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Franco C, Canzoniero LMT. Zinc homeostasis and redox alterations in obesity. Front Endocrinol (Lausanne) 2024; 14:1273177. [PMID: 38260166 PMCID: PMC10800374 DOI: 10.3389/fendo.2023.1273177] [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: 08/05/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Impairment of both cellular zinc and redox homeostasis is a feature of several chronic diseases, including obesity. A significant two-way interaction exists between redox metabolism and the relatively redox-inert zinc ion. Redox metabolism critically influences zinc homeostasis and controls its cellular availability for various cellular functions by regulating zinc exchange from/to zinc-binding proteins. Zinc can regulate redox metabolism and exhibits multiple pro-antioxidant properties. On the other hand, even minor disturbances in zinc status and zinc homeostasis affect systemic and cellular redox homeostasis. At the cellular level, zinc homeostasis is regulated by a multi-layered machinery consisting of zinc-binding molecules, zinc sensors, and two selective families of zinc transporters, the Zinc Transporter (ZnT) and Zrt, Irt-like protein (ZIP). In the present review, we summarize the current state of knowledge on the role of the mutual interaction between zinc and redox homeostasis in physiology and pathophysiology, pointing to the role of zinc in the alterations responsible for redox stress in obesity. Since zinc transporters primarily control zinc homeostasis, we describe how changes in the expression and activity of these zinc-regulating proteins are associated with obesity.
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Mera-Charria A, Nieto-Lopez F, Francès MP, Arbex PM, Vila-Vecilla L, Russo V, Silva CCV, De Souza GT. Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss. Front Nutr 2023; 10:1274662. [PMID: 38035352 PMCID: PMC10687570 DOI: 10.3389/fnut.2023.1274662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/24/2023] [Indexed: 12/02/2023] Open
Abstract
Purpose Obesity is a multifactorial condition with a relevant genetic correlation. Recent advances in genomic research have identified several single nucleotide polymorphisms (SNPs) in genes such as FTO, MCM6, HLA, and MC4R, associated with obesity. This study aimed to evaluate the association of 102 SNPs with BMI and weight loss treatment response in a multi-ethnic population. Methods The study analyzed 9,372 patients for the correlation between SNPs and BMI (dataset A). The correlation between SNP and weight loss was accessed in 474 patients undergoing different treatments (dataset B). Patients in dataset B were further divided into 3 categories based on the type of intervention: dietary therapy, intragastric balloon procedures, or surgeries. SNP association analysis and multiple models of inheritance were performed. Results In dataset A, ten SNPs, including rs9939609 (FTO), rs4988235 (MCM6), and rs2395182 (HLA), were significantly associated with increased BMI. Additionally, other four SNPs, rs7903146 (TCF7L2), (rs6511720), rs5400 (SLC2A2), and rs7498665 (SH2B1), showed sex-specific correlation. For dataset B, SNPs rs2016520 (PPAR-Delta) and rs2419621 (ACSL5) demonstrated significant correlation with weight loss for all treatment types. In patients who adhered to dietary therapy, SNPs rs6544713 (ABCG8) and rs762551 (CYP1A2) were strongly correlated with weight loss. Patients undergoing surgical or endoscopic procedures exhibited differential correlations with several SNPs, including rs1801725 (CASR) and rs12970134 (MC4R), and weight loss. Conclusion This study provides valuable insights into the genetic factors influencing BMI and weight loss response to different treatments. The findings highlight the potential for personalized weight management approaches based on individual genetic profiles.
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Affiliation(s)
| | - Francisco Nieto-Lopez
- Dorsia Clinics, Madrid, Spain
- Catedra UCAM Dorsia, Catholic University San Antonio of Murcia, Guadalupe, Spain
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Moazzam-Jazi M, Najd-Hassan-Bonab L, Masjoudi S, Tohidi M, Hedayati M, Azizi F, Daneshpour MS. Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case-control study and meta-analysis. Sci Rep 2022; 12:20709. [PMID: 36456687 PMCID: PMC9715540 DOI: 10.1038/s41598-022-24931-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022] Open
Abstract
Due to the central role in insulin secretion, the potassium inwardly-rectifying channel subfamily J member 11 (KCNJ11) gene is one of the essential genes for type 2 diabetes (T2D) predisposition. However, the relevance of this gene to T2D development is not consistent among diverse populations. In the current study, we aim to capture the possible association of common KCNJ11 variants across Iranian adults, followed by a meta-analysis. We found that the tested variants of KCNJ11 have not contributed to T2D incidence in Iranian adults, consistent with similar insulin secretion levels among individuals with different genotypes. The integration of our results with 72 eligible published case-control studies (41,372 cases and 47,570 controls) as a meta-analysis demonstrated rs5219 and rs5215 are significantly associated with the increased T2D susceptibility under different genetic models. Nevertheless, the stratified analysis according to ethnicity showed rs5219 is involved in the T2D risk among disparate populations, including American, East Asian, European, and Greater Middle Eastern, but not South Asian. Additionally, the meta-regression analysis demonstrated that the sample size of both case and control groups was significantly associated with the magnitude of pooled genetic effect size. The present study can expand our knowledge about the KCNJ11 common variant's contributions to T2D incidence, which is valuable for designing SNP-based panels for potential clinical applications in precision medicine. It also highlights the importance of similar sample sizes for avoiding high heterogeneity and conducting a more precise meta-analysis.
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Affiliation(s)
- Maryam Moazzam-Jazi
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Leila Najd-Hassan-Bonab
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sajedeh Masjoudi
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Tohidi
- Prevention of Metabolic Disorder Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Hedayati
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular, and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Association between type 2 diabetes mellitus and TCF7L2 gene variant in the Pakistani cohort. Int J Diabetes Dev Ctries 2022. [DOI: 10.1007/s13410-022-01138-4] [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: 11/27/2022] Open
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Dollet L, Kuefner M, Caria E, Rizo-Roca D, Pendergrast L, Abdelmoez AM, Karlsson HK, Björnholm M, Dalbram E, Treebak JT, Harada J, Näslund E, Rydén M, Zierath JR, Pillon NJ, Krook A. Glutamine Regulates Skeletal Muscle Immunometabolism in Type 2 Diabetes. Diabetes 2022; 71:624-636. [PMID: 35040927 PMCID: PMC8965677 DOI: 10.2337/db20-0814] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 12/23/2021] [Indexed: 11/23/2022]
Abstract
Dysregulation of skeletal muscle metabolism influences whole-body insulin sensitivity and glucose homeostasis. We hypothesized that type 2 diabetes-associated alterations in the plasma metabolome directly contribute to skeletal muscle immunometabolism and the subsequent development of insulin resistance. To this end, we analyzed the plasma and skeletal muscle metabolite profile and identified glutamine as a key amino acid that correlates inversely with BMI and insulin resistance index (HOMA-IR) in men with normal glucose tolerance or type 2 diabetes. Using an in vitro model of human myotubes and an in vivo model of diet-induced obesity and insulin resistance in male mice, we provide evidence that glutamine levels directly influence the inflammatory response of skeletal muscle and regulate the expression of the adaptor protein GRB10, an inhibitor of insulin signaling. Moreover, we demonstrate that a systemic increase in glutamine levels in a mouse model of obesity improves insulin sensitivity and restores glucose homeostasis. We conclude that glutamine supplementation may represent a potential therapeutic strategy to prevent or delay the onset of insulin resistance in obesity by reducing inflammatory markers and promoting skeletal muscle insulin sensitivity.
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Affiliation(s)
- Lucile Dollet
- Integrative Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Michael Kuefner
- Integrative Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Elena Caria
- Integrative Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - David Rizo-Roca
- Integrative Physiology, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Logan Pendergrast
- Integrative Physiology, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Ahmed M. Abdelmoez
- Integrative Physiology, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Håkan K.R. Karlsson
- Integrative Physiology, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Marie Björnholm
- Integrative Physiology, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Emilie Dalbram
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jonas T. Treebak
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jun Harada
- Cardiovascular-Metabolics Research Laboratories, Daiichi Sankyo Co., Ltd, Tokyo, Japan
| | - Erik Näslund
- Division of Surgery, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Rydén
- Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Juleen R. Zierath
- Integrative Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Integrative Physiology, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Nicolas J. Pillon
- Integrative Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Anna Krook
- Integrative Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Corresponding author: Anna Krook,
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Xu K, Lv H, Zhang J, Chen H, He Y, Shen M, Qian Y, Jiang H, Dai H, Zheng S, Yang T, Fu Q. The common rs13266634 C > T variant in SLC30A8 contributes to the heterogeneity of phenotype and clinical features of both type 1 and type 2 diabetic subtypes. Acta Diabetol 2022; 59:545-552. [PMID: 35034185 DOI: 10.1007/s00592-021-01831-6] [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: 10/11/2021] [Accepted: 11/23/2021] [Indexed: 11/01/2022]
Abstract
AIMS T2D and T1D are phenotypically heterogeneous. This study aims to reveal the relationship between the common SLC30A8 rs13266634 variant and subgroups of T2D and T1D and their clinical characteristics. METHODS We included 3158 OGTT-based healthy controls, unrelated 1754 T2D, and 1675 autoantibody-positive T1D individuals. The associations between rs13266634 and subtypes of T2D, T1D, autoantibody status and glycemic-related quantitative traits were performed by binary logistic regression analysis under the additive model and multiple linear regression with appropriate adjustment. RESULTS We found that the T allele of rs13266634 was protectively associated with lean (OR = 0.810, P = 6.91E-04) but not obese T2D with considerable heterogeneity (P = 0.018). This allele also conferred significant protection with T1D of single (OR = 0.847, P = 9.76E-03), but not multi autoantibodies with substantial heterogeneity (P = 0.005). This variant significantly affected OGTT-related insulin release in lean (P = 2.66E-03, 3.88E-03 for CIR and DI, respectively) but not obese healthy individuals. Furthermore, rs13266634 T allele correlated with the risk of ZnT8A (OR = 1.440, P = 3.31E-05) and IA-2A (OR = 1.219, P = 1.32E-03) positivity, with more effect size in children/adolescents compared with adult-onset T1D subtypes. CONCLUSIONS These suggested that the SLC30A8 rs13266634 variant might be put into genetic risk scores to assess the risk of the subtypes of T1D and T2D and their related clinical features.
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Affiliation(s)
- Kuanfeng Xu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Hui Lv
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Jie Zhang
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Heng Chen
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yunqiang He
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Min Shen
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yu Qian
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Hemin Jiang
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Hao Dai
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Shuai Zheng
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Tao Yang
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Qi Fu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
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Mir M, Mir R, Alghamdi M, Wani J, Elfaki I, Sabah Z, Alhujaily M, Jeelani M, Marakala V, Alharthi M, Al‑Shahrani A. Potential impact of GCK, MIR-196A-2 and MIR-423 gene abnormalities on the development and progression of type 2 diabetes mellitus in Asir and Tabuk regions of Saudi Arabia. Mol Med Rep 2022; 25:162. [PMID: 35293603 PMCID: PMC8941532 DOI: 10.3892/mmr.2022.12675] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/28/2022] [Indexed: 11/17/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by persistent hyperglycemia and is associated with serious complications. The risk factors for T2DM include both genetic and lifestyle factors. Genome-wide association studies have indicated the association of genetic variations with many diseases, including T2DM. Glucokinase (GCK) plays a key role in the regulation of insulin release in the pancreas and catalyzes the first step in glycolysis in the liver. Genetic alterations in the GCK gene have been implicated in both hyperglycemia and hypoglycemia. MicroRNAs (miRNAs/miRs) are small non-coding RNA molecules that are involved in the important physiological processes including glucose metabolism. In the present study, the association of the single nucleotide polymorphisms (SNPs) in the GCK, MIR-196A-2 and MIR-423 genes with susceptibility to T2DM in patients from two regions of Saudi Arabia were examined, using the tetra-primer amplification refractory mutation system. The results showed that the AA genotype and the A allele of GCK rs1799884 were associated with T2DM [odds ratio (OR)=2.25, P=0.032 and OR=1.55, P=0.021, respectively]. Likewise, the CT genotype and T allele of MIR-196A-2 rs11614913 were associated with an increased risk of T2DM (OR=2.36, P=0.0059 and OR=1.74, P=0.023, respectively). In addition, the CA genotype of MIR-423 rs6505162 C>A was found to be linked with T2DM (OR=2.12 and P=0.021). It was concluded in the present research study that gene variations in GCK, MIR-196A-2 and MIR-423 are potentially associated with an increased risk of T2DM. These results, in the future, may help in the identification and stratification of individuals susceptible to T2DM. Future longitudinal studies with larger sample sizes and in different ethnic populations are recommended to validate these findings.
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Affiliation(s)
- Mohammad Mir
- Department of Basic Medical Sciences, College of Medicine, University of Bisha, Bisha 61922, Kingdom of Saudi Arabia
| | - Rashid Mir
- Prince Fahd Bin Sultan Research Chair, Department of Medical Laboratory Technology (MLT), Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Kingdom of Saudi Arabia
| | - Mushabab Alghamdi
- Department of Internal Medicine, College of Medicine, University of Bisha, Bisha 61922, Kingdom of Saudi Arabia
| | - Javed Wani
- Department of Internal Medicine College of Medicine, King Khalid University, Abha 61421, Kingdom of Saudi Arabia
| | - Imadeldin Elfaki
- Department of Biochemistry, Faculty of Science, University of Tabuk, Tabuk 71491, Kingdom of Saudi Arabia
| | - Zia Sabah
- Department of Internal Medicine College of Medicine, King Khalid University, Abha 61421, Kingdom of Saudi Arabia
| | - Muhanad Alhujaily
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Bisha, Bisha 61922, Kingdom of Saudi Arabia
| | - Mohammed Jeelani
- Department of Basic Medical Sciences, College of Medicine, University of Bisha, Bisha 61922, Kingdom of Saudi Arabia
| | - Vijaya Marakala
- Department of Basic Medical Sciences, College of Medicine, University of Bisha, Bisha 61922, Kingdom of Saudi Arabia
| | - Muffarah Alharthi
- Department of Family Medicine, College of Medicine, University of Bisha, Bisha 61922, Kingdom of Saudi Arabia
| | - Abdullah Al‑Shahrani
- Department of Family Medicine, College of Medicine, University of Bisha, Bisha 61922, Kingdom of Saudi Arabia
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Luo F, Shi M, Guo J, Cheng Y, Xu X, Zeng J, Huang S, Huang W, Wei W, Wang Y, Chen R, Ma G. Association between the RETN -420C/G polymorphism and type 2 diabetes mellitus susceptibility: A meta-analysis of 23 studies. Front Endocrinol (Lausanne) 2022; 13:1039919. [PMID: 36619567 PMCID: PMC9810749 DOI: 10.3389/fendo.2022.1039919] [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: 09/08/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The published findings on the link between the resistin (RETN) gene polymorphism and type 2 diabetes mellitus (T2DM) risk are still contradictory. Here, through a meta-analysis, we summarized a more precise evaluation of their connection by synthesizing existing research. METHODS PubMed, Google Scholar, and Web of Science were electronically searched, and all cited sources were manually searched. The heterogeneity of effects was tested and all statistical analyses were performed in Stata 12.0. RESULTS A total of 23 studies with 10,651 cases and 14,366 controls on RETN -420C/G polymorphism were included. The overall results showed that the association of RETN -420C/G polymorphism and T2DM susceptibility was not significant [for the allelic model: odds ratio (OR) = 0.98, 95% confidence interval (CI) = 0.87-1.10, pheterogeneity <.001; I 2 = 84.6%; for the dominant model: OR = 0.96, 95% CI = 0.80-1.15, pheterogeneity <.001; I 2 = 87.1%; and for the recessive model: OR = 0.96, 95% CI = 0.82-1.12, pheterogeneity <.001; I 2 = 56.9%] but with high heterogeneity across studies (p <.0001). Meta-regression found that the median age of T2DM participants (using age 50 as the cutoff) could be a factor in the observed variation. The RETN -420C/G polymorphism seems to be linked to an increased risk of T2DM in younger individuals [for dominant: OR = 0.84 (95% CI, 0.72-0.98; pheterogeneity <.001; I 2 = 80.9%)] and decreased risk in older people [for dominant: OR = 3.14 (95% CI, 2.35-4.19; pheterogeneity = .98; I 2 = 0.0%)]. CONCLUSIONS Current results found no evidence that the RETN -420C/G variant was linked to T2DM susceptibility, but the patient's age appears to be a potential factor that contributed to high heterogeneity across studies. Additional high-quality and well-designed investigations are required to confirm these results.
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Affiliation(s)
- Fei Luo
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Mingjie Shi
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Junhao Guo
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- School of Public Health, Guangdong Medical University, Dongguan, China
| | - Yisen Cheng
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Xusan Xu
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Jieqing Zeng
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- First College of Clinical Medicine, Guangdong Medical University, Zhanjiang, China
| | - Si Huang
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- First College of Clinical Medicine, Guangdong Medical University, Zhanjiang, China
| | - Weijun Huang
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- First College of Clinical Medicine, Guangdong Medical University, Zhanjiang, China
| | - Wenfeng Wei
- Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Yajun Wang
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Riling Chen
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- Department of Hematology-Oncology, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- *Correspondence: Guoda Ma, ; Riling Chen,
| | - Guoda Ma
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, China
- Matenal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
- *Correspondence: Guoda Ma, ; Riling Chen,
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Germanos M, Gao A, Taper M, Yau B, Kebede MA. Inside the Insulin Secretory Granule. Metabolites 2021; 11:metabo11080515. [PMID: 34436456 PMCID: PMC8401130 DOI: 10.3390/metabo11080515] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/03/2021] [Accepted: 08/03/2021] [Indexed: 12/19/2022] Open
Abstract
The pancreatic β-cell is purpose-built for the production and secretion of insulin, the only hormone that can remove glucose from the bloodstream. Insulin is kept inside miniature membrane-bound storage compartments known as secretory granules (SGs), and these specialized organelles can readily fuse with the plasma membrane upon cellular stimulation to release insulin. Insulin is synthesized in the endoplasmic reticulum (ER) as a biologically inactive precursor, proinsulin, along with several other proteins that will also become members of the insulin SG. Their coordinated synthesis enables synchronized transit through the ER and Golgi apparatus for congregation at the trans-Golgi network, the initiating site of SG biogenesis. Here, proinsulin and its constituents enter the SG where conditions are optimized for proinsulin processing into insulin and subsequent insulin storage. A healthy β-cell is continually generating SGs to supply insulin in vast excess to what is secreted. Conversely, in type 2 diabetes (T2D), the inability of failing β-cells to secrete may be due to the limited biosynthesis of new insulin. Factors that drive the formation and maturation of SGs and thus the production of insulin are therefore critical for systemic glucose control. Here, we detail the formative hours of the insulin SG from the luminal perspective. We do this by mapping the journey of individual members of the SG as they contribute to its genesis.
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Bride L, Naslavsky M, Lopes Yamamoto G, Scliar M, Pimassoni LH, Sossai Aguiar P, de Paula F, Wang J, Duarte Y, Passos-Bueno MR, Zatz M, Imbroisi Valle Errera F. TCF7L2 rs7903146 polymorphism association with diabetes and obesity in an elderly cohort from Brazil. PeerJ 2021; 9:e11349. [PMID: 33996288 PMCID: PMC8106398 DOI: 10.7717/peerj.11349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 04/04/2021] [Indexed: 12/26/2022] Open
Abstract
Background Type 2 diabetes mellitus (T2DM) and obesity are complex pandemic diseases in the 21st century. Worldwide, the T allele rs7903146 in the TCF7L2 gene is recognized as a strong GWAS signal associated with T2DM. However, the association between the C allele and obesity is still poorly explored and needs to be replicated in other populations. Thus, the primary objectives of this study were to evaluate the TCF7L2 rs7903146 association with T2DM according to BMI status and to determine if this variant is related to obesity and BMI variation in a cohort of elderly Brazilians. Methods A total of 1,023 participants from an elderly census-based cohort called SABE (Saúde, Bem Estar e Envelhecimento—Health, Well-Being and Aging) were stratified by BMI status and type 2 diabetes presence. The TCF7L2 genotypes were filtered from the Online Archive of Brazilian Mutations (ABraOM—Online Archive of Brazilian Mutations) database, a web-based public database with sequencing data of samples of the SABE’s participants. Logistic regression models and interaction analyses were performed. The BMI variation (∆BMI) was calculated from anthropometric data collected in up to two time-points with a ten-year-assessment interval. Results The association between the rs7903146 T allele and T2DM was inversely proportional to the BMI status, with an increased risk in the normal weight group (OR 3.36; 95% CI [1.46–7.74]; P = 0.004). We confirmed the T allele association with risk for T2DM after adjusting for possible confound ing variables (OR 2.35; 95% CI [1.28–4.32]; P = 0.006). Interaction analysis showed that the increased risk for T2DM conferred by the T allele is modified by BMI (Pinteraction = 0.008), age (Pinteraction = 0.005) and gender (Pinteraction = 0.026). A T allele protective effect against obesity was observed (OR 0.71; 95% CI [0.54–0.94]; P = 0.016). The C allele increased obesity risk (OR 1.40; 95% CI [1.06–1.84]; P = 0.017) and the CC genotype showed a borderline association with abdominal obesity risk (OR 1.28; 95% CI [1.06–1.67]; P = 0.045). The CC genotype increased the obesity risk factor after adjusting for possible confounding variables (OR 1.41; 95% CI [1.06–1.86]; P = 0.017). An increase of the TT genotype in the second tertile of ∆BMI values was observed in participants without type 2 diabetes (OR 5.13; 95% CI [1.40–18.93]; P = 0.009) in the recessive genetic model. Conclusion We confirmed that the rs7903146 is both associated with T2DM and obesity. The TCF7L2 rs7903146 T allele increased T2DM risk in the normal weight group and interacted with sex, age and BMI, while the C allele increased obesity risk. The TT genotype was associated with a lesser extent of BMI variation over the SABE study’s 10-year period.
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Affiliation(s)
- Lais Bride
- Biotechnology Graduate Program, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Michel Naslavsky
- Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil
| | | | - Marilia Scliar
- Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Lucia Hs Pimassoni
- School of Science of Santa Casa de Misericórdia de Vitória, Vitória, Espírito Santo, Brazil
| | - Paola Sossai Aguiar
- Biotechnology Graduate Program, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Flavia de Paula
- Biotechnology Graduate Program, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.,Department of Biological Sciences, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Jaqueline Wang
- Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Yeda Duarte
- School of Nursing, University of São Paulo, São Paulo, São Paulo, Brazil.,School of Public Health, University of São Paulo, São Paulo, São Paulo, Brazil
| | | | - Mayana Zatz
- Biosciences Institute, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Flávia Imbroisi Valle Errera
- Biotechnology Graduate Program, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil.,Department of Biological Sciences, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil
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11
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Li C, Yang Y, Liu X, Li Z, Liu H, Tan Q. Glucose metabolism-related gene polymorphisms as the risk predictors of type 2 diabetes. Diabetol Metab Syndr 2020; 12:97. [PMID: 33292424 PMCID: PMC7643457 DOI: 10.1186/s13098-020-00604-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/22/2020] [Accepted: 10/26/2020] [Indexed: 02/07/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a complex polygenic metabolic disease characterized by elevated blood glucose. Multiple environmental and genetic factors can increase the risk of T2DM and its complications, and genetic polymorphisms are no exception. This review is mainly focused on the related genes involved in glucose metabolic, including G6PC2, GCK, GCKR and OCT3. In this review, we have summarized the results reported globally and found that the genetic variants of GCK and OCT3 genes is a risk factor for T2DM while G6PC2 and GCKR genes are controversial in different ethnic groups. Hopefully, this summary could possibly help researchers and physicians understand the mechanism of T2DM so as to diagnose and even prevent T2DM at early time.
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Affiliation(s)
- Cuilin Li
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China.
| | - Yuping Yang
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
| | - Xin Liu
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
| | - Zhongyu Li
- Laboratory Medical Center, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, China
| | - Hong Liu
- Department of Metabolism and Endocrinology, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, China
| | - Qiuhong Tan
- Department of Pharmacy, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, 412007, Hunan, China
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12
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Manning AK, Goustin AS, Kleinbrink EL, Thepsuwan P, Cai J, Ju D, Leong A, Udler MS, Brown JB, Goodarzi MO, Rotter JI, Sladek R, Meigs JB, Lipovich L. A Long Non-coding RNA, LOC157273, Is an Effector Transcript at the Chromosome 8p23.1- PPP1R3B Metabolic Traits and Type 2 Diabetes Risk Locus. Front Genet 2020; 11:615. [PMID: 32754192 PMCID: PMC7367044 DOI: 10.3389/fgene.2020.00615] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 05/20/2020] [Indexed: 01/08/2023] Open
Abstract
AIMS Causal transcripts at genomic loci associated with type 2 diabetes (T2D) are mostly unknown. The chr8p23.1 variant rs4841132, associated with an insulin-resistant diabetes risk phenotype, lies in the second exon of a long non-coding RNA (lncRNA) gene, LOC157273, located 175 kilobases from PPP1R3B, which encodes a key protein regulating insulin-mediated hepatic glycogen storage in humans. We hypothesized that LOC157273 regulates expression of PPP1R3B in human hepatocytes. METHODS We tested our hypothesis using Stellaris fluorescent in situ hybridization to assess subcellular localization of LOC157273; small interfering RNA (siRNA) knockdown of LOC157273, followed by RT-PCR to quantify LOC157273 and PPP1R3B expression; RNA-seq to quantify the whole-transcriptome gene expression response to LOC157273 knockdown; and an insulin-stimulated assay to measure hepatocyte glycogen deposition before and after knockdown. RESULTS We found that siRNA knockdown decreased LOC157273 transcript levels by approximately 80%, increased PPP1R3B mRNA levels by 1.7-fold, and increased glycogen deposition by >50% in primary human hepatocytes. An A/G heterozygous carrier (vs. three G/G carriers) had reduced LOC157273 abundance due to reduced transcription of the A allele and increased PPP1R3B expression and glycogen deposition. CONCLUSION We show that the lncRNA LOC157273 is a negative regulator of PPP1R3B expression and glycogen deposition in human hepatocytes and a causal transcript at an insulin-resistant T2D risk locus.
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Affiliation(s)
- Alisa K. Manning
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, United States
- Department of Medicine, Harvard Medical School, Boston, MA, United States
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Anton Scott Goustin
- Center for Molecular Medicine & Genetics, Wayne State University, Detroit, MI, United States
| | - Erica L. Kleinbrink
- Center for Molecular Medicine & Genetics, Wayne State University, Detroit, MI, United States
| | - Pattaraporn Thepsuwan
- Center for Molecular Medicine & Genetics, Wayne State University, Detroit, MI, United States
| | - Juan Cai
- Center for Molecular Medicine & Genetics, Wayne State University, Detroit, MI, United States
| | - Donghong Ju
- Center for Molecular Medicine & Genetics, Wayne State University, Detroit, MI, United States
- Karmanos Cancer Institute at Wayne State University, Detroit, MI, United States
| | - Aaron Leong
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Miriam S. Udler
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, United States
| | - James Bentley Brown
- Department of Statistics, University of California, Berkeley, Berkeley, CA, United States
- Centre for Computational Biology, University of Birmingham, Birmingham, United Kingdom
- Computational Biosciences Group, Biosciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Mark O. Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Robert Sladek
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
- McGill University and Genome Québec Innovation Centre, Montréal, QC, Canada
| | - James B. Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, United States
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Leonard Lipovich
- Center for Molecular Medicine & Genetics, Wayne State University, Detroit, MI, United States
- Department of Neurology, School of Medicine, Wayne State University, Detroit, MI, United States
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13
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Velayutham K, Ramanathan B, Murugan J, Murugan A, Thavamani V, Gomathinayagam R. Carriers of the TCF7L2 rs7903146, rs12255372 Risk Alleles in the South Tamil Nadu T2DM Patients Present with Early Incidence and Insulin Dependence. Indian J Endocrinol Metab 2019; 23:563-569. [PMID: 31803598 PMCID: PMC6873260 DOI: 10.4103/ijem.ijem_540_19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND AND AIMS Metabolic abnormalities in T2DM (Type 2 diabetes mellitus) include classic manifestations such as impaired insulin secretion, synthesis and peripheral insulin resistance. The intronic variants rs7903146 and rs12255372 of the TCF7L2 (transcription factor 7-like 2) gene are strongly associated with risk of incidence of T2DM and impaired β-cell functions. Studies addressing the early T2DM onset, and early insulin dependence in T2DM patients of south Tamil Nadu are still lacking, and hence the present study focuses in determining the influence of the TCF7L2 polymorphisms in the incidence and disease course in the T2DM patients of south Tamil Nadu. METHODS Anthropometric measurements and biochemical parameters were carried out in early onset (Group A), early onset insulin dependent T2DM patients (Group B) and non-insulin dependent T2DM patients (Group C). PCR, allele specific PCR (ASP), PCR product sequencing strategies were utilized to determine the genotype and the impact of the TCF7L2 SNPs in the T2DM disease course. RESULTS Female T2DM patients with the CT/TT rs7903146 genotype (P = 0.005) and the rs12255372 GT/TT genotype (P = 0.036) exhibited a significantly low mean age for T2DM incidence. Correlation/regression analysis in the T2DM patients revealed that rs12255372 (P = 0.042) is associated with early onset in the Group C patients and the rs7903146 (P = 0.018), rs12255372 (P = 0.026) are associated with insulin dependence in the group B patients. CONCLUSION Screening for the TCF7L2 polymorphisms will prevent T2DM incidence and enable life style changes, appropriate therapeutic strategies that would help combat the accelerated disease course in the T2DM patients.
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Affiliation(s)
- Kumaravel Velayutham
- Alpha Hospital and Research Center, Alpha Health Foundation, Mela Anuppanady, Madurai, Tamil Nadu, India
| | - Balaji Ramanathan
- Alpha Hospital and Research Center, Alpha Health Foundation, Mela Anuppanady, Madurai, Tamil Nadu, India
| | - Jeyasudha Murugan
- Alpha Hospital and Research Center, Alpha Health Foundation, Mela Anuppanady, Madurai, Tamil Nadu, India
| | - Arulvani Murugan
- Alpha Hospital and Research Center, Alpha Health Foundation, Mela Anuppanady, Madurai, Tamil Nadu, India
| | - Vishali Thavamani
- Alpha Hospital and Research Center, Alpha Health Foundation, Mela Anuppanady, Madurai, Tamil Nadu, India
| | - Rohini Gomathinayagam
- Alpha Hospital and Research Center, Alpha Health Foundation, Mela Anuppanady, Madurai, Tamil Nadu, India
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14
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Mao Z, Lin H, Su W, Li J, Zhou M, Li Z, Zhou B, Yang Q, Zhou M, Pan K, He J, Zhang W. Deficiency of ZnT8 Promotes Adiposity and Metabolic Dysfunction by Increasing Peripheral Serotonin Production. Diabetes 2019; 68:1197-1209. [PMID: 30936149 DOI: 10.2337/db18-1321] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 03/04/2019] [Indexed: 02/05/2023]
Abstract
ZnT8 is a zinc transporter enriched in pancreatic β-cells, and its polymorphism is associated with increased susceptibility to type 2 diabetes. However, the exact role of ZnT8 in systemic energy metabolism remains elusive. In this study, we found that ZnT8 knockout mice displayed increased adiposity without obvious weight gain. We also observed that the intestinal tract morphology, motility, and gut microbiota were changed in ZnT8 knockout mice. Further study demonstrated that ZnT8 was expressed in enteroendocrine cells, especially in 5-hydroxytryptamine (5-HT)-positive enterochromaffin cells. Lack of ZnT8 resulted in an elevated circulating 5-HT level owing to enhanced expression of tryptophan hydroxylase 1. Blocking 5-HT synthesis in ZnT8-deficient mice restored adiposity, high-fat diet-induced obesity, and glucose intolerance. Moreover, overexpression of human ZnT8 diabetes high-risk allele R325W increased 5-HT levels relative to the low-risk allele in RIN14B cells. Our study revealed an unexpected role of ZnT8 in regulating peripheral 5-HT biogenesis and intestinal microenvironment, which might contribute to the increased risk of obesity and type 2 diabetes.
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Affiliation(s)
- Zhuo Mao
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
| | - Hui Lin
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
| | - Wen Su
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
| | - Jinghui Li
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
| | - Minsi Zhou
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
| | - Zhuoran Li
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
| | - Beibei Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong Province, China
| | - Qing Yang
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
| | - Mingyan Zhou
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
| | - Ke Pan
- Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong Province, China
| | - Jinhan He
- Department of Pharmacy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Weizhen Zhang
- Center for Diabetes, Obesity and Metabolism, Department of Physiology, Shenzhen University Health Science Center, Shenzhen, Guangdong Province, China
- Department of Physiology and Pathophysiology, School of Basic Science, Peking University Health Science Center, Beijing, China
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15
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Beysel S, Eyerci N, Pinarli FA, Kizilgul M, Ozcelik O, Caliskan M, Cakal E. HNF1A gene p.I27L is associated with early-onset, maturity-onset diabetes of the young-like diabetes in Turkey. BMC Endocr Disord 2019; 19:51. [PMID: 31109344 PMCID: PMC6528345 DOI: 10.1186/s12902-019-0375-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Accepted: 04/24/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The molecular basis of the Turkish population with suspected maturity-onset diabetes of the young (MODY) has not been identified. This is the first study to investigate the association between HNF1A-gene single-nucleotide polymorphisms (SNPs) and having early-onset, MODY-like diabetes mellitus in the Turkish population. METHODS All diabetic patients (N = 565) who presented to our clinic between 2012 and 2015 with a clinical suspicion of MODY were included in the study. Analysis of HNF1A, HNFB, HNF4A, GCK gene mutations was performed using real-time polymerase chain reaction sequencing. After genetic analysis, diabetics (n = 46) with HNF1A, HNF1B, HNF4A, GCK gene mutations (diagnosed as MODY) and diabetics (n = 30) with HNF1B, HNF4A, GCK gene SNPs were excluded. Patients with early-onset, MODY-like diabetes (n = 486) and non-diabetic controls (n = 263) were included. Genetic analyses for the HNF1A gene p.S487 N (rs2464196), p.A98V (rs1800574) and p.I27L (rs1169288) SNPs were performed using Sanger-based DNA sequencing among the control group. RESULTS p.S487 N and p.A98V was similar between the diabetics and controls in dominant and recessive models with no association (each, p > 0.05). p.I27L GT/TT carriers (GT/TT vs. GG, OR = 1.68, 95% CI: [1. 21-2.13]; p = 0.035) and p.I27L TT carriers had increased risk of having MODY-like diabetes (GT/GG vs. TT, OR = 1.56, 95% CI: [1. 14-2.57]; p = 0.048). Family inheritance of diabetes was significantly more common in patients with the p.I27L TT genotype. The p.I27L SNP was modestly associated with having diabetes after adjusting for body mass index and age (β = 1.45, 95% CI: [1. 2-4.2]; p = 0.036). CONCLUSIONS The HNF1A gene p.I27L SNP was modestly associated with having early-onset, MODY-like diabetes in the Turkish population. HNF1A gene p.I27L SNP might contribute to age at diabetes diagnosis and family inheritance.
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Affiliation(s)
- Selvihan Beysel
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Training Research Hospital, Ankara, Turkey
- Department of Medical Biology, Baskent University, Ankara, Turkey
- Department of Endocrinology and Metabolism, Afyonkarahisar Saglik Bilimleri University, Afyonkarahisar, Turkey
| | - Nilnur Eyerci
- Department of Genetic Research, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Ferda Alparslan Pinarli
- Department of Genetic Research, Diskapi Yildirim Beyazit Teaching and Research Hospital, Ankara, Turkey
| | - Muhammed Kizilgul
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Training Research Hospital, Ankara, Turkey
| | - Ozgur Ozcelik
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Training Research Hospital, Ankara, Turkey
| | - Mustafa Caliskan
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Training Research Hospital, Ankara, Turkey
| | - Erman Cakal
- Department of Endocrinology and Metabolism, Diskapi Yildirim Beyazit Teaching and Training Research Hospital, Ankara, Turkey
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16
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Wu L, Wang CC. Genetic variants in promoter regions associated with type 2 diabetes mellitus: A large-scale meta-analysis and subgroup analysis. J Cell Biochem 2019; 120:13012-13025. [PMID: 30860284 DOI: 10.1002/jcb.28572] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 02/20/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Promoter plays important roles in regulating transcription of genes. Association studies of genetic variants in promoter region with type 2 diabetes (T2D) risk have been reported, but most were limited to small number of individual genetic variants and insufficient sample sizes. In addition, the effect of study populations and demographic characteristics were often neglected. METHODS In this study, we conducted a large-scale meta-analysis and subgroup analysis of T2D associated genetic variants in the promoter regions to evaluate their contribution to the susceptibility in T2D. Alleles and genotypes from cohort or case-controlled studies were extracted for future study. Total 41 742 cases and 50 493 controls for three loci were involved in 70 articles. RESULTS Seventy case-controlled studies of three genes with 41 742 cases and 50 493 controls were included. Meta-analysis showed only rs266729 and rs17300539 of ADIPOQ, and rs1884613, rs2144908, and rs4810424 of HNF4A were significantly associated with T2D risk. Subgroup analysis showed that both rs266729 and rs17300539 of ADIPOQ were associated with the risk of T2D in Caucasian population, but only rs266729 of ADIPOQ in Asian population and rs2144908 in other population including multinational North American. For diagnostic criteria, rs266729 of ADIPOQ and rs2144908 of HNF4A were associated with T2D risk when WHO/ADA diagnostic criteria were used. For genotyping methods, both rs266729 of ADIPOQ and rs2144908 of HNF4A were associated with T2D risk when other than Taqman and Sequencing methods were used. CONCLUSIONS T2D was significantly associated with promoter rs266729, rs17300539, rs1884613, rs2144908, and rs4810424, and the association of T2D risk were affected by study population, diagnostic criteria, and genotype methods.
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Affiliation(s)
- Ling Wu
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong
| | - Chi Chiu Wang
- Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong.,School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong
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Costa-Urrutia P, Abud C, Franco-Trecu V, Colistro V, Rodríguez-Arellano ME, Granados J, Seelaender M. Genetic susceptibility to pre diabetes mellitus and related association with obesity and physical fitness components in Mexican-Mestizos. Prim Care Diabetes 2018; 12:416-424. [PMID: 30041843 DOI: 10.1016/j.pcd.2018.07.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 05/19/2018] [Accepted: 07/01/2018] [Indexed: 12/16/2022]
Abstract
Pre diabetes mellitus (pre-DM) is considered an early-reversible condition that can progress to Type 2 diabetes mellitus (T2DM) which is the main cause of death for adult Mexican population. Gene variants influencing fasting glucose levels may constitute helpful tool for prevention purposes in pre-DM condition. Physically active Mexican-Mestizo adults (n=565) were genotyped for 6 single nucleotide polymorphisms (SNPs) (ADIPOQ rs2241766, ACSL1 rs9997745, LIPC rs1800588, PPARA rs1800206, PPARG rs1801282 and PPARGC1A rs8192678) related to lipid and carbohydrate metabolism. Fasting glucose was measured and values classified as pre-DM (≥100mg/dL) or normal fasting glucose. Logistic models were used to test associations between pre-DM condition and SNPs, and interaction with Body Mass Index (BMI) and physical fitness components. The A allele of ASCL1 rs9997745 conferred increased risk (OR=3.39, p=0.001) of pre-DM which is modulated by BMI. The A allele of the PPARGC1A rs8192678 showed significant SNP*BMI (OR=1.10, p=0.008) interaction effect for pre-DM risk, meaning that obese subjects showed higher pre-DM risk but normal weight subjects showed lower risk. The effect increased with age and was attenuated by higher cardiorespiratory values. We found that both ACSL1 rs9997745 and PPARGC1A rs8192678 are associated with pre-DM, and that BMI significantly modified their association.
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Affiliation(s)
- Paula Costa-Urrutia
- Department of Cell and Developmental Biology Institute of Biomedical Sciences, Faculty of Medicine, University of São Paulo, Av. Prof. Lineu Prestes, 2415, São Paulo, Brazil; Sport City, SA de CV, Grupo Marti, Blvd Adolfo López Mateos 1181, San Pedro de los Pinos, ZC: 01180 Álvaro Obregón, Mexico City, Mexico.
| | - Carolina Abud
- Sport City, SA de CV, Grupo Marti, Blvd Adolfo López Mateos 1181, San Pedro de los Pinos, ZC: 01180 Álvaro Obregón, Mexico City, Mexico
| | - Valentina Franco-Trecu
- Departamento de Ecología y Evolución, Facultad de Ciencias, Universidad de la República, Iguá 4225, ZC: 11400 Montevideo, Uruguay
| | - Valentina Colistro
- Departamento de Genética, Facultad de Medicina, Universidad de la República, Av. Gral. Flores 2125, ZC: 11800 Montevideo, Uruguay
| | - Martha Eunice Rodríguez-Arellano
- Laboratorio de Medicina Genómica del Hospital Regional Lic, Adolfo López Mateos, ISSSTE, Av. Universidad 1321, Florida, ZC: 01030 Álvaro Obregón, Mexico City, Mexico
| | - Julio Granados
- División de Inmunogenética, Departamento de Trasplantes, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, ZC: 14080, Mexico City, Mexico
| | - Marilia Seelaender
- Department of Cell and Developmental Biology Institute of Biomedical Sciences, Faculty of Medicine, University of São Paulo, Av. Prof. Lineu Prestes, 2415, São Paulo, Brazil
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Chen X, Ayala I, Shannon C, Fourcaudot M, Acharya NK, Jenkinson CP, Heikkinen S, Norton L. The Diabetes Gene and Wnt Pathway Effector TCF7L2 Regulates Adipocyte Development and Function. Diabetes 2018; 67:554-568. [PMID: 29317436 PMCID: PMC5860863 DOI: 10.2337/db17-0318] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Accepted: 12/28/2017] [Indexed: 12/11/2022]
Abstract
The gene encoding for transcription factor 7-like 2 (TCF7L2) is the strongest type 2 diabetes mellitus (T2DM) candidate gene discovered to date. The TCF7L2 protein is a key transcriptional effector of the Wnt/β-catenin signaling pathway, which is an important developmental pathway that negatively regulates adipogenesis. However, the precise role that TCF7L2 plays in the development and function of adipocytes remains largely unknown. Using a combination of in vitro approaches, we first show that TCF7L2 protein is increased during adipogenesis in 3T3-L1 cells and primary adipocyte stem cells and that TCF7L2 expression is required for the regulation of Wnt signaling during adipogenesis. Inactivation of TCF7L2 protein by removing the high-mobility group (HMG)-box DNA binding domain in mature adipocytes in vivo leads to whole-body glucose intolerance and hepatic insulin resistance. This phenotype is associated with increased subcutaneous adipose tissue mass, adipocyte hypertrophy, and inflammation. Finally, we demonstrate that TCF7L2 mRNA expression is downregulated in humans with impaired glucose tolerance and adipocyte insulin resistance, highlighting the translational potential of these findings. In summary, our data indicate that TCF7L2 has key roles in adipose tissue development and function that may reveal, at least in part, how TCF7L2 contributes to the pathophysiology of T2DM.
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Affiliation(s)
- Xi Chen
- Diabetes Division, University of Texas Health Science Center, San Antonio, TX
| | - Iriscilla Ayala
- Diabetes Division, University of Texas Health Science Center, San Antonio, TX
| | - Chris Shannon
- Diabetes Division, University of Texas Health Science Center, San Antonio, TX
| | - Marcel Fourcaudot
- Diabetes Division, University of Texas Health Science Center, San Antonio, TX
| | - Nikhil K Acharya
- Diabetes and Obesity Center of Excellence, University of Washington, Seattle, WA
| | - Christopher P Jenkinson
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Harlingen, TX
| | - Sami Heikkinen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Luke Norton
- Diabetes Division, University of Texas Health Science Center, San Antonio, TX
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Chen L, Qin Y, Liang D, Liang X, Liang Y, Li L, Xian J, Zhang L, Tong L, Li H, Zhang H. Gender differences in the association of ENPP1 polymorphisms with type 2 diabetes in a Chinese population. Gene 2017; 637:190-195. [PMID: 28951309 DOI: 10.1016/j.gene.2017.09.052] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 09/17/2017] [Accepted: 09/22/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1) encodes the human plasma-cell membrane differentiation antigen-1, and ENPP1 variants have been shown to be associated with type 2 diabetes (T2D) and insulin resistance. In this study, we investigated the involvement of ENPP1 polymorphisms in T2D. METHODS The association of the two polymorphisms of ENPP1 (rs7754586 and rs55725924) with T2D and diabetes-related quantitative traits was analyzed in Chinese samples containing 929 T2D patients and 1044 healthy individuals. We also performed the expression quantitative trait loci (eQTL) analysis to study the association of both polymorphisms of ENPP1 with mRNA expression levels using the genotype-tissue expression database. RESULTS The risk allele A of the polymorphism rs7754586 contributed to T2D (odds ratio: 1.252, 95% confidence interval: 1.044-1.615, P=0.018). The polymorphism rs55725924 was associated with the diastolic blood pressure and cholesterol levels. Patients carrying high-risk haplotype A-T of rs7754586 and rs55725924 exhibited a high risk of acquiring T2D. These associations were only observed in males, but not in females. In addition, the eQTL analysis demonstrated that the risk allele of rs7754586 was associated with higher levels of ENPP1 mRNA expression. CONCLUSION Our findings suggest that the ENPP1 polymorphism rs7754586 may implicate in the pathogenesis of T2D in men, while polymorphism rs55725924 may be involved in diastolic blood pressure and cholesterol of male T2D patients.
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Affiliation(s)
- Lulin Chen
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Yingfen Qin
- Department of Endocrine, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Danyan Liang
- Third Affiliated Hospital of Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Xinghuan Liang
- Department of Endocrine, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Yaojie Liang
- Beihai Center for Disease Prevention and Control, Beihai 536000, People's Republic of China
| | - Li Li
- Department of Endocrine, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Jing Xian
- Department of Endocrine, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Lulu Zhang
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Lei Tong
- School of Public Health, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China
| | - Hong Li
- School of General Medicine, Guangxi Medical University, Nanning 530021, People's Republic of China.
| | - Haiying Zhang
- Department of International Education, Guangxi Medical University, Nanning 530021, People's Republic of China; Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People's Republic of China.
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20
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Drake I, Hindy G, Ericson U, Orho-Melander M. A prospective study of dietary and supplemental zinc intake and risk of type 2 diabetes depending on genetic variation in SLC30A8. GENES AND NUTRITION 2017; 12:30. [PMID: 29093761 PMCID: PMC5661924 DOI: 10.1186/s12263-017-0586-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 10/19/2017] [Indexed: 11/26/2022]
Abstract
Background The solute carrier family 30 member 8 gene (SLC30A8) encodes a zinc transporter in the pancreatic beta cells and the major C-allele of a missense variant (rs13266634; C/T; R325W) in SLC30A8 is associated with an increased risk of type 2 diabetes (T2D). We hypothesized that the association between zinc intake and T2D may be modified by the SLC30A8 genotype. Results We carried out a prospective study among subjects with no history cardio-metabolic diseases in the Malmö Diet and Cancer Study cohort (N = 26,132, 38% men; 86% with genotype data). Zinc intake was assessed using a diet questionnaire and food record. During a median follow-up of 19 years, 3676 T2D cases occurred. A BMI-stratified Cox proportional hazards regression model with attained age as the time scale was used to model the association between total and dietary zinc intake, zinc supplement use, zinc to iron ratio, and risk of T2D adjusting for putative confounding factors. The median total zinc intake was 11.4 mg/day, and the median dietary zinc intake was 10.7 mg/day. Zinc supplement users (17%) had a median total zinc intake of 22.4 mg/day. Dietary zinc intake was associated with increased risk of T2D (Ptrend < 0.0001). In contrast, we observed a lower risk of T2D among zinc supplement users (HR = 0.79, 95% CI 0.70–0.89). The SLC30A8 CC genotype was associated with a higher risk of T2D (HR = 1.16, 95% CI 1.07–1.24), and the effect was stronger among subjects with higher BMI (Pinteraction = 0.007). We observed no significant modification of the zinc-T2D associations by SLC30A8 genotype. However, a three-way interaction between SLC30A8 genotype, BMI, and zinc to iron ratio was observed (Pinteraction = 0.007). A high zinc to iron ratio conferred a protective associated effect on T2D risk among obese subjects, and the effect was significantly more pronounced among T-allele carriers. Conclusions Zinc supplementation and a high zinc to iron intake ratio may lower the risk of T2D, but these associations could be modified by obesity and the SLC30A8 genotype. The findings implicate that when considering zinc supplementation for T2D prevention, both obesity status and SLC30A8 genotype may need to be accounted for. Electronic supplementary material The online version of this article (10.1186/s12263-017-0586-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Isabel Drake
- Diabetes and Cardiovascular Disease - Genetic Epidemiology, Lund University Diabetes Centre, Department of Clinical Sciences in Malmö, Lund University, Clinical Research Center 60:13, Jan Waldenströms gata 35, SE-205 02 Malmö, Sweden
| | - George Hindy
- Diabetes and Cardiovascular Disease - Genetic Epidemiology, Lund University Diabetes Centre, Department of Clinical Sciences in Malmö, Lund University, Clinical Research Center 60:13, Jan Waldenströms gata 35, SE-205 02 Malmö, Sweden
| | - Ulrika Ericson
- Diabetes and Cardiovascular Disease - Genetic Epidemiology, Lund University Diabetes Centre, Department of Clinical Sciences in Malmö, Lund University, Clinical Research Center 60:13, Jan Waldenströms gata 35, SE-205 02 Malmö, Sweden
| | - Marju Orho-Melander
- Diabetes and Cardiovascular Disease - Genetic Epidemiology, Lund University Diabetes Centre, Department of Clinical Sciences in Malmö, Lund University, Clinical Research Center 60:13, Jan Waldenströms gata 35, SE-205 02 Malmö, Sweden
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21
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Ivarsdottir EV, Steinthorsdottir V, Daneshpour MS, Thorleifsson G, Sulem P, Holm H, Sigurdsson S, Hreidarsson AB, Sigurdsson G, Bjarnason R, Thorsson AV, Benediktsson R, Eyjolfsson G, Sigurdardottir O, Olafsson I, Zeinali S, Azizi F, Thorsteinsdottir U, Gudbjartsson DF, Stefansson K. Effect of sequence variants on variance in glucose levels predicts type 2 diabetes risk and accounts for heritability. Nat Genet 2017; 49:1398-1402. [DOI: 10.1038/ng.3928] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 07/11/2017] [Indexed: 12/18/2022]
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22
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Corella D, Coltell O, Sorlí JV, Estruch R, Quiles L, Martínez-González MÁ, Salas-Salvadó J, Castañer O, Arós F, Ortega-Calvo M, Serra-Majem L, Gómez-Gracia E, Portolés O, Fiol M, Díez Espino J, Basora J, Fitó M, Ros E, Ordovás JM. Polymorphism of the Transcription Factor 7-Like 2 Gene (TCF7L2) Interacts with Obesity on Type-2 Diabetes in the PREDIMED Study Emphasizing the Heterogeneity of Genetic Variants in Type-2 Diabetes Risk Prediction: Time for Obesity-Specific Genetic Risk Scores. Nutrients 2016; 8:E793. [PMID: 27929407 PMCID: PMC5188448 DOI: 10.3390/nu8120793] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 11/17/2016] [Accepted: 11/17/2016] [Indexed: 11/24/2022] Open
Abstract
Nutrigenetic studies analyzing gene-diet interactions of the TCF7L2-rs7903146 C > T polymorphism on type-2 diabetes (T2D) have shown controversial results. A reason contributing to this may be the additional modulation by obesity. Moreover, TCF7L2-rs7903146 is one of the most influential variants in T2D-genetic risk scores (GRS). Therefore, to increase the predictive value (PV) of GRS it is necessary to first see whether the included polymorphisms have heterogeneous effects. We comprehensively investigated gene-obesity interactions between the TCF7L2-rs7903146 C > T polymorphism on T2D (prevalence and incidence) and analyzed other T2D-polymorphisms in a sub-sample. We studied 7018 PREDIMED participants at baseline and longitudinally (8.7 years maximum follow-up). Obesity significantly interacted with the TCF7L2-rs7903146 on T2D prevalence, associations being greater in non-obese subjects. Accordingly, we prospectively observed in non-T2D subjects (n = 3607) that its association with T2D incidence was stronger in non-obese (HR: 1.81; 95% CI: 1.13-2.92, p = 0.013 for TT versus CC) than in obese subjects (HR: 1.01; 95% CI: 0.61-1.66; p = 0.979; p-interaction = 0.048). Accordingly, TCF7L2-PV was higher in non-obese subjects. Additionally, we created obesity-specific GRS with ten T2D-polymorphisms and demonstrated for the first time their higher strata-specific PV. In conclusion, we provide strong evidence supporting the need for considering obesity when analyzing the TCF7L2 effects and propose the use of obesity-specific GRS for T2D.
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Affiliation(s)
- Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Computer Languages and Systems, School of Technology and Experimental Sciences, Universitat Jaume I, 12071 Castellón, Spain.
| | - Jose V Sorlí
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Internal Medicine, Hospital Clinic, IDIBAPS, 08036 Barcelona, Spain.
| | - Laura Quiles
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra-Navarra Institute for Health Research (IdisNa), 31009 Pamplona, Spain.
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, University Rovira i Virgili, 43003 Reus, Spain.
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Cardiology, Hospital Txagorritxu, 01009 Vitoria, Spain.
| | - Manuel Ortega-Calvo
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Centro de Salud Las Palmeritas, 41003 Sevilla, Spain.
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Spain.
| | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Epidemiology, School of Medicine, University of Malaga, 29071 Malaga, Spain.
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Miquel Fiol
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Palma Institute of Health Research (IdISPa), Hospital Son Espases, 07014 Palma de Mallorca, Spain.
| | - Javier Díez Espino
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra-Navarra Institute for Health Research (IdisNA)-Servicio Navarro de Salud-Osasunbidea, 31009 Pamplona, Spain.
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, University Rovira i Virgili, 43003 Reus, Spain.
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, 08036 Barcelona, Spain.
| | - José M Ordovás
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain.
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA.
- Department of Cardiovascular Epidemiology and Population Genetics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid 28029-IMDEA Alimentación, 28049 Madrid, Spain.
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Abstract
Despite the progress made in understanding the biology of autism spectrum disorder (ASD), effective biological interventions for the core symptoms remain elusive. Because of the etiological heterogeneity of ASD, identification of a "one-size-fits-all" treatment approach will likely continue to be challenging. A meeting was convened at the University of Missouri and the Thompson Center to discuss strategies for stratifying patients with ASD for the purpose of moving toward precision medicine. The "white paper" presented here articulates the challenges involved and provides suggestions for future solutions.
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Fan M, Li W, Wang L, Gu S, Dong S, Chen M, Yin H, Zheng J, Wu X, Jin J, Jiang X, Cai J, Liu P, Zheng C. Association of SLC30A8 gene polymorphism with type 2 diabetes, evidence from 46 studies: a meta-analysis. Endocrine 2016; 53:381-94. [PMID: 26832344 DOI: 10.1007/s12020-016-0870-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 01/13/2016] [Indexed: 11/30/2022]
Abstract
The solute carrier family 30 member 8 (SLC30A8) gene may be involved in the development of type 2 diabetes mellitus (T2DM) through disrupting β-cell function. The aim of this study was to assess the association between SLC30A8 rs13266634 polymorphism and susceptibility to T2DM. We searched all reports regarding the association between SLC30A8 rs13266634 polymorphism and T2DM risk through Pubmed, Embase, and the Cochrane Library for English language reports and Chongqing VIP database, Wanfang data, CBMDisc, and CNKI for Chinese language studies. Allelic and genotype comparisons between cases and controls were evaluated, and odds ratios with 95 % confidence intervals were used to assess the strength of their association. A random effects model was selected. Publication bias was estimated using Begg's test. Forty-six studies were included in the analysis with a total of 71,890 cases and 96,753 controls. This meta-analysis suggests that SLC30A8 (rs13266634) polymorphism was associated with T2DM risk. Although previous meta-analyses have shown that this association was only found in Asian and European groups, and not in African populations, our analysis revealed the deleterious effect of SLC30A8 rs13266634 on T2DM in an African population when stratified by ethnicity under additive model even with a small number of studies.
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Affiliation(s)
- Mengdi Fan
- Department of Pathology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Weimin Li
- Department of Ultrasonography, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Lian Wang
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Suping Gu
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Sisi Dong
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Mengdie Chen
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Haimin Yin
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Jinjue Zheng
- Department of Ultrasonography, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xiaoying Wu
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Jian Jin
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xuchao Jiang
- Department of Pathophysiology, Obesity and Diabetes Center, Second Military Medical University, Shanghai, 200433, China
| | - Jiao Cai
- Department of Pathophysiology, Obesity and Diabetes Center, Second Military Medical University, Shanghai, 200433, China
| | - Peining Liu
- Department of Child Health, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
| | - Chao Zheng
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
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25
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Kong X, Xing X, Hong J, Zhang X, Yang W. Genetic variants associated with lean and obese type 2 diabetes in a Han Chinese population: A case-control study. Medicine (Baltimore) 2016; 95:e3841. [PMID: 27281091 PMCID: PMC4907669 DOI: 10.1097/md.0000000000003841] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Type 2 diabetes (T2D) is highly phenotypically heterogeneous. Genetics of the heterogeneity of lean and obese T2D is not clear. The aim of the present study was to identify the associations of T2D-related genetic variants with the risks for lean and obese T2D among the Chinese Han population. A case-control study consisting of 5338 T2D patients and 4663 normal glycemic controls of Chinese Han recruited in the Chinese National Diabetes and Metabolic Disorders Study was conducted. T2D cases were identified according to the 1999 World Health Organization criteria. Lean T2D was defined as T2D patient with a body mass index (BMI) <23 kg/m, whereas obese T2D was defined as T2D patient with a BMI ≥28 kg/m. Twenty-five genome-wide association studies previously validated T2D-related single-nucleotide polymorphisms (SNPs) were genotyped. A genotype risk score (GRS) based on the 25 SNPs was created. After adjusting for multiple covariates, SNPs in or near CDKAL1, CDKN2BAS, KCNQ1, TCF7L2, CDC123/CAMK1D, HHEX, and TCF2 were associated with the risk for lean T2D, and SNPs in or near KCNQ1 and FTO were associated with the risk for obese T2D. The results showed that the GRS for 25 T2D-related SNPs was more strongly associated with the risk for lean T2D (Ptrend = 2.66 × 10) than for obese T2D (Ptrend = 2.91 × 10) in our study population. Notably, the T2D GRS contributed to lower obesity-related measurements and greater β-cell dysfunction, including lower insulin levels in oral glucose tolerance test, decreased insulinogenic index, and Homeostasis Model Assessment for β-cell Function. In conclusion, our findings identified T2D-related genetic loci that contribute to the risk of lean and obese T2D individually and additively in a Chinese Han population. Moreover, the study highlights the contribution of known T2D genomic loci to the heterogeneity of lean and obese T2D in Chinese Hans.
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Affiliation(s)
| | | | | | | | - Wenying Yang
- ∗Correspondence: Wenying Yang, Department of Endocrinology, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing 100029, P.R. China (e-mail: )
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Kasim NB, Huri HZ, Vethakkan SR, Ibrahim L, Abdullah BM. Genetic polymorphisms associated with overweight and obesity in uncontrolled Type 2 diabetes mellitus. Biomark Med 2016; 10:403-15. [DOI: 10.2217/bmm-2015-0037] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Generally, obese and overweight individuals display higher free fatty acid levels, which stimulate insulin resistance. The combination of overweight or obesity with insulin resistance can trigger Type 2 diabetes mellitus (T2DM) and are primary contributing factors to the development of uncontrolled T2DM. Genetic polymorphisms also play an important role as they can impact a population's susceptibility to becoming overweight or obese and developing related chronic complications, such as uncontrolled T2DM. This review specifically examines the genetic polymorphisms associated with overweight and obesity in patients with uncontrolled T2DM. Particularly, gene polymorphisms in ADIPOQ (rs1501299 and rs17300539), LepR (rs1137101 and rs1045895), IRS2 (rs1805092), GRB14 (rs10195252 and rs3923113) and PPARG (rs1801282) have been associated with overweight and obesity in uncontrolled T2DM.
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Affiliation(s)
- Nor Bahirah Kasim
- Department of Pharmacy, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Hasniza Zaman Huri
- Department of Pharmacy, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
- Clinical Investigation Centre, Faculty of Medicine, 13th Floor Main Tower, University Malaya Medical Centre, 59100 Lembah Pantai Kuala Lumpur, Malaysia
| | | | - Luqman Ibrahim
- Department of Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Bashar Mudhaffar Abdullah
- Clinical Investigation Centre, Faculty of Medicine, 13th Floor Main Tower, University Malaya Medical Centre, 59100 Lembah Pantai Kuala Lumpur, Malaysia
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Al-Safar H, Kamal W, Hassoun A, Almahmeed W, Rais N. Combined association analysis of interleukin 1-receptor antagonist (IL-1RN) variable number of tandem repeat (VNTR) and Haptoglobin 1/2 polymorphisms with type 2 diabetes mellitus risk. J Diabetes Metab Disord 2016; 15:10. [PMID: 27030821 PMCID: PMC4812649 DOI: 10.1186/s40200-016-0232-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 03/19/2016] [Indexed: 01/17/2023]
Abstract
Background The polymorphism of Interleukin 1 receptor antagonist gene (IL-1RN), which encodes a natural antagonist of pro-inflammatory cytokines belonging to IL-1 family and Haptoglobin (HP) have been studied in various ethnic groups in association with Type 2 Diabetes Mellitus (T2DM) risk and related complications. However, there was no study available among the Emirati population. Hence, we designed a combined study on IL-1RN and HP polymorphism to evaluate their association with prevalence of T2DM, related complication and hypertension and also its interaction with obesity status among Emirati population. Methods IL-1RN and HP genotypes were determined in total 487 Emiratis divided in two groups of T2DM case (n = 271) and healthy controls (n = 215) by polymerase chain reaction (PCR) followed by gel electrophoresis. Gene-gene interaction and polymorphism-obesity interaction were determined by multivariate logistic regression analysis. Results We found that the frequencies of IL-1RN*1/*1 and HP2-2 genotypes were significantly higher in cases than control and were associated with increased T2DM risk with an odds ratio (OR) of 1.60 (95 % CI 1.10–2.36) and 1.63 (95 % CI 1.11–2.64), respectively. The association lack any interaction with obesity status. Associations with occurrences of T2DM related complications and hypertension were not observed. Conclusions We report an association of IL-1RN and HP polymorphism with T2DM risk independent of each other and of obesity status but no association with related complications and hypertension. Electronic supplementary material The online version of this article (doi:10.1186/s40200-016-0232-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Habiba Al-Safar
- Khalifa University Center of Biotechnology, Khalifa University of Science, Technology & Research, P.O. Box 127788, Abu Dhabi, United Arab Emirates ; Khalifa University Center of Biotechnology, P.O. Box 127788, Abu Dhabi, United Arab Emirates
| | - Wala Kamal
- School of Life Sciences, Manipal University, P.O. Box-345050, Dubai, United Arab Emirates
| | - Ahmed Hassoun
- Dubai Diabetes Centre, Dubai Health Authority, Dubai, United Arab Emirates
| | - Wael Almahmeed
- Institute of cardiac science, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates
| | - Naushad Rais
- School of Life Sciences, Manipal University, P.O. Box-345050, Dubai, United Arab Emirates
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Yako YY, Madubedube JH, Kengne AP, Erasmus RT, Pillay TS, Matsha TE. Contribution of ENPP1, TCF7L2, and FTO polymorphisms to type 2 diabetes in mixed ancestry ethnic population of South Africa. Afr Health Sci 2015; 15:1149-60. [PMID: 26958016 DOI: 10.4314/ahs.v15i4.14] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Transcription factor 7-like 2 gene (TCF7L2), fat mass and obesity-associated gene (FTO), and ectonucleotide pyrophosphatase/phosphodiesterase gene (ENPP1) are known risk loci for type 2 diabetes (T2DM) mostly in European populations. OBJECTIVES To assess the association of these genes with T2DM risk in a South African mixed-ancestry population. METHODS Five hundred and sixty six participants were genotyped for ENPP1-rs997509 and -rs1044498, FTO-9941349 and -rs3751812, TCF7L2-rs12255372 and -rs7903146 polymorphisms using Taqman genotyping assays and validated by automated sequencing to assess the association of the polymorphisms with cardiometabolic traits. RESULTS In logistic regression models adjusted for age, sex, body mass index (BMI) and insulin resistance, minor allele of rs997509 was associated with a higher risk of prevalent T2DM under a recessive model [odd ratio 4.60 (95% confidence interval: 1.07 to 19.86); p = 0.040].Under additive model, the rs7903146 [1.43 (1.00 to 2.04); p= 0.053] and rs9941349 [1.43 (1.00 to 2.04); p = 0.052] minor alleles showed marginally significant associations with a high risk of T2DM. However, only the rs7903146 alleles (p=0.011) and genotypes (p=0.025) distributions were statistically significantly different between diabetic and non-diabetic individuals. CONCLUSION Our findings demonstrate that ENPP1, TCF7L2, and FTO may predispose to T2DM in the mixed-ancestry population.
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Affiliation(s)
- Yandiswa Y Yako
- Department of Surgery, Faculty of Health Sciences, University of Witwatersrand, South Africa
| | - Jabulisile H Madubedube
- Department of Biomedical Sciences Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Andre P Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Rajiv T Erasmus
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa
| | - Tahir S Pillay
- Institute for Cellular and Molecular Medicine, Molecular Endocrinology, University of Pretoria
| | - Tandi E Matsha
- Department of Biomedical Sciences Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
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Liu HP, Zhao Q, Jin GZ, Qian YW, Gu YJ, Dong H, Lu XY, Cong WM, Wu MC. Unique genetic alterations and clinicopathological features of hepatocellular adenoma in Chinese population. Pathol Res Pract 2015; 211:918-24. [DOI: 10.1016/j.prp.2015.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2015] [Accepted: 09/02/2015] [Indexed: 01/09/2023]
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Association of Angiotensin Converting Enzyme Insertion-Deletion Polymorphism with Hypertension in Emiratis with Type 2 Diabetes Mellitus and Its Interaction with Obesity Status. DISEASE MARKERS 2015; 2015:536041. [PMID: 26491214 PMCID: PMC4603605 DOI: 10.1155/2015/536041] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Accepted: 08/12/2015] [Indexed: 01/06/2023]
Abstract
The association of Angiotensin Converting Enzyme (ACE) insertion-deletion (I/D) polymorphism with Type 2 Diabetes Mellitus (T2DM) and hypertension has been extensively studied throughout various ethnic populations but largely with inconsistent findings. We investigated these associations in Emirati population and their interaction with obesity status. Saliva samples were collected from a total of 564 Emiratis (277 T2DM and 297 healthy). DNA was extracted and the samples were genotyped for ACE I/D polymorphism by a PCR based method followed by gel electrophoresis. Upon evaluation of the ACE I/D polymorphism amongst all T2DM, hypertensive patients, and respective controls regardless of obesity status, ACE DD genotype was not found to be associated with either T2DM [odds ratio (OR) = 1.34, p = 0.086] or hypertension [odd ratio (OR) = 1.02, p = 0.93]. When the genetic variants amongst the nonobese and obese population were analyzed separately, the risk genotype ACE DD conferred significantly increased risk of hypertension in nonobese population [odds ratio (OR) = 1.80, p = 0.02] but was found to be protective against the hypertension in the obese group ((OR) = 0.54, p = 0.01). However, there was no effect of obesity status on the association of ACE genotypes with T2DM. The risk of hypertension associated with ACE DD is modulated by obesity status and hence future genetic association studies should take obesity into account for the interpretation of data. We also confirmed that ACE I/D polymorphism is not associated with T2DM risk in Emirati population.
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Cheng L, Zhang D, Zhou L, Zhao J, Chen B. Association between SLC30A8 rs13266634 Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis. Med Sci Monit 2015. [PMID: 26214053 PMCID: PMC4527121 DOI: 10.12659/msm.894052] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Accumulating but inconsistent data about the role of rs13266634 variant of SLC30A8 in type 2 diabetes have been reported, partly due to small sample sizes and non-identical ethnicity. MATERIAL AND METHODS We searched PubMed and Cochrane Library to identify eligible studies and extract data of baseline characteristics, genotype count, odds ratio (OR), and 95% confidence interval (CI). Both adjusted OR with 95% CI and genotype counts were employed to assess the association. Genotype data were further pooled to provide estimates under different genetic models and the most appropriate model was determined. Sensitivity and cumulative analysis were conducted to assure the strength of results. RESULTS Fifty-five datasets of 39 studies (including 38 of 24 with genotype count) were included. Significant associations were found in allelic contrasts using adjusted ORs and raw genotype count, respectively, overall in Asian and European populations (overall: OR=1.147/1.157, 95% CI 1.114-1.181/1.135-1.180; Asian: OR=1.186/1.165, 95% CI 1.150-1.222/1.132-1.198; European: OR=1.100/1.151, 95% CI 1.049-1.153/1.120-1.183; All p=0.00), but not in African populations (African: OR=1.255/1.111, 95% CI 0.964-1.634/0.908-1.360, p=0.091/0.305). Further analysis with genotype count under different genetic models all showed that individuals with CC genotype had 33.0% and 16.5% higher risk of type 2 diabetes than those carrying TT and CT genotypes, respectively, under the most likely codominant model. Cumulative analysis indicated gradually improved precision of estimation after studies accumulated. CONCLUSIONS Our results suggest that rs13266634 may be an important genetic factor of type 2 diabetes risk among Asian and European but not African populations.
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Affiliation(s)
- Liqing Cheng
- Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
| | - Dongmei Zhang
- Department of Dermatology, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
| | - Lina Zhou
- Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
| | - Jie Zhao
- Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
| | - Bing Chen
- Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
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Sokolova EA, Bondar IA, Shabelnikova OY, Pyankova OV, Filipenko ML. Replication of KCNJ11 (p.E23K) and ABCC8 (p.S1369A) Association in Russian Diabetes Mellitus 2 Type Cohort and Meta-Analysis. PLoS One 2015; 10:e0124662. [PMID: 25955821 PMCID: PMC4425644 DOI: 10.1371/journal.pone.0124662] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 03/17/2015] [Indexed: 12/26/2022] Open
Abstract
The genes ABCC8 and KCNJ11 have received intense focus in type 2 diabetes mellitus (T2DM) research over the past two decades. It has been hypothesized that the p.E23K (KCNJ11) mutation in the 11p15.1 region may play an important role in the development of T2DM. In 2009, Hamming et al. found that the p.1369A (ABCC8) variant may be a causal factor in the disease; therefore, in this study we performed a meta-analysis to evaluate the association between these single nucleotide polymorphisms (SNPs), including our original data on the Siberian population (1384 T2DM and 414 controls). We found rs5219 and rs757110 were not associated with T2DM in this population, and that there was linkage disequilibrium in Siberians (D’=0.766, r2= 0.5633). In addition, the haplotype rs757110[T]-rs5219[C] (p.23K/p.S1369) was associated with T2DM (OR = 1.52, 95% CI: 1.04-2.24). We included 44 original studies published by June 2014 in a meta-analysis of the p.E23K association with T2DM. The total OR was 1.14 (95% CI: 1.11-1.17) for p.E23K for a total sample size of 137,298. For p.S1369A, a meta-analysis was conducted on a total of 10 studies with a total sample size of 14,136 and pooled OR of 1.14 [95% CI (1.08-1.19); p = 2 x 10-6]. Our calculations identified causal genetic variation within the ABCC8/KCNJ11 region for T2DM with an OR of approximately 1.15 in Caucasians and Asians. Moreover, the OR value was not dependent on the frequency of p.E23K or p.S1369A in the populations.
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Affiliation(s)
- Ekaterina Alekseevna Sokolova
- Laboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Irina Arkadievna Bondar
- Novosibirsk State Regional Hospital, Regional Diabetes center, Novosibirsk, Russia
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - Olesya Yurievna Shabelnikova
- Novosibirsk State Regional Hospital, Regional Diabetes center, Novosibirsk, Russia
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - Olga Vladimirovna Pyankova
- Laboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Maxim Leonidovich Filipenko
- Laboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia
- Kazan Federal University, Kazan, Russia
- * E-mail:
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Piñero J, Queralt-Rosinach N, Bravo À, Deu-Pons J, Bauer-Mehren A, Baron M, Sanz F, Furlong LI. DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2015; 2015:bav028. [PMID: 25877637 PMCID: PMC4397996 DOI: 10.1093/database/bav028] [Citation(s) in RCA: 630] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Accepted: 03/09/2015] [Indexed: 11/25/2022]
Abstract
DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380 000 associations between >16 000 genes and 13 000 diseases, which makes it one of the largest repositories currently available of its kind. DisGeNET integrates expert-curated databases with text-mined data, covers information on Mendelian and complex diseases, and includes data from animal disease models. It features a score based on the supporting evidence to prioritize gene-disease associations. It is an open access resource available through a web interface, a Cytoscape plugin and as a Semantic Web resource. The web interface supports user-friendly data exploration and navigation. DisGeNET data can also be analysed via the DisGeNET Cytoscape plugin, and enriched with the annotations of other plugins of this popular network analysis software suite. Finally, the information contained in DisGeNET can be expanded and complemented using Semantic Web technologies and linked to a variety of resources already present in the Linked Data cloud. Hence, DisGeNET offers one of the most comprehensive collections of human gene-disease associations and a valuable set of tools for investigating the molecular mechanisms underlying diseases of genetic origin, designed to fulfill the needs of different user profiles, including bioinformaticians, biologists and health-care practitioners. Database URL: http://www.disgenet.org/
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Affiliation(s)
- Janet Piñero
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain, Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Penzberg, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany and Scientific & Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
| | - Núria Queralt-Rosinach
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain, Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Penzberg, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany and Scientific & Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
| | - Àlex Bravo
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain, Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Penzberg, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany and Scientific & Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
| | - Jordi Deu-Pons
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain, Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Penzberg, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany and Scientific & Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
| | - Anna Bauer-Mehren
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain, Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Penzberg, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany and Scientific & Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
| | - Martin Baron
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain, Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Penzberg, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany and Scientific & Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
| | - Ferran Sanz
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain, Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Penzberg, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany and Scientific & Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
| | - Laura I Furlong
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain, Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center Penzberg, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany and Scientific & Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
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Davis JA, Burgoon LD. Can data science inform environmental justice and community risk screening for type 2 diabetes? PLoS One 2015; 10:e0121855. [PMID: 25875676 PMCID: PMC4396977 DOI: 10.1371/journal.pone.0121855] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 02/16/2015] [Indexed: 11/24/2022] Open
Abstract
Background Having the ability to scan the entire country for potential “hotspots” with increased risk of developing chronic diseases due to various environmental, demographic, and genetic susceptibility factors may inform risk management decisions and enable better environmental public health policies. Objectives Develop an approach for community-level risk screening focused on identifying potential genetic susceptibility hotpots. Methods Our approach combines analyses of phenotype-genotype data, genetic prevalence of single nucleotide polymorphisms, and census/geographic information to estimate census tract-level population attributable risks among various ethnicities and total population for the state of California. Results We estimate that the rs13266634 single nucleotide polymorphism, a type 2 diabetes susceptibility genotype, has a genetic prevalence of 56.3%, 47.4% and 37.0% in Mexican Mestizo, Caucasian, and Asian populations. Looking at the top quintile for total population attributable risk, 16 California counties have greater than 25% of their population living in hotspots of genetic susceptibility for developing type 2 diabetes due to this single genotypic susceptibility factor. Conclusions This study identified counties in California where large portions of the population may bear additional type 2 diabetes risk due to increased genetic prevalence of a susceptibility genotype. This type of screening can easily be extended to include information on environmental contaminants of interest and other related diseases, and potentially enables the rapid identification of potential environmental justice communities. Other potential uses of this approach include problem formulation in support of risk assessments, land use planning, and prioritization of site cleanup and remediation actions.
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Affiliation(s)
- J. Allen Davis
- National Center for Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America
- * E-mail:
| | - Lyle D. Burgoon
- National Center for Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America
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Abstract
Type 2 diabetes (T2D) had long been referred to as the "geneticist's nightmare." Genome-wide association studies have fully confirmed the polygenic nature of T2D, demonstrating the role of many genes in T2D risk. The increasingly busier picture of T2D genetics is quite difficult to understand for the diabetes research community, which can create misunderstandings with geneticists, and can eventually limit both basic research and translational outcomes of these genetic discoveries. The present review wishes to lift the fog around genetics of T2D with the hope that it will foster integrated diabetes modeling approaches from genetic defects to personalized medicine.
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Affiliation(s)
- Amélie Bonnefond
- CNRS-UMR8199, Lille Pasteur Institute, Lille 59000, France; Lille University, Lille 59000, France; European Genomic Institute for Diabetes (EGID), Lille 59000, France
| | - Philippe Froguel
- CNRS-UMR8199, Lille Pasteur Institute, Lille 59000, France; Lille University, Lille 59000, France; European Genomic Institute for Diabetes (EGID), Lille 59000, France; Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London W12 0NN, UK.
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Associations between the common HNF1A gene variant p.I27L (rs1169288) and risk of type 2 diabetes mellitus are influenced by weight. DIABETES & METABOLISM 2015; 41:91-4. [DOI: 10.1016/j.diabet.2014.04.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2013] [Revised: 04/24/2014] [Accepted: 04/25/2014] [Indexed: 11/20/2022]
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Al-Safar H, Hassoun A, Almazrouei S, Kamal W, Afandi B, Rais N. Association of the Genetic Polymorphisms in Transcription Factor 7-Like 2 and Peroxisome Proliferator-Activated Receptors- γ 2 with Type 2 Diabetes Mellitus and is Interaction with Obesity Status in Emirati Population. J Diabetes Res 2015; 2015:129695. [PMID: 26273662 PMCID: PMC4530252 DOI: 10.1155/2015/129695] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 04/27/2015] [Accepted: 04/27/2015] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Transcription factor 7-like 2 gene (TCF7L2) and peroxisome proliferator-activated receptors-γ2 (PPAR-γ2) have a profound effect on the incidence of type 2 diabetes mellitus (T2DM) and had previously been found to be associated with T2DM risk in various ppopulations. However, studies in the Arab population are inconsistent. We conducted a case control study to confirm the association of variants rs10885409 of TCF7L2 and Pro12Ala (rs1801282) of PPAR-γ2 with risk of T2DM and related complications in Emirati population of Arab origin. We also investigated the interaction of these associations with obesity status. METHODS DNA was extracted from the saliva samples of 272 T2DM patients and 216 nondiabetic Emiratis. Genotyping for rs10885409 (TCF7L2) and rs1801282 (PPAR-γ2 P12A) variants was accomplished with a TaqMan assay. The subgroups were constituted according to obesity status. RESULTS In the nonobese group, the rs10885409 C allele in the recessive model was significantly associated with the incidence of T2DM (OR 1.975 [95% CI 1.127-3.461], P = 0.017), but this association was not observed in the obese group or when BMI was not considered. PPAR-γ2 risk allele Pro12 frequency (0.96) was similar in the groups tested and more than 90% population was homozygous for this allele. CONCLUSIONS Our case-control study is the first of its kind in Emiratis which establishes TCF7L2 rs10885409 C allele as a T2DM risk factor in Emiratis and this association is modulated by obesity status. We also confirmed that Pro12Ala mutation in PPAR-γ2 is not associated with T2DM risk in this population.
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Affiliation(s)
- Habiba Al-Safar
- Department of Biomedical Engineering, Khalifa University of Science, Technology & Research, P.O. Box 127788, Abu Dhabi, UAE
| | - Ahmed Hassoun
- Dubai Diabetes Centre, Dubai Health Authority, Dubai, UAE
| | - Shaikha Almazrouei
- Department of Biomedical Engineering, Khalifa University of Science, Technology & Research, P.O. Box 127788, Abu Dhabi, UAE
| | - Wala Kamal
- School of Life Sciences, Manipal University, P.O. Box 345050, Dubai, UAE
| | | | - Naushad Rais
- School of Life Sciences, Manipal University, P.O. Box 345050, Dubai, UAE
- *Naushad Rais:
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Haghvirdizadeh P, Mohamed Z, Abdullah NA, Haghvirdizadeh P, Haerian MS, Haerian BS. KCNJ11: Genetic Polymorphisms and Risk of Diabetes Mellitus. J Diabetes Res 2015; 2015:908152. [PMID: 26448950 PMCID: PMC4584059 DOI: 10.1155/2015/908152] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Revised: 11/18/2014] [Accepted: 11/27/2014] [Indexed: 01/12/2023] Open
Abstract
Diabetes mellitus (DM) is a major worldwide health problem and its prevalence has been rapidly increasing in the last century. It is caused by defects in insulin secretion or insulin action or both, leading to hyperglycemia. Of the various types of DM, type 2 occurs most frequently. Multiple genes and their interactions are involved in the insulin secretion pathway. Insulin secretion is mediated through the ATP-sensitive potassium (KATP) channel in pancreatic beta cells. This channel is a heteromeric protein, composed of four inward-rectifier potassium ion channel (Kir6.2) tetramers, which form the pore of the KATP channel, as well as sulfonylurea receptor 1 subunits surrounding the pore. Kir6.2 is encoded by the potassium inwardly rectifying channel, subfamily J, member 11 (KCNJ11) gene, a member of the potassium channel genes. Numerous studies have reported the involvement of single nucleotide polymorphisms of the KCNJ11 gene and their interactions in the susceptibility to DM. This review discusses the current evidence for the contribution of common KCNJ11 genetic variants to the development of DM. Future studies should concentrate on understanding the exact role played by these risk variants in the development of DM.
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Affiliation(s)
- Polin Haghvirdizadeh
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Zahurin Mohamed
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Nor Azizan Abdullah
- Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | | | - Monir Sadat Haerian
- Shahid Beheshti University of Medical Sciences, P.O. Box 19395-4763, Tehran, Iran
- Food and Drug Control Reference Labs Center (FDCRLC), Ministry of Health and Medical Education, Tehran 131456-8784, Iran
| | - Batoul Sadat Haerian
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
- *Batoul Sadat Haerian:
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Association between PPAR-γ2 Pro12Ala polymorphism and obesity: a meta-analysis. Mol Biol Rep 2014; 42:1029-38. [PMID: 25502405 DOI: 10.1007/s11033-014-3838-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2013] [Accepted: 11/11/2014] [Indexed: 10/24/2022]
Abstract
The peroxisome proliferator-activated receptor-γ2 (PPAR-γ2) gene has been reported in the pathogeny of obesity. However, the results have been inconsistent. The purpose of this meta-analysis was to acquire a more accurate assessment of the association between PPAR-γ2 Pro12Ala polymorphism and obesity. PubMed, Wan Fang (Chinese) databases, Chinese Biomedical Medical databases, and Chinese National Knowledge Infrastructure were searched to identify eligible studies. Finally, 25 studies (6491 cases and 8242 controls) were enrolled in this meta-analysis. The effect summary odds ratio (OR) with 95 % confidence interval (CI) was applied. Random-effects or fixed-effects model was performed based on the heterogeneity. STATA 12.0 was applied for this meta-analysis. The combined results showed that PPAR-γ Pro12Ala polymorphism was associated with the obesity risk (Ala vs. Pro: OR = 1.55, 95 % CI 1.34-1.80; Pro/Ala vs. Pro/Pro: OR = 1.54, 95 % CI 1.31-1.82; Ala/Ala + Pro/Ala vs. Pro/Pro: OR = 1.61, 95 % CI 1.36-1.90). Subgroup analysis by ethnicity showed that there were significant associations between PPAR-γ Pro12Ala polymorphism and obesity risk in Caucasians, Asians, and Mixed population. Subgroup analysis by obesity's cutoff points showed that the associations were found among the patients with the cutoff point of BMI ≥24 and BMI ≥30 but not among the patients with the cutoff point of BMI ≥95th percentile. These results suggested that PPAR-γ Pro12Ala polymorphism might be a risk factor for obesity susceptibility.
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Effect of interactions between genetic polymorphisms and cigarette smoking on plasma triglyceride levels in elderly Koreans: the Hallym Aging Study. Genes Genomics 2014. [DOI: 10.1007/s13258-014-0234-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Davidson HW, Wenzlau JM, O'Brien RM. Zinc transporter 8 (ZnT8) and β cell function. Trends Endocrinol Metab 2014; 25:415-24. [PMID: 24751356 PMCID: PMC4112161 DOI: 10.1016/j.tem.2014.03.008] [Citation(s) in RCA: 107] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Revised: 03/17/2014] [Accepted: 03/19/2014] [Indexed: 02/07/2023]
Abstract
Human pancreatic β cells have exceptionally high zinc content. In β cells the highest zinc concentration is in insulin secretory granules, from which it is cosecreted with the hormone. Uptake of zinc into secretory granules is mainly mediated by zinc transporter 8 (ZnT8), the product of the SLC30A8 [solute carrier family 30 (zinc transporter), member 8] gene. The minor alleles of several single-nucleotide polymorphisms (SNPs) in SLC30A8 are associated with decreased risk of type 2 diabetes (T2D), but the precise mechanisms underlying the protective effects remain uncertain. In this article we review current knowledge of the role of ZnT8 in maintaining zinc homeostasis in β cells, its role in glucose metabolism based on knockout mouse studies, and current theories regarding the link between ZnT8 function and T2D.
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Affiliation(s)
- Howard W Davidson
- Barbara Davis Center for Diabetes, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA; Integrated Department of Immunology, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.
| | - Janet M Wenzlau
- Barbara Davis Center for Diabetes, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Richard M O'Brien
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
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Abstract
Zinc is an essential nutrient with tremendous importance for human health, and zinc deficiency is a severe risk factor for increased mortality and morbidity. As abnormal zinc homeostasis causes diabetes, and because the pancreatic β-cell contains the highest zinc content of any known cell type, it is of interest to know how zinc fluxes are controlled in β-cells. The understanding of zinc homeostasis has been boosted by the discovery of multiprotein families of zinc transporters, and one of them - zinc transporter 8 (ZnT8) - is abundantly and specifically expressed in the pancreatic islets of Langerhans. In this review, we discuss the evidence for a physiological role of ZnT8 in the formation of zinc-insulin crystals, the physical form in which most insulin is stored in secretory granules. In addition, we cross-examine this information, collected in genetically modified mouse strains, to the knowledge that genetic variants of the human ZnT8 gene predispose to the onset of type 2 diabetes and that epitopes on the ZnT8 protein trigger autoimmunity in patients with type 1 diabetes. The overall conclusion is that we are still at the dawn of a complete understanding of how zinc homeostasis operates in normal β-cells and how abnormalities lead to β-cell dysfunction and diabetes. (J Diabetes Invest, doi: 10.1111/j.2040-1124.2012.00199.x, 2012).
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Affiliation(s)
- Katleen Lemaire
- Gene Expression Unit, Department of Molecular Cell Biology, KU Leuven, Leuven, Belgium
| | | | - Frans Schuit
- Gene Expression Unit, Department of Molecular Cell Biology, KU Leuven, Leuven, Belgium
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Qiu L, Na R, Xu R, Wang S, Sheng H, Wu W, Qu Y. Quantitative assessment of the effect of KCNJ11 gene polymorphism on the risk of type 2 diabetes. PLoS One 2014; 9:e93961. [PMID: 24710510 PMCID: PMC3977990 DOI: 10.1371/journal.pone.0093961] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2013] [Accepted: 02/19/2014] [Indexed: 12/31/2022] Open
Abstract
To clarify the role of potassium inwardly-rectifying-channel, subfamily-J, member 11 (KCNJ11) variation in susceptibility to type 2 diabetes (T2D), we performed a systematic meta-analysis to investigate the association between the KCNJ11 E23K polymorphism (rs5219) and the T2D in different genetic models. Databases including PubMed, Medline, EMBASE, and ISI Web of Science were searched to identify relevant studies. A total of 48 published studies involving 56,349 T2D cases, 81,800 controls, and 483 family trios were included in this meta-analysis. Overall, the E23K polymorphism was significantly associated with increased T2D risk with per-allele odds ratio (OR) of 1.12 (95% CI: 1.09-1.16; P<10-5). The summary OR for T2D was 1.09 (95% CI: 1.03-1.14; P<10-5), and 1.26 (95% CI: 1.17-1.35; P<10-5), for heterozygous and homozygous, respectively. Similar results were also detected under dominant and recessive genetic models. When stratified by ethnicity, significantly increased risks were found for the polymorphism in Caucasians and East Asians. However, no such associations were detected among Indian and other ethnic populations. Significant associations were also observed in the stratified analyses according to different mean BMI of cases and sample size. Although significant between study heterogeneity was identified, meta-regression analysis suggested that the BMI of controls significantly correlated with the magnitude of the genetic effect. The current meta-analysis demonstrated that a modest but statistically significant effect of the 23K allele of rs5219 polymorphism in susceptibility to T2D. But the contribution of its genetic variants to the epidemic of T2D in Indian and other ethnic populations appears to be relatively low.
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Affiliation(s)
- Ling Qiu
- Department of Geriatrics, Shanghai Xuhui Central Hospital, Shanghai Clinical Center, Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Risu Na
- Department of Endocrinology, Shanghai Xuhui Central Hospital, Shanghai Clinical Center, Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Rong Xu
- Department of Geriatrics, Shanghai Xuhui Central Hospital, Shanghai Clinical Center, Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Siyang Wang
- Department of Geriatrics, Shanghai Xuhui Central Hospital, Shanghai Clinical Center, Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Hongguang Sheng
- Department of Endocrinology, Shanghai Xuhui Central Hospital, Shanghai Clinical Center, Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Wanling Wu
- Department of Endocrinology, The Ninth People's Hospital Attach to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yi Qu
- Department of Geriatrics, Shanghai Xuhui Central Hospital, Shanghai Clinical Center, Chinese Academy of Sciences, Shanghai, People's Republic of China
- * E-mail:
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Yang S, Du Q. Association of GCK -30G> a polymorphism with gestational diabetes mellitus and type 2 diabetes mellitus risk: a meta-analysis involving 18 case-control studies. Genet Test Mol Biomarkers 2014; 18:289-98. [PMID: 24520939 DOI: 10.1089/gtmb.2013.0427] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE Several studies have examined the association between the GCK -30G>A polymorphism and the risk of gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM). However, inferences from these studies are hindered by their limited statistical power and conflicting results. The aim of this meta-analysis is to provide a relatively comprehensive picture of the association of the GCK -30G>A polymorphism with GDM and T2DM risk. METHODS A literature search for eligible studies published before August 15, 2013, was conducted in PubMed, Embase, Web of Science, Cochrane Library, and CNKI (China National Knowledge Infrastructure). Pooled odds ratios with their corresponding 95% confidence intervals were used to evaluate the strength of the association under a fixed- or random-effect model according to heterogeneity test results. All analyses were performed using Stata software, version 12.0. RESULTS Eighteen case-control studies from 17 published reports were included in this meta-analysis with a total of 2011 patients with GDM, 11,057 with T2DM, and 26,102 healthy controls. For GDM, the combined results showed that the risk allele of the -30G>A polymorphism may be associated with an increased risk of GDM. Stratified analyses showed that the magnitude of the effect was especially significant among whites, indicating ethnicity differences for GDM susceptibility. For T2DM, the pooled ORs were not significant in the overall population, although all the ORs >1 suggested an increased risk of T2DM for carriers of the A allele. However, whites seem to be significantly more susceptible to T2DM than Asians. CONCLUSION This meta-analysis indicated that the risk allele of the GCK -30G>A polymorphism may increase GDM and T2DM risk in whites, whereas additional studies are needed to confirm the effect of this polymorphism on both diseases in Asians and Africans.
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Affiliation(s)
- Sheng Yang
- Department of Endocrinology, Shengjing Hospital of China Medical University , Shenyang, China
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Faghih H, Khatami SR, Azarpira N, Foroughmand AM. SLC30A8 gene polymorphism (rs13266634 C/T) and type 2 diabetes mellitus in south Iranian population. Mol Biol Rep 2014; 41:2709-15. [DOI: 10.1007/s11033-014-3158-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Accepted: 01/13/2014] [Indexed: 10/25/2022]
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Use of net reclassification improvement (NRI) method confirms the utility of combined genetic risk score to predict type 2 diabetes. PLoS One 2013; 8:e83093. [PMID: 24376643 PMCID: PMC3869744 DOI: 10.1371/journal.pone.0083093] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Accepted: 11/03/2013] [Indexed: 11/28/2022] Open
Abstract
Background Recent genome-wide association studies (GWAS) identified more than 70 novel loci for type 2 diabetes (T2D), some of which have been widely replicated in Asian populations. In this study, we investigated their individual and combined effects on T2D in a Chinese population. Methodology We selected 14 single nucleotide polymorphisms (SNPs) in T2D genes relating to beta-cell function validated in Asian populations and genotyped them in 5882 Chinese T2D patients and 2569 healthy controls. A combined genetic score (CGS) was calculated by summing up the number of risk alleles or weighted by the effect size for each SNP under an additive genetic model. We tested for associations by either logistic or linear regression analysis for T2D and quantitative traits, respectively. The contribution of the CGS for predicting T2D risk was evaluated by receiver operating characteristic (ROC) analysis and net reclassification improvement (NRI). Results We observed consistent and significant associations of IGF2BP2, WFS1, CDKAL1, SLC30A8, CDKN2A/B, HHEX, TCF7L2 and KCNQ1 (8.5×10−18<P<8.5×10−3), as well as nominal associations of NOTCH2, JAZF1, KCNJ11 and HNF1B (0.05<P<0.1) with T2D risk, which yielded odds ratios ranging from 1.07 to 2.09. The 8 significant SNPs exhibited joint effect on increasing T2D risk, fasting plasma glucose and use of insulin therapy as well as reducing HOMA-β, BMI, waist circumference and younger age of diagnosis of T2D. The addition of CGS marginally increased AUC (2%) but significantly improved the predictive ability on T2D risk by 11.2% and 11.3% for unweighted and weighted CGS, respectively using the NRI approach (P<0.001). Conclusion In a Chinese population, the use of a CGS of 8 SNPs modestly but significantly improved its discriminative ability to predict T2D above and beyond that attributed to clinical risk factors (sex, age and BMI).
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Large scale meta-analyses of fasting plasma glucose raising variants in GCK, GCKR, MTNR1B and G6PC2 and their impacts on type 2 diabetes mellitus risk. PLoS One 2013; 8:e67665. [PMID: 23840762 PMCID: PMC3695948 DOI: 10.1371/journal.pone.0067665] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2013] [Accepted: 05/22/2013] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The evidence that the variants GCK rs1799884, GCKR rs780094, MTNR1B rs10830963 and G6PC2 rs560887, which are related to fasting plasma glucose levels, increase the risk of type 2 diabetes mellitus (T2DM) is contradictory. We therefore performed a meta-analysis to derive a more precise estimation of the association between these polymorphisms and T2DM. METHODS All the publications examining the associations of these variants with risk of T2DM were retrieved from the MEDLINE and EMBASE databases. Using the data from the retrieved articles, we computed summary estimates of the associations of the four variants with T2DM risk. We also examined the studies for heterogeneity, as well as for bias of the publications. RESULTS A total of 113,025 T2DM patients and 199,997 controls from 38 articles were included in the meta-analysis. Overall, the pooled results indicated that GCK (rs1799884), GCKR (rs780094) and MTNR1B (rs10830963) were significantly associated with T2DM susceptibility (OR, 1.04; 95%CI, 1.01-1.08; OR, 1.08; 95%CI, 1.05-1.12 and OR, 1.05; 95%CI, 1.02-1.08, respectively). After stratification by ethnicity, significant associations for the GCK, MTNR1B and G6PC2 variants were detected only in Caucasians (OR, 1.09; 95%CI, 1.02-1.16; OR, 1.10; 95%CI, 1.08-1.13 and OR, 0.97; 95%CI, 0.95-0.99, respectively), but not in Asians (OR, 1.02, 95% CI 0.98-1.05; OR, 1.01; 95%CI, 0.98-1.04 and OR, 1.12; 95%CI, 0.91-1.32, respectively). CONCLUSIONS Our meta-analyses demonstrated that GCKR rs780094 variant confers high cross-ethnicity risk for the development of T2DM, while significant associations between GCK, MTNR1B and G6PC2 variants and T2DM risk are limited to Caucasians.
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Maranghi M, Prudente S, D'Erasmo L, Morini E, Ciociola E, Coletta P, Verrienti A, Arciello S, Copetti M, Pellegrini F, Santini SA, Morano S, Filetti S, Trischitta V. The ectonucleotide pyrophosphatase phosphodiesterase 1 (ENPP1) K121Q polymorphism modulates the beneficial effect of weight loss on fasting glucose in non-diabetic individuals. Nutr Metab Cardiovasc Dis 2013; 23:505-510. [PMID: 22402064 DOI: 10.1016/j.numecd.2011.11.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Revised: 10/26/2011] [Accepted: 11/02/2011] [Indexed: 01/19/2023]
Abstract
BACKGROUND AND AIMS Several studies have reported that the ectonucleotide pyrophosphatase phosphodiesterase 1 (ENPP1) K121Q polymorphism (rs1044498) interacts with increased adiposity in affecting glucose homeostasis and insulin sensitivity. Conversely, one would expect that the amelioration of glucose homeostasis observed after weight loss is modulated by the ENPP1 K121Q polymorphism. The aim of our study was to test such hypothesis, in non-diabetic overweight-obese individuals. METHODS AND RESULTS Two hundred eleven non-diabetic overweight-obese individuals were studied. Body mass index (BMI), fasting glucose, homeostasis model assessment of insulin resistance (HOMA-IR index) and lipid levels were obtained before and after 6-week lifestyle intervention (LI; diet and exercise) and their changes calculated as baseline minus 6-week values. LI decreased BMI, glucose, HOMA-IR and triglyceride levels (p < 0.001 for all). No difference across genotype groups (160 KK and 51 KQ or QQ - named as XQ - individuals) was observed in these changes. In a multivariate model, BMI changes predicted fasting glucose changes (β = 0.139 mmol/L (2.50 mg/dl) for 1 unit BMI change, p = 0.005). This correlation was not significant among KK individuals (β = 0.082; p = 0.15), while much steeper and highly significant among XQ individuals (β = 0.336; p = 0.00008) (p-value for Q121-by-weight loss interaction = 0.047). CONCLUSION Individuals carrying the ENPP1 Q121 variant are highly responsive to the effect of weight loss on fasting glucose. This reinforces the previously suggested hypothesis that the Q121 variant interacts with adiposity in modulating glucose homeostasis.
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Affiliation(s)
- M Maranghi
- Department of Internal Medicine and Medical Specialties, Sapienza University of Rome, Rome, Italy.
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Bonnefond A, Yengo L, Philippe J, Dechaume A, Ezzidi I, Vaillant E, Gjesing AP, Andersson EA, Czernichow S, Hercberg S, Hadjadj S, Charpentier G, Lantieri O, Balkau B, Marre M, Pedersen O, Hansen T, Froguel P, Vaxillaire M. Reassessment of the putative role of BLK-p.A71T loss-of-function mutation in MODY and type 2 diabetes. Diabetologia 2013; 56:492-6. [PMID: 23224494 DOI: 10.1007/s00125-012-2794-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2012] [Accepted: 11/13/2012] [Indexed: 12/31/2022]
Abstract
AIMS/HYPOTHESIS MODY is believed to be caused by at least 13 different genes. Five rare mutations at the BLK locus, including only one non-synonymous p.A71T variant, were reported to segregate with diabetes in three MODY families. The p.A71T mutation was shown to abolish the enhancing effect of BLK on insulin content and secretion from pancreatic beta cell lines. Here, we reassessed the contribution of BLK to MODY and tested the effect of BLK-p.A71T on type 2 diabetes risk and variations in related traits. METHODS BLK was sequenced in 64 unelucidated MODY samples. The BLK-p.A71T variant was genotyped in a French type 2 diabetes case-control study including 4,901 cases and 4,280 controls, and in the DESIR (Data from an Epidemiological Study on the Insulin Resistance Syndrome) and SUVIMAX (Supplementation en Vitamines et Mineraux Antioxydants) population-based cohorts (n = 6,905). The variant effects were assessed by logistic and linear regression models. RESULTS No rare non-synonymous BLK mutations were found in the MODY patients. The BLK p.A71T mutation was present in 52 normoglycaemic individuals, making it very unlikely that this loss-of-function mutation causes highly penetrant MODY. We found a nominal association between this variant and increased type 2 diabetes risk, with an enrichment of the mutation in the obese diabetic patients, although no significant association with BMI was identified. CONCLUSIONS/INTERPRETATION No mutation in BLK was found in our MODY cohort. From our findings, the BLK-p.A71T mutation may weakly influence type 2 diabetes risk in the context of obesity; however, this will require further validation.
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Affiliation(s)
- A Bonnefond
- CNRS-UMR-8199, Lille Pasteur Institute, 1 rue du Professeur Calmette, 59019 Lille Cedex, France
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Genetic polymorphism of glucokinase on the risk of type 2 diabetes and impaired glucose regulation: evidence based on 298,468 subjects. PLoS One 2013; 8:e55727. [PMID: 23441155 PMCID: PMC3575415 DOI: 10.1371/journal.pone.0055727] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2012] [Accepted: 12/29/2012] [Indexed: 12/23/2022] Open
Abstract
Background Glucokinase (GCK) is the key glucose phosphorylation enzyme which has attracted considerable attention as a candidate gene for type 2 diabetes (T2D) based on its enzyme function as the first rate-limiting step in the glycolysis pathway and regulates glucose-stimulated insulin secretion. In the past decade, the relationship between GCK and T2D has been reported in various ethnic groups. To derive a more precise estimation of the relationship and the effect of factors that might modify the risk, we performed this meta-analysis. Methods Databases including Pubmed, EMBASE, Web of Science and China National Knowledge Infrastructure (CNKI) were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. Results A total of 24 articles involving 88, 229 cases and 210, 239 controls were included. An overall random-effects per-allele OR of 1.06 (95% CI: 1.03–1.09; P<10−4) was found for the GCK −30G>A polymorphism. Significant results were also observed using dominant or recessive genetic models. In the subgroup analyses by ethnicity, significant results were found in Caucasians; whereas no significant associations were found among Asians. In addition, we found that the −30G>A polymorphism is a risk factor associated with increased impaired glucose regulation susceptibility. Besides, −30G>A homozygous was found to be significantly associated with increased fasting plasma glucose level with weighted mean difference (WMD) of 0.15 (95%: 0.05–0.24, P = 0.001) compared with G/G genotype. Conclusions This meta-analysis demonstrated that the −30G>A polymorphism of GCK is a risk factor associated with increased T2D susceptibility, but these associations vary in different ethnic populations.
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