1
|
He J, Zhang M, Ren J, Jiang X. Correlation between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus in different geographical regions: a meta-analysis. BMC Pregnancy Childbirth 2024; 24:15. [PMID: 38166877 PMCID: PMC10759658 DOI: 10.1186/s12884-023-06177-1] [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: 09/27/2022] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND The association between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus (GDM) has been explored in diverse populations across different geographical regions. Yet, most of these studies have been confined to a limited number of loci, resulting in inconsistent findings. In this study, we conducted a comprehensive review of published literature to identify studies examining the relationship between TCF7L2 and CAPN10 gene polymorphisms and the incidence of GDM in various populations. We specifically focused on five loci that were extensively reported in a large number of publications and performed a meta-analysis. METHODS We prioritized the selection of SNPs with well-documented correlations established in existing literature on GDM. We searched eight Chinese and English databases: Cochrane, Elton B. Stephens. Company (EBSCO), Embase, Scopus, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and China Science and Technology Journal Database and retrieved all relevant articles published between the inception of the database and July 2022. The Newcastle Ottawa Scale (NOS) was used to evaluate the selected articles, and the odds ratio (OR) was used as the combined effect size index to determine the association between genotypes, alleles, and GDM using different genetic models. Heterogeneity between the studies was quantified and the I2 value calculated. Due to large heterogeneities between different ethnic groups, subgroup analysis was used to explore the correlation between genetic polymorphisms and the incidence of GDM in the different populations. The stability of the results was assessed using sensitivity analysis. Begg's and Egger's tests were used to assess publication bias. RESULTS A total of 39 articles reporting data on 8,795 cases and 16,290 controls were included in the analysis. The frequency of the rs7901695 genotype was statistically significant between cases and controls in the European population (OR = 0.72, 95% CI: 0.65-0.86) and the American population (OR = 0.61, 95% CI: 0.48-0.77). The frequencies of rs12255372, rs7901695, rs290487, and rs2975760 alleles were also considerably different between the cases and controls in the populations analyzed. CONCLUSIONS rs7903146, rs12255372, rs7901695, rs290487, and rs2975760 were associated with the incidence of GDM in different populations.
Collapse
Affiliation(s)
- Jingjing He
- Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Meng Zhang
- Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Jianhua Ren
- Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
- West China School of Nursing, Sichuan University, Chengdu, China.
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
| | - Xiaolian Jiang
- Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
- West China School of Nursing, Sichuan University, Chengdu, China.
| |
Collapse
|
2
|
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.
Collapse
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.
| |
Collapse
|
3
|
Basu J, Mukherjee R, Sahu P, Datta C, Chowdhury S, Mandal D, Ghosh A. Association of common variants of TCF7L2 and PCSK2 with gestational diabetes mellitus in West Bengal, India. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2023; 43:185-202. [PMID: 37610142 DOI: 10.1080/15257770.2023.2248201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/24/2023]
Abstract
The genetic etiology of gestational diabetes mellitus (GDM) was suggested to overlap with type-2 diabetes(T2D). Transcription factor 7-like 2 (TCF7L2) and Proprotein Convertase Subtilisin/Kexin type 2 (PCSK2) are T2D susceptibility genes of the insulin synthesis/processing pathway. We analyzed associations of TCF7L2 and PCSK2 variants with GDM risk and evaluated their potential impact on impaired insulin processing in an eastern Indian population. The study included 114 GDM (case) and 228 non-GDM pregnant women (control). rs7903146, rs4132670, rs12255372 of TCF7L2, and rs2269023 of PCSK2 were genotyped by PCR-RFLP, and genotype distributions were compared between case and control. Fasting serum proinsulin and C-peptide levels were measured by ELISA and the Proinsulin/C-peptide ratio was considered an indicator of proinsulin conversion. Significantly higher frequency of risk allele (T) of rs12255372 (p = 0.02, OR = 2.0, 95%CI = 1.11-3.64) and rs4132670 (p = 0.002, OR = 2.26, 95%CI = 1.32-3.87) of TCF7L2 was found in GDM cases than non-GDM controls; TT genotype was associated with significantly increased disease risk. In rs7903146 (TCF7L2) and rs2269023 (PCSK2), although the frequency of risk allele (T) was not significantly higher in cases than controls, an association of TT for both variants remained significant with higher GDM risk in the recessive model. Increased serum pro-insulin and proinsulin:c-peptide ratio was found in GDM than non-GDM women and the phenomenon showed significant association with careers of risk alleles for TCF7L2 variants. In conclusion, TCF7L2 and PCSK2 variants are related to GDM risk in the studied population and hence may serve as potential biomarkers for assessing the disease risk. TCF7L2 variants contribute to impaired insulin processing.
Collapse
Affiliation(s)
- Jayita Basu
- Department of Life Sciences, Presidency University, Kolkata, India
| | | | - Pooja Sahu
- Department of Gynecology and Obstetrics, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Chhanda Datta
- Department of Pathology, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Subhankar Chowdhury
- Department of Endocrinology, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Debasmita Mandal
- Department of Gynecology and Obstetrics, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Amlan Ghosh
- Department of Life Sciences, Presidency University, Kolkata, India
| |
Collapse
|
4
|
Song Y, Wade H, Zhang B, Xu W, Wu R, Li S, Su Q. Polymorphisms of Fat Mass and Obesity-Associated Gene in the Pathogenesis of Child and Adolescent Metabolic Syndrome. Nutrients 2023; 15:2643. [PMID: 37375547 DOI: 10.3390/nu15122643] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/01/2023] [Accepted: 06/04/2023] [Indexed: 06/29/2023] Open
Abstract
Childhood metabolic syndrome (MetS) is prevalent around the world and is associated with a high likelihood of suffering from severe diseases such as cardiovascular disease later in adulthood. MetS is associated with genetic susceptibility that involves gene polymorphisms. The fat mass and obesity-associated gene (FTO) encodes an RNA N6-methyladenosine demethylase that regulates RNA stability and molecular functions. Human FTO contains genetic variants that significantly contribute to the early onset of MetS in children and adolescents. Emerging evidence has also uncovered that FTO polymorphisms in intron 1, such as rs9939609 and rs9930506 polymorphisms, are significantly associated with the development of MetS in children and adolescents. Mechanistic studies reported that FTO polymorphisms lead to aberrant expressions of FTO and the adjacent genes that promote adipogenesis and appetite and reduce steatolysis, satiety, and energy expenditure in the carriers. The present review highlights the recent observations on the key FTO polymorphisms that are associated with child and adolescent MetS with an exploration of the molecular mechanisms underlying the development of increased waist circumference, hypertension, and hyperlipidemia in child and adolescent MetS.
Collapse
Affiliation(s)
- Yongyan Song
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu 610106, China
| | - Henry Wade
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, UK
| | - Bingrui Zhang
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, UK
| | - Wenhao Xu
- Clinical Medical College, Chengdu University, Chengdu 610106, China
| | - Rongxue Wu
- Section of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, IL 60637, USA
| | - Shujin Li
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu 610106, China
| | - Qiaozhu Su
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, UK
| |
Collapse
|
5
|
Ortega-Contreras B, Armella A, Appel J, Mennickent D, Araya J, González M, Castro E, Obregón AM, Lamperti L, Gutiérrez J, Guzmán-Gutiérrez E. Pathophysiological Role of Genetic Factors Associated With Gestational Diabetes Mellitus. Front Physiol 2022; 13:769924. [PMID: 35450164 PMCID: PMC9016477 DOI: 10.3389/fphys.2022.769924] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 03/15/2022] [Indexed: 11/13/2022] Open
Abstract
Gestational Diabetes Mellitus (GDM) is a highly prevalent maternal pathology characterized by maternal glucose intolerance during pregnancy that is, associated with severe complications for both mother and offspring. Several risk factors have been related to GDM; one of the most important among them is genetic predisposition. Numerous single nucleotide polymorphisms (SNPs) in genes that act at different levels on various tissues, could cause changes in the expression levels and activity of proteins, which result in glucose and insulin metabolism dysfunction. In this review, we describe various SNPs; which according to literature, increase the risk of developing GDM. These SNPs include: (1) those associated with transcription factors that regulate insulin production and excretion, such as rs7903146 (TCF7L2) and rs5015480 (HHEX); (2) others that cause a decrease in protective hormones against insulin resistance such as rs2241766 (ADIPOQ) and rs6257 (SHBG); (3) SNPs that cause modifications in membrane proteins, generating dysfunction in insulin signaling or cell transport in the case of rs5443 (GNB3) and rs2237892 (KCNQ1); (4) those associated with enzymes such as rs225014 (DIO2) and rs9939609 (FTO) which cause an impaired metabolism, resulting in an insulin resistance state; and (5) other polymorphisms, those are associated with growth factors such as rs2146323 (VEGFA) and rs755622 (MIF) which could cause changes in the expression levels of these proteins, producing endothelial dysfunction and an increase of pro-inflammatory cytokines, characteristic on GDM. While the pathophysiological mechanism is unclear, this review describes various potential effects of these polymorphisms on the predisposition to develop GDM.
Collapse
Affiliation(s)
- B. Ortega-Contreras
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - A. Armella
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - J. Appel
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - D. Mennickent
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
- Department of Instrumental Analysis, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - J. Araya
- Department of Instrumental Analysis, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - M. González
- Department of Obstetrics and Gynecology, Faculty of Medicine, Universidad de Concepción, Concepción, Chile
| | - E. Castro
- Departamento de Obstetricia y Puericultura, Facultad de Ciencias de la Salud, Universidad de Atacama, Copiapó, Chile
| | - A. M. Obregón
- Faculty of Health Care, Universidad San Sebastián, Concepción, Chile
| | - L. Lamperti
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
| | - J. Gutiérrez
- Faculty of Health Sciences, Universidad San Sebastián, Santiago,Chile
| | - E. Guzmán-Gutiérrez
- Pregnancy Diseases Laboratory, Department of Clinical Biochemistry and Immunology, Faculty of Pharmacy, Universidad de Concepción, Concepción, Chile
- *Correspondence: E. Guzmán-Gutiérrez,
| |
Collapse
|
6
|
Shalabi TA, Amr KS, Shaker MM. Are single nucleotide polymorphisms rs7903146 and rs12255372 in transcription factor 7-like 2 gene associated with an increased risk for gestational diabetes mellitus in Egyptian women? J Genet Eng Biotechnol 2021; 19:169. [PMID: 34724590 PMCID: PMC8560867 DOI: 10.1186/s43141-021-00272-6] [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: 07/01/2021] [Accepted: 10/19/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND Genetic variants in the transcription factor 7-like 2 (TCF7L2) gene are related with type 2 diabetes (T2D) and gestational diabetes mellitus (GDM) in various populations, but there are not enough statistics regarding GDM among Egyptian women. We aimed by this study to evaluate the effect of two polymorphisms of rs7903146 and rs12255372 in the TCF7L2 gene with the development of GDM among Egyptian women. RESULTS We enrolled 114 pregnant women with normal glucose tolerance and 114 with GDM according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) guidelines. We gathered records on blood pressure, body mass index (BMI), blood glucose level, hemoglobin A1C (HbA1c), and lipid profile. The genotyping of rs7903146 and rs12255372 polymorphisms was carried out using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The statistical significance of prepregnancy BMI, fasting blood sugar (FBS), HbA1c, low-density lipoprotein (LDL), and total cholesterol (Tch) was higher, P < 0.001, in GDM women in comparison to pregnant women without GDM. CT and TT genotypes in rs7903146 SNP were 46.5% vs. 54%, P <0.04, OR; CI = 1.9 (1.0 to 3.78); TT carriers were 37.7% vs. 9.6%, P <0.001, OR (CI) = 8.9 (3.7-21.1), respectively. For the TCFL2 gene rs12255372 SNP, GT carriers were 48.2% vs. 39.5%, P= 0.004, OR (CI) = 2.3 (1.3-4.2), while TT carriers were 24.6% vs. 7.9%, P < 0.001, OR (CI) = 6 (2.5-14.3). CONCLUSION The study showed there is a significantly higher incidence of CT/TT genotypes in rs7903146 SNP and GT/TT genotypes in rs12255372 SNP in TCF7L2 gene among GDM women in comparison to healthy pregnant women (controls).
Collapse
Affiliation(s)
- Taghreed A Shalabi
- Prenatal Diagnosis and Fetal Medicine Department, Human Genetics and Genome Research Institute, National Research Centre, Cairo, Egypt
| | - Khalda S Amr
- Medical Molecular Genetics Department, Human Genetics and Genome Research Institute, National Research Centre, Cairo, Egypt
| | - Mai M Shaker
- Prenatal Diagnosis and Fetal Medicine Department, Human Genetics and Genome Research Institute, National Research Centre, Cairo, Egypt.
| |
Collapse
|
7
|
Barabash A, Valerio JD, Garcia de la Torre N, Jimenez I, del Valle L, Melero V, Assaf-Balut C, Fuentes M, Bordiu E, Durán A, Herraiz MA, Izquierdo N, Torrejón MJ, de Miguel P, Runkle I, Rubio MA, Calle-Pascual AL. TCF7L2 rs7903146 polymorphism modulates the association between adherence to a Mediterranean diet and the risk of gestational diabetes mellitus. Metabol Open 2020; 8:100069. [PMID: 33305252 PMCID: PMC7718167 DOI: 10.1016/j.metop.2020.100069] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 11/22/2020] [Accepted: 11/23/2020] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE There is sparse evidence for the impact of gene-diet interaction on gestational diabetes mellitus (GDM) onset. Recent findings have shown that late first-trimester high adherence to a Mediterranean diet (MedDiet) pattern is associated with a GDM risk reduction. The aim of this study was to investigate if this effect could be modulated by TCF7L2 rs7903146 polymorphism.Research design and methods: A total of 874 pregnant women participants in the St Carlos GDM prevention study, were stratified into three groups defined as "High,5-6 on targets", "Moderate, 2-4 on targets" or "Low, 0-1 on targets" adherence to Mediterranean diet according to late first-trimester compliance with six food targets: >12 servings/week of vegetables, >12 pieces/week of fruits, <2 servings/week of juice, >3 servings/week of nuts, >6 days/week and >40 mL/day consumption of extra virgin olive oil. All patients were genotyped for rs7903146 using Taqman technology. RESULTS Logistic regression analysis revealed that the risk of developing GDM in those with high adherence versus low adherence was significantly reduced only in carriers of the T-allele (CT + TT), with an adjusted odds ratio of 0.15 (95% CI:0.05-0.48). This effect was not observed in CC carriers. Interaction analysis yielded significant rs7903146-MedDiet interaction in GDM risk (p < 0.03). CONCLUSIONS Women carrying the rs7903146 T-allele who highly adhere to a MedDiet early in pregnancy have lower risk of developing GDM than CC carriers. This reinforces the importance of identifying patients at risk of GDM who would be especially sensitive to nutritional interventions based on their genetic characteristics.
Collapse
Affiliation(s)
- Ana Barabash
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Johanna D. Valerio
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Nuria Garcia de la Torre
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Inés Jimenez
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Laura del Valle
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Verónica Melero
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Carla Assaf-Balut
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Manuel Fuentes
- Preventive Medicine Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del University Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Elena Bordiu
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina 2 Department, Facultad de Medicina, Universidad Complutense de Madrid, Spain
| | - Alejandra Durán
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina 2 Department, Facultad de Medicina, Universidad Complutense de Madrid, Spain
| | - Miguel A. Herraiz
- Gynecology and Obstetrics Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Nuria Izquierdo
- Gynecology and Obstetrics Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - María J. Torrejón
- Clinical Laboratory Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Paz de Miguel
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina 2 Department, Facultad de Medicina, Universidad Complutense de Madrid, Spain
| | - Isabelle Runkle
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina 2 Department, Facultad de Medicina, Universidad Complutense de Madrid, Spain
| | - Miguel A. Rubio
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicina 2 Department, Facultad de Medicina, Universidad Complutense de Madrid, Spain
| | - Alfonso L. Calle-Pascual
- Endocrinology and Nutrition Department. Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Medicina 2 Department, Facultad de Medicina, Universidad Complutense de Madrid, Spain
| |
Collapse
|
8
|
Lamri A, Mao S, Desai D, Gupta M, Paré G, Anand SS. Fine-tuning of Genome-Wide Polygenic Risk Scores and Prediction of Gestational Diabetes in South Asian Women. Sci Rep 2020; 10:8941. [PMID: 32488059 PMCID: PMC7265287 DOI: 10.1038/s41598-020-65360-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 04/23/2020] [Indexed: 12/11/2022] Open
Abstract
Gestational diabetes Mellitus (GDM) affects 1 in 7 births and is associated with numerous adverse health outcomes for both mother and child. GDM is suspected to share a large common genetic background with type 2 diabetes (T2D). The aim of our study was to characterize different GDM polygenic risk scores (PRSs) and test their association with GDM using data from the South Asian Birth Cohort (START). PRSs were derived for 832 South Asian women from START using the pruning and thresholding (P + T), LDpred, and GraBLD methods. Weights were derived from a multi-ethnic and a white Caucasian study of the DIAGRAM consortium. GDM status was defined using South Asian-specific glucose values in response to an oral glucose tolerance test. Association with GDM was tested using logistic regression. Results were replicated in South Asian women from the UK Biobank (UKB) study. The top ranking P + T, LDpred and GraBLD PRSs were all based on DIAGRAM's multi-ethnic study. The best PRS was highly associated with GDM in START (AUC = 0.62, OR = 1.60 [95% CI = 1.44-1.69]), and in South Asian women from UKB (AUC = 0.65, OR = 1.69 [95% CI = 1.28-2.24]). Our results highlight the importance of combining genome-wide genotypes and summary statistics from large multi-ethnic studies to optimize PRSs in South Asians.
Collapse
Affiliation(s)
- Amel Lamri
- Department of Medicine, McMaster University Hamilton, Ontario, Canada
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada
| | - Shihong Mao
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada
| | - Dipika Desai
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada
| | - Milan Gupta
- Department of Medicine, McMaster University Hamilton, Ontario, Canada
- Canadian Collaborative Research Network (CCRN), Brampton, ON, Canada
| | - Guillaume Paré
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Sonia S Anand
- Department of Medicine, McMaster University Hamilton, Ontario, Canada.
- Population Health Research Institute (PHRI), Hamilton, Ontario, Canada.
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
| |
Collapse
|
9
|
Lack of association between TCF7L2 gene variants and type 2 diabetes mellitus in a Brazilian sample of patients with the risk for cardiovascular disease. Endocr Regul 2020; 53:1-7. [PMID: 31517619 DOI: 10.2478/enr-2019-0001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Genetic variants in the transcription factor 7-like 2 (TCF7L2) gene have been described as the most noteworthy ones regarding the type 2 diabetes mellitus (T2DM) liability. This work is aimed to evaluate the association between rs12255372 and rs7903146 polymorphisms and T2DM in patients with cardiovascular disease (CAD) risk. METHODS A sample of six hundred and forty-seven patients that underwent the coronary angiography in a Cardiac Catheterization Lab was evaluated. The patients were investigated for the presence of T2DM and coronary stenosis. The TCF7L2 polymorphisms were genotyped by real-time PCR and the haplotype analysis was performed with the MLOCUS software. All genetic tests were carried out by considering the haplotype combinations in patients divided into three groups: 0 - carrying none disease risk allele, 1 - carrying one or two risk alleles and 2 - carrying three or four risk alleles. RESULTS No significant associations between TCF7L2 risk haplotypes and the presence of T2DM or CAD were detected. CONCLUSIONS Our results indicate that the TCF7L2 rs12255372 and rs7903146 polymorphisms do not influence T2DM in Brazilian patients with the high risk for CAD. Therefore, we assume that these variants may only be relevant for a specific subgroup of T2DM patients or some particular human population.
Collapse
|
10
|
Geoghegan G, Simcox J, Seldin MM, Parnell TJ, Stubben C, Just S, Begaye L, Lusis AJ, Villanueva CJ. Targeted deletion of Tcf7l2 in adipocytes promotes adipocyte hypertrophy and impaired glucose metabolism. Mol Metab 2019; 24:44-63. [PMID: 30948248 PMCID: PMC6531814 DOI: 10.1016/j.molmet.2019.03.003] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 03/02/2019] [Accepted: 03/09/2019] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Activation of the Wnt-signaling pathway is known to inhibit differentiation in adipocytes. However, there is a gap in our understanding of the transcriptional network regulated by components of the Wnt-signaling pathway during adipogenesis and in adipocytes during postnatal life. The key intracellular effectors of the Wnt-signaling pathway occur through TCF transcription factors such as TCF7L2 (transcription factor-7-like 2). Several genetic variants in proximity to TCF7L2 have been linked to type 2 diabetes through genome-wide association studies in various human populations. Our work aims to functionally characterize the adipocyte specific gene program regulated by TCF7L2 and understand how this program regulates metabolism. METHODS We generated Tcf7l2F/F mice and assessed TCF7L2 function in isolated adipocytes and adipose specific knockout mice. ChIP-sequencing and RNA-sequencing was performed on the isolated adipocytes with control and TCF7L2 knockout cells. Adipose specific TCF7L2 knockout mice were challenged with high fat diet and assessed for body weight, glucose tolerance, and lipolysis. RESULTS Here we report that TCF7L2 regulates adipocyte size, endocrine function, and glucose metabolism. Tcf7l2 is highly expressed in white adipose tissue, and its expression is suppressed in genetic and diet-induced models of obesity. Genome-wide distribution of TCF7L2 binding and gene expression analysis in adipocytes suggests that TCF7L2 directly regulates genes implicated in cellular metabolism and cell cycle control. When challenged with a high-fat diet, conditional deletion of TCF7L2 in adipocytes led to impaired glucose tolerance, impaired insulin sensitivity, promoted weight gain, and increased adipose tissue mass. This was accompanied by reduced expression of triglyceride hydrolase, reduced fasting-induced free fatty acid release, and adipocyte hypertrophy in subcutaneous adipose tissue. CONCLUSIONS Together our studies support that TCF7L2 is a central transcriptional regulator of the adipocyte metabolic program by directly regulating the expression of genes involved in lipid and glucose metabolism.
Collapse
Affiliation(s)
- Gisela Geoghegan
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Judith Simcox
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Marcus M Seldin
- Department of Human Genetics/Medicine, University of California, Los Angeles, CA, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, USA
| | - Timothy J Parnell
- Bioinformatics Shared Resources, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Chris Stubben
- Bioinformatics Shared Resources, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Steven Just
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Lori Begaye
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Aldons J Lusis
- Department of Human Genetics/Medicine, University of California, Los Angeles, CA, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA, USA
| | - Claudio J Villanueva
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.
| |
Collapse
|
11
|
Tarnowski M, Bujak J, Kopytko P, Majcher S, Ustianowski P, Dziedziejko V, Safranow K, Pawlik A. Effect of FTO and IGF2BP2 gene polymorphisms on duration of pregnancy and Apgar scores in women with gestational diabetes. J OBSTET GYNAECOL 2018; 39:151-156. [DOI: 10.1080/01443615.2018.1502263] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Maciej Tarnowski
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Joanna Bujak
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Patrycja Kopytko
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Sandra Majcher
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Przemysław Ustianowski
- Department of Perinatology, Obstetrics and Gynecology, Pomeranian Medical University, Police, Poland
| | - Violetta Dziedziejko
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
| | - Krzysztof Safranow
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
| | - Andrzej Pawlik
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| |
Collapse
|
12
|
Lin Z, Wang Y, Zhang B, Jin Z. Association of type 2 diabetes susceptible genes GCKR, SLC30A8, and FTO polymorphisms with gestational diabetes mellitus risk: a meta-analysis. Endocrine 2018; 62:34-45. [PMID: 30091126 DOI: 10.1007/s12020-018-1651-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 06/08/2018] [Indexed: 12/23/2022]
Abstract
PURPOSE Current studies have detected the correlation of polymorphisms in type 2 diabetes susceptible genes GCKR, SLC30A8 and FTO with gestational diabetes mellitus (GDM) risk. However, findings of these studies were incongruous. Hence, we performed an integrated review and meta-analysis for the researches regarding the association of single nucleotide polymorphisms (SNPs) in GCKR, SLC30A8 and FTO genes and GDM risk. METHODS Eligible publications were selected on the basis of several inclusion and exclusion criteria. Correlation between each SNP and GDM risk was estimated by computing odds ratios (ORs) with 95% confidence intervals (95%CIs). RESULTS Consequently, 19 case-control studies (from 16 citations) including 3636 GDM cases and 7229 GDM-free controls were participated in a meta-analysis of seven prevalent SNPs (GCKR rs1260326 and rs780094; SLC30A8 rs13266634 and rs11558471; FTO rs8050136, rs1421085 and rs9939609). Our results demonstrated that the rs780094, rs13266634 and rs9939609 SNPs were significantly associated with GDM risk. In stratified analysis, correlations of rs780094 and rs13266634 SNPs could be observed in Asian and Caucasian subgroups. Moreover, association between rs9939609 SNP and GDM risk was detected in Caucasian subgroup. CONCLUSIONS The GCKR rs780094, SLC30A8 rs13266634 and FTO rs9939609 SNPs were demonstrated to be the potential biomarkers for GDM risk prediction.
Collapse
Affiliation(s)
- Ziqi Lin
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning, China
| | - Yue Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning, China
| | - Bao Zhang
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning, China
| | - Zhen Jin
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning, China.
| |
Collapse
|
13
|
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.
Collapse
|
14
|
FTO, GCKR, CDKAL1 and CDKN2A/B gene polymorphisms and the risk of gestational diabetes mellitus: a meta-analysis. Arch Gynecol Obstet 2018; 298:705-715. [PMID: 30074065 DOI: 10.1007/s00404-018-4857-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 07/28/2018] [Indexed: 01/11/2023]
Abstract
PURPOSE Studies had examined the associations between genetic polymorphisms and the risk of gestational diabetes mellitus (GDM). However, conclusions of these studies were controversial due to the smaller sample size and limited statistical power. We carried out a meta-analysis with the aim of providing a more comprehensive summary of the currently available research to evaluate the relationship between FTO, GCKR, CDKAL1 and CDKN2A/B gene polymorphisms and GDM risk. METHODS Literature search was carried out in the PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure and Wangfang databases up to November 2017. Data were extracted by two independent reviewers and statistical analyses were performed with STATA software. Pooled odds ratios and 95% confidence intervals were calculated by Z test to assess the association between genetic polymorphisms and GDM risk. Stratified analysis was performed based on ethnicity. Heterogeneity and publication bias between studies were evaluated by Cochran's Q test and Egger regression test, respectively. RESULTS 14 eligible studies were included. CDKAL1 rs7754840 and rs7756992 showed significant correlation with GDM risk under the allele, recessive, dominant, homozygote and heterozygote models. GCKR rs780094 and CDKN2A/B rs10811661 also showed the same association under the allele, recessive and heterozygote models. No associations between FTO rs9939609 and rs8050136, GCKR rs1260326 and GDM risk were found. CONCLUSIONS Our meta-analysis showed that two SNPs in particular(rs7754840 and rs7756992 in CDKAL1) were very strongly associated with GDM risk. GCKR rs780094 and CDKN2A/B rs10811661 polymorphisms were moderately associated with GDM risk.
Collapse
|
15
|
He H, Cao WT, Zeng YH, Huang ZQ, Du WR, Guan ND, Zhao YZ, Wei BR, Liu YH, Jing CX, Zeng FF. Lack of associations between the FTO polymorphisms and gestational diabetes: A meta-analysis and trial sequential analysis. Gene 2018; 677:169-175. [PMID: 30055308 DOI: 10.1016/j.gene.2018.07.064] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 07/24/2018] [Accepted: 07/25/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND Molecular epidemiological studies have sought associations between Fat mass and obesity associated (FTO) gene polymorphisms and gestational diabetes mellitus (GDM) risk, but findings are inconsistent. Hence, we performed a meta-analysis to clarify this problem. METHODS Case-control studies reporting the relationship of three FTO polymorphisms (rs9939609, rs8050136, and rs1421085) and GDM published before June 2018 were searched in 6 electronic databases such as PubMed and Embase. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of associations. Trial sequential analysis (TSA) was performed to evaluate the type 1 and type 2 errors. RESULTS A total of 5 studies involving 703 GDM cases and 2700 controls for rs9939609, 3 studies involving 1144 GDM cases and 909 controls for rs8050136, and 2 studies involving 207 GDM cases and 205 controls for rs1421085, were included in the meta-analysis. No association was observed between the three polymorphisms with the GDM risk under all genetic models. For example, the ORs and its 95% CIs under dominant genetic model were 0.88 (0.59, 1.33) for rs9939609, 1.11 (0.91, 1.35) for rs8050136, and 0.91 (0.58, 1.41) for rs1421085, respectively. Under TSA, there are insufficient levels of evidence for all of these three polymorphisms. CONCLUSION The present meta-analysis provides statistical evidence indicating a lack of association between FTO polymorphismsand GDM risk. More studies with larger sample size are needed to confirm these null associations.
Collapse
Affiliation(s)
- Hong He
- Health Care and Physical Examination Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Wen-Ting Cao
- Department of Medical Statistics & Epidemiology, School of Public Health,Hainan Medical University, Haikou 571199, China
| | - Yu-Hui Zeng
- Department of Obstetrics and Gynecology, Shangrao Fifth People's Hospital, Shangrao, Jiangxi 334000, China
| | - Zi-Qing Huang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Wan-Rong Du
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Ni-di Guan
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Yu-Zhe Zhao
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Bo-Rui Wei
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Yan-Hua Liu
- Department of Nutrition, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Chun-Xia Jing
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Fang-Fang Zeng
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China..
| |
Collapse
|
16
|
Mandour I, Darwish R, Fayez R, Naguib M, El-Sayegh S. TCF7L2 Gene Polymorphisms and Susceptibility to Type 2 Diabetes Mellitus, A Pilot Study. ACTA ACUST UNITED AC 2018. [DOI: 10.13005/bpj/1465] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Transcription factor 7-like 2 (TCF7L2) variants are known risk factors of type 2 diabetes (T2DM).However, this association is not consistent among different populations. The current study aimed at investigating the relationship between rs 7903146, rs 12255372 variants of TCF7L2 and susceptibility to T2DM and different metabolic parameters in a cohort of Egyptian type 2 diabetic patients. This case control study included 60 diabetic patients and 60 matched unrelated healthy controls. Genotyping was performed by using Real Time-PCR. The frequency of genotypes, alleles, anthropometric measures, glycemic indices, HOMA-IR and lipid profile were evaluated in patients and control. Regarding rs 7903146, TT genotype was more frequent in healthy controls (43.3%) than diabetic patients (20%) (OR = 0.291, 95% CI = 0.108-0.788, P = 0.015). T allele was more frequent in healthy control (61.7%) than diabetic patients (44.2%) and it was associated with lower risk of diabetes (OR = 0.492, 95% CI = 0.294-0.823, P = 0.007).However, there was no significant difference between patients with CC, CT and TT genotypes of rs7903146 regarding HbA1C (p=0.549), HOMA-IR (p=0.359), total cholesterol (p=0.482). In contrast, T allele of rs12255372 had no significant relation to diabetes risk (OR = 0.602, 95% CI = 0.361-1.005, P = 0.052). There was no statistically significant difference of frequency of any rs12255372 genotypes between cases and controls In addition, patients with GG,GT, TT genotypes of rs12255372 had no significant difference regarding HbA1C (p=0.393), HOMA-IR (p=0.985), total cholesterol (p=0.368). The study confirmed the association of TCF7L2 (rs 7903146) and T2DM, while failed to detect any association between TCF7L2 (rs 12255372) and susceptibility to T2DM. No significant difference in respect to metabolic parameters between different genotypes of rs7930146 and rs12255372.
Collapse
Affiliation(s)
- Iman Mandour
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
| | - Rania Darwish
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
| | - Randa Fayez
- Department of Internal Medicine, Kasr Al-Ainy, Cairo University, Egypt
| | - Mervat Naguib
- Department of Internal Medicine, Kasr Al-Ainy, Cairo University, Egypt
| | - Sarah El-Sayegh
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
| |
Collapse
|
17
|
Avilés-Santa ML, Colón-Ramos U, Lindberg NM, Mattei J, Pasquel FJ, Pérez CM. From Sea to Shining Sea and the Great Plains to Patagonia: A Review on Current Knowledge of Diabetes Mellitus in Hispanics/Latinos in the US and Latin America. Front Endocrinol (Lausanne) 2017; 8:298. [PMID: 29176960 PMCID: PMC5687125 DOI: 10.3389/fendo.2017.00298] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 10/16/2017] [Indexed: 12/13/2022] Open
Abstract
The past two decades have witnessed many advances in the prevention, treatment, and control of diabetes mellitus (DM) and its complications. Increased screening has led to a greater recognition of type 2 diabetes mellitus (type 2 DM) and prediabetes; however, Hispanics/Latinos, the largest minority group in the US, have not fully benefited from these advances. The Hispanic/Latino population is highly diverse in ancestries, birth places, cultures, languages, and socioeconomic backgrounds, and it populates most of the Western Hemisphere. In the US, the prevalence of DM varies among Hispanic/Latino heritage groups, being higher among Mexicans, Puerto Ricans, and Dominicans, and lower among South Americans. The risk and prevalence of diabetes among Hispanics/Latinos are significantly higher than in non-Hispanic Whites, and nearly 40% of Hispanics/Latinos with diabetes have not been formally diagnosed. Despite these striking facts, the representation of Hispanics/Latinos in pharmacological and non-pharmacological clinical trials has been suboptimal, while the prevalence of diabetes in these populations continues to rise. This review will focus on the epidemiology, etiology and prevention of type 2 DM in populations of Latin American origin. We will set the stage by defining the terms Hispanic, Latino, and Latin American, explaining the challenges identifying Hispanics/Latinos in the scientific literature and databases, describing the epidemiology of diabetes-including type 2 DM and gestational diabetes mellitus (GDM)-and cardiovascular risk factors in Hispanics/Latinos in the US and Latin America, and discussing trends, and commonalities and differences across studies and populations, including methodology to ascertain diabetes. We will discuss studies on mechanisms of disease, and research on prevention of type 2 DM in Hispanics/Latinos, including women with GDM, youth and adults; and finalize with a discussion on lessons learned and opportunities to enhance research, and, consequently, clinical care oriented toward preventing type 2 DM in Hispanics/Latinos in the US and Latin America.
Collapse
Affiliation(s)
- M. Larissa Avilés-Santa
- National Heart, Lung, and Blood Institute at the National Institutes of Health, Bethesda, MD, United States
| | - Uriyoán Colón-Ramos
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States
| | - Nangel M. Lindberg
- Kaiser Permanente Center for Health Research, Portland, OR, United States
| | - Josiemer Mattei
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States
| | - Francisco J. Pasquel
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States
| | - Cynthia M. Pérez
- University of Puerto Rico Graduate School of Public Health, San Juan, Puerto Rico
| |
Collapse
|
18
|
Hou Z, Li M, Cao Y. TCF7L2, CAPN10 polymorphisms are associated with gestational diabetes mellitus (GDM) risks: a meta-analysis. Gynecol Endocrinol 2017; 33:399-404. [PMID: 28277135 DOI: 10.1080/09513590.2017.1290066] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Several polymorphisms have been identified in transcription factor 7-like 2 (TCF7L2), and calpain-10 (CAPN10) genes. Controversial conclusions for the genetic relationship between these polymorphisms and gestational diabetes mellitus (GDM) risks were obtained. Our study aims at assessing whether these polymorphisms are associated with GDM susceptibility via a meta-analysis. A total of 19 eligible case-control articles were obtained after databases searching. A significantly increased GDM risk was observed for TCF7L2 rs7903146 (all OR > 1, p < 0.01), but not rs12255372. In addition, significant difference was observed in case/control comparison for 112/112 (GG/2R2R/TT) haplotype combination frequency of CAPN10 SNP-43/19/63 (OR = 3.32, p = 0.043). In summary, TCF7L2 rs7903146 and 112/112 haplotype of CAPN10 might be associated with GDM risks.
Collapse
Affiliation(s)
- Zhi Hou
- a Department of obstetrics three and
| | - Ming Li
- b Department of obstetrics one , Cangzhou Central Hospital , Cangzhou , Hebei , PR China
| | | |
Collapse
|
19
|
Chang S, Wang Z, Wu L, Lu X, Shangguan S, Xin Y, Li L, Wang L. Association between TCF7L2 polymorphisms and gestational diabetes mellitus: A meta-analysis. J Diabetes Investig 2017; 8:560-570. [PMID: 28002648 PMCID: PMC5497039 DOI: 10.1111/jdi.12612] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Revised: 12/08/2016] [Accepted: 12/15/2016] [Indexed: 12/13/2022] Open
Abstract
AIMS/INTRODUCTION Studies have been carried out to evaluate the correlation between TCF7L2 genetic polymorphisms and gestational diabetes mellitus (GDM) risk. However, the conclusions from these studies are incomplete, because partial single nucleotide polymorphisms (SNPs) were analyzed. We carried out a meta-analysis aimed to systematically evaluate TCF7L2 gene polymorphisms and GDM susceptibility in all population and racial/ethnic subgroups to afford a foundation for future research. MATERIALS AND METHODS Published studies censoring TCF7L2 variants and GDM risk were captured from the EMBASE, PubMed, CNKI and Wanfang databases. The meta-analysis was processed using software of RevMan 5.2 and Stata13. The relationship between TCF7L2 polymorphism and GDM occurrence was evaluated by pooled odds ratios. Stratified analysis based on race/ethnicity was also carried out. The allele-specific odds ratios and 95% confidence intervals were counted, and based on homogeneity evaluated using the I2 -test, fixed- or random-effects pooled measures were selected. RESULTS A total of 22 studies were covered, capturing eight TCF7L2 SNPs and involving 5,573 cases and 13,266 controls. Six of eight SNPs showed significant relationships with GDM occurrence, of which the SNPs rs7903146, rs12255372 and rs7901695 were the most powerful. Stratified analysis by race/ethnicity showed discrepant results in these three SNPs. In Caucasians and other races, all these SNPs were found to have a significant association with GDM risk, but in Asians, only SNP rs7903146 showed a significant association. CONCLUSIONS Six of eight SNPs were found to have significant associations between TCF7L2 variants and GDM risk in the overall population, with the most powerful in SNPs being rs7903146, rs12255372 and rs7901695, but the contribution of these SNPs to GDM risk were variable among different racial/ethnic groups.
Collapse
Affiliation(s)
- Shaoyan Chang
- Beijing Key Laboratory, Capital Institute of Pediatrics, Beijing, China
| | - Zhen Wang
- Beijing Key Laboratory, Capital Institute of Pediatrics, Beijing, China
| | - Lihua Wu
- Beijing Key Laboratory, Capital Institute of Pediatrics, Beijing, China
| | - Xiaolin Lu
- Beijing Key Laboratory, Capital Institute of Pediatrics, Beijing, China
| | | | - Yu Xin
- Beijing Key Laboratory, Capital Institute of Pediatrics, Beijing, China
| | - Li Li
- Neonatology Department, Capital Institute of Pediatrics, Beijing, China
| | - Li Wang
- Beijing Key Laboratory, Capital Institute of Pediatrics, Beijing, China
| |
Collapse
|
20
|
Saucedo R, Valencia J, Gutierrez C, Basurto L, Hernandez M, Puello E, Rico G, Vega G, Zarate A. Gene variants in the FTO gene are associated with adiponectin and TNF-alpha levels in gestational diabetes mellitus. Diabetol Metab Syndr 2017; 9:32. [PMID: 28507607 PMCID: PMC5427601 DOI: 10.1186/s13098-017-0234-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 05/05/2017] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Obesity may have a role in the development of gestational diabetes mellitus (GDM). Single-nucleotide-polymorphisms (SNPs) of the FTO (fat mass and obesity associated) gene have been associated with obesity. The aim of this study was to investigate SNPs rs8050136, rs9939609, and rs1421085 of the FTO gene in women with GDM and their associations with maternal pre-pregnancy weight and body mass index, gestational weight gain and mediators of insulin resistance in GDM like leptin, adiponectin, ghrelin and tumor necrosis factor-alpha (TNF-alpha), compared with healthy pregnant controls. METHODS 80 women with GDM and 80 women with normal pregnancy were considered for the present study. Genotyping of selected SNPs in all study subjects was done using the Taq-Man assay and the adipokines and ghrelin were measured by immunoassays. Chi square test, odds ratios (OR) and their respective 95% confidence intervals were used to measure the strength of association between FTO SNPs and GDM. RESULTS There was no association among FTO SNPs and GDM. Interestingly, in GDM group, women carrying the risk alleles of the three SNPs had increased TNF-alpha, and decreased adiponectin levels; these associations remained significant after adjusting for pre-gestational body weight and age. Moreover, the risk allele of rs1421085 was also associated with increased weight gain during pregnancy. CONCLUSIONS The FTP SNPs rs8050136, rs9939609, and rs1421085 are not a major genetic regulator in the etiology of GDM in the studied ethnic group. However, these SNPs were associated with adiponectin and TNF-alpha concentrations in GDM subjects.
Collapse
Affiliation(s)
- Renata Saucedo
- Endocrine Research Unit, National Medical Center, IMSS, Cuauhtemoc 330, 06720 Mexico City, Mexico
| | - Jorge Valencia
- Endocrine Research Unit, National Medical Center, IMSS, Cuauhtemoc 330, 06720 Mexico City, Mexico
| | - Claudia Gutierrez
- Endocrine Research Unit, National Medical Center, IMSS, Cuauhtemoc 330, 06720 Mexico City, Mexico
| | - Lourdes Basurto
- Endocrine Research Unit, National Medical Center, IMSS, Cuauhtemoc 330, 06720 Mexico City, Mexico
| | - Marcelino Hernandez
- Endocrine Research Unit, National Medical Center, IMSS, Cuauhtemoc 330, 06720 Mexico City, Mexico
| | - Edgardo Puello
- Hospital of Gynecology and Obstetrics, Medical Center La Raza, IMSS, Mexico City, Mexico
| | - Guadalupe Rico
- Unit of Experimental Medicine, UNAM, Mexico City, Mexico
| | - Gloria Vega
- Unit of Experimental Medicine, UNAM, Mexico City, Mexico
| | - Arturo Zarate
- Endocrine Research Unit, National Medical Center, IMSS, Cuauhtemoc 330, 06720 Mexico City, Mexico
| |
Collapse
|
21
|
Transcription Factor 7-Like 2 (TCF7L2) rs7903146 Polymorphism as a Risk Factor for Gestational Diabetes Mellitus: A Meta-Analysis. PLoS One 2016; 11:e0153044. [PMID: 27058589 PMCID: PMC4825985 DOI: 10.1371/journal.pone.0153044] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 03/22/2016] [Indexed: 12/13/2022] Open
Abstract
Background There are racial and ethnic differences in the prevalence of gestational diabetes mellitus (GDM). Prior meta-analyses included small samples and very limited non-Caucasian populations. Studies to determine the relationship between transcription factor 7 like-2 (TCF7L2) rs7903146 polymorphism and risk of GDM in Hispanics/Latinos are recently available. The present meta-analysis was to estimate the impact of allele variants of TCF7L2 rs7903146 polymorphism on GDM susceptibility in overall population and racial/ethnic subgroups. Methods Literature was searched in multiple databases including PubMed, Web of Science, EMBASE (Ovid SP), Airiti Library, Medline Complete, and ProQuest up to July 2015. Allelic frequency for TCF7L2 rs7903146 polymorphism in GDM and control subjects was extracted and statistical analysis was performed using Comprehensive Meta-Analysis (CMA) 2.0 statistical software. The association between TCF7L2 rs7903146 polymorphism and GDM risk was assessed by pooled odd ratios (ORs) using five gene models (dominant, recessive, homozygote, heterozygote, and allele). Stratified analysis based on race/ethnicity was also conducted. The between-study heterogeneity and contribution of each single study to the final result was tested by Cochran Q test and sensitivity analyses, respectively. Publication bias was evaluated using Egger’s linear regression test. Results A total of 16 studies involving 4,853 cases and 10,631 controls were included in this meta-analysis. Significant association between the T-allele of rs7903146 and GDM risk was observed under all genetic models, dominant model (OR = 1.44, 95% CI = 1.19–1.74), recessive model (OR = 1.35, 95% CI = 1.08–1.70), heterozygous model (OR = 1.31, 95% CI = 1.12–1.53), homozygous model (OR = 1.67, 95% CI = 1.31–2.12), and allele model (OR = 1.31, 95% CI = 1.12–1.53). Stratified analysis by race/ethnicity showed a statistically significant association between rs7903146 polymorphism and susceptibility to GDM under homozygous genetic model (TT versus CC) among whites, Hispanics/Latinos and Asians. Sensitivity analysis showed that the overall findings were robust to potentially influential decisions of the 16 studies included. No significant evidence for publication bias was observed in this meta-analysis for overall studies and subgroup studies. Conclusions This meta-analysis showed that the T allele of TCF7L2 rs7903146 polymorphism was associated with susceptibility of GDM in overall population in white, Hispanic/Latino and Asian sub-groups. Asians with homozygous TT allele of rs7903146 polymorphism have highest risk of GDM (OR = 2.08) followed by Hispanics/Latinos (OR = 1.80) and whites (OR = 1.51). The highest and lowest frequency of T allele of rs7903146 was found in Malaysia and South Korea, respectively. Future studies are needed to profile genetic risk for GDM among high risk Asian and Pacific Islander subgroups.
Collapse
|