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Vella M, Mohan S, Christie H, Bailey KR, Cobelli C, Dalla Man C, Matveyenko A, Egan AM, Vella A. Diabetes-associated Genetic Variation in MTNR1B and Its Effect on Islet Function. J Endocr Soc 2024; 8:bvae130. [PMID: 39011323 PMCID: PMC11249077 DOI: 10.1210/jendso/bvae130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Indexed: 07/17/2024] Open
Abstract
Context Multiple common genetic variants have been associated with type 2 diabetes, but the mechanism by which they predispose to diabetes is incompletely understood. One such example is variation in MTNR1B, which implicates melatonin and its receptor in the pathogenesis of type 2 diabetes. Objective To characterize the effect of diabetes-associated genetic variation at rs10830963 in the MTNR1B locus on islet function in people without type 2 diabetes. Design The association of genetic variation at rs10830963 with glucose, insulin, C-peptide, glucagon, and indices of insulin secretion and action were tested in a cohort of 294 individuals who had previously undergone an oral glucose tolerance test (OGTT). Insulin sensitivity, β-cell responsivity to glucose, and Disposition Indices were measured using the oral minimal model. Setting The Clinical Research and Translation Unit at Mayo Clinic, Rochester, MN. Participants Two cohorts were utilized for this analysis: 1 cohort was recruited on the basis of prior participation in a population-based study in Olmsted County. The other cohort was recruited on the basis of TCF7L2 genotype at rs7903146 from the Mayo Biobank. Intervention Two-hour, 7-sample OGTT. Main Outcome Measures Fasting, nadir, and integrated glucagon concentrations. Results One or 2 copies of the G-allele at rs10830963 were associated with increased postchallenge glucose and glucagon concentrations compared to subjects with the CC genotype. Conclusion The effects of rs10830963 on glucose homeostasis and predisposition to type 2 diabetes are likely to be partially mediated through changes in α-cell function.
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Affiliation(s)
- Max Vella
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
| | - Sneha Mohan
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
| | - Hannah Christie
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
| | - Kent R Bailey
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Claudio Cobelli
- Department of Women and Children's Health, University of Padova, 35128 Padova, Italy
| | - Chiara Dalla Man
- Department of Information Engineering, University of Padova, 35128 Padova, Italy
| | - Aleksey Matveyenko
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA
| | - Aoife M Egan
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
| | - Adrian Vella
- Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
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Lin L, Dong J, Wang Y, Song L, Ye X, Chen X, Miao C, Lin J. Digital therapeutics-based lifestyle intervention for gestational diabetes mellitus prevention of high-risk pregnant women: a study protocol for a non-randomised controlled trial. BMJ Open 2024; 14:e077336. [PMID: 38926141 PMCID: PMC11216049 DOI: 10.1136/bmjopen-2023-077336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
INTRODUCTION Digital therapeutics have been approved as a treatment aid for various medical conditions and are increasingly prevalent. Despite numerous studies on the potential of digital therapeutic interventions in preventing gestational diabetes mellitus (GDM), there is a critical need for more high-quality, large-scale studies to validate their effectiveness. This need arises from the inconsistencies in results and variations in the quality of previous research. METHODS AND ANALYSIS We propose a non-randomised controlled trial involving 800 high-risk pregnant women in 6 maternity and child health hospitals in Fujian, China. This study aims to investigate the role and effectiveness of digital therapeutics-based lifestyle intervention in managing the health of pregnant women at high risk for GDM. The study will compare the differences in GDM prevalence, pregnancy weight management and other pregnancy-related health outcomes between pregnant women who received digital therapeutics-based lifestyle intervention and those in the control group. The intervention includes dietary guidance, a personalised physical activity programme and lifestyle improvement strategies delivered through a smartphone app. Primary outcomes include the incidence of GDM at 24-28 weeks gestation and gestational weight gain (GWG). Secondary outcomes comprise improvements in individual lifestyle and risk factors, nutritional issues, implementation outcomes and other pregnancy-related outcomes. ETHICS AND DISSEMINATION SECTION The trial was approved by the Ethics Committee of Fujian Maternity and Child Health Hospital (approval number: 2023KY046), Jianyang Maternity and Child Health Hospital (approval number: A202401), Fuqing Maternity and Child Health Hospital (approval number: FY2024003), Changting Maternity and Child Health Hospital (approval number: 202401), Datian Maternity and Child Health Hospital (approval number: dtfy202401) and Quanzhou Maternity and Child Health Hospital (approval number: 2024(50)). We will disseminate our findings by publishing articles in leading peer-reviewed journals. TRIAL REGISTRATION NUMBER ChiCTR2300071496.
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Affiliation(s)
- Lihua Lin
- Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China
| | - Jiayi Dong
- Fujian Obstetrics and Gynecology Hospital, Fuzhou, Fujian, China
| | - Youxin Wang
- North China University of Science and Technology School of Public Health, Tangshan, Hebei, China
| | - Libin Song
- Fuzhou Comvee Network & Technology Co., Ltd, Fuzhou, Fujian, China
| | - Xiaoyan Ye
- Fuzhou Comvee Network & Technology Co., Ltd, Fuzhou, Fujian, China
| | - Xingying Chen
- Fuzhou Comvee Network & Technology Co., Ltd, Fuzhou, Fujian, China
| | - Chong Miao
- Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China
| | - Juan Lin
- Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China
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Arnoriaga-Rodríguez M, Serrano I, Paz M, Barabash A, Valerio J, del Valle L, O’Connors R, Melero V, de Miguel P, Diaz Á, Familiar C, Moraga I, Pazos-Guerra M, Martínez-Novillo M, Rubio MA, Marcuello C, Ramos-Leví A, Matia-Martín P, Calle-Pascual AL. A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women. Genes (Basel) 2024; 15:482. [PMID: 38674416 PMCID: PMC11049498 DOI: 10.3390/genes15040482] [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: 03/18/2024] [Revised: 04/07/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
The pathophysiology of gestational diabetes mellitus (GDM) comprises clinical and genetic factors. In fact, GDM is associated with several single nucleotide polymorphisms (SNPs). This study aimed to build a prediction model of GDM combining clinical and genetic risk factors. A total of 1588 pregnant women from the San Carlos Cohort participated in the present study, including 1069 (67.3%) Caucasian (CAU) and 519 (32.7%) Latin American (LAT) individuals, and 255 (16.1%) had GDM. The incidence of GDM was similar in both groups (16.1% CAU and 16.0% LAT). Genotyping was performed via IPLEX Mass ARRAY PCR, selecting 110 SNPs based on literature references. SNPs showing the strongest likelihood of developing GDM were rs10830963, rs7651090, and rs1371614 in CAU and rs1387153 and rs9368222 in LAT. Clinical variables, including age, pre-pregnancy body mass index, and fasting plasma glucose (FPG) at 12 gestational weeks, predicted the risk of GDM (AUC 0.648, 95% CI 0.601-0.695 in CAU; AUC 0.688, 95% CI 0.628-9.748 in LAT), and adding SNPs modestly improved prediction (AUC 0.722, 95%CI 0.680-0.764 in CAU; AUC 0.769, 95% CI 0.711-0.826 in LAT). In conclusion, adding genetic variants enhanced the prediction model of GDM risk in CAU and LAT pregnant women.
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Affiliation(s)
- María Arnoriaga-Rodríguez
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Irene Serrano
- Unidad de Apoyo a la Investigación, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Biomedical Research Networking Center in Cancer (CIBERONC), 28040 Madrid, Spain; (I.S.); (M.P.)
| | - Mateo Paz
- Unidad de Apoyo a la Investigación, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Biomedical Research Networking Center in Cancer (CIBERONC), 28040 Madrid, Spain; (I.S.); (M.P.)
| | - Ana Barabash
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - Johanna Valerio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Laura del Valle
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Rocio O’Connors
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Verónica Melero
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Paz de Miguel
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Ángel Diaz
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Cristina Familiar
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Inmaculada Moraga
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Mario Pazos-Guerra
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Mercedes Martínez-Novillo
- Clinical Laboratory Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Miguel A. Rubio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Clara Marcuello
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Ana Ramos-Leví
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
| | - Pilar Matia-Martín
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Alfonso L. Calle-Pascual
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (A.B.); (J.V.); (L.d.V.); (V.M.); (P.d.M.); (Á.D.); (C.F.); (I.M.); (M.P.-G.); (M.A.R.); (C.M.); (A.R.-L.)
- Facultad de Medicina, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
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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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Li R, Wang Y, Yang L, Zhong P, Huang G, Liang Q, Yu X. Genetic variants of ERBB4 gene and risk of gestational diabetes mellitus: a susceptibility and diagnostic nomogram study. Front Endocrinol (Lausanne) 2023; 14:1283539. [PMID: 38149095 PMCID: PMC10749950 DOI: 10.3389/fendo.2023.1283539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 11/15/2023] [Indexed: 12/28/2023] Open
Abstract
Introduction Gestational diabetes (GDM) is one of the common complications of female pregnancy, which seriously affects the health of mothers and their offspring. So far, the etiology has not been fully clarified. Methods A case-control study was conducted to clarify the relationship between Erb-b2 receptor tyrosine kinase 4 (ERBB4) functional tag genetic variants (rs1595064, rs1595065, rs1595066 and rs6719645) and the risk of GDM. Associations between variants and GDM risk were evaluated with the odds ratios (ORs) and their corresponding 95% confidence intervals (CIs). Subsequently, the false-positive reporting probability (FPRP), multi-factor dimension reduction (MDR) and bioinformatics analysis were adopted to confirm the significant associations. A nomogram model was constructed to predict the risk of GDM. Results Association analysis demonstrated that rs1595066 TT genotype performed a protective effect on GDM risk among all subjects (TT vs. CC: adjusted OR = 0.60, 95% CI = 0.38 - 0.94, P = 0.026; TT vs. CC/CT: adjusted OR = 0.61, 95% CI = 0.40 - 0.95, P = 0.027). Meanwhile, stratified analysis showed that rs1595066 TT can also reduce the GDM risk in age > 30.09 years old, pre-pregnancy BMI > 22.23 Kg/m2, SBP ≤ 110.08 mmHg, etc subgroups. Interactions between rs1595066 and DBP (P interaction = 0.01), FPG (P interaction < 0.001) and HbA1c (P interaction < 0.001) were detected. The FPRP analysis confirmed that association between rs1595066 and GDM risk in subjects of FPG < 4.79 mmol/L (P = 0.199) is true. The MDR analysis showed that rs1595066 was the best single locus model while the 4-loci model was the best multiple factors model to predict GDM risk. Functional prediction revealed that rs1595066 may disturb the stability of miRNA-mRNA binding. The predictive nomogram model has a well consistence and acceptable discriminative ability with a diagnosed AUC of 0.813. Discussion ERBB4 variants can change an individual's susceptibility to GDM via the interaction of gene-gene, gene-environment and changes in the regulatory effects of miRNAs on ERBB4 expression.
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Affiliation(s)
- Ruiqi Li
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, China
| | - Yukun Wang
- Scientific Experiment Center, Guilin Medical University, Guilin, China
| | - Lin Yang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, China
| | - Ping Zhong
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Gongchen Huang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, China
| | - Qiulian Liang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, China
| | - Xiangyuan Yu
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Guilin, China
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Hariri A, Mirian M, Zarrabi A, Kohandel M, Amini-Pozveh M, Aref AR, Tabatabaee A, Prabhakar PK, Sivakumar PM. The circadian rhythm: an influential soundtrack in the diabetes story. Front Endocrinol (Lausanne) 2023; 14:1156757. [PMID: 37441501 PMCID: PMC10333930 DOI: 10.3389/fendo.2023.1156757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/03/2023] [Indexed: 07/15/2023] Open
Abstract
Type 2 Diabetes Mellitus (T2DM) has been the main category of metabolic diseases in recent years due to changes in lifestyle and environmental conditions such as diet and physical activity. On the other hand, the circadian rhythm is one of the most significant biological pathways in humans and other mammals, which is affected by light, sleep, and human activity. However, this cycle is controlled via complicated cellular pathways with feedback loops. It is widely known that changes in the circadian rhythm can alter some metabolic pathways of body cells and could affect the treatment process, particularly for metabolic diseases like T2DM. The aim of this study is to explore the importance of the circadian rhythm in the occurrence of T2DM via reviewing the metabolic pathways involved, their relationship with the circadian rhythm from two perspectives, lifestyle and molecular pathways, and their effect on T2DM pathophysiology. These impacts have been demonstrated in a variety of studies and led to the development of approaches such as time-restricted feeding, chronotherapy (time-specific therapies), and circadian molecule stabilizers.
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Affiliation(s)
- Amirali Hariri
- Department of Pharmaceutical Biotechnology, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mina Mirian
- Department of Pharmaceutical Biotechnology, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali Zarrabi
- Department of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Türkiye
| | - Mohammad Kohandel
- Department of Applied Mathematics, Faculty of Mathematics, University of Waterloo, Waterloo, ON, Canada
| | - Maryam Amini-Pozveh
- Department of Prosthodontics Dentistry, Dental Materials Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Amir Reza Aref
- Belfer Center for Applied Cancer Science, Dana Farber Cancer Institute, Boston, MA, United States
- Translational Sciences, Xsphera Biosciences Inc., Boston, MA, United States
| | - Aliye Tabatabaee
- School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Pranav Kumar Prabhakar
- Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Lovely Professional University, Phagwara, Punjab, India
- Division of Research and Development, Lovely Professional University, Phagwara Punjab, India
| | - Ponnurengam Malliappan Sivakumar
- Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
- School of Medicine and Pharmacy, Duy Tan University, Da Nang, Vietnam
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Chen F, Fei X, Li M, Zhang Z, Zhu W, Zhang M, Chen X, Xu J, Zhang M, Shen Y, Du J. Associations of the MTNR1B rs10830963 and PPARG rs1801282 variants with gestational diabetes mellitus: A meta-analysis. Int J Diabetes Dev Ctries 2023. [DOI: 10.1007/s13410-023-01188-2] [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: 03/28/2023] Open
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Abstract
Gestational diabetes mellitus (GDM) traditionally refers to abnormal glucose tolerance with onset or first recognition during pregnancy. GDM has long been associated with obstetric and neonatal complications primarily relating to higher infant birthweight and is increasingly recognized as a risk factor for future maternal and offspring cardiometabolic disease. The prevalence of GDM continues to rise internationally due to epidemiological factors including the increase in background rates of obesity in women of reproductive age and rising maternal age and the implementation of the revised International Association of the Diabetes and Pregnancy Study Groups' criteria and diagnostic procedures for GDM. The current lack of international consensus for the diagnosis of GDM reflects its complex historical evolution and pragmatic antenatal resource considerations given GDM is now 1 of the most common complications of pregnancy. Regardless, the contemporary clinical approach to GDM should be informed not only by its short-term complications but also by its longer term prognosis. Recent data demonstrate the effect of early in utero exposure to maternal hyperglycemia, with evidence for fetal overgrowth present prior to the traditional diagnosis of GDM from 24 weeks' gestation, as well as the durable adverse impact of maternal hyperglycemia on child and adolescent metabolism. The major contribution of GDM to the global epidemic of intergenerational cardiometabolic disease highlights the importance of identifying GDM as an early risk factor for type 2 diabetes and cardiovascular disease, broadening the prevailing clinical approach to address longer term maternal and offspring complications following a diagnosis of GDM.
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Affiliation(s)
- Arianne Sweeting
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Jencia Wong
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Helen R Murphy
- Diabetes in Pregnancy Team, Cambridge University Hospitals, Cambridge, UK.,Norwich Medical School, Bob Champion Research and Education Building, University of East Anglia, Norwich, UK.,Division of Women's Health, Kings College London, London, UK
| | - Glynis P Ross
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, Australia
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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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Liu J, Li W, Liu B, Dai A, Wang Y, She L, Zhang P, Zheng W, Dai Q, Yang M. Melatonin Receptor 1B Genetic Variants on Susceptibility to Gestational Diabetes Mellitus: A Hospital-Based Case-Control Study in Wuhan, Central China. Diabetes Metab Syndr Obes 2022; 15:1207-1216. [PMID: 35480849 PMCID: PMC9035465 DOI: 10.2147/dmso.s345036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 04/01/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE The aim of the study was to find out the associations of Melatonin receptor 1B (MTNR1B) genetic variants with gestational diabetes mellitus (GDM) in Wuhan of central China. PATIENTS AND METHODS A hospital-based case-control study that included 1679 women was carried out to explore the associations of MTNR1B single nucleotide polymorphisms (SNPs) with GDM risk, which were analyzed through logistic regression analysis by adjusting age, pre-pregnancy BMI and family history of diabetes. Multifactor dimensionality reduction was applied to determine gene-gene interactions between SNPs. RESULTS MTNR1B SNPs rs10830962, rs10830963, rs1387153, rs7936247 and rs4753426 were significantly associated with GDM risk (P<0.05). The rs10830962/G, rs10830963/G, rs1387153/T, and rs7936247/T were risk variants, whereas rs4753426/T was protective variant for GDM development. Fasting plasma glucose (FPG) and 1h-plasma glucose (PG) were significantly different among genotypes at rs10830962 and rs10830963, whereas 2h-PG levels were not. Gene-gene interactions were not found among the five SNPs on GDM risk. CONCLUSION MTNR1B genetic variants have significant associations but no gene-gene interactions with GDM risk in central Chinese population. Furthermore, MTNR1B SNPs have significant relationships with glycemic traits.
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Affiliation(s)
- Jianqiong Liu
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Wei Li
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Bei Liu
- Technical Guidance Institute, Jinan Family Planning Service Center, Jinan, Shandong Province, People's Republic of China
| | - Anna Dai
- School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Yanqin Wang
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Lu She
- School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
- Research Center for Health Promotion in Women, Youth and Children, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Pei Zhang
- School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
- Research Center for Health Promotion in Women, Youth and Children, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Wenpei Zheng
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Qiong Dai
- Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
| | - Mei Yang
- School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
- Research Center for Health Promotion in Women, Youth and Children, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China
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11
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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: 20] [Impact Index Per Article: 6.7] [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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12
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Park S. Interaction of Polygenetic Variants for Gestational Diabetes Mellitus Risk with Breastfeeding and Korean Balanced Diet to Influence Type 2 Diabetes Risk in Later Life in a Large Hospital-Based Cohort. J Pers Med 2021; 11:1175. [PMID: 34834527 PMCID: PMC8619899 DOI: 10.3390/jpm11111175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 11/02/2021] [Accepted: 11/09/2021] [Indexed: 11/25/2022] Open
Abstract
The etiologies of gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM) are similar. Genetic and environmental factors interact to influence the risk of both types of diabetes. We aimed to determine if the polygenetic risk scores (PRS) for GDM risk interacted with lifestyles to influence type 2 diabetes risk in women aged >40 years in a large hospital-based city cohort. The participants with GDM diagnosis without T2DM before pregnancy were considered the case group (n = 384) and those without GDM and T2DM as the control (n = 33,956) to explore GDM-related genetic variants. The participants with T2DM were the case (n = 2550), and the control (n = 33,956) was the same as GDM genetic analysis for the interaction analysis of GDM genetic risk with lifestyles to influence T2DM risk. The genetic variants for the GDM risk were selected from a genome-wide association study (GWAS), and their PRS from the best model with gene-gene interactions were generated. GDM was positively associated with age at first pregnancy, body mass index (BMI) at age 20, and education level. A previous GDM diagnosis increased the likelihood of elevated fasting serum glucose concentrations and HbA1c contents by 8.42 and 9.23 times in middle-aged and older women. However, it was not associated with the risk of any other metabolic syndrome components. Breast-feeding (≥1 year) was inversely associated with the T2DM risk in later life. In the genetic variant-genetic variant interaction, the best model with 5-SNPs included PTPRD_rs916855529, GPC6_rs9589710, CDKAL1_rs7754840, PRKAG2_rs11975504, and PTPRM_rs80164908. The PRS calculated from the 5-SNP model was positively associated with the GDM risk by 3.259 (2.17-4.89) times after adjusting GDM-related covariates. The GDM experience interacted with PRS for the T2DM risk. Only in non-GDM women PRS was positively associated with T2DM risk by 1.36-times. However, long breastfeeding did not interact with the PRS for T2DM risk. Among dietary patterns, only a Korean-style balanced diet (KBD) showed an interaction with PRS for the T2DM risk. Participants with a low-PRS had the lowest serum glucose concentrations in the high KBD intake but not low KBD intake. In conclusion, participants with a high PRS for GDM risk are positively associated with T2DM risk, and breastfeeding for ≥1 year and consuming KBD offset the PRS for GDM risk to influence T2DM risk in middle-aged and older.
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Affiliation(s)
- Sunmin Park
- Obesity/Diabetes Research Center, Department of Food and Nutrition, Institute of Basic Science, Hoseo University, YejunBio, 165 Sechul-Ri, BaeBang-Yup Asan-Si, ChungNam-Do, Asan 336-795, Korea
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13
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Association between functional genetic variants in retinoid X receptor-α/γ and the risk of gestational diabetes mellitus in a southern Chinese population. Biosci Rep 2021; 41:229913. [PMID: 34633445 PMCID: PMC8529336 DOI: 10.1042/bsr20211338] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/23/2021] [Accepted: 10/07/2021] [Indexed: 12/28/2022] Open
Abstract
To clarify the effect of retinoid X receptor-α/γ (RXR-α/γ) genes functional genetic variants (RXR-α rs4842194 G>A, RXR-γ rs100537 A>G and rs2134095 T>C) on the risk of gestational diabetes mellitus (GDM), a case–control study with 573 GDM patients and 740 pregnant women with normal glucose tolerance was performed in Guangxi area of China. An odds ratio (OR) with its corresponding 95% confidence interval (CI) was used to assess the strengths of the association between genetic variation and GDM. After adjustment of age and pre-BMI, the logistic regression analysis showed that the rs2134095 was significantly associated with GDM risk (CC vs. TT/TC: adjusted OR = 0.71, 95% CI = 0.56–0.90) in all subjects, and this result remained highly significant after Bonferroni’s correction for multiple testing (P=0.004). The stratified analysis showed that rs2134095 was significantly associated with the risk of GDM among age > 30 years (adjusted OR = 0.61, 95% CI = 0.39–0.97), BMI > 22 kg/m2 (adjusted OR = 0.46, 95% CI = 0.30–0.70), systolic blood pressure (SBP) > 120 mmHg (adjusted OR = 1.96, 95% CI = 1.14–3.36), glycosylated hemoglobin A1c (HbA1c) < 6.5% (adjusted OR = 1.41, 95% CI = 1.11–1.78), TG ≤ 1.7 mmol/l (adjusted OR = 2.57, 95% CI = 1.45–4.53), TC ≤ 5.18 mmol/l (adjusted OR = 1.58, 95% CI = 1.13–2.22), high-density lipoprotein cholesterol (HDL-c) ≤ 1.5 mmol/l (adjusted OR = 1.70, 95% CI = 1.16–2.49) and low-density lipoprotein cholesterol (LDL-c) > 3.12 mmol/l (adjusted OR = 1.47, 95% CI = 1.08–2.00) subjects, under the recessive genetic model. We also found that rs2134095 interacted with age (Pinteraction=0.039), pre-BMI (Pinteraction=0.040) and TG (Pinteraction=0.025) influencing individual’s genetic susceptibility to GDM. The rs2134095 T>C is significantly associated with the risk of GDM by effect of a single locus and/or complex joint gene–gene and gene–environment interactions. Larger sample-size and different population studies are required to confirm the findings.
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14
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Mierzyński R, Poniedziałek-Czajkowska E, Sotowski M, Szydełko-Gorzkowicz M. Nutrition as Prevention Factor of Gestational Diabetes Mellitus: A Narrative Review. Nutrients 2021; 13:nu13113787. [PMID: 34836042 PMCID: PMC8625817 DOI: 10.3390/nu13113787] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 12/16/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is defined as a glucose tolerance disorder with onset or first recognition during pregnancy. GDM is associated with several adverse maternal and neonatal outcomes. Management to reduce the incidence of GDM could decrease the incidence of these complications. Modification of nutrition in the prevention of GDM is postulated. The vital issue in GDM prevention is the implementation of proper dietary patterns, appropriate physical activity, and a combination of diet and lifestyle modifications. However, intervention studies examining the effects of diet and lifestyle on GDM prevention are contradictory. The aim of this study was to review the scientific evidence on nutritional prevention strategies, including diet and supplementation of some substances such as probiotics, micro/macroelements, fiber, myoinositol, and vitamins that may be effective in reducing the risk of GDM. The presented article is a narrative review. This article indicates that certain nutritional factors may have some benefit in preventing GDM. However, further studies in a variety of populations and large groups of patients are needed. At present, no definitive conclusions can be drawn as to the best intervention in the prevention of GDM.
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15
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Laste G, Silva AAD, Gheno BR, Rychcik PM. Relationship between melatonin and high-risk pregnancy: A review of investigations published between the years 2010 and 2020. Chronobiol Int 2021; 38:168-181. [PMID: 33432828 DOI: 10.1080/07420528.2020.1863975] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The purpose of this review was to search for articles on human studies investigating the relationship between melatonin and high-risk pregnancy. An electronic search was conducted in the MEDLINE and PubMed databases from September 2010 to October 2020. The initial search produced 441 articles in PubMed and 407 in MEDLINE. After sorting the titles and abstracts, and removing duplicates, we had nine articles in PubMed and three in Medline. The results of these studies mainly show that the association between melatonin receptor 1B polymorphisms and gestational diabetes mellitus is the most common physiological mechanism relating to melatonin and high-risk pregnancy in this review. In addition, the circadian rhythm, decreased melatonin production, and anti-inflammatory and antioxidant effects were explored. The findings of our review of the literature suggest that this indoleamine is essential in high-risk pregnancy for its potent anti-inflammatory and antioxidant effects, regulation of the circadian rhythm, and genic receptor expression.
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Affiliation(s)
- Gabriela Laste
- Programa de Pós-Graduação em Ciências Médicas, Universidade do Vale do Taquari - Univates , Lajeado, Brasil
| | - André Anjos da Silva
- Programa de Pós-Graduação em Ciências Médicas, Universidade do Vale do Taquari - Univates , Lajeado, Brasil
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16
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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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17
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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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18
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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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19
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Genome-wide association study of metabolic syndrome in Korean populations. PLoS One 2020; 15:e0227357. [PMID: 31910446 PMCID: PMC6946588 DOI: 10.1371/journal.pone.0227357] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 12/17/2019] [Indexed: 12/24/2022] Open
Abstract
Metabolic syndrome (MetS) which is caused by obesity and insulin resistance, is well known for its predictive capability for the risk of type 2 diabetes mellitus and cardiovascular disease. The development of MetS is associated with multiple genetic factors, environmental factors and lifestyle. We performed a genome-wide association study to identify single-nucleotide polymorphism (SNP) related to MetS in large Korean population based samples of 1,362 subjects with MetS and 6,061 controls using the Axiom® Korean Biobank Array 1.0. We replicated the data in another sample including 502 subjects with MetS and 1,751 controls. After adjusting for age and sex, rs662799 located in the APOA5 gene were significantly associated with MetS. 15 SNPs in GCKR, C2orf16, APOA5, ZPR1, and BUD13 were associated with high triglyceride (TG). 14 SNPs in APOA5, ALDH1A2, LIPC, HERPUD1, and CETP, and 2 SNPs in MTNR1B were associated with low high density lipoprotein cholesterol (HDL-C) and high fasting blood glucose respectively. Among these SNPs, 6 TG SNPs: rs1260326, rs1260333, rs1919127, rs964184, rs2075295 and rs1558861 and 11 HDL-C SNPs: rs4775041, rs10468017, rs1800588, rs72786786, rs173539, rs247616, rs247617, rs3764261, rs4783961, rs708272, and rs7499892 were first discovered in Koreans. Additional research is needed to confirm these 17 novel SNPs in Korean population.
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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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Song C, Wang M, Fang H, Gong W, Mao D, Ding C, Fu Q, Feng G, Chen Z, Ma Y, Yao Y, Liu A. Effects of variants of 50 genes on diabetes risk among the Chinese population born in the early 1960s. J Diabetes 2019; 11:857-868. [PMID: 30907055 PMCID: PMC6850447 DOI: 10.1111/1753-0407.12922] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 03/06/2019] [Accepted: 03/21/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Genome-wide association studies have identified loci that significantly increase diabetes risk. This study explored the genetic susceptibility in relation to diabetes risk in adulthood among a Chinese population born in the early 1960s. METHODS In all, 2129 subjects (833 males, 1296 females) were selected from the cross-sectional 2010 to 2012 China National Nutrition and Health Survey. Fifty diabetes-related single nucleotide polymorphisms (SNPs) were detected. Two diabetes genetic risk scores (GRSs) based on the 50 diabetes-predisposing variants were developed to examine the association of these SNPs with diabetes risk. RESULTS Associations were found between diabetes risk and SNPs in the MTNR1B (rs10830963), KLHDC5 (rs10842994), GRK5 (rs10886471), cyclindependentkinase 5 regulatory subunit associated protein 1 (rs10946398), adaptorrelated protein complex 3 subunit sigma 2 (rs2028299), diacylglycerol kinase beta/transmembrane protein 195 (rs2191349), SREBF chaperone (rs4858889), ankyrin1 (rs516946), RAS guanyl releasing protein 1 (rs7403531), and zinc finger AN1-type containing 3 (rs9470794) genes. As a continuous variable, with a 1-point increase in the GRS or weighted (w) GRS, fasting plasma glucose (FPG) increased 0.045 and 0.044 mM, respectively (P < 0.001 for both), after adjusting for confounders. Both GRS and wGRS showed an association with diabetes, with a multivariable-adjusted odds ratio (95% confidence interval) of 1.09 (1.00-1.19) and 1.12 (1.03-1.22), respectively, among all subjects. No significant associations were found between the GRS or wGRS and impaired fasting glucose or impaired glucose tolerance. CONCLUSIONS The data suggest the association of 10 SNPs and the GRS or wGRS with diabetes risk. Genetic susceptibility to diabetes may synergistically affect the risk of diabetes in adulthood.
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Affiliation(s)
- Chao Song
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Meng Wang
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Hongyun Fang
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Weiyan Gong
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Deqian Mao
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Caicui Ding
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Qiqi Fu
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Ganyu Feng
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Zheng Chen
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Yanning Ma
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Yecheng Yao
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
| | - Ailing Liu
- Chinese Center for Disease Control and PreventionNational Institute for Nutrition and HealthBeijingChina
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Alharbi KK, Al-Sulaiman AM, Shedaid KMB, Al-Shangiti AM, Marie M, Al-Sheikh YA, Ali Khan I. MTNR1B genetic polymorphisms as risk factors for gestational diabetes mellitus: a case-control study in a single tertiary care center. Ann Saudi Med 2019; 39:309-318. [PMID: 31580701 PMCID: PMC6832319 DOI: 10.5144/0256-4947.2019.309] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a metabolic disease in pregnancy that causes carbohydrate intolerance and hyper-glycemia. Genome-wide association studies and meta-analyses have found that the single nucleotide polymorphisms (SNPs) rs1387153 and rs10830963 of the melatonin receptor 1B ( MTNR1B) gene are associated with GDM. No studies on the MTNR1B gene effect on GDM have been performed in Saudis, other Arabs, or other Middle Eastern populations. OBJECTIVES Investigate the association of genotype or allele frequencies of the two SNPs with GDM and with clinical parameters related to GDM. DESIGN Case-control study. SETTINGS Tertiary care center, Riyadh. PATIENTS AND METHODS We recruited 400 pregnant Saudi women ages 18-45 years (200 were diagnosed with GDM, and 200 were healthy controls). Biochemical assays were performed, and rs1387153 and rs10830963 polymorphisms were analyzed by polymerase chain reaction-restriction fragment length polymorphism analysis and real-time polymerase chain reaction with TaqMan genotyping. MAIN OUTCOME MEASURES The association of MTNR1B gene (rs1387153 and rs10830963 polymorphisms) with GDM and with biochemical parameters related to GDM. SAMPLE SIZE 200 GDM cases and 200 non-GDM controls. RESULTS Differences in allele frequencies for GDM vs non-GMD were statistically significant or nearly significant for both SNPs after adjustment for age and body mass index. In a logistic regression analysis, genotype TT was positively associated with post-prandial blood glucose (P=.018), but other associations were not statistically significant. CONCLUSION The odds ratios for the associations between the rs1387153 and rs10830963 SNPs and GDM exceeded 1.5-fold, which is higher than typically reported for diseases with complex genetic background. These effect sizes for GDM suggest pregnancy-specific factors related to the MTNR1B risk genotypes. LIMITATIONS Only two SNPs were studied. CONFLICT OF INTEREST None.
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Affiliation(s)
- Khalid Khalaf Alharbi
- From the Department of Clinical Laboratory Sciences, King Saud University, Riyadh, Saudi Arabia
| | | | | | | | - Mohammed Marie
- From the Department of Clinical Laboratory Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Yazeed A Al-Sheikh
- From the Department of Clinical Laboratory Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Imran Ali Khan
- From the Department of Clinical Laboratory Sciences, King Saud University, Riyadh, Saudi Arabia
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Song J, Jiang X, Juan J, Cao Y, Chibnik LB, Hofman A, Wu T, Hu Y. Role of metabolic syndrome and its components as mediators of the genetic effect on type 2 diabetes: A family-based study in China. J Diabetes 2019; 11:552-562. [PMID: 30520249 DOI: 10.1111/1753-0407.12882] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 11/12/2018] [Accepted: 11/29/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) share a genetic basis with type 2 diabetes (T2D). However, whether MetS and its components mediate genetic susceptibility to T2D is not completely understood. METHODS We assessed the effects of MetS and its components on associations T2D and 18 genome-wide association studies-identified variants using a two-stage strategy based on parametric models involving 7110 Chinese participants (2436 were T2D patients) across 2885 families. Multilevel logistic regression was used to account for the intrafamilial correlation. RESULTS Metabolic syndrome significantly mediated the effect of a melatonin receptor 1B (MTNR1B) polymorphism on T2D risk (OR of average causal mediation effect [ORACME ] 1.004; 95% confidence interval [CI] 1.001-1.008; P = 0.018). In addition, low high-density lipoprotein cholesterol (HDL-C) levels mediated the genetic effects of MTNR1B (ORACME 1.012; 95% CI 1.007-1.015; P < 0.001), solute carrier family 30 member 8 (SLC30A8; ORACME 1.001; 95% CI 1.000-1.007; P < 0.040), B-cell lymphoma/leukemia 11A (BCL11A; ORACME 1.009; 95% CI 1.007-1.016; P < 0.001), prospero homeobox 1 (PROX1; ORACME 1.005; 95% CI 1.003-1.011; P < 0.001) and a disintegrin and metallopeptidase with thrombospondin type 1 motif 9 (ADAMTS9; ORACME 1.006; 95% CI 1.001-1.009; P = 0.022), whereas increased fasting blood glucose (FBG) significantly mediated the genetic effect of BCL11A (ORACME 1.017; 95% CI 1.003-1.021; P = 0.012). CONCLUSIONS This study provides evidence that MetS and two of its components (HDL-C, FBG) may be involved in mediating the genetic predisposition to T2D, which emphasize the importance of maintaining normal HDL-C and FBG levels.
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Affiliation(s)
- Jing Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xia Jiang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Juan Juan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yaying Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Lori B Chibnik
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Albert Hofman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Amaral FGD, Andrade-Silva J, Kuwabara WMT, Cipolla-Neto J. New insights into the function of melatonin and its role in metabolic disturbances. Expert Rev Endocrinol Metab 2019; 14:293-300. [PMID: 31192707 DOI: 10.1080/17446651.2019.1631158] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 06/10/2019] [Indexed: 10/26/2022]
Abstract
INTRODUCTION Melatonin is a pineal hormone that has acquired several unique modes of regulating the physiological effects in mammals due to its characteristic phylogenetic history. While melatonin exhibits immediate nocturnal effects, it also has next-day prospective effects that take place in the absence of this hormone. Besides that, the daily repetition and the annual variation in the duration of its synthesis determine its circadian and seasonal effects that characterize melatonin as a chronobiotic, a molecule that encodes time to the internal environment. Additionally, it presents transgenerational effects that are important for fetal programming, leading to a balanced energy metabolism in the adult life. AREAS COVERED Physiology, pathophysiology and therapeutic value of melatonin in metabolism and metabolic disorders. EXPERT OPINION The typical mechanisms of action of melatonin (immediate, prospective, chronobiotic and transgenerational) should be considered to adequately understand its physiological effects on the regulation of metabolism in humans and, as a result, to understand the metabolic pathophysiological consequences caused by its synthesis and/or signaling disturbances. That points to the importance of a broader understanding of melatonin actions, besides the classical endocrinological point of view, that would allow the clinician/research to proper interpret its role in health maintenance.
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Affiliation(s)
| | - Jéssica Andrade-Silva
- b Department of Physiology and Biophysics , Institute of Biomedical Sciences, University of São Paulo , São Paulo , Brazil
| | - Wilson M T Kuwabara
- b Department of Physiology and Biophysics , Institute of Biomedical Sciences, University of São Paulo , São Paulo , Brazil
| | - José Cipolla-Neto
- b Department of Physiology and Biophysics , Institute of Biomedical Sciences, University of São Paulo , São Paulo , Brazil
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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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Firneisz G, Rosta K, Al-Aissa Z, Hadarits O, Harreiter J, Nádasdi Á, Bancher-Todesca D, Németh L, Igaz P, Rigó J, Sziller I, Kautzky-Willer A, Somogyi A. The MTNR1B rs10830963 Variant in Interaction with Pre-Pregnancy BMI is a Pharmacogenetic Marker for the Initiation of Antenatal Insulin Therapy in Gestational Diabetes Mellitus. Int J Mol Sci 2018; 19:E3734. [PMID: 30477160 PMCID: PMC6321391 DOI: 10.3390/ijms19123734] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 11/14/2018] [Accepted: 11/14/2018] [Indexed: 11/26/2022] Open
Abstract
The rs10830963 variant of the Melatonin Receptor 1B (MTNR1B) gene is associated with the development of gestational diabetes mellitus (GDM). We hypothesized that carrying the rs10830963/G risk allele had effect on antenatal insulin therapy (AIT) initiation in GDM in a body mass index (BMI)-dependent manner. Design: In this post hoc analysis the MTNR1B rs10830963 genotype and the clinical data of 211 Caucasian GDM patients were assessed. As a first step, a pre-pregnancy BMI threshold was determined where the effect of MTNR1B rs10830963/G allele carrying on AIT initiation was the most significant using logistic regression. Maternal age adjusted real-life odds ratios (OR) values were calculated. The chi-square test was also used to calculate the p value and 10.000 bootstrap simulations were performed in each case to re-assess the statistical power and the OR. Carrying the MTNR1B rs10830963/G allele increased the odds of AIT initiation (OR = 5.2, p = 0.02 [χ² test], statistical power = 0.53) in GDM patients with pre-pregnancy BMI ≥ 29 kg/m². The statistical power reached 0.77, when the pre-pregnancy BMI cutoff of 27 kg/m² was used and the genetic effect on AIT initiation was still significant, but only using the logistic regression model. Carrying the MTNR1B rs10830963/G risk allele-in interaction with pre-pregnancy BMI-is likely be considered as a candidate pharmacogenetic marker of antenatal insulin therapy initiation and should be further assessed in precision medicine trials in GDM.
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Affiliation(s)
- Gábor Firneisz
- 2nd Department of Internal Medicine, Semmelweis University, H-1088 Budapest, Hungary.
- MTA-SE Molecular Medicine Research Group, Hungarian Academy of Sciences⁻Semmelweis University, H-1088 Budapest, Hungary.
| | - Klara Rosta
- Department of Obstetrics and Gynecology, Medical University of Vienna, A-1090 Vienna, Austria.
- Department of Obstetrics and Gynecology, Semmelweis University, H-1088 Budapest, Hungary.
| | - Zahra Al-Aissa
- 2nd Department of Internal Medicine, Semmelweis University, H-1088 Budapest, Hungary.
| | - Orsolya Hadarits
- Department of Obstetrics and Gynecology, Semmelweis University, H-1088 Budapest, Hungary.
| | - Jürgen Harreiter
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, A-1090 Vienna, Austria.
| | - Ákos Nádasdi
- 2nd Department of Internal Medicine, Semmelweis University, H-1088 Budapest, Hungary.
| | - Dagmar Bancher-Todesca
- Department of Obstetrics and Gynecology, Medical University of Vienna, A-1090 Vienna, Austria.
| | - László Németh
- Department of Probability Theory and Statistics, Eötvös Loránd University, H-1088 Budapest, Hungary.
| | - Péter Igaz
- 2nd Department of Internal Medicine, Semmelweis University, H-1088 Budapest, Hungary.
- MTA-SE Molecular Medicine Research Group, Hungarian Academy of Sciences⁻Semmelweis University, H-1088 Budapest, Hungary.
| | - János Rigó
- Department of Obstetrics and Gynecology, Semmelweis University, H-1088 Budapest, Hungary.
| | - István Sziller
- Department of Obstetrics and Gynecology, Szent Imre Teaching Hospital, H-1088 Budapest, Hungary.
| | - Alexandra Kautzky-Willer
- Gender Medicine Unit, Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, A-1090 Vienna, Austria.
| | - Anikó Somogyi
- 2nd Department of Internal Medicine, Semmelweis University, H-1088 Budapest, Hungary.
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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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Arora GP, Almgren P, Brøns C, Thaman RG, Vaag AA, Groop L, Prasad RB. Association between genetic risk variants and glucose intolerance during pregnancy in north Indian women. BMC Med Genomics 2018; 11:64. [PMID: 30089489 PMCID: PMC6083526 DOI: 10.1186/s12920-018-0380-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Accepted: 07/25/2018] [Indexed: 11/17/2022] Open
Abstract
Background Gestational diabetes (GDM) is a more common problem in India than in many other parts of the world but it is not known whether this is due to unique environmental factors or a unique genetic background. To address this question we examined whether the same genetic variants associated with GDM and Type 2 Diabetes (T2D) in Caucasians also were associated with GDM in North Indian women. Methods Five thousand one hundred pregnant women of gestational age 24–28 weeks from Punjab were studied by a 75 g oral glucose tolerance test (OGTT). GDM was diagnosed by both WHO1999 and 2013 criteria. 79 single nucleotide polymorphisms (SNPs) previously associated with T2D and glycemic traits (12 of them also with GDM) and 6 SNPs from previous T2D associations based on Indian population (some also with European) were genotyped on a Sequenom platform or using Taqman assays in DNA from 4018 women. Results In support of previous findings in Caucasian GDM, SNPs at KCJN11 and GRB14 loci were nominally associated with GDM1999 risk in Indian women (both p = 0.02). Notably, T2D risk alleles of the variant rs1552224 near CENTD2, rs11708067 in ADCY5 and rs11605924 in CRY2 genes associated with protection from GDM regardless of criteria applied (p < 0.025). SNPs rs7607980 near COBLL1 (p = 0.0001), rs13389219 near GRB14 (p = 0.026) and rs10423928 in the GIPR gene (p = 0.012) as well as the genetic risk score (GRS) for these previously shown insulin resistance loci here associated with insulin resistance defined by HOMA2-IR and showed a trend towards GDM. GRS comprised of 3 insulin secretion loci here associated with insulin secretion but not GDM. Conclusions GDM in women from Punjab in Northern India shows a genetic component, seemingly driven by insulin resistance and secretion and partly shared with GDM in other parts of the world. Most previous T2D loci discovered in European studies did not associate with GDM in North India, indicative of different genetic etiology or alternately, differences in the linkage disequilibrium (LD) structure between populations in which the associated SNPs were identified and Northern Indian women. Interestingly some T2D risk variants were in fact indicative of being protective for GDM in these Indian women. Electronic supplementary material The online version of this article (10.1186/s12920-018-0380-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Geeti P Arora
- Deep Hospital, Ludhiana, Punjab, India.,Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Peter Almgren
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden
| | - Charlotte Brøns
- Department of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark
| | | | - Allan A Vaag
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Department of Endocrinology (Diabetes and Metabolism), Rigshospitalet, Copenhagen, Denmark.,Cardiovascular and Metabolic Disease (CVMD) Translational Medicine Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Leif Groop
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.,Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland
| | - Rashmi B Prasad
- Department of Clinical Sciences, Clinical Research Centre, Lund University, Malmö, Sweden.
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Baek SJ, Kim M, Bae DH, Kim JH, Kim HJ, Han ME, Oh SO, Kim YS, Kim SY. Integrated epigenomic analyses of enhancer as well as promoter regions in gastric cancer. Oncotarget 2018; 7:25620-31. [PMID: 27016420 PMCID: PMC5041931 DOI: 10.18632/oncotarget.8239] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 03/10/2016] [Indexed: 12/13/2022] Open
Abstract
Abnormal DNA methylation is an epigenetic mechanism that promotes gastric carcinogenesis. While the abnormal methylation at promoter regions has been characterized for many genes, the function of DNA methylation marks at distal regulatory regions in gastric cancer remains poorly described. Here, we performed RNA-seq, MBD-seq, and H3K27ac ChIP-seq on gastric tissues and cell lines to understand the epigenetic changes in the distal as well as the proximal regulatory regions. In total, 257,651 significant DMRs (Differentially methylated regions) were identified in gastric cancer, and the majority of these DMRs were located in the intergenic, intronic, and non-coding RNA regions. We identified the aberrant expression of many genes and lncRNAs due to changes in DNA methylation. Furthermore, we profiled the molecular subtype-specific methylation patterns in gastric cancer to characterize subtype-specific regulators that undergo DNA methylation changes. Our findings provide insights for understanding methylation changes at distal regulatory regions and reveal novel epigenetic targets in gastric cancer.
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Affiliation(s)
- Su-Jin Baek
- Department of Functional Genomics, University of Science and Technology, Daejeon, Republic of Korea.,Genomic Structure Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Mirang Kim
- Department of Functional Genomics, University of Science and Technology, Daejeon, Republic of Korea.,Epigenome Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Dong-Hyuck Bae
- Department of Functional Genomics, University of Science and Technology, Daejeon, Republic of Korea.,Epigenome Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Jeong-Hwan Kim
- Epigenome Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Hee-Jin Kim
- Department of Functional Genomics, University of Science and Technology, Daejeon, Republic of Korea.,Epigenome Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Myoung-Eun Han
- Departments of Anatomy and Surgery, School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Sae-Ock Oh
- Departments of Anatomy and Surgery, School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Yong Sung Kim
- Department of Functional Genomics, University of Science and Technology, Daejeon, Republic of Korea.,Epigenome Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Seon-Young Kim
- Department of Functional Genomics, University of Science and Technology, Daejeon, Republic of Korea.,Genomic Structure Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
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Saravani R, Esmaeilzaei E, Noorzehi N, Galavi HR. Melatonin Receptor 1B Gene Polymorphisms, Haplotypes and Susceptibility to Schizophrenia. REV ROMANA MED LAB 2017. [DOI: 10.1515/rrlm-2017-0009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Melatonin has an important role in the regulation of human sleep circadian rhythms. Sleep disturbances commonly exist in schizophrenia (SCZ) patients. To begin its performance, melatonin must interact to its receptor. In the present study, Single Nucleotide Polymorphisms (SNPs) of melatonin receptor gene 1 B (MTN1B) with SCZ development in Iranian population were investigated. The current case-control study was performed on 92 SCZ patients and 92 healthy control (HC) subjects. NESTED-PCR and ARMS-PCR modified methods (combination) and ARMSPCR method were used on the genotype. The impact of MTN1B rs3781637 (T/C) and rs10830963(C/G) polymorphism variants on the risk SCZ in the sample of Iranian population was investigated. The findings showed significant association between MTN1B rs10830963(C/G) variant and SCZ (OR=2.78, 95%CI=1.25-6.25, P=0.012, GG vs. CC, OR=1.66, 95%CI=1.09-2.51, P=0.021 G vs. C, OR=3.85 95%CI=.89-8.33, P<0.0001, GG vs. CC+CG). There was no association between MTN1B rs3781637 (T/C) and SCZ risk. In addition, haplotype analysis revealed that TG and CC haplotype of rs3781637 (T/C) and rs10830963 (C/G) polymorphisms were associated with SCZ risk (P=0.039) and protective (P<0.0001) effects, respectively. The findings revealed that MTN1B rs10830963 (C/G) polymorphism was associated with the risk of SCZ; while another SNP rs3781637 (T/C) MTN1B gene did not show any risk/protection association with SCZ. Further studies with larger sample sizes and different ethnicities are required to approve the results.
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Affiliation(s)
- Ramin Saravani
- Cellular and Molecular Research Center and Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences , Zahedan , Iran (Islamic Republic of)
| | - Elahe Esmaeilzaei
- Department of Genetics, School of Medicine, Zahedan University of Medical Sciences , Zahedan , Iran (Islamic Republic of)
| | - Nafiseh Noorzehi
- Department of Biology, Zabol University , Zabol , Iran (Islamic Republic of)
| | - Hamid Reza Galavi
- Cellular and Molecular Research Center and Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences , Zahedan , Iran (Islamic Republic of)
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Moon JH, Kwak SH, Jang HC. Prevention of type 2 diabetes mellitus in women with previous gestational diabetes mellitus. Korean J Intern Med 2017; 32:26-41. [PMID: 28049284 PMCID: PMC5214732 DOI: 10.3904/kjim.2016.203] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2016] [Accepted: 12/12/2016] [Indexed: 02/07/2023] Open
Abstract
Gestational diabetes mellitus (GDM), defined as any degree of glucose intolerance with onset or first recognition during pregnancy, is characterized by underlying maternal defects in the β-cell response to insulin during pregnancy. Women with a previous history of GDM have a greater than 7-fold higher risk of developing postpartum diabetes compared with women without GDM. Various risk factors for postpartum diabetes have been identified, including maternal age, glucose levels in pregnancy, family history of diabetes, pre-pregnancy and postpartum body mass index, dietary patterns, physical activity, and breastfeeding. Genetic studies revealed that GDM shares common genetic variants with type 2 diabetes. A number of lifestyle interventional trials that aimed to ameliorate modifiable risk factors, including diet, exercise, and breastfeeding, succeeded in reducing the incidence of postpartum diabetes, weight retention, and other obesity-related morbidities. The present review summarizes the findings of previous studies on the incidence and risk factors of postpartum diabetes and discusses recent lifestyle interventional trials that attempted to prevent postpartum diabetes.
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Affiliation(s)
- Joon Ho Moon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Hak C. Jang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
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Silva-Zolezzi I, Samuel TM, Spieldenner J. Maternal nutrition: opportunities in the prevention of gestational diabetes. Nutr Rev 2017; 75:32-50. [PMID: 28049748 PMCID: PMC5437972 DOI: 10.1093/nutrit/nuw033] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is currently defined as glucose intolerance that is of variable severity with onset or first recognition during pregnancy. The Hyperglycemia and Adverse Pregnancy Outcome Study, including 25 000 nondiabetic pregnant women in 15 centers across the world, reported that an average of 17.8% of pregnancies are affected by GDM and its frequency can be as high as 25.5% in some countries, based on the International Association of Diabetes and Pregnancy Study Groups criteria. Nevertheless, true global prevalence estimates of GDM are currently lacking due to the high level of heterogeneity in screening approaches, diagnostic criteria, and differences in the characteristics of the populations that were studied. The presence of systemic high blood glucose levels in pregnancy results in an adverse intrauterine environment, which has been shown to have a negative impact on short- and long-term health outcomes for both the mother and her offspring, including increased risks for the infant to develop obesity and for both mother and child to develop type 2 diabetes mellitus later in life. Epigenetic mechanisms that are directly influenced by environmental factors, including nutrition, may play a key role in shaping these future health risks and may be part of this vicious cycle. This article reviews the burden of GDM and the current evidence that supports maternal nutritional interventions as a promising strategy to break the cycle by addressing risk factors associated with GDM.
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Affiliation(s)
- Irma Silva-Zolezzi
- J. Spieldenner and T.M. Samuel are with Public Health Nutrition, Nestlé Research Center, Lausanne, Switzerland. I. Silva-Zolezzi is with Nutrition and Health Research, Nestlé Research Center, Lausanne, Switzerland
| | - Tinu Mary Samuel
- J. Spieldenner and T.M. Samuel are with Public Health Nutrition, Nestlé Research Center, Lausanne, Switzerland. I. Silva-Zolezzi is with Nutrition and Health Research, Nestlé Research Center, Lausanne, Switzerland
| | - Jörg Spieldenner
- J. Spieldenner and T.M. Samuel are with Public Health Nutrition, Nestlé Research Center, Lausanne, Switzerland. I. Silva-Zolezzi is with Nutrition and Health Research, Nestlé Research Center, Lausanne, Switzerland.
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33
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Genetic variants associated with gestational diabetes mellitus: a meta-analysis and subgroup analysis. Sci Rep 2016; 6:30539. [PMID: 27468700 PMCID: PMC4965817 DOI: 10.1038/srep30539] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 07/06/2016] [Indexed: 12/21/2022] Open
Abstract
Previous studies have demonstrated that gestational diabetes mellitus (GDM) and Type 2 diabetes mellitus (T2D) share common genetic polymorphisms. We conducted meta-analysis and subgroup analysis of all available variants and determined the effects of confounding and experimental components on the genetic association of GDM. Any case-controlled or cohort studies with genotype distribution compared GDM cases with controls were included. In total, 28 articles including 8,204 cases and 15,221 controls for 6 polymorphisms were studied. rs10830963(MTNR1B), rs7903146(TCF7L2), and rs1801278(IRS1) were significantly associated with the increased GDM risk. The association of rs4402960(IGF2BP2) and rs1800629(TNF-α) was significant only when the studies with control allele frequency deviation and publication bias were excluded. Further subgroup analysis showed the risk alleles of rs7903146(TCF7L2) and rs1801282(PPARG) were significantly associated with the GDM risk only in Asian, but not in Caucasian population. The OGTT test using 100 g, but not 75 g; and genotype detection by other assays, but not Taqman method, were also significantly associated with increased GDM risk in rs1801278(IRS1) and rs7903146(TCF7L2). Overall GDM was associated with rs10830963(MTNR1B), rs7903146(TCF7L2), and rs1801278(IRS1), but only rs7903146(TCF7L2) and rs1801282(PPARG) were significant in Asian populations. While rs1801278(IRS1) and rs7903146(TCF7L2) were significantly affected by OGTT protocol and genotyping methods.
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Liu Q, Huang Z, Li H, Bai J, Liu X, Ye H. Relationship between melatonin receptor 1B (rs10830963 and rs1387153) with gestational diabetes mellitus: a case-control study and meta-analysis. Arch Gynecol Obstet 2015; 294:55-61. [PMID: 26563312 DOI: 10.1007/s00404-015-3948-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Accepted: 10/28/2015] [Indexed: 10/22/2022]
Abstract
PURPOSE Variants rs10830963 (C/G) and rs1387153 (C/T) in MTNR1B have been shown with an increased risk of developing type 2 diabetes and gestational diabetes mellitus. However, the results are still controversial, and evidence was not satisfied. Hence, a case-control study and a further meta-analysis will be performed in this study. METHODS We recruited 674 GDM patients and 690 controls from Jan 2010 and Jan 2014. The SNPs were genotyped by ABI TaqMan SNP Genotyping Assays. MTNR1B rs10830963 and rs1387153 single nucleotide polymorphisms (SNPs) were performed for association analysis. Then a systematic search of all relevant studies was conducted. A meta-analysis was performed to prove the relationship between melatonin receptor 1B (rs10830963 and rs1387153) with GDM. RESULTS The case-control study presented that G allele of the rs10830963 and T allele of rs1387153 were significantly associated with increased risk of GDM. The further meta-analysis included other five studies showed that the frequency of MTNR1B rs10830963 G allele and rs1387153 T allele are higher in GDM patients. CONCLUSION The case-control study proved that the risk allele (G allele) of rs10830963 and (T allele) of rs1387153 lead to a higher risk for GDM. The further meta-analysis provides additional evidence supporting the above results. Due to the limited data currently available in different race population, further studies with large sample sizes are required.
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Affiliation(s)
- Qiong Liu
- Department of Obstetries and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, China
| | - ZhiSheng Huang
- Department of Obstetries and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, China
| | - Hua Li
- Department of Obstetries and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, China
| | - Jing Bai
- Department of Obstetries and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, China
| | - XiuJuan Liu
- Department of Obstetries and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, China
| | - Hong Ye
- Department of Obstetries and Gynecology, The First Clinical Medical College of Three Gorges University, Yichang Central People's Hospital, Yichang, China.
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Kanthimathi S, Chidambaram M, Liju S, Bhavadharini B, Bodhini D, Prakash VG, Amutha A, Bhavatharini A, Anjana RM, Mohan V, Radha V. Identification of Genetic Variants of Gestational Diabetes in South Indians. Diabetes Technol Ther 2015; 17:462-7. [PMID: 25723968 DOI: 10.1089/dia.2014.0349] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND This study examined the association in a South Indian population with gestational diabetes mellitus (GDM) of type 2 diabetes risk variants that have previously conferred susceptibility to GDM in other populations. SUBJECTS AND METHODS The study groups comprised 518 women with GDM and 910 pregnant women with normal glucose tolerance (NGT). Women with GDM were recruited from a tertiary diabetes center in Chennai, in south India, and NGT women were selected from antenatal clinics also in Chennai. Genomic DNA was isolated from whole blood using the phenol chloroform method. Twelve previously reported GDM-associated single nucleotide polymorphisms (SNPs) in or near nine loci were genotyped using the MassARRAY™ system (Sequenom, San Diego, CA). RESULTS Among the 12 SNPs genotyped, 11 SNPs were in Hardy-Weinberg equilibrium and had a call rate of >95%. Of the 11 SNPs previously associated with GDM in other populations, significant association was observed only with the rs7754840 and rs7756992 SNPs of the CDK5 regulatory subunit associated protein 1-like 1 (CDKAL1) gene in this population. The minor alleles of the SNPs rs7754840 and rs7756992 showed significant susceptibility to GDM with an odds ratio of 1.34 (95% confidence interval, 1.12-1.60; P = 0.0013) and 1.45 (95% confidence interval, 1.21-1.72; P = 0.00004), respectively. CONCLUSIONS The rs7754840 and rs7756992 SNPs of the CDKAL1 gene were found to be associated with GDM in this south Indian population. This is the first study describing genetic susceptibility of GDM in Asian Indians.
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Affiliation(s)
| | | | - Samuel Liju
- 1 Madras Diabetes Research Foundation , Chennai, India
| | | | | | | | | | | | - Ranjit Mohan Anjana
- 1 Madras Diabetes Research Foundation , Chennai, India
- 2 Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention & Control, IDF Centre of Education , Chennai, India
| | - Viswanathan Mohan
- 1 Madras Diabetes Research Foundation , Chennai, India
- 2 Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention & Control, IDF Centre of Education , Chennai, India
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Junior JPL, Frigeri HR, Dos Santos-Weiss ICR, de Souza EM, Rego FGM, Picheth G, Alberton D. The MTNR1B gene polymorphism rs10830963 is associated with gestational diabetes in a Brazilian population. Gene 2015; 568:114-5. [PMID: 25982863 DOI: 10.1016/j.gene.2015.05.024] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Accepted: 05/11/2015] [Indexed: 11/30/2022]
Affiliation(s)
- João Paulo Lobo Junior
- Graduate Program in Pharmaceutical Sciences, Department of Clinical Analysis, Federal University of Parana (UFPR), Curitiba, PR, Brazil
| | - Henrique R Frigeri
- Graduate Program in Pharmaceutical Sciences, Department of Clinical Analysis, Federal University of Parana (UFPR), Curitiba, PR, Brazil
| | - Izabella C R Dos Santos-Weiss
- Graduate Program in Pharmaceutical Sciences, Department of Clinical Analysis, Federal University of Parana (UFPR), Curitiba, PR, Brazil
| | - Emanuel M de Souza
- Department of Biochemistry and Molecular Biology, UFPR, Curitiba, PR, Brazil
| | - Fabiane G M Rego
- Graduate Program in Pharmaceutical Sciences, Department of Clinical Analysis, Federal University of Parana (UFPR), Curitiba, PR, Brazil
| | - Geraldo Picheth
- Graduate Program in Pharmaceutical Sciences, Department of Clinical Analysis, Federal University of Parana (UFPR), Curitiba, PR, Brazil
| | - Dayane Alberton
- Graduate Program in Pharmaceutical Sciences, Department of Clinical Analysis, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
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Vieira E, Burris TP, Quesada I. Clock genes, pancreatic function, and diabetes. Trends Mol Med 2014; 20:685-93. [PMID: 25457619 DOI: 10.1016/j.molmed.2014.10.007] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 10/10/2014] [Accepted: 10/14/2014] [Indexed: 11/28/2022]
Abstract
Circadian physiology is responsible for the temporal regulation of metabolism to optimize energy homeostasis throughout the day. Disturbances in the light/dark cycle, sleep/wake schedule, or feeding/activity behavior can affect the circadian function of the clocks located in the brain and peripheral tissues. These alterations have been associated with impaired glucose tolerance and type 2 diabetes. Animal models with molecular manipulation of clock genes and genetic studies in humans also support these links. It has been demonstrated that the endocrine pancreas has an intrinsic self-sustained clock, and recent studies have revealed an important role of clock genes in pancreatic β cells, glucose homeostasis, and diabetes.
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Affiliation(s)
- Elaine Vieira
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 08033 Barcelona, Spain.
| | - Thomas P Burris
- Department of Pharmacological and Physiological Science, Saint Louis University School of Medicine, St Louis, MO 63104, USA
| | - Ivan Quesada
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 08033 Barcelona, Spain; Instituto de Bioingeniería, Universidad Miguel Hernández, 03202 Elche, Spain.
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She M, Laudon M, Yin W. Melatonin receptors in diabetes: a potential new therapeutical target? Eur J Pharmacol 2014; 744:220-3. [PMID: 25160745 DOI: 10.1016/j.ejphar.2014.08.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2014] [Revised: 08/08/2014] [Accepted: 08/18/2014] [Indexed: 01/13/2023]
Abstract
Melatonin is synthesized and secreted mainly by the pineal gland in a circadian fashion, and it thus mediates endogenous circadian rhythms and influences other physiological functions. Both the G-protein coupled receptors MT1 (encoded by MTNR1A) and MT2 (encoded by MTNR1B) in mammals mediate the actions of melatonin. Evidence from in vivo and in vitro studies proved a key role of melatonin in the regulation of glucose metabolism and the pathogenesis of diabetes, as further confirmed by the recent studies of human genetic variants of MTNR1B. Remarkably, it was also suggested that genetic variations within MTNR1B disordered β-cells function directly, i.e. insulin secretion. This indicated the functional link between MT2 and T2D risk at the protein level, and it may represent the prevailing pathomechanism for how impaired melatonin signaling causes metabolic disorders and increases the T2D risk. It is speculated that melatonin and its receptors may be a new therapeutic avenue in diabetes.
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Affiliation(s)
- Meihua She
- Institute of Cardiovascular Research, Key Laboratory for Arteriosclerology of Hunan Province, University of South China, Hengyang 421001, China; Department of Biochemistry and Molecular Biology, School of Pharmaceutical and Biological Science, University of South China, Hengyang, China
| | - Moshe Laudon
- Drug Discovery, Neurim Pharmaceuticals Ltd., Tel Aviv, Israel
| | - Weidong Yin
- Institute of Cardiovascular Research, Key Laboratory for Arteriosclerology of Hunan Province, University of South China, Hengyang 421001, China; Department of Biochemistry and Molecular Biology, School of Pharmaceutical and Biological Science, University of South China, Hengyang, China.
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Relationship between melatonin receptor 1B and insulin receptor substrate 1 polymorphisms with gestational diabetes mellitus: a systematic review and meta-analysis. Sci Rep 2014; 4:6113. [PMID: 25146448 PMCID: PMC4141258 DOI: 10.1038/srep06113] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Accepted: 07/16/2014] [Indexed: 02/06/2023] Open
Abstract
Studies have investigated the relationship between genetic variants and risk of gestational diabetes mellitus (GDM). However, the results remain inconclusive. The aim of this study was to investigate the association of rs10830963 and rs1387153 variants in melatonin receptor 1B (MTNR1B) and rs1801278 variant in insulin receptor substrate 1 (IRS1) with GDM susceptibility. Electronic database of PubMed, Medline, Embase, and CNKI (China National Knowledge Infrastructure) were searched for relevant studies between 2005 and 2014. The odds ratio (OR) with its 95% confidence interval (CI) were employed to estimate the association. Total ten case-control studies, including 3428 GDM cases and 4637 healthy controls, met the inclusion criteria. Our results showed a significant association between the three genetic variants and GDM risk, rs10830963 with a P-value less than 0.0001, rs1387153 with a P-value of 0.0002, and rs1801278 with a P-value of 0.001. Furthermore, all the genetic models in these three polymorphisms were associated with increased risks of GDM as well (P< = 0.009). In conclusion, our study found that the genetic polymorphisms rs10830963 and rs1387153 in MTNR1B and rs1801278 in IRS1 were associated with an increased risk of developing GDM. However, further studies with gene-gene and gene-environmental interactions should be considered.
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Ren J, Xiang AH, Trigo E, Takayanagi M, Beale E, Lawrence JM, Hartiala J, Richey JM, Allayee H, Buchanan TA, Watanabe RM. Genetic variation in MTNR1B is associated with gestational diabetes mellitus and contributes only to the absolute level of beta cell compensation in Mexican Americans. Diabetologia 2014; 57:1391-9. [PMID: 24728128 PMCID: PMC4117246 DOI: 10.1007/s00125-014-3239-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2014] [Accepted: 03/25/2014] [Indexed: 01/27/2023]
Abstract
AIMS/HYPOTHESIS MTNR1B is a type 2 diabetes susceptibility locus associated with cross-sectional measures of insulin secretion. We hypothesised that variation in MTNR1B contributes to the absolute level of a diabetes-related trait, temporal rate of change in that trait, or both. METHODS We tested rs10830963 for association with cross-sectional diabetes-related traits in up to 1,383 individuals or with rate of change in the same phenotypes over a 3-5 year follow-up in up to 374 individuals from the family-based BetaGene study of Mexican Americans. RESULTS rs10830963 was associated cross-sectionally with fasting glucose (p = 0.0069), acute insulin response (AIR; p = 0.0013), disposition index (p = 0.00078), glucose effectiveness (p = 0.018) and gestational diabetes mellitus (OR 1.48; p = 0.012), but not with OGTT 30 min Δinsulin (the difference between the 30 min and fasting plasma insulin concentration) or 30 min insulin-based disposition index. rs10830963 was also associated with rate of change in fasting glucose (p = 0.043), OGTT 30 min Δinsulin (p = 0.01) and AIR (p = 0.037). There was no evidence for an association with the rate of change in beta cell compensation for insulin resistance. CONCLUSIONS/INTERPRETATION We conclude that variation in MTNR1B contributes to the absolute level of insulin secretion but not to differences in the temporal rate of change in insulin secretion. The observed association with the rate of change in insulin secretion reflects the natural physiological response to changes in underlying insulin sensitivity and is not a direct effect of the variant.
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Affiliation(s)
- Jie Ren
- Department of Preventive Medicine, Keck School of Medicine of USC, 2250 Alcazar St, Los Angeles, CA, 90089-9073, USA
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Abstract
OBJECTIVE To determine whether genetic variants associated with glucose homeostasis are associated with gestational diabetes (GDM). STUDY DESIGN We genotyped 899 self-identified Caucasian women and 386 self-identified African-American women in the Pregnancy, Infection and Nutrition (PIN) Studies cohorts for 38 single-nucleotide polymorphisms (SNPs) associated with type II diabetes (T2DM) and/or glucose homeostasis in European populations. RESULTS GDM was diagnosed in 56 of 899 (6.2%) Caucasian and 24 of 386 (6.2%) African-American women. Among Caucasian women, GDM was associated with carriage of TCF7L2 rs7901695, MTNR1B rs10830963 and GCKR rs780094 alleles that are associated with T2DM and fasting glucose in nonpregnant populations. Among African-American participants, we found an increased risk among TSPAN8 rs7961581 C allele homozygotes and reduced risk among carriers of the JAZF1 rs864745 T allele. CONCLUSION We found several SNPs that are associated with GDM risk in the PIN cohorts. Maternal genotyping may identify women at risk for impaired gestational glucose tolerance.
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Affiliation(s)
- Alison M. Stuebe
- Deptartment of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina,Department of Maternal and Child Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Alison Wise
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Thutrang Nguyen
- Division of Genetics and Endocrinology, Children's Hospital of Boston, Harvard Medical School, Boston, Massachusetts
| | - Amy Herring
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kari E. North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Anna Maria Siega-Riz
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Department of Nutrition, Gillings School of Global Public Health, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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42
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Li C, Qiao B, Zhan Y, Peng W, Chen ZJ, Sun L, Zhang J, Zhao L, Gao Q. Association between genetic variations in MTNR1A and MTNR1B genes and gestational diabetes mellitus in Han Chinese women. Gynecol Obstet Invest 2013; 76:221-7. [PMID: 24157813 DOI: 10.1159/000355521] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2013] [Accepted: 09/07/2013] [Indexed: 11/19/2022]
Abstract
BACKGROUND/AIMS The purpose of this study was to investigate the association between MTNR1A and MTNR1B gene polymorphisms and gestational diabetes mellitus (GDM) in Han Chinese women. METHODS Study participants included 350 patients with GDM and 480 control subjects. Three single-nucleotide polymorphisms (SNPs; rs2119882 in MTNR1A and rs10830963 and rs10830962 in MTNR1B) were genotyped using direct sequencing. Genotype and allele distributions of SNPs in cases of GDM and controls were analyzed. Association of the MTNR1A and MTNR1B gene variants with plasma glucose and insulin levels as well as blood lipid levels was further investigated. RESULTS The frequencies of genotypes and allele types of rs2119882 in MTNR1A and rs10830963 in MTNR1B were significantly different between women with GDM and controls (p < 0.05). Moreover, in the GDM group, these SNPs were associated with increased fasting plasma glucose concentrations (p < 0.001) and increased homeostasis model assessment of insulin resistance (p < 0.001). The rs10830962 polymorphism in MTNR1B was not associated with an increased risk of developing GDM or any of the clinical or metabolic characteristics in patients with GDM (p > 0.05). CONCLUSION The genetic polymorphisms rs2119882 in MTNR1A and rs10830963 in MTNR1B are associated with an increased risk of developing GDM and insulin resistance in Han Chinese women.
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Affiliation(s)
- Chao Li
- Department of Obstetrics, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, China
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Kim JY, Cheong HS, Park BL, Baik SH, Park S, Kim S, Shin HD, Kim SH. Putative association between UBE2E2 polymorphisms and the risk of gestational diabetes mellitus. Gynecol Endocrinol 2013; 29:904-8. [PMID: 23862583 DOI: 10.3109/09513590.2013.813465] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
We hypothesized that ubiquitin-conjugating enzyme E2 E2 (UBE2E2) may be associated with gestational diabetes mellitus (GDM) and conducted association analyses. A total of 2071 subjects were recruited for the study, with 1104 cases and 967 controls. Two UBE2E2 single-nucleotide polymorphisms rs6780569 and rs7612463, and their haplotypes were analyzed for the study. As a result, rs7612463 showed a significant association with GDM in the recessive model. In addition, the regression analyses for the phenotypes showed that rs6780569. rs7612463 and ht2 showed significant associations with fasting plasma glucose (FPG) in recessive models, while ht1 showed an association in the dominant model. Our results show that the genetic variants of UBE2E2 are associated with GDM and FPG, which could be an important preliminary result for future studies.
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Affiliation(s)
- Jason Y Kim
- Department of Life Science, Sogang University , Mapo-gu, Seoul, Republic of Korea
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44
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Hayes MG, Urbanek M, Hivert MF, Armstrong LL, Morrison J, Guo C, Lowe LP, Scheftner DA, Pluzhnikov A, Levine DM, McHugh CP, Ackerman CM, Bouchard L, Brisson D, Layden BT, Mirel D, Doheny KF, Leya MV, Lown-Hecht RN, Dyer AR, Metzger BE, Reddy TE, Cox NJ, Lowe WL. Identification of HKDC1 and BACE2 as genes influencing glycemic traits during pregnancy through genome-wide association studies. Diabetes 2013; 62:3282-91. [PMID: 23903356 PMCID: PMC3749326 DOI: 10.2337/db12-1692] [Citation(s) in RCA: 106] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Maternal metabolism during pregnancy impacts the developing fetus, affecting offspring birth weight and adiposity. This has important implications for metabolic health later in life (e.g., offspring of mothers with pre-existing or gestational diabetes mellitus have an increased risk of metabolic disorders in childhood). To identify genetic loci associated with measures of maternal metabolism obtained during an oral glucose tolerance test at ∼28 weeks' gestation, we performed a genome-wide association study of 4,437 pregnant mothers of European (n = 1,367), Thai (n = 1,178), Afro-Caribbean (n = 1,075), and Hispanic (n = 817) ancestry, along with replication of top signals in three additional European ancestry cohorts. In addition to identifying associations with genes previously implicated with measures of glucose metabolism in nonpregnant populations, we identified two novel genome-wide significant associations: 2-h plasma glucose and HKDC1, and fasting C-peptide and BACE2. These results suggest that the genetic architecture underlying glucose metabolism may differ, in part, in pregnancy.
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Affiliation(s)
- M Geoffrey Hayes
- Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
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Zhang C, Bao W, Rong Y, Yang H, Bowers K, Yeung E, Kiely M. Genetic variants and the risk of gestational diabetes mellitus: a systematic review. Hum Reprod Update 2013; 19:376-90. [PMID: 23690305 DOI: 10.1093/humupd/dmt013] [Citation(s) in RCA: 182] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Several studies have examined associations between genetic variants and the risk of gestational diabetes mellitus (GDM). However, inferences from these studies were often hindered by limited statistical power and conflicting results. We aimed to systematically review and quantitatively summarize the association of commonly studied single nucleotide polymorphisms (SNPs) with GDM risk and to identify important gaps that remain for consideration in future studies. METHODS Genetic association studies of GDM published through 1 October 2012 were searched using the HuGE Navigator and PubMed databases. A SNP was included if the SNP-GDM associations were assessed in three or more independent studies. Two reviewers independently evaluated the eligibility for inclusion and extracted the data. The allele-specific odds ratios (ORs) and 95% confidence intervals (CIs) were pooled using random effects models accounting for heterogeneity. RESULTS Overall, 29 eligible articles capturing associations of 12 SNPs from 10 genes were included for the systematic review. The minor alleles of rs7903146 (TCF7L2), rs12255372 (TCF7L2), rs1799884 (-30G/A, GCK), rs5219 (E23K, KCNJ11), rs7754840 (CDKAL1), rs4402960 (IGF2BP2), rs10830963 (MTNR1B), rs1387153 (MTNR1B) and rs1801278 (Gly972Arg, IRS1) were significantly associated with a higher risk of GDM. Among them, genetic variants in TCF7L2 showed the strongest association with GDM risk, with ORs (95% CIs) of 1.44 (1.29-1.60, P < 0.001) per T allele of rs7903146 and 1.46 (1.15-1.84, P = 0.002) per T allele of rs12255372. CONCLUSIONS In this systematic review, we found significant associations of GDM risk with nine SNPs in seven genes, most of which have been related to the regulation of insulin secretion.
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Affiliation(s)
- Cuilin Zhang
- Epidemiology Branch, Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 6100 Executive Blvd, Rockville, MD 20852, USA
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Abstract
Circadian clocks maintain periodicity in internal cycles of behavior, physiology, and metabolism, enabling organisms to anticipate the 24-h rotation of the Earth. In mammals, circadian integration of metabolic systems optimizes energy harvesting and utilization across the light/dark cycle. Disruption of clock genes has recently been linked to sleep disorders and to the development of cardiometabolic disease. Conversely, aberrant nutrient signaling affects circadian rhythms of behavior. This chapter reviews the emerging relationship between the molecular clock and metabolic systems and examines evidence that circadian disruption exerts deleterious consequences on human health.
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Affiliation(s)
- Biliana Marcheva
- Department of Medicine, Feinberg School of Medicine, Northwestern University, 303 E. Superior Street, Lurie 7-107, Chicago, IL 60611, USA
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Cho NH, Jang HC. Better understanding and new insight of genetic risk loci for gestational diabetes mellitus. J Diabetes Investig 2012; 3:424-6. [PMID: 24843600 PMCID: PMC4019240 DOI: 10.1111/j.2040-1124.2012.00228.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2012] [Accepted: 06/04/2012] [Indexed: 11/26/2022] Open
Affiliation(s)
- Nam H Cho
- Department of Preventive Medicine Ajou University School of Medicine Suwon Korea
| | - Hak C Jang
- Department of Internal Medicine Seoul National University Bundang Hospital Seongnam Korea
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48
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Mao H, Li Q, Gao S. Meta-analysis of the relationship between common type 2 diabetes risk gene variants with gestational diabetes mellitus. PLoS One 2012; 7:e45882. [PMID: 23029294 PMCID: PMC3454322 DOI: 10.1371/journal.pone.0045882] [Citation(s) in RCA: 94] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2012] [Accepted: 08/22/2012] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND A number of case-control studies were conducted to investigate the association of common type 2 diabetes (T2D) risk gene polymorphisms with gestational diabetes mellitus (GDM). However, these studies have yielded contradictory results. We therefore performed a meta-analysis to derive a more precise estimation of the association between these polymorphisms and GDM, hence achieve a better understanding to the relationship between T2D and GDM. METHODS PubMed, EMBASE, ISI web of science and the Chinese National Knowledge Infrastructure databases were systematically searched to identify relevant studies. Data were abstracted independently by two reviewers. A meta-analysis was performed to examine the association between 9 polymorphisms from 8 genes and susceptibility to GDM. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. Heterogeneity among articles and their publication bias were also tested. RESULTS We identified 22 eligible studies including a total of 10,336 GDM cases and 17,445 controls. We found 8 genetic polymorphisms were significantly associated with GDM in a random-effects meta-analysis. These polymorphisms were in or near the following genes: TCF7L2 (rs7903146), MTNR1B (rs10830963), IGF2BP2 (rs4402960), KCNJ11 (rs5219), CDKAL1 (rs7754840), KCNQ1 (rs2237892 and rs2237895) and GCK (rs4607517); while no association was found for PPARG with GDM risk. Similar results were also observed under dominant genetic model for these polymorphisms. CONCLUSIONS This meta-analysis found 8 genetic variants associated with GDM. The relative contribution and relevance of the identified genes in the pathogenesis of GDM should be the focus of future studies.
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Affiliation(s)
- Hongyan Mao
- Department of Gynecology and Obstetrics, Qidong People's Hospital, Jiangsu, People's Republic of China
| | - Qin Li
- Department of Gynecology and Obstetrics, Qidong People's Hospital, Jiangsu, People's Republic of China
| | - Shujun Gao
- Gynecology and Obstetrics Hospital, Fudan University, Shanghai, People's Republic of China
- * E-mail:
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Liao S, Liu Y, Tan Y, Gan L, Mei J, Song W, Chi S, Dong X, Chen X, Deng S. Association of genetic variants of melatonin receptor 1B with gestational plasma glucose level and risk of glucose intolerance in pregnant Chinese women. PLoS One 2012; 7:e40113. [PMID: 22768333 PMCID: PMC3388040 DOI: 10.1371/journal.pone.0040113] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2012] [Accepted: 06/01/2012] [Indexed: 02/06/2023] Open
Abstract
Background This study aimed to explore the association of MTNR1B genetic variants with gestational plasma glucose homeostasis in pregnant Chinese women. Methods A total of 1,985 pregnant Han Chinese women were recruited and evaluated for gestational glucose tolerance status with a two-step approach. The four MTNR1B variants rs10830963, rs1387153, rs1447352, and rs2166706 which had been reported to associate with glucose levels in general non-pregnant populations, were genotyped in these women. Using an additive model adjusted for age and body mass index (BMI), association of these variants with gestational fasting and postprandial plasma glucose (FPG and PPG) levels were analyzed by multiple linear regression; relative risk of developing gestational glucose intolerance was calculated by logistic regression. Hardy-Weinberg Equilibrium was tested by Chi-square and linkage disequilibrium (LD) between these variants was estimated by measures of D′ and r2. Results In the pregnant Chinese women, the MTNR1B variant rs10830963, rs1387153, rs2166706 and rs1447352 were shown to be associated with the increased 1 hour PPG level (p = 8.04×10−10, 5.49×10−6, 1.89×10−5 and 0.02, respectively). The alleles were also shown to be associated with gestational glucose intolerance with odds ratios (OR) of 1.64 (p = 8.03×10−11), 1.43 (p = 1.94×10−6), 1.38 (p = 1.63×10−5) and 1.24 (p = 0.007), respectively. MTNR1B rs1387153, rs2166706 were shown to be associated with gestational FPG levels (p = 0.04). Our data also suggested that, the LD pattern of these variants in the studied women conformed to that in the general populations: rs1387153 and rs2166706 were in high LD, they linked moderately with rs10830963, but might not linked with rs1447352;rs10830963 might not link with rs1447352, either. In addition, the MTNR1B variants were not found to be associated with any other traits tested. Conclusions The MTNR1B is likely to be involved in the regulation of glucose homeostasis during pregnancy.
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Affiliation(s)
- Shunyao Liao
- Diabetes Center, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, Chengdu, China
- * E-mail: (SL) (SL); (SD) (SD)
| | - Yunqiang Liu
- Department of Medical Genetics and Division of Morbid Genomics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yuande Tan
- College of Life Science, Hunan Normal University, Changsha, Hunan, China
| | - Lu Gan
- Diabetes Center, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, Chengdu, China
| | - Jie Mei
- Department of Obstetrics and Gynecology, Sichuan Academy of Medical Science, Sichuan Provincial People's Hospital, Chengdu, China
| | - Wenzhong Song
- Clinical Isotopic Laboratory, Sichuan Academy of Medical Science, Sichuan Provincial People's Hospital, Chengdu, China
| | - Shu Chi
- Clinical Isotopic Laboratory, Sichuan Academy of Medical Science, Sichuan Provincial People's Hospital, Chengdu, China
| | - Xianjue Dong
- Department of Endocrinology, Chongqing Medical University, Chongqing, China
| | - Xiaojuan Chen
- Department of Surgery, Northwest University Hospital, Chicago, Illinois, United States of America
| | - Shaoping Deng
- Diabetes Center, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, Chengdu, China
- Human Islet Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail: (SL) (SL); (SD) (SD)
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Kwak SH, Kim SH, Cho YM, Go MJ, Cho YS, Choi SH, Moon MK, Jung HS, Shin HD, Kang HM, Cho NH, Lee IK, Kim SY, Han BG, Jang HC, Park KS. A genome-wide association study of gestational diabetes mellitus in Korean women. Diabetes 2012; 61:531-41. [PMID: 22233651 PMCID: PMC3266417 DOI: 10.2337/db11-1034] [Citation(s) in RCA: 183] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Knowledge regarding the genetic risk loci for gestational diabetes mellitus (GDM) is still limited. In this study, we performed a two-stage genome-wide association analysis in Korean women. In the stage 1 genome scan, 468 women with GDM and 1,242 nondiabetic control women were compared using 2.19 million genotyped or imputed markers. We selected 11 loci for further genotyping in stage 2 samples of 931 case and 783 control subjects. The joint effect of stage 1 plus stage 2 studies was analyzed by meta-analysis. We also investigated the effect of known type 2 diabetes variants in GDM. Two loci known to be associated with type 2 diabetes had a genome-wide significant association with GDM in the joint analysis. rs7754840, a variant in CDKAL1, had the strongest association with GDM (odds ratio 1.518; P=6.65×10(-16)). A variant near MTNR1B, rs10830962, was also significantly associated with the risk of GDM (1.454; P=2.49×10(-13)). We found that there is an excess of association between known type 2 diabetes variants and GDM above what is expected under the null hypothesis. In conclusion, we have confirmed that genetic variants in CDKAL1 and near MTNR1B are strongly associated with GDM in Korean women. There seems to be a shared genetic basis between GDM and type 2 diabetes.
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Affiliation(s)
- Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Sung-Hoon Kim
- Department of Medicine, Kwandong University College of Medicine, Seoul, Korea
| | - Young Min Cho
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Min Jin Go
- Center for Genome Science, Korea National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Korea
| | - Yoon Shin Cho
- Center for Genome Science, Korea National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Korea
| | - Sung Hee Choi
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Hye Seung Jung
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | | | - Hyun Min Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Nam H. Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea
| | - In Kyu Lee
- Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea
| | - Seong Yeon Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Bok-Ghee Han
- Center for Genome Science, Korea National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, Korea
| | - Hak C. Jang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Corresponding authors: Hak C. Jang, , and Kyong Soo Park,
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- World Class University Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology and College of Medicine, Seoul National University, Seoul, Korea
- Corresponding authors: Hak C. Jang, , and Kyong Soo Park,
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