. Elevated uric acid in gestational diabetes and its risk on pregnancy outcomes. SAGE Open Med 2024; 12:20503121241241934. [PMID: 38566965 PMCID: PMC10986170 DOI: 10.1177/20503121241241934] [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: 11/16/2023] [Accepted: 03/08/2024] [Indexed: 04/04/2024] Open
Abstract
Background Over the past few years, gestational diabetes mellitus has become more common. According to earlier research, gestational diabetes mellitus is linked to higher uric acid levels, and gestational hyperuricemia is linked to poor maternal and neonatal outcomes. Aim and objectives To assess the influence of elevated uric acid >5 mg/dl on pregnancy outcomes such as neonatal weight, respiratory distress, preterm delivery, neonatal intensive care unit admission, premature membrane rupture, oligohydramnios, cesarean section, and intensive care admission for mothers. Setting and methods It is a prospective cohort study, carried out at obstetric/family medicine outpatient clinics, Cairo University Hospitals on 221 pregnant females with gestational diabetes mellitus in their third trimester of pregnancy, selected by random sampling, performed structured interviews, and tested for serum uric acid level and were separated into two groups, those with elevated uric acid >5 mg/dl (121) and those without elevated uric acid ⩽5 mg/dl (100) patients and then followed up until delivery in Cairo University Hospitals for collecting pregnancy outcome data. Results There were statistically significant differences between the antepartum uric acid and neonatal complications, maternal complications, preterm, macrosomia, neonatal intensive care unit admission, premature rupture of membranes, oligohydramnios, and cesarean section between both groups. Conclusions This study showed that elevated serum uric acid >5 mg/dl can predict the incidence of maternal and neonatal problems in gestational diabetes mellitus including preterm, macrosomia, neonatal intensive care unit admission, premature rupture of membranes, oligohydramnios, and cesarean section.
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Peña A, Miller AM, Campbell AG, Holden RJ, Scifres CM. Mapping Lifestyle Interventions for Gestational Diabetes Prevention: A Scoping Review. Curr Diab Rep 2024; 24:74-83. [PMID: 38367172 DOI: 10.1007/s11892-024-01535-5] [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] [Accepted: 02/01/2024] [Indexed: 02/19/2024]
Abstract
PURPOSE OF REVIEW The purpose of this study was to conduct a scoping review to map intervention, sample, and physiologic measurement characteristics of lifestyle interventions for gestational diabetes mellitus (GDM) prevention. RECENT FINDINGS A total of 19 studies met selection criteria from 405 articles screened (PubMed, Web of Science). No studies were US-based (47% multi-site), and all were delivered in clinical settings. The most targeted nutrition components were low carbohydrate intake (sugar rich foods/added sugars, low glycemic index), low fat intake (mainly low-fat meat, dairy, and saturated fat), and increased fruits and vegetables. Many studies promoted 150 min/week moderate-intensity physical activity. Only two studies provided supervised physical activity sessions. Dietitians and nurses were the most common implementers. Samples were characterized as adults with obesity (mean age 31 yr, BMI 31 kg/m2). Asian populations were predominantly studied. Four studies used theoretical frameworks (75% of which used Social Cognitive Theory). GDM diagnostic criteria set forth by the American Diabetes Association were the most widely used. Insulin sensitivity was commonly assessed via fasting indices. There was a lack of multi-disciplinary, multi-level, and theory-based lifestyle interventions for reducing GDM risk. Addressing these gaps and prioritizing high-risk populations in the US with measurement of traditional and novel biomarkers will advance the field.
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Affiliation(s)
- Armando Peña
- Department of Health & Wellness Design, School of Public Health in Bloomington, Indiana University, Bloomington, IN, USA.
| | - Alison M Miller
- Department of Health & Wellness Design, School of Public Health in Bloomington, Indiana University, Bloomington, IN, USA
| | - Angela G Campbell
- Applied Health Sciences, School of Public Health in Bloomington, Indiana University, Bloomington, IN, USA
| | - Richard J Holden
- Department of Health & Wellness Design, School of Public Health in Bloomington, Indiana University, Bloomington, IN, USA
| | - Christina M Scifres
- Department of Obstetrics and Gynecology, School of Medicine, Indiana University, Indianapolis, IN, USA
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Gao Y, Zhou M, Xu X, Ma JY, Qin MF. Body composition and risk of gestational diabetes mellitus: A univariable and multivariable Mendelian randomization study. J Diabetes Investig 2024; 15:346-354. [PMID: 38013660 PMCID: PMC10906022 DOI: 10.1111/jdi.14115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/05/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023] Open
Abstract
OBJECTIVE In this study, we employed a Mendelian randomization (MR) approach to investigate the independent causal associations of six body composition traits with gestational diabetes mellitus (GDM). METHODS Genome-wide significant levels (P < 10 × 5-8 ) of single nucleotide polymorphisms associated with body water mass, total protein, whole body fat-free mass, weight, whole body fat mass, and body fat percentage were used as instrumental variables. Data on GDM were obtained from the FinnGen Consortium, and both univariable and multivariable Mendelian randomization were performed. We utilized five different analytical methods including inverse-variance weighted (IVW), MR Egger, weighted median, simple mode, and weighted mode to assess the robustness of the results. RESULTS With univariable Mendelian randomization, the risk of GDM increased per 1-standard deviation (SD) increase in weight (ORweight = 1.297, P = 3.06 × 10-5 ), whole body fat mass (ORwhole body fat mass = 1.408, P = 1.32 × 10-6 ), and the risk of GDM increased per percent increase in body fat percentage (ORbody fat percentage = 1.661, P = 1.01 × 10-8 ). Total protein had a protective effect on the risk of GDM (ORtotal protein = 0.880, P = 0.048). However, there was no significant causal association between increases in body water mass and whole body fat-free mass per SD and the risk of GDM. Causal associations between weight, whole body fat mass, body fat percentage, and total protein with GDM were reduced to null in multivariable Mendelian randomization. CONCLUSION The present study furnishes genetic evidence to elucidate the causal relationship between body composition traits and GDM. Additionally, further studies are imperative to establish a causal connection between body composition traits and gestational diabetes mellitus.
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Affiliation(s)
- Yuan Gao
- The Second Affiliated Hospital of Nanchang UniversityNanchangChina
- Nursing School of Nanchang UniversityNanchangChina
| | - Min Zhou
- The Second Affiliated Hospital of Nanchang UniversityNanchangChina
| | - Xuan Xu
- The Second Affiliated Hospital of Nanchang UniversityNanchangChina
| | - Jun Yang Ma
- School of Clinical MedicineJining Medical UniversityJiningChina
- Department of General SurgeryThe First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital)JinanChina
| | - Man Fen Qin
- The Second Affiliated Hospital of Nanchang UniversityNanchangChina
- Nursing School of Nanchang UniversityNanchangChina
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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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Mavroeidi I, Manta A, Asimakopoulou A, Syrigos A, Paschou SA, Vlachaki E, Nastos C, Kalantaridou S, Peppa M. The Role of the Glycemic Index and Glycemic Load in the Dietary Approach of Gestational Diabetes Mellitus. Nutrients 2024; 16:399. [PMID: 38337683 PMCID: PMC10857473 DOI: 10.3390/nu16030399] [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: 12/14/2023] [Revised: 01/19/2024] [Accepted: 01/20/2024] [Indexed: 02/12/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is a common metabolic disorder that often develops during pregnancy, characterized by glucose intolerance and insulin resistance (IR). To ensure the well-being of both the mother and the fetus, the body undergoes multiple metabolic and immunological changes that result in peripheral IR and, under certain hereditary or acquired abnormalities, GDM in predisposed women. The adverse short- and long-term effects of GDM impact both the mother and the fetus. Nutrition seems to play an important role to prevent GDM or improve its evolution. An emphasis has been given to the proportion of carbohydrates (CHO) relative to protein and lipids, as well as dietary patterns, in GDM. The effects of CHO on postprandial glucose concentrations are reflected in the glycemic index (GI) and glycemic load (GL). Diets rich in GI and GL may induce or exacerbate IR, whereas diets low in GI and GL appear to enhance insulin sensitivity and improve glycemic control. These positive outcomes may be attributed to direct interactions with insulin and glucose homeostasis or indirect effects through improved body composition and weight management. This comprehensive narrative review aims to explore the significance of nutrition, with a focus on the critical evaluation of GI and GL in the dietary management of women with GDM.
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Affiliation(s)
- Ioanna Mavroeidi
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Aspasia Manta
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Athina Asimakopoulou
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
| | - Alexandros Syrigos
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
| | - Stavroula A Paschou
- Endocrine Unit and Diabetes Center, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Efthimia Vlachaki
- Hematological Laboratory, 2nd Department of Internal Medicine, Hippokrateion Hospital, Aristotle University, 54640 Thessaloniki, Greece
| | - Constantinos Nastos
- 3rd Department of Surgery, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Sophia Kalantaridou
- Department of Obstetrics and Gynecology, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Melpomeni Peppa
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
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García-Álvarez NC, Riezu-Boj JI, Martínez JA, García-Calzón S, Milagro FI. A Predictive Tool Based on DNA Methylation Data for Personalized Weight Loss through Different Dietary Strategies: A Pilot Study. Nutrients 2023; 15:5023. [PMID: 38140282 PMCID: PMC10746100 DOI: 10.3390/nu15245023] [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: 10/26/2023] [Revised: 11/28/2023] [Accepted: 12/02/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND AND AIMS Obesity is a public health problem. The usual treatment is a reduction in calorie intake and an increase in energy expenditure, but not all individuals respond equally to these treatments. Epigenetics could be a factor that contributes to this heterogeneity. The aim of this research was to determine the association between DNA methylation at baseline and the percentage of BMI loss (%BMIL) after two dietary interventions, in order to design a prediction model to evaluate %BMIL based on methylation data. METHODS AND RESULTS Spanish participants with overweight or obesity (n = 306) were randomly assigned to two lifestyle interventions with hypocaloric diets: one moderately high in protein (MHP) and the other low in fat (LF) for 4 months (Obekit study; ClinicalTrials.gov ID: NCT02737267). Basal DNA methylation was analyzed in white blood cells using the Infinium MethylationEPIC array. After identifying those methylation sites associated with %BMIL (p < 0.05 and SD > 0.1), two weighted methylation sub-scores were constructed for each diet: 15 CpGs were used for the MHP diet and 11 CpGs for the LF diet. Afterwards, a total methylation score was made by subtracting the previous sub-scores. These data were used to design a prediction model for %BMIL through a linear mixed effect model with the interaction between diet and total score. CONCLUSION Overall, DNA methylation predicts the %BMIL of two 4-month hypocaloric diets and was able to determine which type of diet is the most appropriate for each individual. The results of this pioneer study confirm that epigenetic biomarkers may be further used for precision nutrition and the design of personalized dietary strategies against obesity.
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Affiliation(s)
- Nereyda Carolina García-Álvarez
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.C.G.-Á.); (J.I.R.-B.); (J.A.M.); (S.G.-C.)
| | - José Ignacio Riezu-Boj
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.C.G.-Á.); (J.I.R.-B.); (J.A.M.); (S.G.-C.)
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - J. Alfredo Martínez
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.C.G.-Á.); (J.I.R.-B.); (J.A.M.); (S.G.-C.)
| | - Sonia García-Calzón
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.C.G.-Á.); (J.I.R.-B.); (J.A.M.); (S.G.-C.)
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Fermín I. Milagro
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.C.G.-Á.); (J.I.R.-B.); (J.A.M.); (S.G.-C.)
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Carlos III Health Institute, 28029 Madrid, Spain
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Ustianowski Ł, Udzik J, Szostak J, Gorący A, Ustianowska K, Pawlik A. Genetic and Epigenetic Factors in Gestational Diabetes Mellitus Pathology. Int J Mol Sci 2023; 24:16619. [PMID: 38068941 PMCID: PMC10706782 DOI: 10.3390/ijms242316619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 11/14/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
Gestational diabetes (GDM) is the carbohydrate intolerance occurring during pregnancy. The risk factors of GDM include obesity, advanced maternal age, polycystic ovary syndrome, multigravidity, a sedentary lifestyle, and pre-existing hypertension. Additionally, complex genetic and epigenetic processes are also believed to play a crucial role in the development of GDM. In this narrative review, we discuss the role of genetic and epigenetic factors in gestational diabetes mellitus pathogenesis.
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Affiliation(s)
- Łukasz Ustianowski
- Department of Physiology, Pomeranian Medical University, 70-111 Szczecin, Poland; (Ł.U.); (J.U.); (K.U.)
| | - Jakub Udzik
- Department of Physiology, Pomeranian Medical University, 70-111 Szczecin, Poland; (Ł.U.); (J.U.); (K.U.)
- Department of Cardiac Surgery, Pomeranian Medical University, 70-111 Szczecin, Poland
| | - Joanna Szostak
- Department of Experimental and Clinical Pharmacology, Pomeranian Medical University, 70-111 Szczecin, Poland;
| | - Anna Gorący
- Department of Clinical and Molecular Biochemistry, Pomeranian Medical University, 70-111 Szczecin, Poland;
| | - Klaudia Ustianowska
- Department of Physiology, Pomeranian Medical University, 70-111 Szczecin, Poland; (Ł.U.); (J.U.); (K.U.)
| | - Andrzej Pawlik
- Department of Physiology, Pomeranian Medical University, 70-111 Szczecin, Poland; (Ł.U.); (J.U.); (K.U.)
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11
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Kwon H, Jung YJ, Lee Y, Son GH, Kim HO, Maeng YS, Kwon JY. Impaired Angiogenic Function of Fetal Endothelial Progenitor Cells via PCDH10 in Gestational Diabetes Mellitus. Int J Mol Sci 2023; 24:16082. [PMID: 38003275 PMCID: PMC10671254 DOI: 10.3390/ijms242216082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/06/2023] [Accepted: 11/07/2023] [Indexed: 11/26/2023] Open
Abstract
Maternal hyperglycemia, induced by gestational diabetes mellitus (GDM), has detrimental effects on fetal vascular development, ultimately increasing the risk of cardiovascular diseases in offspring. The potential underlying mechanisms through which these complications occur are due to functional impairment and epigenetic changes in fetal endothelial progenitor cells (EPCs), which remain less defined. We confirm that intrauterine hyperglycemia leads to the impaired angiogenic function of fetal EPCs, as observed through functional assays of outgrowth endothelial cells (OECs) derived from fetal EPCs of GDM pregnancies (GDM-EPCs). Notably, PCDH10 expression is increased in OECs derived from GDM-EPCs, which is associated with the inhibition of angiogenic function in fetal EPCs. Additionally, increased PCDH10 expression is correlated with the hypomethylation of the PCDH10 promoter. Our findings demonstrate that in utero exposure to GDM can induce angiogenic dysfunction in fetal EPCs through altered gene expression and epigenetic changes, consequently increasing the susceptibility to cardiovascular diseases in the offspring of GDM mothers.
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Affiliation(s)
- Hayan Kwon
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (H.K.); (Y.J.J.); (Y.L.)
| | - Yun Ji Jung
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (H.K.); (Y.J.J.); (Y.L.)
| | - Yeji Lee
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (H.K.); (Y.J.J.); (Y.L.)
| | - Ga-Hyun Son
- Department of Obstetrics and Gynecology, Kangnam Sacred Heart Hospital, Hallym University Medical Center, Hallym University College of Medicine, Seoul 07441, Republic of Korea;
| | - Hyun Ok Kim
- Korea Cell-Based Artificial Blood Project, Regenerative Medicine Acceleration Foundation, Seoul 04512, Republic of Korea;
| | - Yong-Sun Maeng
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (H.K.); (Y.J.J.); (Y.L.)
| | - Ja-Young Kwon
- Department of Obstetrics and Gynecology, Institute of Women’s Life Medical Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; (H.K.); (Y.J.J.); (Y.L.)
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12
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Sadiq R, Bukhari MH, Brown TT, Bennett WL, Retnakaran R, Echouffo-Tcheugui JB. Association of cumulative social risk and gestational diabetes mellitus in the US, 2007-2018. Diabetes Res Clin Pract 2023; 203:110840. [PMID: 37482220 PMCID: PMC10592126 DOI: 10.1016/j.diabres.2023.110840] [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: 01/08/2023] [Revised: 06/03/2023] [Accepted: 07/20/2023] [Indexed: 07/25/2023]
Abstract
AIMS Little is known regarding the association of multiple social risk factors and gestational diabetes mellitus (GDM). METHODS We analyzed the 2007-2018 National Health and Nutrition Examination Surveys including 10,439 women aged ≥20 years (8 % with history of GDM). We created a cumulative social risk score (CSR) by adding scores assigned to each of the following: race/ethnicity, citizenship status and country of birth, education, and family income (score of 0 used as reference group). Using logistic regression, we assessed the associations of individual social risk factors (education, income, race/ethnicity and citizenship status) and CSR score with GDM, adjusting for age, parity, insurance status, care access, smoking, diet, physical activity, and body mass index. RESULTS Among individual social risk factors, being a non-U.S. citizen (OR:1.51, 95% CI: 1.06-2.15) or belonging to a minority racial/ethnic group (OR:1.30, 95% CI: 1.04-1.59) was significantly associated with a greater odds of GDM. When examining the combined effects of social risk factors, a CSR score ≥3 was associated with an increased odds of GDM (OR:1.64, 95% CI: 1.22-2.1). CONCLUSIONS Women with a greater burden of social risk factors are more likely to have GDM, thus should be the focus of interventions to prevent and treat GDM.
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Affiliation(s)
- Rabail Sadiq
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Muhammad H Bukhari
- Department of Medicine, Norwalk Hospital affiliated with Yale University School of Medicine, Norwalk, CT, USA
| | - Todd T Brown
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Wendy L Bennett
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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13
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Giordo R, Posadino AM, Mangoni AA, Pintus G. Metformin-mediated epigenetic modifications in diabetes and associated conditions: Biological and clinical relevance. Biochem Pharmacol 2023; 215:115732. [PMID: 37541452 DOI: 10.1016/j.bcp.2023.115732] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 08/06/2023]
Abstract
An intricate interplay between genetic and environmental factors contributes to the development of type 2 diabetes (T2D) and its complications. Therefore, it is not surprising that the epigenome also plays a crucial role in the pathogenesis of T2D. Hyperglycemia can indeed trigger epigenetic modifications, thereby regulating different gene expression patterns. Such epigenetic changes can persist after normalizing serum glucose concentrations, suggesting the presence of a 'metabolic memory' of previous hyperglycemia which may also be epigenetically regulated. Metformin, a derivative of biguanide known to reduce serum glucose concentrations in patients with T2D, appears to exert additional pleiotropic effects that are mediated by multiple epigenetic modifications. Such modifications have been reported in various organs, tissues, and cellular compartments and appear to account for the effects of metformin on glycemic control as well as local and systemic inflammation, oxidant stress, and fibrosis. This review discusses the emerging evidence regarding the reported metformin-mediated epigenetic modifications, particularly on short and long non-coding RNAs, DNA methylation, and histone proteins post-translational modifications, their biological and clinical significance, potential therapeutic applications, and future research directions.
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Affiliation(s)
- Roberta Giordo
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro, 07100 Sassari, Italy
| | - Anna Maria Posadino
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro, 07100 Sassari, Italy
| | - Arduino Aleksander Mangoni
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Bedford Park, SA 5042, Australia; Department of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, Bedford Park, SA 5042, Australia.
| | - Gianfranco Pintus
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro, 07100 Sassari, Italy; Department of Medical Laboratory Sciences, College of Health Sciences, and Sharjah Institute for Medical Research, University of Sharjah, University City Rd, Sharjah 27272, United Arab Emirates.
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14
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Cao D, Wang Y. Study on the Regulation of Trophoblast Activity by Abnormally Expressed lncRNA CCDC144NL-AS1 in Patients with Gestational Diabetes Mellitus. Horm Metab Res 2023; 55:432-438. [PMID: 37295416 DOI: 10.1055/a-2085-6171] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Gestational diabetes mellitus (GDM) is a common complication in pregnant women. The growth and differentiation of trophoblast cells determine the function of the placenta, and therefore further affect the transport of nutrients to the fetus. lncRNA Coiled-Coil Domain Containing 144 N-Terminal-Like antisense1 (CCDC144NL-AS1) was reported to be abnormally expressed in GDM, but its function and mechanism remain undefined. This study aimed to reveal the expression of CCDC144NL-AS1 in GDM and evaluate its significance in disease development. The expression of CCDC144NL-AS1 in serum and placenta tissues of GDM patients and healthy pregnant women was evaluated using PCR. The effect of CCDC144NL-AS1 on the proliferation, migration, and invasion of trophoblast cells was evaluated with CCK8 and Transwell assay. The mechanism of the interaction between CCDC144NL-AS1 and miR-143-3p was assessed by luciferase reporter assay and cell transfection. CCDC144NL-AS1 was upregulated in GDM patients, which discriminated GDM patients from healthy pregnant women with high sensitivity and specificity and was positively correlated with the insulin resistance indexes. In trophoblast cells, high glucose exposure induced increased CCDC144NL-AS1 and suppressed cell proliferation, migration, and invasion. Silencing CCDC144NL-AS1 could alleviate the inhibitory effect of high glucose, while the knockdown of miR-143-3p reversed the effect of CCDC144NL-AS1. In conclusion, upregulated CCDC144NL-AS1 served as a diagnostic biomarker of GDM and regulated the development of trophoblast cells via negatively modulating miR-143-3p.
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Affiliation(s)
- Dan Cao
- Obstetrics and Gynecology, Changzhou No. 2 People's Hospital, Changzhou, China
| | - Yu Wang
- Obstetrics and Gynecology, Changzhou No. 2 People's Hospital, Changzhou, China
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15
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Abstract
Gestational diabetes mellitus (GDM) traditionally refers to abnormal glucose tolerance with onset or first recognition during pregnancy. GDM has long been associated with obstetric and neonatal complications primarily relating to higher infant birthweight and is increasingly recognized as a risk factor for future maternal and offspring cardiometabolic disease. The prevalence of GDM continues to rise internationally due to epidemiological factors including the increase in background rates of obesity in women of reproductive age and rising maternal age and the implementation of the revised International Association of the Diabetes and Pregnancy Study Groups' criteria and diagnostic procedures for GDM. The current lack of international consensus for the diagnosis of GDM reflects its complex historical evolution and pragmatic antenatal resource considerations given GDM is now 1 of the most common complications of pregnancy. Regardless, the contemporary clinical approach to GDM should be informed not only by its short-term complications but also by its longer term prognosis. Recent data demonstrate the effect of early in utero exposure to maternal hyperglycemia, with evidence for fetal overgrowth present prior to the traditional diagnosis of GDM from 24 weeks' gestation, as well as the durable adverse impact of maternal hyperglycemia on child and adolescent metabolism. The major contribution of GDM to the global epidemic of intergenerational cardiometabolic disease highlights the importance of identifying GDM as an early risk factor for type 2 diabetes and cardiovascular disease, broadening the prevailing clinical approach to address longer term maternal and offspring complications following a diagnosis of GDM.
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Affiliation(s)
- Arianne Sweeting
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Jencia Wong
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Helen R Murphy
- Diabetes in Pregnancy Team, Cambridge University Hospitals, Cambridge, UK.,Norwich Medical School, Bob Champion Research and Education Building, University of East Anglia, Norwich, UK.,Division of Women's Health, Kings College London, London, UK
| | - Glynis P Ross
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
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16
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Vaigauskaitė B, Baušytė R, Valatkaitė E, Skliutė G, Kazėnaitė E, Ramašauskaitė D, Navakauskienė R. Prognostic Gene Predictors of Gestational Diabetes in Endometrium and Follicular Fluid of Women after Infertility. Medicina (B Aires) 2022; 58:medicina58040498. [PMID: 35454338 PMCID: PMC9025034 DOI: 10.3390/medicina58040498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 03/22/2022] [Accepted: 03/25/2022] [Indexed: 11/16/2022] Open
Abstract
Background and objectives. Gestational diabetes mellitus is an increasingly diagnosed metabolic disorder during pregnancy with unknown pathological pathways. Taking into account the growing numbers of women who are conceiving after assisted reproductive technologies, they comprise an engaging target group for gestational diabetes mellitus etiopathogenesis research. In terms of metabolism and genetics, as the evidence shows, both unexplained infertility and gestational diabetes mellitus pose challenges for their interpretation due to the complex bodily processes. Materials and Methods. Our study examined the expression of genes (IGF2, GRB10, CRTC2, HMGA2, ESR1, DLK1, SLC6A15, GPT2, PLAGL1) associated with glucose metabolism in unexplained infertility patients who conceived after in vitro fertilization procedure, were diagnosed with GDM and their findings were compared with control population. Results. There were no significant differences in gene expression of endometrium stromal cells between healthy pregnant women and women with gestational diabetes, although the significant downregulation of CRTC2 was observed in the follicular fluid of women with gestational diabetes mellitus. Moreover, expression of HMGA2 and ESR1 was significantly reduced in FF cells when compared to endometrial cells. Conclusions. These findings may indicate about the importance of follicular fluid as an indicator for gestational diabetes and should be explored more by further research.
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Affiliation(s)
- Brigita Vaigauskaitė
- Department of Molecular Cell Biology, Institute of Biochemistry, Life Sciences Center, Vilnius University, Saulėtekio Av. 7, LT-10257 Vilnius, Lithuania; (R.B.); (E.V.); (G.S.); (R.N.)
- Centre of Obstetrics and Gynaecology of the Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Santariškių St, LT-08661 Vilnius, Lithuania;
- Correspondence:
| | - Raminta Baušytė
- Department of Molecular Cell Biology, Institute of Biochemistry, Life Sciences Center, Vilnius University, Saulėtekio Av. 7, LT-10257 Vilnius, Lithuania; (R.B.); (E.V.); (G.S.); (R.N.)
- Centre of Obstetrics and Gynaecology of the Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Santariškių St, LT-08661 Vilnius, Lithuania;
| | - Elvina Valatkaitė
- Department of Molecular Cell Biology, Institute of Biochemistry, Life Sciences Center, Vilnius University, Saulėtekio Av. 7, LT-10257 Vilnius, Lithuania; (R.B.); (E.V.); (G.S.); (R.N.)
| | - Giedrė Skliutė
- Department of Molecular Cell Biology, Institute of Biochemistry, Life Sciences Center, Vilnius University, Saulėtekio Av. 7, LT-10257 Vilnius, Lithuania; (R.B.); (E.V.); (G.S.); (R.N.)
| | - Edita Kazėnaitė
- Faculty of Medicine, Vilnius University Hospital Santaros Klinikos, Vilnius University, Santariškių St, LT-08661 Vilnius, Lithuania;
| | - Diana Ramašauskaitė
- Centre of Obstetrics and Gynaecology of the Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Santariškių St, LT-08661 Vilnius, Lithuania;
| | - Rūta Navakauskienė
- Department of Molecular Cell Biology, Institute of Biochemistry, Life Sciences Center, Vilnius University, Saulėtekio Av. 7, LT-10257 Vilnius, Lithuania; (R.B.); (E.V.); (G.S.); (R.N.)
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17
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Genomics and Epigenomics of Gestational Diabetes Mellitus: Understanding the Molecular Pathways of the Disease Pathogenesis. Int J Mol Sci 2022; 23:ijms23073514. [PMID: 35408874 PMCID: PMC8998752 DOI: 10.3390/ijms23073514] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 11/16/2022] Open
Abstract
One of the most common complications during pregnancy is gestational diabetes mellitus (GDM), hyperglycemia that occurs for the first time during pregnancy. The condition is multifactorial, caused by an interaction between genetic, epigenetic, and environmental factors. However, the underlying mechanisms responsible for its pathogenesis remain elusive. Moreover, in contrast to several common metabolic disorders, molecular research in GDM is lagging. It is important to recognize that GDM is still commonly diagnosed during the second trimester of pregnancy using the oral glucose tolerance test (OGGT), at a time when both a fetal and maternal pathophysiology is already present, demonstrating the increased blood glucose levels associated with exacerbated insulin resistance. Therefore, early detection of metabolic changes and associated epigenetic and genetic factors that can lead to an improved prediction of adverse pregnancy outcomes and future cardio-metabolic pathologies in GDM women and their children is imperative. Several genomic and epigenetic approaches have been used to identify the genes, genetic variants, metabolic pathways, and epigenetic modifications involved in GDM to determine its etiology. In this article, we explore these factors as well as how their functional effects may contribute to immediate and future pathologies in women with GDM and their offspring from birth to adulthood. We also discuss how these approaches contribute to the changes in different molecular pathways that contribute to the GDM pathogenesis, with a special focus on the development of insulin resistance.
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18
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Maternal Metabolic State and Fetal Sex and Genotype Modulate Methylation of the Serotonin Receptor Type 2A Gene (HTR2A) in the Human Placenta. Biomedicines 2022; 10:biomedicines10020467. [PMID: 35203678 PMCID: PMC8962258 DOI: 10.3390/biomedicines10020467] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/11/2022] [Accepted: 02/15/2022] [Indexed: 01/27/2023] Open
Abstract
The serotonin receptor 2A gene (HTR2A) is a strong candidate for the fetal programming of future behavior and metabolism. Maternal obesity and gestational diabetes mellitus (GDM) have been associated with an increased risk of metabolic and psychological problems in offspring. We tested the hypothesis that maternal metabolic status affects methylation of HTR2A in the placenta. The prospective study included 199 pairs of mothers and healthy full-term newborns. Genomic DNA was extracted from feto-placental samples and analyzed for genotypes of two polymorphisms (rs6311, rs6306) and methylation of four cytosine residues (−1665, −1439, −1421, −1224) in the HTR2A promoter region. Placental HTR2A promoter methylation was higher in male than female placentas and depended on both rs6311 and rs6306 genotypes. A higher maternal pre-gestational body mass index (pBMI) and, to a lesser extent, diagnosis of GDM were associated with reduced HTR2A promoter methylation in female but not male placentas. Higher pBMI was associated with reduced methylation both directly and indirectly through increased GDM incidence. Tobacco use during pregnancy was associated with reduced HTR2A promoter methylation in male but not female placentas. The obtained results suggest that HTR2A is a sexually dimorphic epigenetic target of intrauterine exposures. The findings may contribute to a better understanding of the early developmental origins of neurobehavioral and metabolic disorders associated with altered HTR2A function.
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19
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Shashikadze B, Flenkenthaler F, Stöckl JB, Valla L, Renner S, Kemter E, Wolf E, Fröhlich T. Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches. Genes (Basel) 2021; 12:1991. [PMID: 34946940 PMCID: PMC8701487 DOI: 10.3390/genes12121991] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/06/2021] [Accepted: 12/10/2021] [Indexed: 12/27/2022] Open
Abstract
Worldwide, gestational diabetes affects 2-25% of pregnancies. Due to related disturbances of the maternal metabolism during the periconceptional period and pregnancy, children bear an increased risk for future diseases. It is well known that an aberrant intrauterine environment caused by elevated maternal glucose levels is related to elevated risks for increased birth weights and metabolic disorders in later life, such as obesity or type 2 diabetes. The complexity of disturbances induced by maternal diabetes, with multiple underlying mechanisms, makes early diagnosis or prevention a challenging task. Omics technologies allowing holistic quantification of several classes of molecules from biological fluids, cells, or tissues are powerful tools to systematically investigate the effects of maternal diabetes on the offspring in an unbiased manner. Differentially abundant molecules or distinct molecular profiles may serve as diagnostic biomarkers, which may also support the development of preventive and therapeutic strategies. In this review, we summarize key findings from state-of-the-art Omics studies addressing the impact of maternal diabetes on offspring health.
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Affiliation(s)
- Bachuki Shashikadze
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Florian Flenkenthaler
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Jan B. Stöckl
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Libera Valla
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
| | - Simone Renner
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Elisabeth Kemter
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Eckhard Wolf
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Thomas Fröhlich
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
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