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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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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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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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Wei W, He Y, Wang X, Tan G, Zhou F, Zheng G, Tian D, Ma X, Yu H. Gestational Diabetes Mellitus: The Genetic Susceptibility Behind the Disease. Horm Metab Res 2021; 53:489-498. [PMID: 34384105 DOI: 10.1055/a-1546-1652] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Gestational diabetes mellitus (GDM), a type of pregnancy-specific glucose intolerance or hyperglycemia, is one of the most common metabolic disorders in pregnant women with 16.9% of the global prevalence of gestational hyperglycemia. Not only are women with GDM likely to develop T2DM, but their children are also at risk for birth complications or metabolic disease in adulthood. Therefore, identifying the potential risk factors for GDM is very important in the prevention and treatment of GDM. Previous studies have shown that genetic predisposition is an essential component in the occurrence of GDM. In this narrative review, we describe the role of polymorphisms in different functional genes associated with increased risk for GDM, and available evidence on genetic factors in the risk of GDM is summarized and discussed.
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Affiliation(s)
- Wenwen Wei
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Yuejuan He
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Xin Wang
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Guiqin Tan
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Fangyu Zhou
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Guangbing Zheng
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Dan Tian
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Xiaomin Ma
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
| | - Hongsong Yu
- School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, Zunyi, China
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Kunasegaran T, Balasubramaniam VRMT, Arasoo VJT, Palanisamy UD, Ramadas A. Gestational Diabetes Mellitus in Southeast Asia: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031272. [PMID: 33572656 PMCID: PMC7908368 DOI: 10.3390/ijerph18031272] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/25/2021] [Accepted: 01/27/2021] [Indexed: 11/26/2022]
Abstract
A rapid increase in the prevalence of gestational diabetes mellitus (GDM) has been associated with various factors such as urbanization, lifestyle changes, adverse hyperglycemic intrauterine environment, and the resulting epigenetic changes. Despite this, the burden of GDM has not been well-assessed in Southeast Asia. We comprehensively reviewed published Southeast Asian studies to identify the current research trend in GDM in this region. Joanna Briggs Institute’s methodology was used to guide the scoping review. The synthesis of literature findings demonstrates almost comparable clinical evidence in terms of risk factors and complications, challenges presented in diagnosing GDM, and its disease management, given the similarities of the underlying population characteristics in Southeast Asia. Evidence suggests that a large proportion of GDM risk in women may be preventable by lifestyle modifications. However, the GDM burden across countries is expected to rise, given the heterogeneity in screening approaches and diagnostic criteria, mainly influenced by economic status. There is an urgent need for concerted efforts by government and nongovernmental sectors to implement national programs to prevent, manage, and monitor the disease.
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Li C, Yang Y, Liu X, Li Z, Liu H, Tan Q. Glucose metabolism-related gene polymorphisms as the risk predictors of type 2 diabetes. Diabetol Metab Syndr 2020; 12:97. [PMID: 33292424 PMCID: PMC7643457 DOI: 10.1186/s13098-020-00604-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/22/2020] [Accepted: 10/26/2020] [Indexed: 02/07/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a complex polygenic metabolic disease characterized by elevated blood glucose. Multiple environmental and genetic factors can increase the risk of T2DM and its complications, and genetic polymorphisms are no exception. This review is mainly focused on the related genes involved in glucose metabolic, including G6PC2, GCK, GCKR and OCT3. In this review, we have summarized the results reported globally and found that the genetic variants of GCK and OCT3 genes is a risk factor for T2DM while G6PC2 and GCKR genes are controversial in different ethnic groups. Hopefully, this summary could possibly help researchers and physicians understand the mechanism of T2DM so as to diagnose and even prevent T2DM at early time.
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Affiliation(s)
- Cuilin Li
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China.
| | - Yuping Yang
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
| | - Xin Liu
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
| | - Zhongyu Li
- Laboratory Medical Center, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, China
| | - Hong Liu
- Department of Metabolism and Endocrinology, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, China
| | - Qiuhong Tan
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
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Sanchez-Roige S, Palmer AA, Clarke TK. Recent Efforts to Dissect the Genetic Basis of Alcohol Use and Abuse. Biol Psychiatry 2020; 87:609-618. [PMID: 31733789 PMCID: PMC7071963 DOI: 10.1016/j.biopsych.2019.09.011] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 08/14/2019] [Accepted: 09/13/2019] [Indexed: 01/29/2023]
Abstract
Alcohol use disorder (AUD) is defined by several symptom criteria, which can be dissected further at the genetic level. Over the past several years, our understanding of the genetic factors influencing alcohol use and abuse has progressed tremendously; numerous loci have been implicated in different aspects of alcohol use. Previously known associations with alcohol-metabolizing enzymes (ADH1B, ALDH2) have been replicated definitively. In addition, novel associations with loci containing the genes KLB, GCKR, CRHR1, and CADM2 have been reported. Downstream analyses have leveraged these genetic findings to reveal important relationships between alcohol use behaviors and both physical and mental health. AUD and aspects of alcohol misuse have been shown to overlap strongly with psychiatric disorders, whereas aspects of alcohol consumption have shown stronger links to metabolism. These results demonstrate that the genetic architecture of alcohol consumption only partially overlaps with the genetics of clinically defined AUD. We discuss the limitations of using quantitative measures of alcohol use as proxy measures for AUD, and we outline how future studies will require careful phenotype harmonization to properly capture the genetic liability to AUD.
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Affiliation(s)
- Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, California.
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, La Jolla, California; Institute for Genomic Medicine, University of California San Diego, La Jolla, California
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
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Yahaya TO, Salisu T, Abdulrahman YB, Umar AK. Update on the genetic and epigenetic etiology of gestational diabetes mellitus: a review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2020. [DOI: 10.1186/s43042-020-00054-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Abstract
Background
Many studies have been conducted on the genetic and epigenetic etiology of gestational diabetes mellitus (GDM) in the last two decades because of the disease’s increasing prevalence and role in global diabetes mellitus (DM) explosion. An update on the genetic and epigenetic etiology of GDM then becomes imperative to better understand and stem the rising incidence of the disease. This review, therefore, articulated GDM candidate genes and their pathophysiology for the awareness of stakeholders.
Main body (genetic and epigenetic etiology, GDM)
The search discovered 83 GDM candidate genes, of which TCF7L2, MTNR1B, CDKAL1, IRS1, and KCNQ1 are the most prevalent. Certain polymorphisms of these genes can modulate beta-cell dysfunction, adiposity, obesity, and insulin resistance through several mechanisms. Environmental triggers such as diets, pollutants, and microbes may also cause epigenetic changes in these genes, resulting in a loss of insulin-boosting and glucose metabolism functions. Early detection and adequate management may resolve the condition after delivery; otherwise, it will progress to maternal type 2 diabetes mellitus (T2DM) and fetal configuration to future obesity and DM. This shows that GDM is a strong risk factor for T2DM and, in rare cases, type 1 diabetes mellitus (T1DM) and maturity-onset diabetes of the young (MODY). This further shows that GDM significantly contributes to the rising incidence and burden of DM worldwide and its prevention may reverse the trend.
Conclusion
Mutations and epigenetic changes in certain genes are strong risk factors for GDM. For affected individuals with such etiologies, medical practitioners should formulate drugs and treatment procedures that target these genes and their pathophysiology.
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Bai Y, Tang L, Li L, Li L. The roles of ADIPOQ rs266729 and MTNR1B rs10830963 polymorphisms in patients with gestational diabetes mellitus: A meta-analysis. Gene 2020; 730:144302. [DOI: 10.1016/j.gene.2019.144302] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 12/18/2019] [Accepted: 12/18/2019] [Indexed: 12/27/2022]
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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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Lin Z, Wang Y, Zhang B, Jin Z. Association of type 2 diabetes susceptible genes GCKR, SLC30A8, and FTO polymorphisms with gestational diabetes mellitus risk: a meta-analysis. Endocrine 2018; 62:34-45. [PMID: 30091126 DOI: 10.1007/s12020-018-1651-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 06/08/2018] [Indexed: 12/23/2022]
Abstract
PURPOSE Current studies have detected the correlation of polymorphisms in type 2 diabetes susceptible genes GCKR, SLC30A8 and FTO with gestational diabetes mellitus (GDM) risk. However, findings of these studies were incongruous. Hence, we performed an integrated review and meta-analysis for the researches regarding the association of single nucleotide polymorphisms (SNPs) in GCKR, SLC30A8 and FTO genes and GDM risk. METHODS Eligible publications were selected on the basis of several inclusion and exclusion criteria. Correlation between each SNP and GDM risk was estimated by computing odds ratios (ORs) with 95% confidence intervals (95%CIs). RESULTS Consequently, 19 case-control studies (from 16 citations) including 3636 GDM cases and 7229 GDM-free controls were participated in a meta-analysis of seven prevalent SNPs (GCKR rs1260326 and rs780094; SLC30A8 rs13266634 and rs11558471; FTO rs8050136, rs1421085 and rs9939609). Our results demonstrated that the rs780094, rs13266634 and rs9939609 SNPs were significantly associated with GDM risk. In stratified analysis, correlations of rs780094 and rs13266634 SNPs could be observed in Asian and Caucasian subgroups. Moreover, association between rs9939609 SNP and GDM risk was detected in Caucasian subgroup. CONCLUSIONS The GCKR rs780094, SLC30A8 rs13266634 and FTO rs9939609 SNPs were demonstrated to be the potential biomarkers for GDM risk prediction.
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Affiliation(s)
- Ziqi Lin
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning, China
| | - Yue Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning, China
| | - Bao Zhang
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning, China
| | - Zhen Jin
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning, China.
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Molecular Biomarkers for Gestational Diabetes Mellitus. Int J Mol Sci 2018; 19:ijms19102926. [PMID: 30261627 PMCID: PMC6213110 DOI: 10.3390/ijms19102926] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 09/21/2018] [Accepted: 09/22/2018] [Indexed: 12/20/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is a growing public health problem worldwide. The condition is associated with perinatal complications and an increased risk for future metabolic disease in both mothers and their offspring. In recent years, molecular biomarkers received considerable interest as screening tools for GDM. The purpose of this review is to provide an overview of the current status of single-nucleotide polymorphisms (SNPs), DNA methylation, and microRNAs as biomarkers for GDM. PubMed, Scopus, and Web of Science were searched for articles published between January 1990 and August 2018. The search terms included “gestational diabetes mellitus”, “blood”, “single-nucleotide polymorphism (SNP)”, “DNA methylation”, and “microRNAs”, including corresponding synonyms and associated terms for each word. This review updates current knowledge of the candidacy of these molecular biomarkers for GDM with recommendations for future research avenues.
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