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Brito Nunes C, Borges MC, Freathy RM, Lawlor DA, Qvigstad E, Evans DM, Moen GH. Understanding the Genetic Landscape of Gestational Diabetes: Insights into the Causes and Consequences of Elevated Glucose Levels in Pregnancy. Metabolites 2024; 14:508. [PMID: 39330515 PMCID: PMC11434570 DOI: 10.3390/metabo14090508] [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: 08/26/2024] [Revised: 09/16/2024] [Accepted: 09/17/2024] [Indexed: 09/28/2024] Open
Abstract
Background/Objectives: During pregnancy, physiological changes in maternal circulating glucose levels and its metabolism are essential to meet maternal and fetal energy demands. Major changes in glucose metabolism occur throughout pregnancy and consist of higher insulin resistance and a compensatory increase in insulin secretion to maintain glucose homeostasis. For some women, this change is insufficient to maintain normoglycemia, leading to gestational diabetes mellitus (GDM), a condition characterized by maternal glucose intolerance and hyperglycaemia first diagnosed during the second or third trimester of pregnancy. GDM is diagnosed in approximately 14.0% of pregnancies globally, and it is often associated with short- and long-term adverse health outcomes in both mothers and offspring. Although recent studies have highlighted the role of genetic determinants in the development of GDM, research in this area is still lacking, hindering the development of prevention and treatment strategies. Methods: In this paper, we review recent advances in the understanding of genetic determinants of GDM and glycaemic traits during pregnancy. Results/Conclusions: Our review highlights the need for further collaborative efforts as well as larger and more diverse genotyped pregnancy cohorts to deepen our understanding of the genetic aetiology of GDM, address research gaps, and further improve diagnostic and treatment strategies.
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Affiliation(s)
- Caroline Brito Nunes
- Institute for Molecular Bioscience, The University of Queensland, Brisbane 4067, Australia
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 1QU, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK
| | - Rachel M. Freathy
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter EX4 4PY, UK;
| | - Deborah A. Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 1QU, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK
| | - Elisabeth Qvigstad
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, 0424 Oslo, Norway
| | - David M. Evans
- Institute for Molecular Bioscience, The University of Queensland, Brisbane 4067, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 1QU, UK
- Frazer Institute, University of Queensland, Brisbane 4102, Australia
| | - Gunn-Helen Moen
- Institute for Molecular Bioscience, The University of Queensland, Brisbane 4067, Australia
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway
- Frazer Institute, University of Queensland, Brisbane 4102, Australia
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, 7491 Trondheim, Norway
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Amitrano F, Krishnan M, Murphy R, Okesene-Gafa KAM, Ji M, Thompson JMD, Taylor RS, Merriman TR, Rush E, McCowan M, McCowan LME, McKinlay CJD. The impact of CREBRF rs373863828 Pacific-variant on infant body composition. Sci Rep 2024; 14:8825. [PMID: 38627436 PMCID: PMC11021527 DOI: 10.1038/s41598-024-59417-5] [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: 12/21/2023] [Accepted: 04/10/2024] [Indexed: 04/19/2024] Open
Abstract
In Māori and Pacific adults, the CREBRF rs373863828 minor (A) allele is associated with increased body mass index (BMI) but reduced incidence of type-2 and gestational diabetes mellitus. In this prospective cohort study of Māori and Pacific infants, nested within a nutritional intervention trial for pregnant women with obesity and without pregestational diabetes, we investigated whether the rs373863828 A allele is associated with differences in growth and body composition from birth to 12-18 months' corrected age. Infants with and without the variant allele were compared using generalised linear models adjusted for potential confounding by gestation length, sex, ethnicity and parity, and in a secondary analysis, additionally adjusted for gestational diabetes. Carriage of the rs373863828 A allele was not associated with altered growth and body composition from birth to 6 months. At 12-18 months, infants with the rs373863828 A allele had lower whole-body fat mass [FM 1.4 (0.7) vs. 1.7 (0.7) kg, aMD -0.4, 95% CI -0.7, 0.0, P = 0.05; FM index 2.2 (1.1) vs. 2.6 (1.0) kg/m2 aMD -0.6, 95% CI -1.2,0.0, P = 0.04]. However, this association was not significant after adjustment for gestational diabetes, suggesting that it may be mediated, at least in part, by the beneficial effect of CREBRF rs373863828 A allele on maternal glycemic status.
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Affiliation(s)
| | - Mohanraj Krishnan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Department of Medicine, University of Auckland, Auckland, New Zealand
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rinki Murphy
- Department of Medicine, University of Auckland, Auckland, New Zealand
- Te Whatu Ora, Counties Manukau, Auckland, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland, New Zealand
| | - Karaponi A M Okesene-Gafa
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Te Whatu Ora, Counties Manukau, Auckland, New Zealand
| | - Maria Ji
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - John M D Thompson
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Department of Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand
| | - Rennae S Taylor
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - Tony R Merriman
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Elaine Rush
- Faculty of Health and Environmental Science, Auckland University of Technology, Auckland, New Zealand
| | - Megan McCowan
- Te Whatu Ora, Counties Manukau, Auckland, New Zealand
| | - Lesley M E McCowan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Te Whatu Ora, Counties Manukau, Auckland, New Zealand
| | - Christopher J D McKinlay
- Te Whatu Ora, Counties Manukau, Auckland, New Zealand.
- Department of Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand.
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Cruciat G, Florian AR, Chaikh-Sulaiman MS, Staicu A, Caracostea GV, Procopciuc LM, Stamatian F, Muresan D. TCF7L2 Polymorphism rs7903146 (C/T) and Gestational Diabetes Influence on Obstetric Outcome: A Romanian Case-Control Study. Int J Mol Sci 2024; 25:4039. [PMID: 38612849 PMCID: PMC11012241 DOI: 10.3390/ijms25074039] [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: 02/16/2024] [Revised: 03/25/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is one of the most frequent predictors of obstetric outcome among Romanian pregnant women. Thus, we aimed to investigate the role of rs7903146 (C/T) TCF7L2 gene polymorphism in the presence of GDM and to evaluate the influence on maternal-fetal outcomes in a cohort of pregnant women from Northern Transylvania. Our prospective case-control study was performed in a tertiary maternity center on 61 patients diagnosed with GDM and 55 normal pregnant patients. The patients were genotyped for rs7903146 (C/T) polymorphism of the TCF7L2 gene using the PCR-RFLP method between 24 and 28 weeks of gestation. The minor T allele was associated with a high risk of developing GDM (OR 1.71 [95% CI 0.82-3.59]) if both heterozygote and homozygote types were considered. Also, a higher risk of developing GDM was observed in homozygous carriers (OR 3.26 [95% CI 1.10-9.68]). Women with the TT genotype were more likely to require insulin therapy during pregnancy than other genotypes with a 5.67-fold increased risk ([1.61-19.97], p = 0.015). TT homozygote type was significantly associated with fetal macrosomia for birth weights greater than the 95th percentile (p = 0.034). The homozygous TT genotype is associated with an increased risk of developing GDM. Also, rs7903146 (C/T) TCF7L2 variant is accompanied by a high probability of developing insulin-dependent gestational diabetes mellitus (ID-GDM). The presence of at least one minor T allele was associated with a higher risk of fetal macrosomia.
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Affiliation(s)
- Gheorghe Cruciat
- Mother and Child Department, Obstetrics and Gynecology I, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, 400347 Cluj-Napoca, Romania; (G.C.); (A.R.F.); (M.-S.C.-S.); (A.S.); (G.V.C.); (D.M.)
| | - Andreea Roxana Florian
- Mother and Child Department, Obstetrics and Gynecology I, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, 400347 Cluj-Napoca, Romania; (G.C.); (A.R.F.); (M.-S.C.-S.); (A.S.); (G.V.C.); (D.M.)
| | - Mariam-Suzana Chaikh-Sulaiman
- Mother and Child Department, Obstetrics and Gynecology I, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, 400347 Cluj-Napoca, Romania; (G.C.); (A.R.F.); (M.-S.C.-S.); (A.S.); (G.V.C.); (D.M.)
| | - Adelina Staicu
- Mother and Child Department, Obstetrics and Gynecology I, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, 400347 Cluj-Napoca, Romania; (G.C.); (A.R.F.); (M.-S.C.-S.); (A.S.); (G.V.C.); (D.M.)
| | - Gabriela Valentina Caracostea
- Mother and Child Department, Obstetrics and Gynecology I, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, 400347 Cluj-Napoca, Romania; (G.C.); (A.R.F.); (M.-S.C.-S.); (A.S.); (G.V.C.); (D.M.)
| | - Lucia Maria Procopciuc
- Department of Medical Biochemistry, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, 400347 Cluj-Napoca, Romania
| | | | - Daniel Muresan
- Mother and Child Department, Obstetrics and Gynecology I, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, 400347 Cluj-Napoca, Romania; (G.C.); (A.R.F.); (M.-S.C.-S.); (A.S.); (G.V.C.); (D.M.)
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Liao J, Yu C, Cai J, Tian R, Li X, Wang H, Li L, Song G, Fu L, Li X, Ge Q, Zhang L, Liu Z, Xiao C. The association between artificial light at night and gestational diabetes mellitus: A prospective cohort study from China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170849. [PMID: 38350570 DOI: 10.1016/j.scitotenv.2024.170849] [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: 09/20/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND Emerging evidence suggests that exposure to outdoor artificial light at night (ALAN) may be associated with diabetes. However, limited research explores the relationship between outdoor ALAN and gestational diabetes mellitus (GDM). METHODS We utilized data from a multilevel infant and early life cohort study conducted in Sichuan Province, China, between February 2018 and April 2021. A total of 9,120 participants were included in the final analysis. Outdoor ALAN exposure at participants' residential locations was estimated using time-varying satellite data, focusing on persistent night-time illumination at a scale of approximately 500x500m. The information about GDM was obtained from medical records. After adjusting for potential confounders, multivariable logistic regression models and restricted cubic splines were employed to estimate the association between ALAN exposure during pregnancy and GDM. RESULTS Among the total recruitments, 1,484 (16.27%) women were diagnosed with GDM. Compared to women without GDM, those with GDM had a significantly higher mean outdoor ALAN exposure during pregnancy (18.98 nW/cm2/sr1 vs 24.28 nW/cm2/sr1, P < 0.001). Results from multivariable logistic models showed that higher outdoor ALAN exposure during pregnancy could increase the risk of GDM (OR (95% CI) 1st+2nd trimesters ALAN = 1.253 (1.157-1.356)). Meanwhile, results from the restricted cubic spline further indicated a non-linear association between outdoor ALAN exposure during pregnancy and GDM. Generally, with the radiance of the first two trimesters of ALAN increasing to about 17.9 nW/cm2/sr1, outdoor ALAN exposure became a risk factor for GDM. However, when the radiance of ALAN reached about 40.7 nW/cm2/sr1, the continued increasing OR estimation (OR (95% CI) = 1.489 (1.223-1.814)) of outdoor ALAN changed to steady. CONCLUSION Our findings suggested that high levels of outdoor ALAN exposure during pregnancy can be associated with an increased risk of GDM, and a non-linear relationship pattern might exist. These findings substantially augment existing evidence, positing outdoor ALAN as an emergent, modifiable risk factor for GDM.
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Affiliation(s)
- Junhao Liao
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Chuan Yu
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Jiarui Cai
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Run Tian
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Xingyue Li
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Hong Wang
- Department of Child Health, Sichuan Provincial Maternal and Child Health Care Hospital, China
| | - Lin Li
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University; Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Guishuang Song
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Leyao Fu
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Xinxi Li
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Qiaoyue Ge
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Ling Zhang
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China; Med-X center for Materials, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Zhenmi Liu
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University; Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
| | - Chenghan Xiao
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University; Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
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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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Zeng Q, Tan B, Han F, Huang X, Huang J, Wei Y, Guo R. Association of solute carrier family 30 A8 zinc transporter gene variations with gestational diabetes mellitus risk in a Chinese population. Front Endocrinol (Lausanne) 2023; 14:1159714. [PMID: 37324267 PMCID: PMC10266221 DOI: 10.3389/fendo.2023.1159714] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/12/2023] [Indexed: 06/17/2023] Open
Abstract
Background The solute carrier family 30 A8 zinc transporter (SLC30A8) plays a crucial role in insulin secretion. This study aimed to investigate the impact of SLC30A8 gene polymorphisms on gestational diabetes mellitus (GDM). Methods The research objective was to select 500 patients with GDM and 502 control subjects. Rs13266634 and rs2466293 were genotyped using the SNPscan™ genotyping assay. Statistical tests, such as the chi-square test, t-test, logistic regression, ANOVA, and meta-analysis, were conducted to determine the differences in genotypes, alleles, and their associations with GDM risk. Results Statistically significant differences were observed in age, pregestational BMI, SBP, DBP, and parity between individuals with GDM and healthy subjects (P < 0.05). After adjusting for these factors, rs2466293 remained significantly associated with an increased risk of GDM in overall subjects (GG+AG vs. AA: OR = 1.310; 95% CI: 1.005-1.707; P = 0.046, GG vs. AA: OR = 1.523; 95% CI: 1.010-2.298; P = 0.045 and G vs. A: OR = 1.249; 95% CI: 1.029-1.516; P = 0.024). Rs13266634 was still found to be significantly associated with a decreased risk of GDM in individuals aged ≥ 30 years (TT vs. CT+CC: OR = 0.615; 95% CI: 0.392-0.966; P = 0.035, TT vs. CC: OR = 0.503; 95% CI: 0.294-0.861; P = 0.012 and T vs. C: OR =0.723; 95% CI: 0.557-0.937; P = 0.014). Additionally, the haplotype CG was found to be associated with a higher risk of GDM (P < 0.05). Furthermore, pregnant women with the CC or CT genotype of rs13266634 exhibited significantly higher mean blood glucose levels than those with the TT genotype (P < 0.05). Our findings were further validated by the results of a meta-analysis. Conclusion The SLC30A8 rs2466293 polymorphism was found to be associated with an increased risk of GDM, while rs13266634 was associated with a decreased risk of GDM in individuals aged ≥ 30 years. These findings provide a theoretical basis for GDM testing.
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Affiliation(s)
- Qiaoli Zeng
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Maternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Bing Tan
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Department of Endocrinology, Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Fengqiong Han
- Department of Obstetric, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Xiujuan Huang
- Department of Children’s Health, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Jinzhi Huang
- Department of Gynaecology, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Yue Wei
- Department of Ultrasound, 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, Guangdong, China
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Maternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
- Department of Endocrinology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
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Alshammary AF, Al-Hakeem MM, Ali Khan I. Saudi Community-Based Screening Study on Genetic Variants in β-Cell Dysfunction and Its Role in Women with Gestational Diabetes Mellitus. Genes (Basel) 2023; 14:924. [PMID: 37107681 PMCID: PMC10137495 DOI: 10.3390/genes14040924] [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: 03/08/2023] [Revised: 04/07/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Diabetes (hyperglycemia) is defined as a multifactorial metabolic disorder in which insulin resistance and defects in pancreatic β-cell dysfunction are two major pathophysiologic abnormalities that underpin towards gestational diabetes mellitus (GDM). TCF7L2, KCNQ1, and KCNJ11 genes are connected to the mechanism of β-cell dysfunction. The purpose of this study was to investigate the genes associated with β-cell dysfunction and their genetic roles in the rs7903146, rs2237892, and rs5219 variants in Saudi women diagnosed with type 2 diabetes mellitus and GDM. MATERIALS AND METHODS In this case-control study, 100 women with GDM and 100 healthy volunteers (non-GDM) were recruited. Genotyping was performed using polymerase chain reaction (PCR), followed by restriction fragment length analysis. Validation was performed using Sanger sequencing. Statistical analyses were performed using multiple software packages. RESULTS Clinical studies showed a β-cell dysfunction positive association in women with GDM when compared to non-GDM women (p < 0.05). Both rs7903146 (CT vs. CC: OR-2.12 [95%CI: 1.13-3.96]; p = 0.01 & T vs. C: (OR-2.03 [95%CI: 1.32-3.11]; p = 0.001) and rs5219 SNPs (AG vs. AA: OR-3.37 [95%CI: 1.63-6.95]; p = 0.0006 & G vs. A: OR-3.03 [95%CI: 1.66-5.52]; p = 0.0001) showed a positive association with genotype and allele frequencies in women with GDM. ANOVA analysis confirmed that weight (p = 0.02), BMI (p = 0.01), and PPBG (p = 0.003) were associated with rs7903146 and BMI (p = 0.03) was associated with rs2237892 SNPs. CONCLUSIONS This study confirms that the SNPs rs7903146 (TCF7L2) and rs5219 (KCNJ11) are strongly associated with GDM in the Saudi population. Future studies should address the limitations of this study.
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Affiliation(s)
- Amal F. Alshammary
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
| | - Malak Mohammed Al-Hakeem
- Department of Obstetrics and Gynecology, College of Medicine, King Khalid University Hospital, Riyadh 11451, Saudi Arabia
| | - Imran Ali Khan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
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Grupe K, Scherneck S. Mouse Models of Gestational Diabetes Mellitus and Its Subtypes: Recent Insights and Pitfalls. Int J Mol Sci 2023; 24:ijms24065982. [PMID: 36983056 PMCID: PMC10058162 DOI: 10.3390/ijms24065982] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/16/2023] [Accepted: 03/20/2023] [Indexed: 03/30/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is currently the most common complication of pregnancy and is defined as a glucose intolerance disorder with recognition during pregnancy. GDM is considered a uniform group of patients in conventional guidelines. In recent years, evidence of the disease's heterogeneity has led to a growing understanding of the value of dividing patients into different subpopulations. Furthermore, in view of the increasing incidence of hyperglycemia outside pregnancy, it is likely that many cases diagnosed as GDM are in fact patients with undiagnosed pre-pregnancy impaired glucose tolerance (IGT). Experimental models contribute significantly to the understanding of the pathogenesis of GDM and numerous animal models have been described in the literature. The aim of this review is to provide an overview of the existing mouse models of GDM, in particular those that have been obtained by genetic manipulation. However, these commonly used models have certain limitations in the study of the pathogenesis of GDM and cannot fully describe the heterogeneous spectrum of this polygenic disease. The polygenic New Zealand obese (NZO) mouse is introduced as a recently emerged model of a subpopulation of GDM. Although this strain lacks conventional GDM, it exhibits prediabetes and an IGT both preconceptionally and during gestation. In addition, it should be emphasized that the choice of an appropriate control strain is of great importance in metabolic studies. The commonly used control strain C57BL/6N, which exhibits IGT during gestation, is discussed in this review as a potential model of GDM.
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Affiliation(s)
- Katharina Grupe
- Institute of Pharmacology, Toxicology and Clinical Pharmacy, Technische Universität Braunschweig, Mendelssohnstraße 1, D-38106 Braunschweig, Germany
| | - Stephan Scherneck
- Institute of Pharmacology, Toxicology and Clinical Pharmacy, Technische Universität Braunschweig, Mendelssohnstraße 1, D-38106 Braunschweig, Germany
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Karami M, Mousavi SH, Rafiee M, Heidari R, Shahrokhi SZ. Biochemical and molecular biomarkers: unraveling their role in gestational diabetes mellitus. Diabetol Metab Syndr 2023; 15:5. [PMID: 36631877 PMCID: PMC9832639 DOI: 10.1186/s13098-023-00980-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/05/2023] [Indexed: 01/12/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is the most prevalent metabolic disorder during pregnancy, causing short- and long-term complications for both mother and baby. GDM is a multifactorial disease, and it may be affected by interactions between genetic, epigenetic, and environmental factors. However, the exact etiology is poorly understood. Despite the high prevalence of GDM, there is still debate regarding the optimal time for screening, the diagnostic threshold to apply, and the best strategies for treatment. Identifying effective strategies for therapeutic purposes as well as accurate biomarkers for prognostic and diagnostic purposes will reduce the GDM incidence and improve its management. In recent years, new biochemical and molecular biomarkers such as microRNAs, single-nucleotide polymorphisms, and DNA methylation have received great interest in the diagnosis of GDM. In this review, we discuss current and future diagnostic approaches for the detection of GDM and evaluate lifestyle and pharmacological strategies for GDM prevention.
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Affiliation(s)
- Masoumeh Karami
- Department of Biochemistry, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Seyyed Hossein Mousavi
- Department of Cardiology, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Mohammad Rafiee
- Department of Medical Laboratory Sciences, School of Paramedical Sciences, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Reza Heidari
- Medical Biotechnology Research Center, AJA University of Medical Sciences, Tehran, Iran
- Research Center for Cancer Screening and Epidemiology, AJA University of Medical Sciences, Tehran, Iran
| | - Seyedeh Zahra Shahrokhi
- Department of Biochemistry, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
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Svyatova G, Berezina G, Danyarova L, Kuanyshbekova R, Urazbayeva G. Genetic predisposition to gestational diabetes mellitus in the Kazakh population. Diabetes Metab Syndr 2022; 16:102675. [PMID: 36427366 DOI: 10.1016/j.dsx.2022.102675] [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: 09/16/2022] [Revised: 11/08/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS The purpose of the study was to conduct a comparative analysis of population frequencies of alleles and genotypes of polymorphic variants of genes for impaired insulin synthesis and associated with insulin signal transduction. METHODS This investigation uses a genomic database of 1800 conditionally healthy individuals of Kazakh ethnicity, who underwent full genome genotyping using OmniChip 2.5-8 Illumina chips of ∼2.5 million Single Nucleotide Polymorphism at deCODE Iceland Genomic Centre. RESULTS The highest frequency of carriage of minor A allele - 17.6% rs4607517 polymorphism of Glucokinase gene, unfavorable genotypes A/G - 29.5% and A/A - 3.0% in comparison with European and Asian populations, indicates a contribution of hereditary family forms of Maturity-onset diabetes of the young type 2 to gestational diabetes mellitus in Kazakh population. CONCLUSIONS The study of the associations of genetic markers of gestational diabetes mellitus will allow timely identification of high-risk groups before and at an early stage of pregnancy, carrying out the necessary effective preventive measures and, in the case of gestational diabetes mellitus development, optimizing the correction of carbohydrate metabolism disorders and predicting outcomes for the mother and the fetus.
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Affiliation(s)
- Gulnara Svyatova
- Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
| | - Galina Berezina
- Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
| | - Laura Danyarova
- Department of Scientific Research Management, Scientific-Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan.
| | - Roza Kuanyshbekova
- Scientific-Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - Gulfairuz Urazbayeva
- Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
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Changalidis AI, Maksiutenko EM, Barbitoff YA, Tkachenko AA, Vashukova ES, Pachuliia OV, Nasykhova YA, Glotov AS. Aggregation of Genome-Wide Association Data from FinnGen and UK Biobank Replicates Multiple Risk Loci for Pregnancy Complications. Genes (Basel) 2022; 13:genes13122255. [PMID: 36553520 PMCID: PMC9777867 DOI: 10.3390/genes13122255] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/20/2022] [Accepted: 11/23/2022] [Indexed: 12/02/2022] Open
Abstract
Complications endangering mother or fetus affect around one in seven pregnant women. Investigation of the genetic susceptibility to such diseases is of high importance for better understanding of the disease biology as well as for prediction of individual risk. In this study, we collected and analyzed GWAS summary statistics from the FinnGen cohort and UK Biobank for 24 pregnancy complications. In FinnGen, we identified 11 loci associated with pregnancy hypertension, excessive vomiting, and gestational diabetes. When UK Biobank and FinnGen data were combined, we discovered six loci reaching genome-wide significance in the meta-analysis. These include rs35954793 in FGF5 (p=6.1×10-9), rs10882398 in PLCE1 (p=8.9×10-9), and rs167479 in RGL3 (p=5.2×10-9) for pregnancy hypertension, rs10830963 in MTNR1B (p=4.5×10-41) and rs36090025 in TCF7L2 (p=3.4×10-15) for gestational diabetes, and rs2963457 in the EBF1 locus (p=6.5×10-9) for preterm birth. In addition to the identified genome-wide associations, we also replicated 14 out of 40 previously reported GWAS markers for pregnancy complications, including four more preeclampsia-related variants. Finally, annotation of the GWAS results identified a causal relationship between gene expression in the cervix and gestational hypertension, as well as both known and previously uncharacterized genetic correlations between pregnancy complications and other traits. These results suggest new prospects for research into the etiology and pathogenesis of pregnancy complications, as well as early risk prediction for these disorders.
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Affiliation(s)
- Anton I. Changalidis
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
- Faculty of Software Engineering and Computer Systems, ITMO University, 197101 St. Petersburg, Russia
| | - Evgeniia M. Maksiutenko
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
- Dpt. of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Yury A. Barbitoff
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
- Dpt. of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia
- Correspondence: (Y.A.B.); (A.S.G.)
| | - Alexander A. Tkachenko
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
| | - Elena S. Vashukova
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
| | - Olga V. Pachuliia
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
| | - Yulia A. Nasykhova
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
| | - Andrey S. Glotov
- Dpt. of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
- Correspondence: (Y.A.B.); (A.S.G.)
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12
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Lu W, Hu C. Molecular biomarkers for gestational diabetes mellitus and postpartum diabetes. Chin Med J (Engl) 2022; 135:1940-1951. [PMID: 36148588 PMCID: PMC9746787 DOI: 10.1097/cm9.0000000000002160] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Indexed: 11/25/2022] Open
Abstract
ABSTRACT Gestational diabetes mellitus (GDM) is a growing public health problem worldwide that threatens both maternal and fetal health. Identifying individuals at high risk for GDM and diabetes after GDM is particularly useful for early intervention and prevention of disease progression. In the last decades, a number of studies have used metabolomics, genomics, and proteomic approaches to investigate associations between biomolecules and GDM progression. These studies clearly demonstrate that various biomarkers reflect pathological changes in GDM. The established markers have potential use as screening and diagnostic tools in GDM and in postpartum diabetes research. In the present review, we summarize recent studies of metabolites, single-nucleotide polymorphisms, microRNAs, and proteins associated with GDM and its transition to postpartum diabetes, with a focus on their predictive value in screening and diagnosis.
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Affiliation(s)
- Wenqian Lu
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510630, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai 201400, China
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510630, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai 201400, China
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Effects of Probiotic Supplementation during Pregnancy on the Future Maternal Risk of Metabolic Syndrome. Int J Mol Sci 2022; 23:ijms23158253. [PMID: 35897822 PMCID: PMC9330652 DOI: 10.3390/ijms23158253] [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: 07/04/2022] [Revised: 07/21/2022] [Accepted: 07/23/2022] [Indexed: 12/12/2022] Open
Abstract
Probiotics are live microorganisms that induce health benefits in the host. Taking probiotics is generally safe and well tolerated by pregnant women and their children. Consumption of probiotics can result in both prophylactic and therapeutic effects. In healthy adult humans, the gut microbiome is stable at the level of the dominant taxa: Bacteroidetes, Firmicutes and Actinobacteria, and has a higher presence of Verrucomicrobia. During pregnancy, an increase in the number of Proteobacteria and Actinobacteria phyla and a decrease in the beneficial species Roseburia intestinalis and Faecalibacterium prausnitzii are observed. Pregnancy is a "window" to the mother's future health. The aim of this paper is to review studies assessing the potentially beneficial effects of probiotics in preventing the development of diseases that appear during pregnancy, which are currently considered as risk factors for the development of metabolic syndrome, and consequently, reducing the risk of developing maternal metabolic syndrome in the future. The use of probiotics in gestational diabetes mellitus, preeclampsia and excessive gestational weight gain is reviewed. Probiotics are a relatively new intervention that can prevent the development of these disorders during pregnancy, and thus, would reduce the risk of metabolic syndrome resulting from these disorders in the mother's future.
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She L, Li W, Guo Y, Zhou J, Liu J, Zheng W, Dai A, Chen X, Wang P, He H, Zhang P, Zeng J, Xiang B, Li S, Wang L, Dai Q, Yang M. Association of glucokinase gene and glucokinase regulatory protein gene polymorphisms with gestational diabetes mellitus: A case-control study. Gene X 2022; 824:146378. [PMID: 35276241 DOI: 10.1016/j.gene.2022.146378] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 02/10/2022] [Accepted: 02/24/2022] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVES The aim of this study was to investigate the association of glucokinase (GCK) gene, glucokinase regulatory protein (GCKR) gene polymorphisms with the susceptibility to GDM in Chinese population. RESEARCH DESIGN AND METHODS This case-control study included 835 GDM patients and 870 non-diabetic pregnant women who had their prenatal examinations at 24-28 gestational weeks at the Maternal and Child Health Hospital of Hubei Province from January 15, 2018 to March 31, 2019. The nurses were trained to collect clinical information and blood samples. The candidate single nucleotide polymorphism (SNPs, GCK rs1799884, rs4607517, rs10278336, rs2268574, rs730497 and GCKR rs780094, rs1260326) were genotyped on Sequenom Massarray platform. Statistical analysis including independent sample t test, chi-square test, logistic regression and one-way ANOVA were performed to evaluate the differences in allele and genotype distributions and their correlations with the odds of GDM. RESULTS There were statistically significant differences in age, pre-gestational BMI, education level and family history of diabetes between case and control group (P < 0.05). After adjusting for these confounders, GCK rs1799884 was still significantly associated with GDM (P < 0.05), but there were no significant associations between rs4607517, rs10278336 and rs2268574, rs780094 and rs1260326 polymorphisms and GDM odds (P > 0.05). In addition, the pregnant women with rs4607517 TT genotype had the significantly higher fasting blood glucose level than CC genotype (P < 0.05). CONCLUSION GCK rs1799884 mutation is associated with higher GDM odds in Chinese population. Further larger studies are needed to explore the association between GCK and GCKR polymorphisms and GDM susceptibility.
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Affiliation(s)
- Lu She
- School of Medicine, Wuhan University of Science and Technology, No.947, Heping Road, Wuhan, China
| | - Wei Li
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, No.745 Wuluo Road, Wuhan, China
| | - Yan Guo
- Wuhan Centers for Disease Control and Prevention, No.288 Machang Road, Wuhan, China
| | - Jia Zhou
- Maternal and Child Health Hospital of Chongqing Yubei, No. 71 ShuanghuZhi Road, Chongqing, China
| | - Jianqiong Liu
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, No.745 Wuluo Road, Wuhan, China
| | - Wenpei Zheng
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, No.745 Wuluo Road, Wuhan, China
| | - Anna Dai
- School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan, China
| | - Xiaohong Chen
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, No.745 Wuluo Road, Wuhan, China
| | - Ping Wang
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, No.745 Wuluo Road, Wuhan, China
| | - Hua He
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, No.745 Wuluo Road, Wuhan, China
| | - Pei Zhang
- School of Medicine, Wuhan University of Science and Technology, No.947, Heping Road, Wuhan, China
| | - Jing Zeng
- School of Medicine, Wuhan University of Science and Technology, No.947, Heping Road, Wuhan, China
| | - Bing Xiang
- School of Medicine, Wuhan University of Science and Technology, No.947, Heping Road, Wuhan, China
| | - Shiyu Li
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, No.745 Wuluo Road, Wuhan, China
| | - Liang Wang
- Wuhan Centers for Disease Control and Prevention, No.288 Machang Road, Wuhan, China
| | - Qiong Dai
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, No.745 Wuluo Road, Wuhan, China.
| | - Mei Yang
- School of Medicine, Wuhan University of Science and Technology, No.947, Heping Road, Wuhan, China.
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15
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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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van Poppel MNM, Corcoy R, Hill D, Simmons D, Mendizabal L, Zulueta M, Simon L, Desoye G. Interaction between rs10830962 polymorphism in MTNR1B and lifestyle intervention on maternal and neonatal outcomes: secondary analyses of the DALI lifestyle randomized controlled trial. Am J Clin Nutr 2022; 115:388-396. [PMID: 34669935 DOI: 10.1093/ajcn/nqab347] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/12/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Interactions between polymorphisms of the melatonin receptor 1B (MTNR1B) gene and lifestyle intervention for gestational diabetes have been described. Whether these are specific for physical activity or the healthy eating intervention is unknown. OBJECTIVES The aim was to assess the interaction between MTNR1B rs10830962 and rs10830963 polymorphisms and lifestyle interventions during pregnancy. METHODS Women with a BMI (in kg/m2) of ≥29 (n = 436) received counseling on healthy eating (HE), physical activity (PA), or both. The control group received usual care. This secondary analysis had a factorial design with comparison of HE compared with no HE and PA compared with no PA. Maternal outcomes at 24-28 wk were gestational weight gain (GWG), maternal fasting glucose, insulin, insulin resistance (HOMA-IR), disposition index, and development of GDM. Neonatal outcomes were cord blood leptin and C-peptide and estimated neonatal fat percentage. The interaction between receiving either the HE or PA intervention and genotypes of both rs10830962 and rs10830963 was assessed using multilevel regression analysis. RESULTS GDM risk was increased in women homozygous for the G allele of rs10830962 (OR: 2.60; 95% CI: 1.34, 5.06) or rs10830963 (OR: 2.83; 95% CI: 1.24, 6.47). Significant interactions between rs10830962 and interventions were found: in women homozygous for the G allele but not in the other genotypes, the PA intervention reduced maternal fasting insulin (β: -0.16; 95% CI: -0.33, 0.02; P = 0.08) and HOMA-IR (β: -0.17; 95% CI: -0.35, 0.01; P = 0.06), and reduced cord blood leptin (β: -0.84; 95% CI: -1.42, -0.25; P = 0.01) and C-peptide (β: -0.62; 95% CI: -1.07, -0.17; P = 0.01). In heterozygous women, the HE intervention had no effect, whereas in women homozygous for the C allele, HE intervention reduced GWG (β: -1.6 kg; 95% CI: -2.4, -0.8 kg). No interactions were found. CONCLUSIONS In women homozygous for the risk allele of MTNR1B rs10830962, GDM risk was increased and PA intervention might be more beneficial than HE intervention for reducing maternal insulin resistance, cord blood C-peptide, and cord blood leptin.
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Affiliation(s)
| | - Rosa Corcoy
- Institut de Recerca de l´Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,CIBER Bioengineering, Biomaterials and Nanotechnology, Instituto de Salud Carlos III, Madrid, Spain
| | - David Hill
- Recherche en Santé Lawson SA, Bronschhofen, Switzerland.,Lawson Health Research Institute, London, Ontario, Canada
| | - David Simmons
- Western Sydney University, Campbelltown, New South Wales, Australia.,Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom
| | | | | | - Laureano Simon
- Department of Obstetrics and Gynecology, Medical University Graz, Graz, Austria
| | - Gernot Desoye
- Department of Obstetrics and Gynecology, Medical University Graz, Graz, Austria
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Ouidir M, Zeng X, Chatterjee S, Zhang C, Tekola-Ayele F. Ancestry-Matched and Cross-Ancestry Genetic Risk Scores of Type 2 Diabetes in Pregnant Women and Fetal Growth: A Study in an Ancestrally Diverse Cohort. Diabetes 2022; 71:340-349. [PMID: 34789498 PMCID: PMC8914278 DOI: 10.2337/db21-0655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 11/11/2021] [Indexed: 02/03/2023]
Abstract
Maternal genetic variants associated with offspring birth weight and adult type 2 diabetes (T2D) risk loci show some overlap. Whether T2D genetic risk influences longitudinal fetal weight and the gestational timing when these relationships begin is unknown. We investigated the associations of T2D genetic risk scores (GRS) with longitudinal fetal weight and birth weight among 1,513 pregnant women from four ancestral groups. Women had up to five ultrasonography examinations. Ancestry-matched GRS were constructed separately using 380 European- (GRSeur), 104 African- (GRSafr), and 189 East Asian- (GRSeas) related T2D loci discovered in different population groups. Among European Americans, the highest quartile GRSeur was significantly associated with 53.8 g higher fetal weight (95% CI 19.2-88.5) over the pregnancy. The associations began at gestational week 24 and continued through week 40, with a 106.8 g (95% CI 6.5-207.1) increase in birth weight. The findings were similar in analysis further adjusted for maternal glucose challenge test results. No consistent association was found using ancestry-matched or cross-ancestry GRS in non-Europeans. In conclusion, T2D genetic susceptibility may influence fetal growth starting at midsecond trimester among Europeans. Absence of similar associations in non-Europeans urges the need for further genetic T2D studies in diverse ancestries.
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Affiliation(s)
| | | | | | | | - Fasil Tekola-Ayele
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
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Nikolaev G, Robeva R, Konakchieva R. Membrane Melatonin Receptors Activated Cell Signaling in Physiology and Disease. Int J Mol Sci 2021; 23:ijms23010471. [PMID: 35008896 PMCID: PMC8745360 DOI: 10.3390/ijms23010471] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 02/07/2023] Open
Abstract
The pineal hormone melatonin has attracted great scientific interest since its discovery in 1958. Despite the enormous number of basic and clinical studies the exact role of melatonin in respect to human physiology remains elusive. In humans, two high-affinity receptors for melatonin, MT1 and MT2, belonging to the family of G protein-coupled receptors (GPCRs) have been cloned and identified. The two receptor types activate Gi proteins and MT2 couples additionally to Gq proteins to modulate intracellular events. The individual effects of MT1 and MT2 receptor activation in a variety of cells are complemented by their ability to form homo- and heterodimers, the functional relevance of which is yet to be confirmed. Recently, several melatonin receptor genetic polymorphisms were discovered and implicated in pathology-for instance in type 2 diabetes, autoimmune disease, and cancer. The circadian patterns of melatonin secretion, its pleiotropic effects depending on cell type and condition, and the already demonstrated cross-talks of melatonin receptors with other signal transduction pathways further contribute to the perplexity of research on the role of the pineal hormone in humans. In this review we try to summarize the current knowledge on the membrane melatonin receptor activated cell signaling in physiology and pathology and their relevance to certain disease conditions including cancer.
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Affiliation(s)
- Georgi Nikolaev
- Faculty of Biology, Sofia University “St. Kliment Ohridski”, 1504 Sofia, Bulgaria;
- Correspondence:
| | - Ralitsa Robeva
- Department of Endocrinology, Faculty of Medicine, Medical University, 1431 Sofia, Bulgaria;
| | - Rossitza Konakchieva
- Faculty of Biology, Sofia University “St. Kliment Ohridski”, 1504 Sofia, Bulgaria;
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Liu S. The role of vitamin D receptor gene polymorphisms in gestational diabetes mellitus susceptibility: a meta-analysis. Diabetol Metab Syndr 2021; 13:144. [PMID: 34903261 PMCID: PMC8670261 DOI: 10.1186/s13098-021-00764-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 11/26/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a common disease during pregnancy. The association of vitamin D receptor (VDR) polymorphisms with GDM is still controversial. This study aimed to assess the associations between VDR polymorphisms and GDM risk. METHODS We searched Cochrane Library, PubMed, and Embase electronic database for all eligible studies published from Jan 1, 1980 to December 31, 2020 to conduct a Meta-analysis. We analyzed four VDR polymorphisms: BsmI (rs1544410), ApaI (rs7975232), TaqI (rs731236), and FokI (rs2228570). INCLUSION CRITERIA (1) The data can be evaluated; (2) case-control study; and (3) meeting the Hardy-Weinberg's law. EXCLUSION CRITERIA (1) Insufficient or extractable data; (2) Severe publication bias in the data; and (3) duplicate publications. We eventually included 15 studies in seven articles, including 2207 cases and 2706 controls. RESULTS We eventually included 15 studies in seven articles, including 2207 cases and 2706 controls. The data showed that ApaI (rs7975232) VDR gene polymorphism was related with the risk of GDM for the comparison of CC vs AA and recessive model in overall population and FokI (rs2228570) VDR gene polymorphism was associated with the risk of GDM for recessive model in overall population. BsmI (rs1544410) polymorphism was not related with the risk of GDM in overall population. However, in the analysis of subgroups grouped by race, BsmI (rs1544410) has certain correlations. And, the data suggested the TaqI (rs731236) polymorphism was not associated with GDM. CONCLUSION Based on the meta-analysis, VDR ApaI (rs7975232) and FokI (rs2228570) polymorphisms increase susceptibility to GDM. In the future, it can be used to diagnose and screen molecular biomarkers for GDM patients.
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Affiliation(s)
- Sai Liu
- Department of Emergency, Beijing Luhe Hospital, Capital Medical University, No. 82, Xinhua south road, Tongzhou District, Beijing, 101149, China.
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20
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Liu F, Sui W, Zhou ZF, Mi Y, He TQ, Li ZB, Hong YL, Chen FM. Development of gestational diabetes mellitus in women with periodontitis in early pregnancy: A population-based clinical study. J Clin Periodontol 2021; 49:164-176. [PMID: 34865247 DOI: 10.1111/jcpe.13578] [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] [Received: 06/13/2021] [Revised: 11/10/2021] [Accepted: 11/23/2021] [Indexed: 11/27/2022]
Abstract
AIM This study aimed to determine whether periodontitis in early pregnancy and periodontal therapy during gestation affect the incidence of gestational diabetes mellitus (GDM) through a population-based clinical study. MATERIALS AND METHODS Subjects without periodontitis at 1-4 weeks of gestation who met our inclusion criteria were enrolled in the non-periodontitis group. Periodontitis patients who agreed or refused to receive periodontal therapy during pregnancy were separately enrolled in the periodontitis treated or untreated group. At 12-16 weeks of gestation, gingival crevicular fluid (GCF) and venous blood were collected for analyses of bacterial species and serum inflammatory mediators, respectively. At 24-28 weeks of gestation, GDM patients were identified by oral glucose tolerance tests. The association tests were performed using Chi-squared statistics and regression analyses. RESULTS The complete data of 3523 pregnant women were recorded during the study period. GDM incidence among the untreated periodontitis participants (84/749, 11.21%) was significantly higher than that among the non-periodontitis participants (108/2255, 4.79%) (p < .05), and periodontal treatment during gestation reduced the incidence from 11.21% (untreated group) to 7.32% (38/519, treated group) (p < .05). Based on multiple logistic regression analyses, it was found that periodontitis in early pregnancy was associated with GDM, and three-step regression analyses showed that Porphyromonas gingivalis (P. gingivalis) and the serum TNF-α and IL-8 levels played a role in the association between untreated periodontitis and GDM. Furthermore, Pearson's correlation test indicated that the existence of P. gingivalis in GCF was positively correlated with high serum levels of these two inflammatory mediators. CONCLUSIONS This study establishes a connection between periodontitis in early pregnancy and GDM and demonstrates that the presence of P. gingivalis is associated with high levels of inflammatory mediators in serum, and thereby may contribute to the development of GDM. In-depth mechanistic studies are needed to further support these findings.
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Affiliation(s)
- Fen Liu
- Stomatology Center, Shenzhen Hospital, Southern Medical University, Shenzhen, China.,Department of Stomatology, Northwest Women's and Children's Hospital, Xi'an, China.,State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Periodontology, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Wen Sui
- Stomatology Center, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Zhi-Fei Zhou
- Department of Stomatology, General Hospital of Tibetan Military Command, Lhasa, China
| | - Yang Mi
- Department of Obstetrics, Northwest Women's and Children's Hospital, Xi'an, China
| | - Tong-Qiang He
- Department of Obstetrics, Northwest Women's and Children's Hospital, Xi'an, China
| | - Zhi-Bin Li
- Department of Obstetrics, Northwest Women's and Children's Hospital, Xi'an, China
| | - Yong-Long Hong
- Stomatology Center, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Fa-Ming Chen
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Periodontology, School of Stomatology, Fourth Military Medical University, Xi'an, China
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21
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Liguori F, Mascolo E, Vernì F. The Genetics of Diabetes: What We Can Learn from Drosophila. Int J Mol Sci 2021; 22:ijms222011295. [PMID: 34681954 PMCID: PMC8541427 DOI: 10.3390/ijms222011295] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/12/2021] [Accepted: 10/16/2021] [Indexed: 12/14/2022] Open
Abstract
Diabetes mellitus is a heterogeneous disease characterized by hyperglycemia due to impaired insulin secretion and/or action. All diabetes types have a strong genetic component. The most frequent forms, type 1 diabetes (T1D), type 2 diabetes (T2D) and gestational diabetes mellitus (GDM), are multifactorial syndromes associated with several genes’ effects together with environmental factors. Conversely, rare forms, neonatal diabetes mellitus (NDM) and maturity onset diabetes of the young (MODY), are caused by mutations in single genes. Large scale genome screenings led to the identification of hundreds of putative causative genes for multigenic diabetes, but all the loci identified so far explain only a small proportion of heritability. Nevertheless, several recent studies allowed not only the identification of some genes as causative, but also as putative targets of new drugs. Although monogenic forms of diabetes are the most suited to perform a precision approach and allow an accurate diagnosis, at least 80% of all monogenic cases remain still undiagnosed. The knowledge acquired so far addresses the future work towards a study more focused on the identification of diabetes causal variants; this aim will be reached only by combining expertise from different areas. In this perspective, model organism research is crucial. This review traces an overview of the genetics of diabetes and mainly focuses on Drosophila as a model system, describing how flies can contribute to diabetes knowledge advancement.
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Affiliation(s)
- Francesco Liguori
- Preclinical Neuroscience, IRCCS Santa Lucia Foundation, 00143 Rome, Italy;
| | - Elisa Mascolo
- Department of Biology and Biotechnology “Charles Darwin”, Sapienza University, 00185 Rome, Italy;
| | - Fiammetta Vernì
- Department of Biology and Biotechnology “Charles Darwin”, Sapienza University, 00185 Rome, Italy;
- Correspondence:
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22
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Zapater JL, Lednovich KR, Layden BT. The Role of Hexokinase Domain Containing Protein-1 in Glucose Regulation During Pregnancy. Curr Diab Rep 2021; 21:27. [PMID: 34232412 PMCID: PMC8867521 DOI: 10.1007/s11892-021-01394-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/28/2021] [Indexed: 01/22/2023]
Abstract
PURPOSE OF REVIEW Gestational diabetes mellitus (GDM) is a common pregnancy complication conferring an increased risk to the individual of developing type 2 diabetes. As such, a thorough understanding of the pathophysiology of GDM is warranted. Hexokinase domain containing protein-1 (HKDC1) is a recently discovered protein containing hexokinase activity which has been shown to be associated with glucose metabolism during pregnancy. Here, we discuss recent evidence suggesting roles for the novel HKDC1 in gestational glucose homeostasis and the development of GDM and overt diabetes. RECENT FINDINGS Genome-wide association studies identified variants of the HKDC1 gene associated with maternal glucose metabolism. Studies modulating HKDC1 protein expression in pregnant mice demonstrate that HKDC1 has roles in whole-body glucose utilization and nutrient balance, with liver-specific HKDC1 influencing insulin sensitivity, glucose tolerance, gluconeogenesis, and ketone production. HKDC1 has important roles in maintaining maternal glucose homeostasis extending beyond traditional hexokinase functions and may serve as a potential therapeutic target.
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Affiliation(s)
- Joseph L Zapater
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Illinois at Chicago, Chicago, IL, USA
| | - Kristen R Lednovich
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Illinois at Chicago, Chicago, IL, USA
| | - Brian T Layden
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, University of Illinois at Chicago, Chicago, IL, USA.
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23
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Tranidou A, Dagklis T, Tsakiridis I, Siargkas A, Apostolopoulou A, Mamopoulos A, Goulis DG, Chourdakis M. Risk of developing metabolic syndrome after gestational diabetes mellitus - a systematic review and meta-analysis. J Endocrinol Invest 2021; 44:1139-1149. [PMID: 33226626 DOI: 10.1007/s40618-020-01464-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 10/30/2020] [Indexed: 12/29/2022]
Abstract
PURPOSE A systematic review and meta-analysis were conducted to quantitatively synthesize the current evidence regarding the risk of developing metabolic syndrome (MetS) in women with a personal history of gestational diabetes mellitus (GDM), without pre-existing diabetes, compared with those without a history of GDM. METHODS Four electronic databases [MEDLINE (via PubMed), Scopus, Cochrane Library, PROSPERO] were searched for relevant literature until July 29th 2020. Cochran's Q test was applied for the assessment of heterogeneity. The random-effects model was applied by calculating the odds ratio (OR) and 95% confidence interval (CI) for each study. Publication bias was estimated with Egger's linear regression test. RESULTS The results from 23 studies (10,230 pregnant women; 5169 cases, 5061 controls), indicated that women with a history of GDM had a higher risk of developing MetS compared with those without such a history (OR 3.45; 95% CI 2.80-4.25, p < 0.0001). This risk remained higher, independently of maternal age and ethnicity (although the risk was not as high in Asians; OR 2.11; 95% CI 1.27-3.52). The risk of developing MetS was even higher in studies where women with GDM had increased body mass index (BMI) compared with the controls (OR 4.14; 95% CI 3.18-5.38). CONCLUSIONS The risk for developing MetS following delivery is higher in women with a history of GDM compared with women without such a history. Timely recognition and appropriate intervention are critical to halt progression to MetS and its associated morbidity.
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Affiliation(s)
- A Tranidou
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - T Dagklis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - I Tsakiridis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Siargkas
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Apostolopoulou
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Mamopoulos
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - D G Goulis
- Unit of Reproductive Endocrinology, 1st Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - M Chourdakis
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
- Unit of Reproductive Endocrinology, 1st Department of Obstetrics and Gynecology, Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
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24
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Zhang Z, Xu L, Xu X. The role of transcription factor 7-like 2 in metabolic disorders. Obes Rev 2021; 22:e13166. [PMID: 33615650 DOI: 10.1111/obr.13166] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 10/08/2020] [Accepted: 10/08/2020] [Indexed: 12/13/2022]
Abstract
Transcription factor 7-like 2 (TCF7L2), a member of the T cell factor/lymphoid enhancer factor family, generally forms a complex with β-catenin to regulate the downstream target genes as an effector of the canonical Wnt signalling pathway. TCF7L2 plays a vital role in various biological processes and functions in many organs and tissues, including the liver, islet and adipose tissues. Further, TCF7L2 down-regulates hepatic gluconeogenesis and promotes lipid accumulation. In islets, TCF7L2 not only affects the insulin secretion of the β-cells but also has an impact on other cells. In addition, TCF7L2 influences adipogenesis in adipose tissues. Thus, an out-of-control TCF7L2 expression can result in metabolic disorders. The TCF7L2 gene is composed of 17 exons, generating 13 different transcripts, and has many single-nucleotide polymorphisms (SNPs). The discovery that these SNPs have an impact on the risk of type 2 diabetes (T2D) has attracted thorough investigations in the study of TCF7L2. Apart from T2D, TCF7L2 SNPs are also associated with type 1, posttransplant and other types of diabetes. Furthermore, TCF7L2 variants affect the progression of other disorders, such as obesity, cancers, metabolic syndrome and heart diseases. Finally, the interaction between TCF7L2 variants and diet also needs to be investigated.
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Affiliation(s)
- Zhensheng Zhang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou, China.,Zhejiang University School of Medicine, Hangzhou, China
| | - Li Xu
- Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China.,NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou, China.,Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Xu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
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25
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Dommel S, Hoffmann A, Berger C, Kern M, Klöting N, Kannt A, Blüher M. Effects of Whole-Body Adenylyl Cyclase 5 ( Adcy5) Deficiency on Systemic Insulin Sensitivity and Adipose Tissue. Int J Mol Sci 2021; 22:4353. [PMID: 33919448 PMCID: PMC8122634 DOI: 10.3390/ijms22094353] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 04/16/2021] [Indexed: 02/07/2023] Open
Abstract
Genome-wide association studies have identified adenylyl cyclase type 5 (ADCY5) as candidate gene for diabetes-related quantitative traits and an increased risk of type 2 diabetes. Mice with a whole-body deletion of Adcy5 (Adcy5-/-) do not develop obesity, glucose intolerance and insulin resistance, have improved cardiac function and increased longevity. Here, we investigated Adcy5 knockout mice (Adcy5-/-) to test the hypothesis that changes in adipose tissue (AT) may contribute to the reported healthier phenotype. In contrast to previous reports, we found that deletion of Adcy5 did not confer any physiological or biochemical benefits. However, this unexpected finding allowed us to investigate the effects of Adcy5 depletion on AT independently of lower body weight and a metabolically healthier phenotype. Adcy5-/- mice exhibited an increased number of smaller adipocytes, lower mean adipocyte size and a distinct AT gene expression pattern with midline 1 (Mid1) as the most significantly downregulated gene compared to control mice. Our Adcy5-/- model challenges previously described beneficial effects of Adcy5 deficiency and suggests that targeting Adcy5 does not improve insulin sensitivity and may therefore limit the relevance of ADCY5 as potential drug target.
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Affiliation(s)
- Sebastian Dommel
- Medical Center, Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig, 04103 Leipzig, Germany; (S.D.); (C.B.); (N.K.)
| | - Anne Hoffmann
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, 04103 Leipzig, Germany; (A.H.); (M.K.)
| | - Claudia Berger
- Medical Center, Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig, 04103 Leipzig, Germany; (S.D.); (C.B.); (N.K.)
| | - Matthias Kern
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, 04103 Leipzig, Germany; (A.H.); (M.K.)
| | - Nora Klöting
- Medical Center, Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig, 04103 Leipzig, Germany; (S.D.); (C.B.); (N.K.)
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, 04103 Leipzig, Germany; (A.H.); (M.K.)
| | - Aimo Kannt
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, 60596 Frankfurt am Main, Germany;
- Experimental Pharmacology, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
- Sanofi Diabetes Research and Development, 60596 Frankfurt am Main, Germany
| | - Matthias Blüher
- Medical Center, Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig, 04103 Leipzig, Germany; (S.D.); (C.B.); (N.K.)
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, 04103 Leipzig, Germany; (A.H.); (M.K.)
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26
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Gholami M, Amoli MM. Comments on "Effects of MTNR1B Genetic Variants on Individual Susceptibility to Gestational Diabetes Mellitus: A Meta-Analysis". Am J Perinatol 2021; 38:310-312. [PMID: 31563132 DOI: 10.1055/s-0039-1695777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Morteza Gholami
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Obesity and Eating Habits Research Centre, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa M Amoli
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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27
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The overall plant-based diet index during pregnancy and risk of gestational diabetes mellitus: a prospective cohort study in China. Br J Nutr 2021; 126:1519-1528. [PMID: 33468274 DOI: 10.1017/s0007114521000234] [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: 11/06/2022]
Abstract
The high overall plant-based diet index (PDI) is considered to protect against type 2 diabetes in the general population. However, whether the PDI affects gestational diabetes mellitus (GDM) risk among pregnant women is still unclear. We evaluated the association between PDI and GDM risk based on a Chinese large prospective cohort - the Tongji Maternal and Child Health Cohort. Dietary data were collected at 13-28 weeks of pregnancy by a validated semi-quantitative FFQ. The PDI was obtained by assigning plant food groups positive scores while assigning animal food groups reverse scores. GDM was diagnosed by a 75 g 2-h oral glucose tolerance test at 24-28 weeks of gestation. Logistic regression models were fitted to estimate OR of GDM, with associated 95 % CI, comparing women in different PDI quartiles. Among the total 2099 participants, 169 (8·1 %) were diagnosed with GDM. The PDI ranged from 21·0 to 52·0 with a median of 36·0 (interquartile range (IQR) 33·0-39·0). After adjusting for social-demographic characteristics and lifestyle factors etc., the participants with the highest quartile of PDI were associated with 57 % reduced odds of GDM compared with women in the lowest quartile of PDI (adjusted OR 0·43; 95 % CI 0·24, 0·77; Pfor trend = 0·005). An IQR increment in PDI was associated with 29 % decreased odds of GDM (adjusted OR 0·71; 95 % CI 0·56, 0·90). Findings suggest that adopting a plant-based diet during pregnancy could reduce GDM risk among Chinese women, which may be valuable for dietary counselling during pregnancy.
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28
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Popova PV, Klyushina AA, Vasilyeva LB, Tkachuk AS, Vasukova EA, Anopova AD, Pustozerov EA, Gorelova IV, Kravchuk EN, Li O, Pervunina TM, Kostareva AA, Grineva EN. Association of Common Genetic Risk Variants With Gestational Diabetes Mellitus and Their Role in GDM Prediction. Front Endocrinol (Lausanne) 2021; 12:628582. [PMID: 33953693 PMCID: PMC8092356 DOI: 10.3389/fendo.2021.628582] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 03/23/2021] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE We aimed to explore the associations between common genetic risk variants with gestational diabetes mellitus (GDM) risk in Russian women and to assess their utility in the identification of GDM cases. METHODS We conducted a case-control study including 1,142 pregnant women (688 GDM cases and 454 controls) enrolled at Almazov National Medical Research Centre. The International Association of Diabetes and Pregnancy Study Groups criteria were used to diagnose GDM. A total of 11 single- nucleotide polymorphisms (SNPs), including those in HKDC1 (rs10762264), GCK (rs1799884), MTNR1B (rs10830963 and rs1387153), TCF7L2 (rs7903146 and rs12255372), KCNJ11 (rs5219), IGF2BP2 (rs4402960), IRS1 (rs1801278), FTO (rs9939609), and CDKAL1 (rs7754840) were genotyped using Taqman assays. A logistic regression model was used to calculate odds ratios (ORs) and their confidence intervals (CIs). A simple-count genetic risk score (GRS) was calculated using 6 SNPs. The area under the receiver operating characteristic curve (c-statistic) was calculated for the logistic regression model predicting the risk of GDM using clinical covariates, SNPs that had shown a significant association with GDM in our study, GRS, and their combinations. RESULTS Two variants in MTNR1B (rs1387153 and rs10830963) demonstrated a significant association with an increased risk of GDM. The association remained significant after adjustment for age, pre-gestational BMI, arterial hypertension, GDM in history, impaired glucose tolerance, polycystic ovary syndrome, family history of diabetes, and parity (P = 0.001 and P < 0.001, respectively). After being conditioned by each other, the effect of rs1387153 on GDM predisposition weakened while the effect of rs10830963 remained significant (P = 0.004). The risk of GDM was predicted by clinical variables (c-statistic 0.712, 95 % CI: 0.675 - 0.749), and the accuracy of prediction was modestly improved by adding GRS to the model (0.719, 95 % CI 0.682 - 0.755), and more by adding only rs10830963 (0.729, 95 % CI 0.693 - 0.764). CONCLUSION Among 11 SNPs associated with T2D and/or GDM in other populations, we confirmed significant association with GDM for two variants in MTNR1B in Russian women. However, these variants showed limited value in the identification of GDM cases.
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Affiliation(s)
- Polina V. Popova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- Department of Internal Diseases and Endocrinology, St. Petersburg Pavlov State Medical University, Saint Petersburg, Russia
- *Correspondence: Polina V. Popova,
| | | | | | | | | | - Anna D. Anopova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Evgenii A. Pustozerov
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- Department of Biomedical Engineering, Saint Petersburg State Electrotechnical University, Saint Petersburg, Russia
| | - Inga V. Gorelova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | | | - O. Li
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | | | | | - Elena N. Grineva
- Almazov National Medical Research Centre, Saint Petersburg, Russia
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29
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Abstract
PURPOSE OF REVIEW In this review, we summarize studies investigating genetics of gestational diabetes mellitus (GDM) and glucose metabolism in pregnancy. We describe these studies in the context of the larger body of literature on type 2 diabetes (T2D) and glycemic trait genomics. RECENT FINDINGS We reviewed 23 genetic association studies for GDM and performed a meta-analysis, which revealed variants at eight T2D loci significantly associated with GDM after the Bonferroni correction. These studies suggest that GDM and T2D share a number of genetic risk loci. Only two unbiased genome-wide association studies (GWASs) have successfully revealed genetic associations for GDM and related glycemic traits in pregnancy. A GWAS for GDM in Korean women identified two loci (near CDKAL1 and MTNR1B) known to be associated with T2D, though the association of the MTNR1B locus with GDM appears to be stronger than that for T2D. A multi-ethnic GWAS for glycemic traits in pregnancy identified two novel loci (near HKDC1 and BACE2) which appear to be associated with post-load glucose and fasting c-peptide specifically in pregnant women. There are ongoing efforts to use this genetic information, in the form of polygenic scores, to predict risk of GDM and postpartum T2D. The body of literature examining genetic associations with GDM is limited, especially when compared to the available literature on T2D and glycemic trait genomics. Additional genetic discovery for glucose metabolism in pregnant women will require larger pregnancy cohorts and international collaborative efforts. Studies on the clinical implications of these findings are also warranted.
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Affiliation(s)
- Camille E Powe
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Soo Heon Kwak
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
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Sorlí JV, Barragán R, Coltell O, Portolés O, Pascual EC, Ortega-Azorín C, González JI, Estruch R, Saiz C, Pérez-Fidalgo A, Ordovas JM, Corella D. Chronological Age Interacts with the Circadian Melatonin Receptor 1B Gene Variation, Determining Fasting Glucose Concentrations in Mediterranean Populations. Additional Analyses on Type-2 Diabetes Risk. Nutrients 2020; 12:nu12113323. [PMID: 33138317 PMCID: PMC7692445 DOI: 10.3390/nu12113323] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 10/21/2020] [Accepted: 10/24/2020] [Indexed: 12/25/2022] Open
Abstract
Gene-age interactions have not been systematically investigated on metabolic phenotypes and this modulation will be key for a better understanding of the temporal regulation in nutrigenomics. Taking into account that aging is typically associated with both impairment of the circadian system and a decrease in melatonin secretion, we focused on the melatonin receptor 1B (MTNR1B)-rs10830963 C>G variant that has been associated with fasting glucose concentrations, gestational diabetes, and type-2 diabetes. Therefore, our main aim was to investigate whether the association between the MTNR1B-rs10830963 polymorphism and fasting glucose is age dependent. Our secondary aims were to analyze the polymorphism association with type-2 diabetes and explore the gene-pregnancies interactions on the later type-2 diabetes risk. Three Mediterranean cohorts (n = 2823) were analyzed. First, a cross-sectional study in the discovery cohort consisting of 1378 participants (aged 18 to 80 years; mean age 41 years) from the general population was carried out. To validate and extend the results, two replication cohorts consisting of elderly individuals were studied. In the discovery cohort, we observed a strong gene-age interaction (p = 0.001), determining fasting glucose in such a way that the increasing effect of the risk G-allele was much greater in young (p = 5.9 × 10-10) than in elderly participants (p = 0.805). Consistently, the association of the MTNR1B-rs10830963 polymorphism with fasting glucose concentrations in the two replication cohorts (mean age over 65 years) did not reach statistical significance (p > 0.05 for both). However, in the elderly cohorts, significant associations between the polymorphism and type-2 diabetes at baseline were found. Moreover, in one of the cohorts, we obtained a statistically significant interaction between the MTNR1B polymorphism and the number of pregnancies, retrospectively assessed, on the type-2 diabetes risk. In conclusion, the association of the MTNR1B-rs10830963 polymorphism with fasting glucose is age-dependent, having a greater effect in younger people. However, in elderly subjects, associations of the polymorphism with type-2 diabetes were observed and our exploratory analysis suggested a modulatory effect of the number of past pregnancies on the future type-2 diabetes genetic risk.
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Affiliation(s)
- Jose V. Sorlí
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
| | - Rocío Barragán
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
- Department of Medicine, Sleep Center of Excellence, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
| | - Eva C. Pascual
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
| | - Carolina Ortega-Azorín
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
| | - José I. González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
- Department of Internal Medicine, Hospital Clinic, Institut d’Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Villarroel, 170, 08036 Barcelona, Spain
| | - Carmen Saiz
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
| | - Alejandro Pérez-Fidalgo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
- CIBER Cáncer, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Jose M. Ordovas
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA;
- Precision Nutrition and Obesity Program, IMDEA Alimentación, 28049 Madrid, Spain
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.); (R.B.); (O.P.); (E.C.P.); (C.O.-A.); (J.I.G.); (C.S.); (A.P.-F.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (O.C.); (R.E.)
- Correspondence: ; Tel.: +34-96-386-4800
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A functional polymorphism rs10830963 in melatonin receptor 1B associated with the risk of gestational diabetes mellitus. Biosci Rep 2020; 39:221430. [PMID: 31808503 PMCID: PMC6923336 DOI: 10.1042/bsr20190744] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 11/16/2019] [Accepted: 12/04/2019] [Indexed: 12/14/2022] Open
Abstract
The melatonin receptor 1B (MTNR1B) polymorphism rs10830963 C>G has been reported to be associated with the risk of gestational diabetes mellitus (GDM) with inconsistent results. To clarify the effect of the polymorphism on the risk of GDM, a meta-analysis therefore was performed. Pooled OR with its corresponding 95%CI was used to estimate the strength of the association. Totally 14 eligible studies with a number of 5033 GDM patients and 5614 controls were included in this meta-analysis. Results indicated that the variant G allele was significantly associated with an increased GDM risk (CG vs. CC: OR = 1.25, 95% CI = 1.11−1.40, P < 0.001; GG vs. CC: OR = 1.78, 95% CI = 1.45−2.19, P < 0.001; G vs. C: OR = 1.33, 95% CI = 1.21−1.47, P < 0.001). In the stratified analysis by ethnicity, similar results were found in Asians (CG vs. CC: OR = 1.15, 95%CI = 1.02−1.28, P = 0.020; GG vs. CC: OR = 1.52, 95% CI = 1.23−1.89, P < 0.001; G vs. C: OR = 1.23, 95% CI = 1.10−1.37, P < 0.001) and in Caucasians (CG vs. CC: OR = 1.40, 95% CI = 1.16−1.70, P < 0.001; GG vs. CC: OR = 2.21, 95% CI = 1.54−3.17, P < 0.001; G vs. C: OR = 1.47, 95% CI = 1.24−1.73, P < 0.001). FPRP and TSA analyses confirmed findings support that the rs10830963 G allele increases the risk of GDM, and further functional experimental studies are warranted to explore and clarify the potential mechanism.
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Krishnan M, Murphy R, Okesene-Gafa KAM, Ji M, Thompson JMD, Taylor RS, Merriman TR, McCowan LME, McKinlay CJD. The Pacific-specific CREBRF rs373863828 allele protects against gestational diabetes mellitus in Māori and Pacific women with obesity. Diabetologia 2020; 63:2169-2176. [PMID: 32654027 DOI: 10.1007/s00125-020-05202-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 05/06/2020] [Indexed: 01/13/2023]
Abstract
AIMS/HYPOTHESIS The CREBRF rs373863828 minor (A) allele is associated with increased BMI but reduced prevalence of type 2 diabetes in Māori and Pacific people. Given the shared aetiology of type 2 diabetes and gestational diabetes mellitus (GDM), we tested for an association between the CREBRF rs373863828 variant and GDM. METHODS We conducted a prospective cohort study of Māori and Pacific women nested within a nutritional intervention study for pregnant women with obesity. Women were enrolled at 12-17 weeks' gestation and underwent anthropometry and collection of buffy coats for later genetic testing. GDM was diagnosed by 75 g OGTT at 24-28 weeks' gestation using the International Association of Diabetes and Pregnancy Study Groups criteria. Genotyping was performed by real-time PCR with a custom CREBRF rs373863828 probe-set. The association between CREBRF rs373863828 and GDM was analysed separately by ethnic group using logistic regression, with effect estimates combined in a meta-analysis. RESULTS Of 112 Māori and Pacific pregnant women with obesity, 31 (28%) carried the CREBRF rs373863828 A allele (A/G or A/A) and 35 (31%) developed GDM. Women who carried the CREBRF rs373863828 A allele did not differ in BMI when compared with non-carriers (G/G). There was a fivefold reduction in the likelihood of GDM per CREBRF rs373863828 A allele (OR 0.19 [95% CI 0.05, 0.69], p = 0.01), independent of age, BMI and family history of diabetes (adjusted OR 0.13 [95% CI 0.03, 0.53], p = 0.004). GDM was diagnosed in 10% and 40% of women with and without the CREBRF rs373863828 A allele, respectively (no woman with the A/A genotype developed GDM). CONCLUSIONS/INTERPRETATION The CREBRF rs373863828 (A) allele is associated with reduced likelihood of GDM in Māori and Pacific women with obesity and may improve GDM risk prediction. Graphical abstract.
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Affiliation(s)
- Mohanraj Krishnan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Department of Medicine, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
| | - Rinki Murphy
- Department of Medicine, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
- Counties Manukau Health, Auckland, New Zealand.
- Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland, New Zealand.
| | - Karaponi A M Okesene-Gafa
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Counties Manukau Health, Auckland, New Zealand
| | - Maria Ji
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - John M D Thompson
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Department of Paediatrics, University of Auckland, Auckland, New Zealand
| | - Rennae S Taylor
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - Tony R Merriman
- Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland, New Zealand
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Lesley M E McCowan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Counties Manukau Health, Auckland, New Zealand
| | - Christopher J D McKinlay
- Counties Manukau Health, Auckland, New Zealand.
- Liggins Institute, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
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Powe CE, Hivert MF, Udler MS. Defining Heterogeneity Among Women With Gestational Diabetes Mellitus. Diabetes 2020; 69:2064-2074. [PMID: 32843565 PMCID: PMC7506831 DOI: 10.2337/dbi20-0004] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 04/29/2020] [Indexed: 12/17/2022]
Abstract
Attention to precision medicine in type 2 diabetes (T2D) has provided two favored approaches to subclassifying affected individuals and parsing heterogeneity apparent in this condition: phenotype-based and genotype-based. Gestational diabetes mellitus (GDM) shares phenotypic characteristics with T2D. However, unlike T2D, GDM emerges in the setting of profound pregnancy-related physiologic changes in glucose metabolism. T2D and GDM also share common genetic architecture, but there are likely to be unique genetic influences on pregnancy glycemic regulation that contribute to GDM. In this Perspective, we describe efforts to decipher heterogeneity in T2D and detail how we and others are applying approaches developed for T2D to the study of heterogeneity in GDM. Emerging results reveal the potential of phenotype- and genotype-based subclassification of GDM to deliver the promise of precision medicine to the obstetric population.
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Affiliation(s)
- Camille E Powe
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Marie-France Hivert
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Population Medicine, Harvard Pilgrim Healthcare Institute, Boston, MA
| | - Miriam S Udler
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
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Shen Y, Jia Y, Li Y, Gu X, Wan G, Zhang P, Zhang Y, Jiang L. Genetic determinants of gestational diabetes mellitus: a case-control study in two independent populations. Acta Diabetol 2020; 57:843-852. [PMID: 32114639 DOI: 10.1007/s00592-020-01485-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 01/17/2020] [Indexed: 01/25/2023]
Abstract
BACKGROUND Genetic risk score (GRS) is more informative to identify the complicated associations between variants of genes and disease. Considering similar pathogenesis and shared genetic predispositions between gestational diabetes mellitus (GDM) and type 2 diabetes/obesity, we conducted this study to explore whether the GRS model integrating variants related to type 2 diabetes/obesity is also associated with GDM risk. METHODS A population-based case-control study that included 1429 subjects was conducted to investigate the association between the GRS model and GDM risk, which were analyzed employing stratified logistic regression analysis with the adjustment for age, BMI, parity and family history of diabetes. RESULTS We have screened 23 SNPs and further filtered six SNPs that were significantly associated with the risk of GDM: four risk SNPs (MTNR1B: rs10830963, rs1387153, rs2166706; MC4R: rs2229616) and two protective SNPs (MTNR1B: rs1447352 and rs4753426). The GRS model with a higher score indicated a higher genetic predisposition to develop GDM, especially in the highest quartile of GRS (all P < 0.001) and the strata of advanced maternal age (all P < 0.001) and obesity (all P = 0.005). CONCLUSION In this study, six SNPs were explored and further identified to be associated with GDM risk, which suggested GRSs including these polymorphisms might participate in facilitating GDM risk. These findings offer the potential to improve our understanding of the etiology of GDM.
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Affiliation(s)
- Yi Shen
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu Province, People's Republic of China
| | - Yulong Jia
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu Province, People's Republic of China
| | - Yuandong Li
- School of Management, Xuzhou Medical University, Xuzhou, Jiangsu Province, People's Republic of China
| | - Xuefeng Gu
- Shanghai Key Laboratory for Molecular Imaging, University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Guoqing Wan
- Shanghai Key Laboratory for Molecular Imaging, University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Peng Zhang
- School of Clinical Medicine, University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Yafeng Zhang
- Affiliated Hospital of Nantong University, Nantong University, Nantong, Jiangsu Province, People's Republic of China.
| | - Liying Jiang
- Shanghai Key Laboratory for Molecular Imaging, University of Medicine and Health Sciences, Shanghai, People's Republic of China.
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Lamri A, Mao S, Desai D, Gupta M, Paré G, Anand SS. Fine-tuning of Genome-Wide Polygenic Risk Scores and Prediction of Gestational Diabetes in South Asian Women. Sci Rep 2020; 10:8941. [PMID: 32488059 PMCID: PMC7265287 DOI: 10.1038/s41598-020-65360-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 04/23/2020] [Indexed: 12/11/2022] Open
Abstract
Gestational diabetes Mellitus (GDM) affects 1 in 7 births and is associated with numerous adverse health outcomes for both mother and child. GDM is suspected to share a large common genetic background with type 2 diabetes (T2D). The aim of our study was to characterize different GDM polygenic risk scores (PRSs) and test their association with GDM using data from the South Asian Birth Cohort (START). PRSs were derived for 832 South Asian women from START using the pruning and thresholding (P + T), LDpred, and GraBLD methods. Weights were derived from a multi-ethnic and a white Caucasian study of the DIAGRAM consortium. GDM status was defined using South Asian-specific glucose values in response to an oral glucose tolerance test. Association with GDM was tested using logistic regression. Results were replicated in South Asian women from the UK Biobank (UKB) study. The top ranking P + T, LDpred and GraBLD PRSs were all based on DIAGRAM's multi-ethnic study. The best PRS was highly associated with GDM in START (AUC = 0.62, OR = 1.60 [95% CI = 1.44-1.69]), and in South Asian women from UKB (AUC = 0.65, OR = 1.69 [95% CI = 1.28-2.24]). Our results highlight the importance of combining genome-wide genotypes and summary statistics from large multi-ethnic studies to optimize PRSs in South Asians.
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Affiliation(s)
- Amel Lamri
- Department of Medicine, McMaster University Hamilton, Ontario, Canada
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada
| | - Shihong Mao
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada
| | - Dipika Desai
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada
| | - Milan Gupta
- Department of Medicine, McMaster University Hamilton, Ontario, Canada
- Canadian Collaborative Research Network (CCRN), Brampton, ON, Canada
| | - Guillaume Paré
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Sonia S Anand
- Department of Medicine, McMaster University Hamilton, Ontario, Canada.
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada.
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
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Beysel S, Pinarli FA, Eyerci N, Kizilgul M, Hepsen S, Alhan A, Kan S, Caliskan M, Bozkurt E, Cakal E. HNF1A gene p.I27L is associated with co-existing preeclampsia in gestational diabetes mellitus. Gynecol Endocrinol 2020; 36:530-534. [PMID: 31825269 DOI: 10.1080/09513590.2019.1698023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Abstract
The association of the FTO gene and HNF1α gene on gestational diabetes mellitus (GDM) and preeclampsia remains unclear. This is the first study to examine whether HNF1α gene and FTO gene were associated with having GDM and preeclampsia in Turkish women. Healthy pregnant women (n = 101) and women with GDM (n = 169) were included. GDM was divided into two groups as GDM-only (n = 90) and GDM-preeclampsia (n = 79). Genotyping of HNF1α gene p.I27L, p.A98V, and p.S487N, and FTO gene rs9939609 SNPs were performed using RT-PCR. The frequency of p.S487N, p.A98V, and FTO genotype were similar between the groups (p > .05). p.I27L GG-wild, GT, and TT genotype were 56.5%, 36.6%, and 6.9% in controls; 40.0%, 51.1%, and 8.9% in GDM-only; and 26.6%, 51.9%, and 21.5% in GDM-preeclampsia (p = .034). TT and GT genotype was more frequent in GDM-preeclampsia than in controls (p < .05). GT genotype was increased in GDM-only compared with controls (p < .05). TT genotype was more frequent in GDM-preeclampsia than in GDM-only (p < .05). p.I27L TT genotype was independently associated with increased blood pressure (BP) and urinary protein. p.I27L TT genotype was associated with increased preeclampsia risk in patients with GDM by increasing BP and urinary protein.
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Affiliation(s)
- Selvihan Beysel
- Department of Endocrinology and Metabolism, Ankara Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
- Department of Medical Biology, Baskent University, Ankara, Turkey
| | - Ferda Alparslan Pinarli
- Department of Genetic Research, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Nilnur Eyerci
- Department of Genetic Research, Ankara Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Muhammed Kizilgul
- Department of Endocrinology and Metabolism, Ankara Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Sema Hepsen
- Department of Endocrinology and Metabolism, Ankara Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Ali Alhan
- Department of Obstetrics and Gynecology, Eskisehir State Hospital, Eskisehir, Turkey
| | - Seyfullah Kan
- Department of Endocrinology and Metabolism, Ankara Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Mustafa Caliskan
- Department of Endocrinology and Metabolism, Ankara Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Erhan Bozkurt
- Department of İnternal Medicine, Afyonkarahisar Saglik Bilimleri University, Afyon, Turkey
| | - Erman Cakal
- Department of Endocrinology and Metabolism, Ankara Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
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Grupe K, Asuaje Pfeifer M, Dannehl F, Liebmann M, Rustenbeck I, Schürmann A, Scherneck S. Metabolic changes during pregnancy in glucose-intolerant NZO mice: A polygenic model with prediabetic metabolism. Physiol Rep 2020; 8:e14417. [PMID: 32374082 PMCID: PMC7201426 DOI: 10.14814/phy2.14417] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 03/18/2020] [Accepted: 03/18/2020] [Indexed: 12/25/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is a complex metabolic disease involving genetic and environmental factors. Recent studies have underlined its heterogeneity, so it is reasonable to divide patients into subpopulations depending on whether an insulin secretion or sensitivity defect is predominant. Since testing for GDM is usually performed in the second trimester, misinterpretation of prediabetes as gestational diabetes may occur. As with type 2 diabetes (T2DM), rodent models are needed for both GDM and prediabetes, but few do exist. Here, we compared the metabolic changes in pregnant normal NMRI mice with those in New Zealand obese (NZO) mice. Male animals of this strain are an established model of T2DM, whereas female mice of this strain are protected from hyperglycemia and β-cell death. We demonstrate that female NZO mice exhibited impaired glucose tolerance, preconceptional hyperinsulinemia, and hyperglucagonemia without any signs of manifest diabetes. The NZO model showed, compared with the NMRI control strain, a reduced proliferative response of the Langerhans islets during pregnancy (3.7 ± 0.4 vs. 7.2 ± 0.8% Ki-67-positive nuclei, p = .004). However, oral glucose tolerance tests revealed improved stimulation of insulin secretion in both strains. But this adaption was not sufficient to prevent impaired glucose tolerance in NZO mice compared with the NMRI control (p = .0002). Interestingly, glucose-stimulated insulin secretion was blunted in isolated primary NZO islets in perifusion experiments. In summary, the NZO mouse reflects important characteristics of human GDM and prediabetes in pregnancy and serves as a model for subpopulations with early alterations in glucose metabolism and primary insulin secretion defect.
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Affiliation(s)
- Katharina Grupe
- Institute of Pharmacology, Toxicology and Clinical PharmacyTechnische Universität BraunschweigBraunschweigGermany
| | - Melissa Asuaje Pfeifer
- Institute of Pharmacology, Toxicology and Clinical PharmacyTechnische Universität BraunschweigBraunschweigGermany
| | - Franziska Dannehl
- Institute of Pharmacology, Toxicology and Clinical PharmacyTechnische Universität BraunschweigBraunschweigGermany
| | - Moritz Liebmann
- Institute of Pharmacology, Toxicology and Clinical PharmacyTechnische Universität BraunschweigBraunschweigGermany
| | - Ingo Rustenbeck
- Institute of Pharmacology, Toxicology and Clinical PharmacyTechnische Universität BraunschweigBraunschweigGermany
| | - Annette Schürmann
- Department of Experimental DiabetologyGerman Institute of Human Nutrition Potsdam‐RehbrückeNuthetalGermany
- German Institute for Diabetes Research (DZD)NeuherbergGermany
| | - Stephan Scherneck
- Institute of Pharmacology, Toxicology and Clinical PharmacyTechnische Universität BraunschweigBraunschweigGermany
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Common genetic variants in ADCY5 and gestational glycemic traits. PLoS One 2020; 15:e0230032. [PMID: 32163478 PMCID: PMC7067392 DOI: 10.1371/journal.pone.0230032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 02/19/2020] [Indexed: 01/04/2023] Open
Abstract
Two meta-analysis of genome wide association studies identified two variants at adenylate cyclase 5 (ADCY5) associated with type 2 diabetes mellitus, fasting and 2-hour glucose in non-pregnant individuals of European descent. The objective of our study was to explore the role of common variants in ADCY5 on gestational glycemic traits, including plasma glucose, insulin values, β cell function and insulin resistance in the fasted state as well as plasma glucose 1 hour after a 50-gram glucose challenge test among Chinese Han women. Homoeostasis model assessment (HOMA) was used to quantify β cell function (HOMA1-β and HOMA2-β) and insulin resistance (HOMA1-IR and HOMA2-IR). Thirty-five single nucleotide polymorphisms (SNPs) in ADCY5 were genotyped in 929 unrelated Chinese Han women with singleton pregnancies. Three SNPs (rs6797915, rs9856662 and rs9875803) displayed evidence for association with plasma glucose 1 hour after a 50-gram glucose challenge test (P = 0.042, 0.018 and 0.018, respectively), one (rs6777397) displayed evidence for association with HOMA1-β (P = 0.014), and one (rs6762009) displayed evidence for association with HOMA1-IR (P = 0.033). These results provide additional insight into the effects of genetic variation within ADCY5 in glucose metabolism, especially during pregnancy and in non-European descent populations.
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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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Xie K, Zhang Y, Wen J, Chen T, Kong J, Zhang J, Wu X, Hu C, Xu B, Ji C, Guo X, Wu J. Genetic predisposition to gestational glucose metabolism and gestational diabetes mellitus risk in a Chinese population. J Diabetes 2019; 11:869-877. [PMID: 30912250 DOI: 10.1111/1753-0407.12923] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 02/16/2019] [Accepted: 03/22/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified several genetic variants affecting gestational glucose metabolism. However, information regarding their known associations with gestational diabetes mellitus (GDM) risk remains scarce. METHODS This study examined the associations of 12 gestational glucose metabolism-related variants with GDM risk in a Chinese population (964 GDM cases, 1021 controls). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression analysis. RESULTS Rs10830963 in melatonin receptor 1B (MTNR1B) was found to be associated with an increased risk of GDM, after adjusting for age, prepregnancy body mass index, parity, abnormal pregnancy history, and family history of diabetes (OR 1.20; 95% CI 1.05-1.36; P = 0.007). Compared with women with a family history of diabetes, there was a significant association of rs7936247 with GDM risk among pregnant women without a family history of diabetes (OR 1.20; 95% CI 1.04-1.38; P = 0.014; Pheterogeneity = 0.035). Further functional annotations showed that rs10830963 and rs7936247 fell in the functional elements of human pancreatic islets. Genotype-phenotype associations indicated that the variants may contribute to GDM risk by affecting the expression of nearby or distant genes. CONCLUSIONS The findings of this study suggest that rs10830963 and rs7936247 may be markers for susceptibility to GDM in a Chinese population. Additional studies are warranted to validate our findings and clarify the underlying mechanism.
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Affiliation(s)
- Kaipeng Xie
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Yue Zhang
- School of Information Management, Nanjing University, Nanjing, China
| | - Juan Wen
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Ting Chen
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Jing Kong
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Jinyu Zhang
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Xiaoli Wu
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Chen Hu
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
| | - Chenbo Ji
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Xirong Guo
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Jiangping Wu
- Department of Women Health Care, Nanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
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Rahman ML, Shrestha D, Workalemahu T, Wu J, Zhu C, Zhang C, Tekola-Ayele F. Maternal and Offspring Genetic Risk of Type 2 Diabetes and Offspring Birthweight Among African Ancestry Populations. J Clin Endocrinol Metab 2019; 104:5032-5042. [PMID: 31120516 PMCID: PMC6753636 DOI: 10.1210/jc.2018-02756] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 05/17/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Maternal genetic risk of type 2 diabetes (T2D) can influence offspring birthweight through shared offspring genetic risk and by altering intrauterine glycemic status. The aim of this study was to estimate the independent effects of maternal and offspring genetic risk scores (GRSs) of T2D on offspring birthweight and the extent to which intrauterine glycemic traits mediate the effect of maternal GRSs on offspring birthweight. DESIGN The study involved 949 mother-offspring pairs of African ancestry from the Hyperglycemia Adverse Pregnancy Outcome study. GRSs of T2D were calculated separately for mothers and offspring as the weighted sum of 91 T2D risk alleles identified in a genome-wide association study meta-analysis in African Americans. Linear regression models were fit to estimate changes in birthweight by quartiles of GRSs. Mediation analysis was implemented to estimate the direct and indirect effects of maternal GRS on offspring birthweight through cord blood C-peptide and maternal fasting and postchallenge glucose levels. RESULTS Maternal and offspring GRSs were independently and differentially associated with offspring birthweight. Changes (95% CI) in birthweight across increasing quartiles of maternal GRSs were 0 g (reference), 83.1 g (6.5, 159.6), 103.1 g (26.0, 180.2), and 92.7 g (12.6, 172.8) (P trend = 0.041) and those of offspring GRSs were 0 (reference), -92.0 g (-169.2, -14.9), -64.9 g (-142.4, 12.6), and 2.0 g (-77.8, 81.7) (P trend = 0.032). Cord blood C-peptide mediated the effect of maternal GRS on offspring birthweight, whereas maternal postchallenge glucose levels showed additive effects with maternal GRS on birthweight. CONCLUSIONS Maternal and offspring GRSs of T2D were independently and differentially associated with offspring birthweight.
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Affiliation(s)
- Mohammad L Rahman
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
- Current Affiliation: M.L.R.’s current affiliation is Harvard Medical School Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts 02215
| | - Deepika Shrestha
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Tsegaselassie Workalemahu
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Jing Wu
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Chunming Zhu
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Fasil Tekola-Ayele
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
- Correspondence and Reprint Requests: Fasil Tekola-Ayele, PhD, Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6710B Rockledge Drive, 6710B-3204, Bethesda, Maryland 20892. E-mail:
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Rosik J, Szostak B, Machaj F, Pawlik A. The role of genetics and epigenetics in the pathogenesis of gestational diabetes mellitus. Ann Hum Genet 2019; 84:114-124. [DOI: 10.1111/ahg.12356] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Revised: 09/07/2019] [Accepted: 09/09/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Jakub Rosik
- Department of Physiology Pomeranian Medical University Szczecin Poland
| | - Bartosz Szostak
- Department of Physiology Pomeranian Medical University Szczecin Poland
| | - Filip Machaj
- Department of Physiology Pomeranian Medical University Szczecin Poland
| | - Andrzej Pawlik
- Department of Physiology Pomeranian Medical University Szczecin Poland
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Gouda W, Mageed L, Azmy O, Okasha A, Shaker Y, Ashour E. Association of genetic variants in IGF-1 gene with susceptibility to gestational and type 2 diabetes mellitus. Meta Gene 2019. [DOI: 10.1016/j.mgene.2019.100588] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
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Arora GP, Åkerlund M, Brøns C, Moen GH, Wasenius NS, Sommer C, Jenum AK, Almgren P, Thaman RG, Orho-Melander M, Eriksson J, Qvigstad E, Birkeland K, Berntorp K, Vaag AA, Groop L, Prasad RB. Phenotypic and genotypic differences between Indian and Scandinavian women with gestational diabetes mellitus. J Intern Med 2019; 286:192-206. [PMID: 30919529 DOI: 10.1111/joim.12903] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is a transient form of diabetes characterized by impaired insulin secretion and action during pregnancy. Population-based differences in prevalence exist which could be explained by phenotypic and genetic differences. The aim of this study was to examine these differences in pregnant women from Punjab, India and Scandinavia. METHODS Eighty-five GDM/T2D loci in European and/or Indian populations from previous studies were assessed for association with GDM based on Swedish GDM criteria in 4018 Punjabi Indian and 507 Swedish pregnant women. Selected loci were replicated in Scandinavian cohorts, Radiel (N = 398, Finnish) and STORK/STORK-G (N = 780, Norwegian). RESULTS Punjabi Indian women had higher GDM prevalence, lower insulin secretion and better insulin sensitivity than Swedish women. There were significant frequency differences of GDM/T2D risk alleles between both populations. rs7178572 at HMG20A, previously associated with GDM in South Indian and European women, was replicated in North Indian women. The T2D risk SNP rs11605924 in the CRY2 gene was associated with increased GDM risk in Scandinavian but decreased GDM risk in Punjabi Indian women. No other overlap was seen between GDM loci in both populations. CONCLUSIONS Gestational diabetes mellitus is more common in Indian than Swedish women, which partially can be attributed to differences in insulin secretion and action. There was marked heterogeneity in the GDM phenotypes between the populations which could only partially be explained by genetic differences.
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Affiliation(s)
- G P Arora
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Deep Hospital, Ludhiana, Punjab, India
| | - M Åkerlund
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - C Brøns
- Department of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark
| | - G-H Moen
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - N S Wasenius
- Folkhälsan Research Center, Biomedicum Helsinki, Helsinki, Finland.,Department of General Practice and Primary Health Care, Diabetes and Obesity Research Program Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - C Sommer
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - A K Jenum
- Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - P Almgren
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | | | - M Orho-Melander
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - J Eriksson
- Department of General Practice and Primary Health Care, Diabetes and Obesity Research Program Research Programs Unit, University of Helsinki, Helsinki, Finland
| | - E Qvigstad
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Oslo, Norway
| | - K Birkeland
- Department of Endocrinology Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - K Berntorp
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
| | - A A Vaag
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Department of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark.,Cardiovascular, Renal and Metabolism (CVRM) Translational Medicine Unit, Early Clinical development, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - L Groop
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
| | - R B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
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Mărginean C, Mărginean CO, Bănescu C, Meliţ LE, Tripon F, Iancu M. The relationship among GNB3 rs5443, PNPLA3 rs738409, GCKR rs780094 gene polymorphisms, type of maternal gestational weight gain and neonatal outcomes (STROBE-compliant article). Medicine (Baltimore) 2019; 98:e16414. [PMID: 31305457 PMCID: PMC6641780 DOI: 10.1097/md.0000000000016414] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
The gestational weight gain is determined by food habits, environmental and genetic factors.The aims of this paper were to establish relationships between maternal gene polymorphisms (patatin-like phospholipase domain-containing protein 3 rs738409 [PNPLA3 rs738409], glucokinase regulatory protein rs780094 [GCKR rs780094], and guanine nucleotide-binding protein rs5443 [GNB3 rs5443]) and mothers' gestational weight gain, but also neonatal outcomes (birth weight, length, and ponderal index [PI]).We performed a cross-sectional study in a sample of 158 mothers and their product of conception' in an Obstetrics-Gynecology Clinic from Romania. We divided the pregnant women according to the Institute of Medicine recommendations into 3 subgroups: (1) insufficient gestational weight gain; (2) normal gestational weight gain; and (3) excessive gestational weight gain.The gestational weight gain among pregnant women included in this study was classified as insufficient (10.1%), normal (31%), and excessive (58.9%). We found a tendency towards statistical significance for mothers that were overweight or obese before pregnancy to present an excessive gestational weight gain as compared to the normal weight ones. Similarly, we identified a tendency for statistical significance regarding the association between the variant genotype of GNB3 rs5443 and excessive gestational weight gain. We noticed differences that tended to be statistical significant concerning aspartate aminotransferase values between the 3 subgroups, mothers with excessive gestational weight gain having higher values than mothers with normal gestational weight gain (median, IQR: 22.89[17.53; 31.59] for mothers with excessive gestational weight gain versus 22.71[18.58; 27.37] for mothers with normal gestational weight gain). In mothers with excessive gestational weight gain, we found a significant association between the variant genotype of PNPLA3 rs738409 polymorphism and neonatal PI noticing a decrease of this index in case of newborns from mothers carrying the variant genotype.Excessive gestational weight gain was noticed in pregnant women that were obese and overweight before pregnancy. We found a positive association between the variant genotype of GNB3 rs5443 polymorphism and excessive gestational weight gain. Similarly, the presence of variant genotype of PNPLA3 rs738409 in mothers was associated with a lower PI in their newborns. Our study pointed out the most important factors that influence gestational weight gain and related birth outcomes.
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Affiliation(s)
| | - Cristina Oana Mărginean
- Department of Pediatrics, University of Medicine, Pharmacy, Sciences and Technology Târgu Mureş
| | - Claudia Bănescu
- Genetics Laboratory, Center for Advanced Medical and Pharmaceutical Research, University of Medicine, Pharmacy, Sciences and Technology Târgu Mureş
| | - Lorena Elena Meliţ
- Department of Pediatrics, University of Medicine, Pharmacy, Sciences and Technology Târgu Mureş
| | - Florin Tripon
- Genetics Laboratory, Center for Advanced Medical and Pharmaceutical Research, University of Medicine, Pharmacy, Sciences and Technology Târgu Mureş
| | - Mihaela Iancu
- Department of Medical Informatics and Biostatistics, Iuliu Haţieganu University of Medicine and Pharmacy Cluj Napoca, Romania
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Apaydın M, Beysel S, Eyerci N, Pinarli FA, Ulubay M, Kizilgul M, Ozdemir O, Caliskan M, Cakal E. The VDR gene FokI polymorphism is associated with gestational diabetes mellitus in Turkish women. BMC MEDICAL GENETICS 2019; 20:82. [PMID: 31096931 PMCID: PMC6524275 DOI: 10.1186/s12881-019-0820-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 05/07/2019] [Indexed: 01/04/2023]
Abstract
Background The association between the vitamin D receptor (VDR) gene and gestational diabetes mellitus (GDM) has not been investigated in Turkish pregnant women. We aimed to investigate associations between VDR gene BsmI (rs15444410), ApaI (rs7975232), FokI (rs19735810), and TaqI (rs731236) single nucleotide polymorphisms (SNPs) and GDM. Material-methods This case-control study comprised 100 women with GDM and 135 pregnant women without GDM. The VDR polymorphism was evaluated using Sanger-based DNA sequencing. Result VDR gene ApaI, BsmI, and TaqI SNPs did not differ between women with and without GDM (each, p > 0.05). ApaI, BsmI, and TaqI were not associated with GDM risk. The VDR gene FokI CT/TT genotype was associated with an increased GDM risk (CT vs. CC, OR = 1.84, 95% CI: [1.05–3.23], p = 0.031; TT vs. CC, OR = 3.95, 95% CI: [1.56–9.96], p = 0.002; CT/TT vs. CC, OR = 2.29, 95% CI: [1.35–3.89], p = 0.002; and CT/CC vs. TT, OR = 3.02, 95% CI: [1.23–7.38], p = 0.012). The FokI-TT genotype was more associated with younger age and higher glucose, HbA1c, and HOMA-IR than the CC and CT genotype. FokI-T was positively correlated with log-HOMA-IR (r = 0.326, p = 0.004). FokI SNPs were independently associated with GDM after adjusting for BMI and age (β = 1.63, 95% CI: [1. 2-4.2], p = 0.012). There were no associations between the FokI, ApaI, BsmI and TaqI haplotypes and GDM. Conclusion VDR gene FokI SNPs were independently associated with having GDM in Turkish women. VDR gene FokI SNPs might contribute to insulin resistance of developing GDM.
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Affiliation(s)
- Mahmut Apaydın
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Selvihan Beysel
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey. .,Department of Medical Biology, Baskent University, Ankara, Turkey.
| | - Nilnur Eyerci
- Department of Genetic Research, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Ferda Alparslan Pinarli
- Department of Genetic Research, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Mustafa Ulubay
- Department of Obstetrics and Gynecology, Gulhane School of Medicine, Ankara, Turkey
| | - Muhammed Kizilgul
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Ozhan Ozdemir
- Department of Obstetrics and Gynecology, Ankara Numune Teaching and Research Hospital, Ankara, Turkey
| | - Mustafa Caliskan
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Erman Cakal
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
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Liu S, Liu Y, Liao S. Heterogeneous impact of type 2 diabetes mellitus-related genetic variants on gestational glycemic traits: review and future research needs. Mol Genet Genomics 2019; 294:811-847. [PMID: 30945019 DOI: 10.1007/s00438-019-01552-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 03/25/2019] [Indexed: 02/07/2023]
Abstract
Gestational glucose homeostasis influences mother's metabolic health, pregnancy outcomes, fetal development and offspring growth. To understand the genetic roles in pregnant glucose metabolism and genetic predisposition for gestational diabetes (GDM), we reviewed the recent literature up to Jan, 2018 and evaluated the influence of T2DM-related genetic variants on gestational glycemic traits and glucose tolerance. A total of 140 variants of 89 genes were integrated. Their associations with glycemic traits in and outside pregnancy were compared. The genetic circumstances underlying glucose metabolism exhibit a similarity between pregnant and non-pregnant populations. While, not all of the T2DM-associated genetic variants are related to pregnant glucose tolerance, such as genes involved in fasting insulin/C-peptide regulation. Some genetic variants may have distinct effects on gestational glucose homeostasis. And certain genes may be particularly involved in this process via specific mechanisms, such as HKDC1, MTNR1B, BACE2, genes encoding cell cycle regulators, adipocyte regulators, inflammatory factors and hepatic factors related to gestational glucose sensing and insulin signaling. However, it is currently difficult to evaluate these associations with quantitative synthesis due to inadequate data, different analytical methods, varied measurements for glycemic traits, controversies in diagnosis of GDM, and unknown ethnicity- and/or sex-related influences on pregnant maternal metabolism. In conclusion, different genetic associations with glycemic traits may exist between pregnant and non-pregnant conditions. Comprehensive research on specific genetic regulation in gestation is necessary.
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Affiliation(s)
- Shasha Liu
- Diabetes Center and Transplantation Translational Medicine, Key Laboratory of Sichuan Province, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Yihuanlu Xierduan 32#, Chengdu, 610072, China
| | - Yunqiang Liu
- Department of Medical Genetics and Division of Morbid Genomics, State Key Laboratory of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu, 610041, China
| | - Shunyao Liao
- Diabetes Center and Transplantation Translational Medicine, Key Laboratory of Sichuan Province, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Yihuanlu Xierduan 32#, Chengdu, 610072, China.
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Abstract
Despite considerable advances in the past few years, obesity and type 2 diabetes mellitus (T2DM) remain two major challenges for public health systems globally. In the past 9 years, genome-wide association studies (GWAS) have established a major role for genetic variation within the MTNR1B locus in regulating fasting plasma levels of glucose and in affecting the risk of T2DM. This discovery generated a major interest in the melatonergic system, in particular the melatonin MT2 receptor (which is encoded by MTNR1B). In this Review, we discuss the effect of melatonin and its receptors on glucose homeostasis, obesity and T2DM. Preclinical and clinical post-GWAS evidence of frequent and rare variants of the MTNR1B locus confirmed its importance in regulating glucose homeostasis and T2DM risk with minor effects on obesity. However, these studies did not solve the question of whether melatonin is beneficial or detrimental, an issue that will be discussed in the context of the peculiarities of the melatonergic system. Melatonin receptors might have therapeutic potential as they belong to the highly druggable G protein-coupled receptor superfamily. Clarifying the precise role of melatonin and its receptors on glucose homeostasis is urgent, as melatonin is widely used for other indications, either as a prescribed medication or as a supplement without medical prescription, in many countries in Europe and in the USA.
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Affiliation(s)
- Angeliki Karamitri
- Inserm, U1016, Institut Cochin, Paris, France
- CNRS UMR 8104, Paris, France
- Université Paris Descartes, Université Sorbonne Paris Cité, Paris, France
| | - Ralf Jockers
- Inserm, U1016, Institut Cochin, Paris, France.
- CNRS UMR 8104, Paris, France.
- Université Paris Descartes, Université Sorbonne Paris Cité, Paris, France.
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Tan YX, Hu SM, You YP, Yang GL, Wang W. Replication of previous genome-wide association studies of HKDC1, BACE2, SLC16A11 and TMEM163 SNPs in a gestational diabetes mellitus case-control sample from Han Chinese population. Diabetes Metab Syndr Obes 2019; 12:983-989. [PMID: 31417298 PMCID: PMC6602052 DOI: 10.2147/dmso.s207019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 05/13/2019] [Indexed: 01/12/2023] Open
Abstract
Background: Four novel glucose metabolism risk loci (HKDC1 rs4746822, BACE2 rs6517656, SLC16A11 rs13342232 and TMEM163 rs998451) were identified in recent genome-wide association studies (GWAS) of Afro-Caribbean, European, Hispanic, Thai, Mexican, Latin American and Indian populations. None of the abovementioned SNPs has been reported in a Han Chinese population. Aim: To replicate the relationships between HKDC1 rs4746822, BACE2 rs6517656, SLC16A11 rs13342232 and TMEM163 rs998451 with gestational diabetes mellitus (GDM) in a Han Chinese population. Methods: This was a case-control study which enrolled 334 pregnant women with GDM and 367 pregnant women with normal glucose tolerance. The linear regression and logistic regression were used to estimate the association between SNPs with the risk of GDM, HOMA-IR and fasting insulin levels. The fasting insulin concentration and HOMA-IR were log10 transformed before analysis. Results: No significant differences in the alleles and genotypes of SLC16A11 rs13342232, HKDC1 rs4746822 and BACE2 rs6517656 were observed between cases and controls. After adjusting the weekly BMI growth, pre-pregnancy BMI and maternal age, under the additive model, SLC16A11 rs13342232 was associated with log10fasting serum insulin (Beta=0.046, p=0.016), log10HOMA-IR level (Beta=0.061, p=0.003) and fasting plasma glucose level (Beta=0.164, p=0.011); HKDC1 rs4746822 was associated with OGTT 2-hr plasma glucose level (Beta=0.239, p=0.016); and BACE2 rs6517656 was associated with log10fasting serum insulin (Beta=-0.053, p=0.044) and log10HOMA-IR level (Beta=-0.060, p=0.048). After correction for multiple testing, the associations of SLC16A11 and HKDC1 with glucose metabolism remained statistically significant. The A allele of TMEM163 rs998451 was not detected in this population. Conclusion: HKDC1 rs4746822, BACE2 rs6517656 and SLC16A11 rs13342232 are associated with glucose metabolism in pregnant women of Han Chinese.
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Affiliation(s)
- Yi-Xiong Tan
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan410013, People’s Republic of China
| | - Shi-Min Hu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan410078, People’s Republic of China
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing100053, People’s Republic of China
- Beijing Key Laboratory of Neuromodulation
, Beijing100053, People’s Republic of China
- Correspondence: Shi-Min HuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 90 Xiangya Road, Changsha, Hunan410078, People’s Republic of ChinaTel +867 318 885 8435Fax +867 318 480 5454Email
| | - Yi-Ping You
- Department of Obstetrics and Gynecology, Hunan Provincial Hospital of Maternal and Child Health, Changsha, Hunan410008, People’s Republic of China
| | - Gui-Lian Yang
- Nutrition Department, Hunan Provincial Hospital of Maternal and Child Health, Changsha, Hunan410008, People’s Republic of China
| | - Wei Wang
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan410013, People’s Republic of China
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Abstract
The Precision Medicine Initiative defines precision medicine as 'an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment and lifestyle for each person'. This approach will facilitate more accurate treatment and prevention strategies in contrast to a one-size-fits-all approach, in which disease treatment and prevention strategies are developed for generalized usage. Diabetes is clearly more heterogeneous than the conventional subclassification into type 1 and type 2 diabetes. Monogenic forms of diabetes like MODY and neonatal diabetes have paved the way for precision medicine in diabetes, as carriers of unique mutations require unique treatment. Diagnosis of diabetes in the past has been dependent upon measuring one metabolite, glucose. By instead including six variables in a clustering analysis, we could break down diabetes into five distinct subgroups, with better prediction of disease progression and outcome. The severe insulin-resistant diabetes (SIRD) cluster showed the highest risk of kidney disease and highest prevalence of nonalcoholic fatty liver disease, whereas patients in the insulin-deficient cluster 2 (SIDD) had the highest risk of retinopathy. In the future, this will certainly be improved and expanded by including genetic, epigenetic and other biomarker to allow better prediction of outcome and choice of more precise treatment.
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Affiliation(s)
- R B Prasad
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - L Groop
- Genomics, Diabetes and Endocrinology, Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
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