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Alshahrani A, Aljada A, Masood A, Mujammami M, Alfadda AA, Musambil M, Alanazi IO, Al Dubayee M, Abdel Rahman AM, Benabdelkamel H. Proteomic Profiling Identifies Distinct Regulation of Proteins in Obese Diabetic Patients Treated with Metformin. Pharmaceuticals (Basel) 2023; 16:1345. [PMID: 37895816 PMCID: PMC10609691 DOI: 10.3390/ph16101345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/12/2023] [Accepted: 09/20/2023] [Indexed: 10/29/2023] Open
Abstract
Background: Obesity and type 2 diabetes mellitus (T2DM) are characterized by underlying low-grade chronic inflammation. Metformin has been used as the first line of therapy in T2DM as it decreases hepatic glucose production and glucose intestinal absorption, enhances insulin sensitivity and weight loss, and is known to ameliorate inflammation. The mechanisms through which metformin exerts its effect remain unclear. Proteomics has emerged as a unique approach to explore the biological changes associated with diseases, including T2DM. It provides insight into the circulating biomarkers/mediators which could be utilized for disease screening, diagnosis, and prognosis. Methods: This study evaluated the proteomic changes in obese (Ob), obese diabetics (OD), and obese diabetic patients on metformin (ODM) using a 2D DIGE MALDI-TOF mass spectrometric approach. Results: Significant changes in sixteen plasma proteins (15 up and 1 down, ANOVA, p ≤ 0.05; fold change ≥ 1.5) were observed in the ODM group when compared to the Ob and OD groups. Bioinformatic network pathway analysis revealed that the majority of these altered plasma proteins are involved in distinct pathways involving acute-phase response, inflammation, and oxidative response and were centered around HNF4A, ERK, JNK, and insulin signaling pathways. Conclusions: Our study provides important information about the possible biomarkers altered by metformin treatment in obese patients with and without T2DM. These altered plasma proteins are involved in distinct pathways involving acute-phase response, inflammation, and oxidative response and were centered around HNF4A, ERK, JNK, and insulin signaling pathways. The presented proteomic profiling approach may help in identifying potential biomarkers/mediators affected by metformin treatment in T2DM and inform the understanding of metformin's mechanisms of action.
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Affiliation(s)
- Awad Alshahrani
- Department of Medicine, Ministry of National Guard Health Affairs, Riyadh 11426, Saudi Arabia; (A.A.); (M.A.D.)
- King Abdullah International Medical Research Center, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11481, Saudi Arabia
| | - Ahmad Aljada
- Department of Biochemistry and Molecular Medicine, College of Medicine, Al Faisal University, Riyadh 11533, Saudi Arabia;
| | - Afshan Masood
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, P.O. Box 2925 (98), Riyadh 11461, Saudi Arabia; (A.M.); (A.A.A.); (M.M.)
| | - Muhammad Mujammami
- Endocrinology and Diabetes Unit, Department of Medicine, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia;
- University Diabetes Center, King Saud University Medical City, King Saud University, Riyadh 11461, Saudi Arabia
| | - Assim A. Alfadda
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, P.O. Box 2925 (98), Riyadh 11461, Saudi Arabia; (A.M.); (A.A.A.); (M.M.)
- Department of Medicine, College of Medicine and King Saud Medical City, King Saud University, P.O. Box 2925 (98), Riyadh 11461, Saudi Arabia
| | - Mohthash Musambil
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, P.O. Box 2925 (98), Riyadh 11461, Saudi Arabia; (A.M.); (A.A.A.); (M.M.)
| | - Ibrahim O. Alanazi
- Healthy Aging Research Institute, Health Sector, King Abdulaziz City for Science and Technology (KACST), P.O. Box 6086, Riyadh 11442, Saudi Arabia;
| | - Mohammed Al Dubayee
- Department of Medicine, Ministry of National Guard Health Affairs, Riyadh 11426, Saudi Arabia; (A.A.); (M.A.D.)
- King Abdullah International Medical Research Center, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11481, Saudi Arabia
| | - Anas M. Abdel Rahman
- Department of Biochemistry and Molecular Medicine, College of Medicine, Al Faisal University, Riyadh 11533, Saudi Arabia;
- Metabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh 11564, Saudi Arabia
| | - Hicham Benabdelkamel
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, P.O. Box 2925 (98), Riyadh 11461, Saudi Arabia; (A.M.); (A.A.A.); (M.M.)
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Guo H, Wu H, Li Z. The Pathogenesis of Diabetes. Int J Mol Sci 2023; 24:ijms24086978. [PMID: 37108143 PMCID: PMC10139109 DOI: 10.3390/ijms24086978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/30/2023] [Accepted: 04/05/2023] [Indexed: 04/29/2023] Open
Abstract
Diabetes is the most common metabolic disorder, with an extremely serious effect on health systems worldwide. It has become a severe, chronic, non-communicable disease after cardio-cerebrovascular diseases. Currently, 90% of diabetic patients suffer from type 2 diabetes. Hyperglycemia is the main hallmark of diabetes. The function of pancreatic cells gradually declines before the onset of clinical hyperglycemia. Understanding the molecular processes involved in the development of diabetes can provide clinical care with much-needed updates. This review provides the current global state of diabetes, the mechanisms involved in glucose homeostasis and diabetic insulin resistance, and the long-chain non-coding RNA (lncRNA) associated with diabetes.
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Affiliation(s)
- Huiqin Guo
- Institute of Biotechnology, The Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
| | - Haili Wu
- College of Life Science, Shanxi University, Taiyuan 030006, China
| | - Zhuoyu Li
- Institute of Biotechnology, The Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
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3
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Kumon H, Miyake Y, Yoshino Y, Iga JI, Tanaka K, Senba H, Kimura E, Higaki T, Matsuura B, Kawamoto R, Ueno SI. Functional AGXT2 SNP rs37369 Variant Is a Risk Factor for Diabetes Mellitus: Baseline Data From the Aidai Cohort Study in Japan. Can J Diabetes 2022; 46:829-834. [PMID: 35961823 DOI: 10.1016/j.jcjd.2022.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 05/16/2022] [Accepted: 06/13/2022] [Indexed: 01/06/2023]
Abstract
OBJECTIVES The relationship between alanine-glyoxylate aminotransferase 2 (AGXT2) single-nucleotide polymorphisms (SNPs) and diabetes mellitus (DM) has not been investigated. Therefore, we performed a case-control study to examine this relationship. METHODS The study subjects included 2,390 Japanese men and women aged 34 to 88 years. In total, 190 cases were defined as having a fasting plasma glucose level ≥126 mg/dL, having a glycated hemoglobin ≥6.5% or currently using diabetic medication. The 2,200 remaining participants served as control subjects. RESULTS Compared with study subjects with the CC genotype of AGXT2 SNP rs37369, those with the TT, but not CT, genotype had a significantly increased risk of DM: the adjusted odds ratio (OR) for the TT genotype was 1.83 (95% confidence interval [CI], 1.04 to 3.47). AGXT2 SNPs rs37370 and rs180749 were not significantly associated with the risk of DM. The CTA haplotype of rs37370, rs37369 and rs180749 was significantly positively associated with the risk of DM (crude OR, 1.25; 95% CI, 1.01 to 1.56), whereas the CCA haplotype was significantly inversely related to DM (crude OR, 0.53; 95% CI, 0.27 to 0.95). The multiplicative interaction between AGXT2 SNP rs37369 and smoking status with regard to the risk of DM was not significant (p=0.32 for interaction). CONCLUSIONS This is the first study to show significant associations between AGXT2 SNP rs37369, the CTA haplotype, and the CCA haplotype and DM. No interaction with regard to the risk of DM was observed between rs37369 and smoking.
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Affiliation(s)
- Hiroshi Kumon
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Yoshihiro Miyake
- Department of Epidemiology and Public Health, Ehime University Graduate School of Medicine, Ehime, Japan; Integrated Medical and Agricultural School of Public Health, Ehime University, Ehime, Japan; Research Promotion Unit, Translation Research Center, Ehime University Hospital, Ehime, Japan; Center for Data Science, Ehime University, Ehime, Japan
| | - Yuta Yoshino
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Jun-Ichi Iga
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Ehime, Japan.
| | - Keiko Tanaka
- Department of Epidemiology and Public Health, Ehime University Graduate School of Medicine, Ehime, Japan; Integrated Medical and Agricultural School of Public Health, Ehime University, Ehime, Japan; Research Promotion Unit, Translation Research Center, Ehime University Hospital, Ehime, Japan; Center for Data Science, Ehime University, Ehime, Japan
| | - Hidenori Senba
- Department of Epidemiology and Public Health, Ehime University Graduate School of Medicine, Ehime, Japan; Department of Internal Medicine, Matsuyama Shimin Hospital, Ehime, Japan
| | - Eizen Kimura
- Integrated Medical and Agricultural School of Public Health, Ehime University, Ehime, Japan; Center for Data Science, Ehime University, Ehime, Japan; Department of Medical Informatics, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Takashi Higaki
- Department of Regional Pediatrics and Perinatology, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Bunzo Matsuura
- Department of Lifestyle-Related Medicine and Endocrinology, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Ryuichi Kawamoto
- Integrated Medical and Agricultural School of Public Health, Ehime University, Ehime, Japan; Department of Community Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Shu-Ichi Ueno
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Ehime, Japan; Integrated Medical and Agricultural School of Public Health, Ehime University, Ehime, Japan
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Bonetti S, Zusi C, Rinaldi E, Boselli ML, Csermely A, Malerba G, Trabetti E, Bonora E, Bonadonna R, Trombetta M. Role of monogenic diabetes genes on beta cell function in Italian patients with newly diagnosed type 2 diabetes. The Verona Newly Diagnosed Type 2 Diabetes Study (VNDS) 13. DIABETES & METABOLISM 2022; 48:101323. [DOI: 10.1016/j.diabet.2022.101323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/27/2021] [Accepted: 11/25/2021] [Indexed: 10/19/2022]
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5
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Barlow JP, Karstoft K, Vigelsø A, Gram M, Helge JW, Dela F, Pappan K, O'Neil D, Dunn W, Solomon TPJ. Beta-aminoisobutyric acid is released by contracting human skeletal muscle and lowers insulin release from INS-1 832/3 cells by mediating mitochondrial energy metabolism. Metabol Open 2020; 7:100053. [PMID: 32924003 PMCID: PMC7479356 DOI: 10.1016/j.metop.2020.100053] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/12/2020] [Accepted: 08/13/2020] [Indexed: 01/01/2023] Open
Abstract
Aims/hypothesis This study aimed to examine if beta-aminoisobutyric acid (BAIBA) is (i) secreted by skeletal muscle in humans during exercise, (ii) associated with insulin secretory function in vivo, and (iii) directly linked with acute glucose-mediated insulin release by pancreatic beta cells in vitro. Methods Following 2-weeks of single-leg immobilization, plasma BAIBA concentrations were measured in the brachial artery and the femoral veins of each leg in healthy male subjects, at rest and during two-legged dynamic knee-extensor exercise. During a 2-h hyperglycamic clamp, insulin secretory function and levels of plasma BAIBA were assessed in non-diabetic individuals, non-diabetic individuals following 24-h hyperglycemia and patients with type 2 diabetes. Direct effects of BAIBA on acute glucose-mediated insulin release were probed in INS-1832/3 cells under normal and ‘diabetes-like’ conditions. Finally, the effect of BAIBA on mitochondrial function was assessed in INS-1832/3 cells using extracellular flux analysis. Results (i) BAIBA is released from skeletal muscle at rest and during exercise under healthy conditions but is suppressed during exercise following leg immobilization, (ii) plasma BAIBA concentrations inversely associate with insulin secretory function in humans, (iii) BAIBA lowers mitochondrial energy metabolism in INS-1 832/3 cells in parallel with decreased insulin secretion Conclusion/interpretation: BAIBA is a myokine released by skeletal muscle during exercise and indepedantly alters the triggering pathway of insulin secretion in cultured INS-1832/3 cells.
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Affiliation(s)
- Jonathan P Barlow
- School of Sport, Exercise, and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, UK.,Mitochondrial Profiling Centre, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, UK
| | - Kristian Karstoft
- Centre of Inflammation and Metabolism, Rigshospitalet, Copenhagen, Denmark.,Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
| | - Andreas Vigelsø
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Martin Gram
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jørn W Helge
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Flemming Dela
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Geriatrics, Bispebjerg-Frederiksberg University Hospital, Bispebjerg, Denmark
| | | | - Donna O'Neil
- School of Biosciences and Phenome Centre Birmingham, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, UK
| | - Warwick Dunn
- School of Biosciences and Phenome Centre Birmingham, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, UK.,Institute for Metabolism and Systems Research, College of Medical Sciences, University of Birmingham, Edgbaston, UK
| | - Thomas P J Solomon
- School of Sport, Exercise, and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, UK.,Institute for Metabolism and Systems Research, College of Medical Sciences, University of Birmingham, Edgbaston, UK
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6
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Azizi SM, Sarhangi N, Afshari M, Abbasi D, Aghaei Meybodi HR, Hasanzad M. Association Analysis of the HNF4A Common Genetic Variants with Type 2 Diabetes Mellitus Risk. INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE 2019; 8:56-62. [PMID: 32351910 PMCID: PMC7175614 DOI: 10.22088/ijmcm.bums.8.2.56] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 08/20/2019] [Indexed: 12/02/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is a complex disease that involves a wide range of genetic and environmental factors. The hepatocyte nuclear factor (HNF4A) carries out hepatic gluconeogenesis regulation and insulin secretion crucially, and the corresponding gene was shown to be linked to T2DM in several studies. The aim of the present study was to evaluate the association between HNF4A genetic variants (rs1884613 and rs1884614) and T2DM risk in a group of Iranian patients. This case-control study included 100 patients with T2DM and 100 control subjects. Genotyping of two single nucleotide polymorphisms (SNPs) (rs1884613 and rs1884614) of HNF4A was performed using the sequencing method. There was no statistically significant difference for allele and genotype distribution of the HNF4A common variants (rs1884613 and rs1884614) between subjects with and without T2DM (P=0.9 and P=0.9, respectively). Regarding diabetic complications, although the presence of mentioned polymorphisms increased the odds of developing ophthalmic complications and reduction of the odds of renal complications among diabetic patients, the mentioned risk was non- significant and cannot be generalized to the whole population. It seems that rs1884613 and rs1884614 polymorphisms are not associated with T2DM or its renal and ophthalmic complications. To investigate the precise influence of these polymorphisms, prospective cohorts with larger sample sizes are required.
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Affiliation(s)
- Seyedeh Mina Azizi
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Negar Sarhangi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Afshari
- Department of Community Medicine, Zabol University of Medical Sciences, Zabol, Iran
| | | | - Hamid Reza Aghaei Meybodi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mandana Hasanzad
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.,Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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7
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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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8
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Liu CC, Lee YC, Huang SP, Cheng KH, Hsieh TJ, Huang TY, Lee CH, Geng JH, Li CC, Wu WJ. Hepatocyte Nuclear Factor-4α P2 Promoter Variants Are Associated With the Risk of Metabolic Syndrome and Testosterone Deficiency in Aging Taiwanese Men. J Sex Med 2018; 15:1527-1536. [DOI: 10.1016/j.jsxm.2018.09.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 09/02/2018] [Accepted: 09/18/2018] [Indexed: 01/06/2023]
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9
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Bi Y, Shi X, Zhu J, Guan X, Garbacz WG, Huang Y, Gao L, Yan J, Xu M, Ren S, Ren S, Liu Y, Ma X, Li S, Xie W. Regulation of Cholesterol Sulfotransferase SULT2B1b by Hepatocyte Nuclear Factor 4α Constitutes a Negative Feedback Control of Hepatic Gluconeogenesis. Mol Cell Biol 2018; 38:e00654-17. [PMID: 29378829 PMCID: PMC5854833 DOI: 10.1128/mcb.00654-17] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 01/04/2018] [Accepted: 01/18/2018] [Indexed: 01/10/2023] Open
Abstract
The cholesterol sulfotransferase SULT2B1b converts cholesterol to cholesterol sulfate (CS). We previously reported that SULT2B1b inhibits hepatic gluconeogenesis by antagonizing the gluconeogenic activity of hepatocyte nuclear factor 4α (HNF4α). In this study, we showed that the SULT2B1b gene is a transcriptional target of HNF4α, which led to our hypothesis that the induction of SULT2B1b by HNF4α represents a negative feedback to limit the gluconeogenic activity of HNF4α. Indeed, downregulation of Sult2B1b enhanced the gluconeogenic activity of HNF4α, which may have been accounted for by the increased acetylation of HNF4α as a result of decreased expression of the HNF4α deacetylase sirtuin 1 (Sirt1). The expression of Sult2B1b was also induced by HNF4α upon fasting, and the Sult2B1b null (Sult2B1b-/-) mice showed increased gluconeogenic gene expression and an elevated fasting glucose level, suggesting that SULT2B1b also plays a restrictive role in HNF4α-mediated fasting-responsive gluconeogenesis. We also developed thiocholesterol, a hydrolysis-resistant derivative of CS, which showed superior activity to that of the native CS in inhibiting gluconeogenesis and improving insulin sensitivity in high-fat-diet-induced diabetic mice. We conclude that the HNF4α-SULT2B1b-CS axis represents a key endogenous mechanism to prevent uncontrolled gluconeogenesis. Thiocholesterol may be used as a therapeutic agent to manage hyperglycemia.
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Affiliation(s)
- Yuhan Bi
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Xiongjie Shi
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Junjie Zhu
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Xiudong Guan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wojciech G Garbacz
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yixian Huang
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Li Gao
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Gastroenterology, Peking University People's Hospital, Beijing, China
| | - Jiong Yan
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Meishu Xu
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Songrong Ren
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Shunlin Ren
- Department of Medicine, Virginia Commonwealth University, Veterans Affairs McGuire Medical Center, Richmond, Virginia, USA
| | - Yulan Liu
- Department of Gastroenterology, Peking University People's Hospital, Beijing, China
| | - Xiaochao Ma
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Song Li
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Wen Xie
- Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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10
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Zarkoob H, Lewinsky S, Almgren P, Melander O, Fakhrai-Rad H. Utilization of genetic data can improve the prediction of type 2 diabetes incidence in a Swedish cohort. PLoS One 2017; 12:e0180180. [PMID: 28700623 PMCID: PMC5507496 DOI: 10.1371/journal.pone.0180180] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 06/12/2017] [Indexed: 01/21/2023] Open
Abstract
The aim of this study was to measure the impact of genetic data in improving the prediction of type 2 diabetes (T2D) in the Malmö Diet and Cancer Study cohort. The current study was performed in 3,426 Swedish individuals and utilizes of a set of genetic and environmental risk data. We first validated our environmental risk model by comparing it to both the Finnish Diabetes Risk Score and the T2D risk model derived from the Framingham Offspring Study. The area under the curve (AUC) for our environmental model was 0.72 [95% CI, 0.69–0.74], which was significantly better than both the Finnish (0.64 [95% CI, 0.61–0.66], p-value < 1 x 10−4) and Framingham (0.69 [95% CI, 0.66–0.71], p-value = 0.0017) risk scores. We then verified that the genetic data has a statistically significant positive correlation with incidence of T2D in the studied population. We also verified that adding genetic data slightly but statistically increased the AUC of a model based only on environmental risk factors (RFs, AUC shift +1.0% from 0.72 to 0.73, p-value = 0.042). To study the dependence of the results on the environmental RFs, we divided the population into two equally sized risk groups based only on their environmental risk and repeated the same analysis within each subpopulation. While there is a statistically significant positive correlation between the genetic data and incidence of T2D in both environmental risk categories, the positive shift in the AUC remains statistically significant only in the category with the lower environmental risk. These results demonstrate that genetic data can be used to increase the accuracy of T2D prediction. Also, the data suggests that genetic data is more valuable in improving T2D prediction in populations with lower environmental risk. This suggests that the impact of genetic data depends on the environmental risk of the studied population and thus genetic association studies should be performed in light of the underlying environmental risk of the population.
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Affiliation(s)
- Hadi Zarkoob
- BaseHealth Inc., Sunnyvale, California, United States of America
| | - Sarah Lewinsky
- BaseHealth Inc., Sunnyvale, California, United States of America
| | - Peter Almgren
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Malmö, Sweden
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11
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Burdin DV, Kolobov AA, Brocker C, Soshnev AA, Samusik N, Demyanov AV, Brilloff S, Jarzebska N, Martens-Lobenhoffer J, Mieth M, Maas R, Bornstein SR, Bode-Böger SM, Gonzalez F, Weiss N, Rodionov RN. Diabetes-linked transcription factor HNF4α regulates metabolism of endogenous methylarginines and β-aminoisobutyric acid by controlling expression of alanine-glyoxylate aminotransferase 2. Sci Rep 2016; 6:35503. [PMID: 27752141 PMCID: PMC5067591 DOI: 10.1038/srep35503] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 09/30/2016] [Indexed: 02/07/2023] Open
Abstract
Elevated levels of circulating asymmetric and symmetric dimethylarginines (ADMA and SDMA) predict and potentially contribute to end organ damage in cardiovascular diseases. Alanine-glyoxylate aminotransferase 2 (AGXT2) regulates systemic levels of ADMA and SDMA, and also of beta-aminoisobutyric acid (BAIB)-a modulator of lipid metabolism. We identified a putative binding site for hepatic nuclear factor 4 α (HNF4α) in AGXT2 promoter sequence. In a luciferase reporter assay we found a 75% decrease in activity of Agxt2 core promoter after disruption of the HNF4α binding site. Direct binding of HNF4α to Agxt2 promoter was confirmed by chromatin immunoprecipitation assay. siRNA-mediated knockdown of Hnf4a led to an almost 50% reduction in Agxt2 mRNA levels in Hepa 1–6 cells. Liver-specific Hnf4a knockout mice exhibited a 90% decrease in liver Agxt2 expression and activity, and elevated plasma levels of ADMA, SDMA and BAIB, compared to wild-type littermates. Thus we identified HNF4α as a major regulator of Agxt2 expression. Considering a strong association between human HNF4A polymorphisms and increased risk of type 2 diabetes our current findings suggest that downregulation of AGXT2 and subsequent impairment in metabolism of dimethylarginines and BAIB caused by HNF4α deficiency might contribute to development of cardiovascular complications in diabetic patients.
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Affiliation(s)
- Dmitry V Burdin
- Department of Physiology, Saint Petersburg State University, 199034 Saint Petersburg, Russia
| | - Alexey A Kolobov
- Department of Biochemistry, Saint Petersburg State University, 199034 Saint Petersburg, Russia
| | - Chad Brocker
- National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | | | - Nikolay Samusik
- Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Anton V Demyanov
- Institute of Highly Pure Biopreparations, 197110 Saint Petersburg, Russia
| | - Silke Brilloff
- University Center for Vascular Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Natalia Jarzebska
- University Center for Vascular Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | | | - Maren Mieth
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Renke Maas
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Stefan R Bornstein
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Stefanie M Bode-Böger
- Institute of Clinical Pharmacology, Otto-von-Guericke University, 39120 Magdeburg, Germany
| | - Frank Gonzalez
- National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Norbert Weiss
- University Center for Vascular Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Roman N Rodionov
- University Center for Vascular Medicine, Technische Universität Dresden, 01307 Dresden, Germany
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Ma R, Yang H, Li J, Yang X, Chen X, Hu Y, Wang Z, Xue L, Zhou W. Association of HNF4α gene polymorphisms with susceptibility to type 2 diabetes. Mol Med Rep 2016; 13:2241-6. [PMID: 26781905 DOI: 10.3892/mmr.2016.4780] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Accepted: 11/06/2015] [Indexed: 11/06/2022] Open
Abstract
The present study aimed to explore the association between single nucleotide polymorphisms (SNPs) in the hepatocyte nuclear factor‑4α (HNF‑4α) gene and the incidence of type 2 diabetes in the Chinese Bai population in Dali city, China. The polymerase chain reaction‑restriction fragment length polymorphism method was used to analyze four SNPs (rs4810424, rs1884613, rs1884614 and rs2144908) in the HNF‑4α gene in 44 patients with type 2 diabetes and 87 healthy controls in Chinese Bai individuals. The haploid type was subsequently built to assess its association with the incidence of type 2 diabetes in the Bai population in Dali city. No significant differences were observed between the genotype and allele frequencies of the four SNPs in the HNF‑4α gene and type 2 diabetes mellitus (P>0.05). However, the frequency of haplotype, CCTA, built by rs4810424, rs1884613, rs1884614 and rs2144908 was significantly higher in the type 2 diabetes mellitus group compared with the control group (χ2=8.34, P=0.004). The four polymorphisms, rs4810424, rs1884613, rs1884614 and rs2144908, in the HNF‑4α gene were not the susceptible loci for type 2 diabetes in the Bai population of Dali city, however, the haplotype, CCTA, built from the four SNPs may increase the risk of type 2 diabetes in this population.
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Affiliation(s)
- Run Ma
- Clinical Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China
| | - Hongying Yang
- Clinical Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China
| | - Jingfang Li
- Clinical Laboratory, Cancer Hospital of Yunnan Province, Kunming, Yunnan 650118, P.R. China
| | - Xu Yang
- Clinical Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China
| | - Xiaohong Chen
- Clinical Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China
| | - Ying Hu
- Clinical Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China
| | - Zhou Wang
- Clinical Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China
| | - Li Xue
- Clinical Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China
| | - Wei Zhou
- Department of Ophthalmology, The Third People's Hospital of Yunnan Province, Kunming, Yunnan 650011, P.R. China
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Prediabetes is associated with HNF-4 α P2 promoter polymorphism rs1884613: a case-control study in Han Chinese population and an updated meta-analysis. DISEASE MARKERS 2014; 2014:231736. [PMID: 25400315 PMCID: PMC4226192 DOI: 10.1155/2014/231736] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2014] [Accepted: 09/11/2014] [Indexed: 11/18/2022]
Abstract
BACKGROUND Controversy remains for the association between hepatocyte nuclear factor 4α (HNF-4α) P2 promoter polymorphism rs1884613 and type 2 diabetes (T2D). There was no association test of this polymorphism with prediabetes and T2D in the Chinese population. Moreover, an updated meta-analysis in various ethnic groups is needed to establish the contribution of rs1884613 to T2D risk. METHODS Using the Sequenom MassARRAY platform approach, we genotyped rs1884613 of HNF-4α in the P2 promoter region among 490 T2D patients, 471 individuals with prediabetes, and 575 healthy controls. All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province. Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk. RESULTS Polymorphism rs1884613 was associated with genetic susceptibility to prediabetes in the whole samples (OR = 1.40, 95% CI = 1.16-1.68, P = 0.0001) and the female subgrouped samples (OR = 1.48, 95% CI = 1.14-1.92, P = 0.003) after adjusting for age and body mass index (BMI). In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis. CONCLUSIONS Our results suggest that rs1884613 contributes to susceptibility to prediabetes, whereas this polymorphism may not play an important role in the development of T2D.
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Colclough K, Bellanne-Chantelot C, Saint-Martin C, Flanagan SE, Ellard S. Mutations in the genes encoding the transcription factors hepatocyte nuclear factor 1 alpha and 4 alpha in maturity-onset diabetes of the young and hyperinsulinemic hypoglycemia. Hum Mutat 2013; 34:669-85. [PMID: 23348805 DOI: 10.1002/humu.22279] [Citation(s) in RCA: 141] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2012] [Accepted: 01/08/2013] [Indexed: 12/16/2022]
Abstract
Maturity-onset diabetes of the young (MODY) is a monogenic disorder characterized by autosomal dominant inheritance of young-onset (typically <25 years), noninsulin-dependent diabetes due to defective insulin secretion. MODY is both clinically and genetically heterogeneous with mutations in at least 10 genes. Mutations in the HNF1A gene encoding hepatocyte nuclear factor-1 alpha are the most common cause of MODY in most adult populations studied. The number of different pathogenic HNF1A mutations totals 414 in 1,247 families. Mutations in the HNF4A gene encoding hepatocyte nuclear factor-4 alpha are a rarer cause of MODY with 103 different mutations reported in 173 families to date. Sensitivity to treatment with sulfonylurea tablets is a feature of both HNF1A and HNF4A mutations. The HNF4A MODY phenotype has been expanded by the reports of macrosomia in ∼50% of babies, and more rarely, neonatal hyperinsulinemic hypoglycemia. The identification of an HNF1A or HNF4A gene mutation has important implications for clinical management in diabetes and pregnancy, but MODY is significantly underdiagnosed. Current research is focused on identifying biomarkers and developing probability models to identify those patients most likely to have MODY, until next generation sequencing technology enables cost-effective gene analysis for all patients with young onset diabetes.
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Affiliation(s)
- Kevin Colclough
- Department of Molecular Genetics, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
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Abstract
Because type 2 diabetes (T2D) is highly familial, there has been a concentrated effort to uncover the genetic basis of T2D worldwide over the last decade. In East Asians, T2D is experiencing a rapidly rising prevalence that is characterized by a relatively lower body mass index, as compared with that in Europeans. To date, at least 15 convincing T2D loci have been identified from large-scale genome-wide association studies and meta-analyses in East Asians. Many of these are likely responsible for pancreatic β cell function, as indicated in studies from Europeans. Many T2D loci have been replicated across the ethnic groups. There are, however, substantial interethnic differences in frequency and effect size of these risk alleles. Despite accumulating genetic information on T2D, there are still limitations in our ability to explain the rapidly rising prevalence and lean phenotype of disease observed in East Asians, suggesting that more extensive work using diverse research strategies is needed in the future.
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Affiliation(s)
- Yoon Shin Cho
- Department of Biomedical Science, Hallym University, Gangwon-do, Chuncheon, 200-702, Republic of Korea.
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Ho JSK, Germer S, Tam CHT, So WY, Martin M, Ma RCW, Chan JCN, Ng MCY. Association of the PPARG Pro12Ala polymorphism with type 2 diabetes and incident coronary heart disease in a Hong Kong Chinese population. Diabetes Res Clin Pract 2012; 97:483-91. [PMID: 22515931 DOI: 10.1016/j.diabres.2012.03.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2012] [Revised: 03/04/2012] [Accepted: 03/15/2012] [Indexed: 11/18/2022]
Abstract
AIMS We examined the risk association between single nucleotide polymorphisms (SNPs) in eleven candidate genes with type 2 diabetes (T2D). T2D-associated polymorphisms were also examined for prediction of incident CHD. METHODS 113 tagging SNPs were genotyped in stage 1 (467 T2D cases, 290 controls), and 15 SNPs were analyzed in the final cohort (1462 T2D cases, 600 controls). Three T2D-associated SNPs were further tested for prediction of CHD within a subset of 1417 T2D cases free of CHD at enrolment. RESULTS In the case-control analysis, PPARG rs1801282 (Pro12Ala) (OR=1.48 (1.02-2.16)), ADIPOQ rs1063539 (OR=1.17 (1.01-1.35)), and HNF4A rs1884614 (OR=1.16 (1.00-1.32) were associated with T2D (P(allelic)<0.05). Joint analysis of rs1801282-C, rs1063539-G, and rs1884614-T risk alleles showed an additive dosage effect (P for trend=0.001). Moreover, carriers with two PPARG rs1801282-C risk alleles were associated with an increased risk of incident CHD (HR=4.38 (1.03-18.57), P=0.045) in T2D patients in the prospective analysis. CONCLUSIONS Genetic variants of PPARG, ADIPOQ and HNF4A were individually and jointly associated with T2D in Hong Kong Chinese. The PPARG Pro12 risk allele contributed to increased risk for both T2D and CHD.
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Affiliation(s)
- Janice S K Ho
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
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Abstract
Hepatocyte nuclear 4 alpha (HNF4α), involved in glucose and lipid metabolism, has been linked to intestinal inflammation and abnormal mucosal permeability. Moreover, in a genome-wide association study, the HNF4A locus has been associated with ulcerative colitis. The objective of our study was to evaluate the association between HNF4α genetic variants and Crohn's disease (CD) in two distinct Canadian pediatric cohorts. The sequencing of the HNF4A gene in 40 French Canadian patients led to the identification of 27 single nucleotide polymorphism (SNP)s with a minor allele frequency >5%. To assess the impact of these SNPs on disease susceptibility, we first conducted a case-control discovery study on 358 subjects with CD and 542 controls. We then carried out a replication study in a separate cohort of 416 cases and 1208 controls. In the discovery cohort, the genotyping of the identified SNPs revealed that six were significantly associated with CD. Among them, rs1884613 was replicated in the second CD cohort (odds ratio (OR): 1.33; P<0.012) and this association remained significant when both cohorts were combined and after correction for multiple testing (OR: 1.39; P<0.004). An 8-marker P2 promoter haplotype containing rs1884613 was also found associated with CD (P<2.09 × 10(-4) for combined cohorts). This is the first report showing that the HNF4A locus may be a common genetic determinant of childhood-onset CD. These findings highlight the importance of the intestinal epithelium and oxidative protection in the pathogenesis of CD.
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Cho YS, Chen CH, Hu C, Long J, Ong RTH, Sim X, Takeuchi F, Wu Y, Go MJ, Yamauchi T, Chang YC, Kwak SH, Ma RC, Yamamoto K, Adair LS, Aung T, Cai Q, Chang LC, Chen YT, Gao Y, Hu FB, Kim HL, Kim S, Kim YJ, Lee JJM, Lee NR, Li Y, Liu JJ, Lu W, Nakamura J, Nakashima E, Ng DPK, Tay WT, Tsai FJ, Wong TY, Yokota M, Zheng W, Zhang R, Wang C, So WY, Ohnaka K, Ikegami H, Hara K, Cho YM, Cho NH, Chang TJ, Bao Y, Hedman ÅK, Morris AP, McCarthy MI, Takayanagi R, Park KS, Jia W, Chuang LM, Chan JC, Maeda S, Kadowaki T, Lee JY, Wu JY, Teo YY, Tai ES, Shu XO, Mohlke KL, Kato N, Han BG, Seielstad M. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians. Nat Genet 2011; 44:67-72. [PMID: 22158537 PMCID: PMC3582398 DOI: 10.1038/ng.1019] [Citation(s) in RCA: 465] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2011] [Accepted: 11/02/2011] [Indexed: 12/14/2022]
Abstract
We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D) in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-wide association studies (6,952 cases with T2D and 11,865 controls) with a stage 2 in silico replication analysis (5,843 cases and 4,574 controls) and a stage 3 de novo replication analysis (12,284 cases and 13,172 controls). The combined analysis identified eight new T2D loci reaching genome-wide significance, which mapped in or near GLIS3, PEPD, FITM2-R3HDML-HNF4A, KCNK16, MAEA, GCC1-PAX4, PSMD6 and ZFAND3. GLIS3, which is involved in pancreatic beta cell development and insulin gene expression, is known for its association with fasting glucose levels. The evidence of an association with T2D for PEPD and HNF4A has been shown in previous studies. KCNK16 may regulate glucose-dependent insulin secretion in the pancreas. These findings, derived from an east Asian population, provide new perspectives on the etiology of T2D.
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Affiliation(s)
- Yoon Shin Cho
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, The Republic of Korea
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Road Sec. 2, Nankang, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, 91 Hsueh-Shih Road, Taichung, Taiwan
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233, PR China
| | - Jirong Long
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
| | - Rick Twee Hee Ong
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore 117456, Singapore
| | - Xueling Sim
- Centre for Molecular Epidemiology, National University of Singapore, Singapore 117597, Singapore
| | - Fumihiko Takeuchi
- Research Institute, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, 162-8655, JAPAN
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Min Jin Go
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, The Republic of Korea
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yi-Cheng Chang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 110-744, Korea
| | - Ronald C.W. Ma
- Dept of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
| | - Ken Yamamoto
- Division of Genome Analysis, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan
| | - Linda S. Adair
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore 119074, Singapore
| | - Qiuyin Cai
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Road Sec. 2, Nankang, Taipei, Taiwan
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Road Sec. 2, Nankang, Taipei, Taiwan
| | - Yutang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai 200032, China
| | - Frank B. Hu
- Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Hyung-Lae Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, The Republic of Korea
- Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, The Republic of Korea
| | - Sangsoo Kim
- School of Systems Biomedical Science, Soongsil University, Sangdo-5-dong 1-1, Dongjak-gu, Seoul 156-743, The Republic of Korea
| | - Young Jin Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, The Republic of Korea
| | - Jeannette Jen-Mai Lee
- Department of Epidemiology and Public Health, National University of Singapore, Singapore 117597, Singapore
| | - Nanette R. Lee
- Office of Population Studies Foundation Inc., University of San Carlos, Cebu City, Philippines
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599
| | - Jian Jun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Wei Lu
- Shanghai Institute of Preventive Medicine, Shanghai 200336, China
| | - Jiro Nakamura
- Division of Endocrinology and Diabetes, Department of Internal Medicine, Nagoya University Graduate School of Medicine, Nagoya, 466-8560 JAPAN
| | - Eitaro Nakashima
- Division of Endocrinology and Diabetes, Department of Internal Medicine, Nagoya University Graduate School of Medicine, Nagoya, 466-8560 JAPAN
- Department of Diabetes and Endocrinology, Chubu Rosai Hospital, Nagoya, 455-8530 Japan
| | - Daniel Peng-Keat Ng
- Department of Epidemiology and Public Health, National University of Singapore, Singapore 117597, Singapore
| | - Wan Ting Tay
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
| | - Fuu-Jen Tsai
- School of Chinese Medicine, China Medical University, 91 Hsueh-Shih Road, Taichung, Taiwan
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore 119074, Singapore
- Centre for Eye Research Australia, University of Melbourne, East Melbourne VIC, 3002 Australia
| | - Mitsuhiro Yokota
- Department of Genome Science, Aichi-Gakuin University, School of Dentistry, Nagoya, 464-8651 Japan
| | - Wei Zheng
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
| | - Rong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233, PR China
| | - Congrong Wang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233, PR China
| | - Wing Yee So
- Dept of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
| | - Keizo Ohnaka
- Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan
| | - Hiroshi Ikegami
- Dept Endocrinology, Metabolism and Diabetes, Kinki University School of Medicine 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511 Japan
| | - Kazuo Hara
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Young Min Cho
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 110-744, Korea
| | - Nam H Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Suwon, The Republic of Korea
| | - Tien-Jyun Chang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yuqian Bao
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233, PR China
| | - Åsa K. Hedman
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | | | | | - Ryoichi Takayanagi
- Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 110-744, Korea
- WCU Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology and College of Medicine, Seoul National University, 101 Daehak-Ro, Jongno-Gu, Seoul, 110-744, Korea
| | - Weiping Jia
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233, PR China
| | - Lee-Ming Chuang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, National Taiwan University School of Medicine, Taipei, Taiwan
| | - Juliana C.N. Chan
- Dept of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
| | - Shiro Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama 230-0045, Japan
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Jong-Young Lee
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, The Republic of Korea
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Road Sec. 2, Nankang, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, 91 Hsueh-Shih Road, Taichung, Taiwan
| | - Yik Ying Teo
- Department of Epidemiology and Public Health, National University of Singapore, Singapore 117597, Singapore
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599
- Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546, Singapore
- Centre for Molecular Epidemiology, National University of Singapore, Singapore 117597, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore 117456, Singapore
| | - E Shyong Tai
- Department of Medicine, National University of Singapore, Singapore 119228 Singapore
- Department of Epidemiology and Public Health, National University of Singapore, Singapore 117597, Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore 169857, Singapore
| | - Xiao Ou Shu
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Norihiro Kato
- Research Institute, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, 162-8655, JAPAN
| | - Bok-Ghee Han
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, The Republic of Korea
| | - Mark Seielstad
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
- Institute for Human Genetics, University of California, 513 Parnassus Avenue, San Francisco, CA 94143-0794, USA
- Blood Systems Research Institute, 270 Masonic Avenue, San Francisco, California, 94118, USA
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Association of Hepatocyte Nuclear Factor 4 Alpha Polymorphisms with Type 2 Diabetes With or Without Metabolic Syndrome in Malaysia. Biochem Genet 2011; 50:298-308. [DOI: 10.1007/s10528-011-9472-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2010] [Accepted: 05/27/2011] [Indexed: 10/17/2022]
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Association of variants in genes involved in pancreatic β-cell development and function with type 2 diabetes in North Indians. J Hum Genet 2011; 56:695-700. [PMID: 21814221 DOI: 10.1038/jhg.2011.83] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Variants in genes involved in pancreatic β-cell development and function are known to cause monogenic forms of type 2 diabetes and are also associated with complex form. In this study, we studied the genetic association of polymorphisms in such important genes with type 2 diabetes in the high-risk Indians. We genotyped 91 polymorphisms in 19 genes (ABCC8, HNF1A, HNF1B, HNF4A, INS, INSM1, ISL1, KCNJ11, MAFA, MNX1, NEUROD1, NEUROG3, NKX2.2, NKX6.1, PAX4, PAX6, PDX1, USF1 and WFS1) in 2025 unrelated North Indians of Indo-European ethnicity comprising of 1019 diabetic and 1006 non-diabetic subjects. HNF4A promoter P2 polymorphisms rs1884613 and rs2144908, which are in high linkage disequilibrium, showed significant association with type 2 diabetes (odds ratio (OR)=1.37 (95% confidence interval (CI) 1.19-1.57), P=9.4 × 10(-6) for rs1884613 and OR=1.37 (95%CI 1.20-1.57), P=6.0 × 10(-6) for rs2144908), as previously shown in other populations. We observed body mass index-dependent association of these variants with type 2 diabetes in normal-weight/lean subjects. Variants in USF1, ABCC8, ISL1 and KCNJ11 showed nominal association, while haplotypes in these genes were significantly associated. rs3812704 upstream of NEUROG3 significantly increased risk for type 2 diabetes in normal-weight/lean subjects (OR=1.68 (95%CI 1.25-2.24), P=4.9 × 10(-4)). Thus, pancreatic β-cell development and function genes contribute to susceptibility to type 2 diabetes in North Indians.
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Association analyses between the genetic polymorphisms of HNF4A and FOXO1 genes and Chinese Han patients with type 2 diabetes. Mol Cell Biochem 2011; 353:259-65. [PMID: 21442235 DOI: 10.1007/s11010-011-0794-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2011] [Accepted: 03/17/2011] [Indexed: 11/27/2022]
Abstract
The hepatocyte nuclear factor 4-alpha (HNF4A) and human forkhead box O1 (FOXO1) genes have been discovered to be associated with type 2 diabetes (T2D) in different populations. This study aimed to evaluate the association between HNF4A and FOXO1 genetic polymorphisms and type 2 diabetes in the Chinese Han population. Five hundred and seventy-seven patients with type 2 diabetes and 462 normal controls were enrolled in this study. Six single-nucleotide polymorphisms (SNPs) in HNF4A and seven in FOXO1 were selected and genotyped with polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) or TaqMan(®) technology. Single-locus analyses indicated that the C allele of rs11574736 from HNF4A had a lower frequency in the case group compared with the control group (P = 0.005, OR = 0.74, 95% CI = 0.59-0.92). The genotype distributions of rs11574736 also differed between the two groups (P = 0.02). However, none of the FOXO1 SNPs showed any association with type 2 diabetes in the Chinese Han population. Further analysis suggested the two genes interact with each other (rs3908773/rs717247/rs6031587/rs11574736: P < 0.0001, testing accuracy = 0.55, CV consistency = 6/10). In conclusion, this study shows an association between the HNF4A gene and type 2 diabetes in the Chinese Han population. Moreover, the authors confirmed the results of previous studies for the interaction between HNF4A and FOXO1 in the pathogenesis of type 2 diabetes.
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Hertel JK, Johansson S, Ræder H, Platou CGP, Midthjell K, Hveem K, Molven A, Njølstad PR. Evaluation of four novel genetic variants affecting hemoglobin A1c levels in a population-based type 2 diabetes cohort (the HUNT2 study). BMC MEDICAL GENETICS 2011; 12:20. [PMID: 21294870 PMCID: PMC3044669 DOI: 10.1186/1471-2350-12-20] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2010] [Accepted: 02/04/2011] [Indexed: 11/10/2022]
Abstract
BACKGROUND Chronic hyperglycemia confers increased risk for long-term diabetes-associated complications and repeated hemoglobin A1c (HbA1c) measures are a widely used marker for glycemic control in diabetes treatment and follow-up. A recent genome-wide association study revealed four genetic loci, which were associated with HbA1c levels in adults with type 1 diabetes. We aimed to evaluate the effect of these loci on glycemic control in type 2 diabetes. METHODS We genotyped 1,486 subjects with type 2 diabetes from a Norwegian population-based cohort (HUNT2) for single-nucleotide polymorphisms (SNPs) located near the BNC2, SORCS1, GSC and WDR72 loci. Through regression models, we examined their effects on HbA1c and non-fasting glucose levels individually and in a combined genetic score model. RESULTS No significant associations with HbA1c or glucose levels were found for the SORCS1, BNC2, GSC or WDR72 variants (all P-values > 0.05). Although the observed effects were non-significant and of much smaller magnitude than previously reported in type 1 diabetes, the SORCS1 risk variant showed a direction consistent with increased HbA1c and glucose levels, with an observed effect of 0.11% (P = 0.13) and 0.13 mmol/l (P = 0.43) increase per risk allele for HbA1c and glucose, respectively. In contrast, the WDR72 risk variant showed a borderline association with reduced HbA1c levels (β = -0.21, P = 0.06), and direction consistent with decreased glucose levels (β = -0.29, P = 0.29). The allele count model gave no evidence for a relationship between increasing number of risk alleles and increasing HbA1c levels (β = 0.04, P = 0.38). CONCLUSIONS The four recently reported SNPs affecting glycemic control in type 1 diabetes had no apparent effect on HbA1c in type 2 diabetes individually or by using a combined genetic score model. However, for the SORCS1 SNP, our findings do not rule out a possible relationship with HbA1c levels. Hence, further studies in other populations are needed to elucidate whether these novel sequence variants, especially rs1358030 near the SORCS1 locus, affect glycemic control in type 2 diabetes.
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Affiliation(s)
- Jens K Hertel
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Chen Z, Zhang D, Liu Y, Zhou D, Zhao T, Yang Y, He L, Xu H. Variants in hepatocyte nuclear factor 4alpha gene promoter region and type 2 diabetes risk in Chinese. Exp Biol Med (Maywood) 2010; 235:857-61. [PMID: 20558840 DOI: 10.1258/ebm.2010.010024] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
As a key regulator of insulin secretion and metabolism of glucose, cholesterol and fatty acid, hepatocyte nuclear factor 4alpha (HNF4A) was suggested as a candidate gene for type 2 diabetes (T2D); however, no association study between HNF4A and T2D in the Chinese population has been conducted before. To address this issue, we evaluated the impact of the HNF4A variants (rs1884614 and rs2425637) on T2D and metabolic traits in 1912 unrelated patients and 2041 control subjects in the Chinese Han population. Our results suggested that no individual single nucleotide polymorphisms of HNF4A was significantly associated with T2D at either allele or genotype level. However, rs2425637 in the promoter region of HNF4A was found to have an effect on total cholesterol and high-density lipoprotein before multiple testing correction. To summarize, our investigation did not confirm the effects of HNF4A variants (rs1884614 and rs2425637) on T2D risk, but found that the risk HNF4A contributed to T2D might be population specific.
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Affiliation(s)
- Zhuo Chen
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 294 Taiyuan Road, Shanghai, PR China
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Ungaro P, Teperino R, Mirra P, Longo M, Ciccarelli M, Raciti GA, Nigro C, Miele C, Formisano P, Beguinot F. Hepatocyte nuclear factor (HNF)-4alpha-driven epigenetic silencing of the human PED gene. Diabetologia 2010; 53:1482-92. [PMID: 20396999 DOI: 10.1007/s00125-010-1732-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2010] [Accepted: 02/25/2010] [Indexed: 01/03/2023]
Abstract
AIMS/HYPOTHESIS Overexpression of PED (also known as PEA15) determines insulin resistance and impaired insulin secretion and may contribute to progression toward type 2 diabetes. Recently, we found that the transcription factor hepatocyte nuclear factor (HNF)-4alpha binds to PED promoter and represses its transcription. However, the molecular details responsible for regulation of PED gene remain unclear. METHODS Here we used gain and loss of function approaches to investigate the hypothesis that HNF-4alpha controls chromatin remodelling at the PED promoter in human cell lines. RESULTS HNF-4alpha production and binding induce chromatin remodelling at the -250 to 50 region of PED, indicating that remodelling is limited to two nucleosomes located at the proximal promoter. Chromatin immunoprecipitation assays also revealed concomitant HNF-4alpha-induced deacetylation of histone H3 at Lys9 and Lys14, and increased dimethylation of histone H3 at Lys9. The latter was followed by reduction of histone H3 Lys4 dimethylation. HNF-4alpha was also shown to target the histone deacetylase complex associated with silencing mediator of retinoic acid and thyroid hormone receptor, both at the PED promoter, and at GRB14 and USP21 regulatory regions, leading to a reduction of mRNA levels. Moreover, HNF-4alpha silencing and PED overexpression were accompanied by a significant reduction of hepatic glycogen content. CONCLUSIONS/INTERPRETATION These results show that HNF-4alpha serves as a scaffold protein for histone deacetylase activities, thereby inhibiting liver expression of genes including PED. Dysregulation of these mechanisms may lead to upregulation of the PED gene in type 2 diabetes.
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Affiliation(s)
- P Ungaro
- Dipartimento di Biologia e Patologia Cellulare e Molecolare L. Califano & Istituto di Endocrinologia ed Oncologia Sperimentale del CNR, Università di Napoli Federico II, Via Sergio Pansini, 5, Naples, 80131, Italy.
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Njølstad PR, Hertel JK, Søvik O, Raeder H, Johansson S, Molven A. [Progress in diabetes genetics]. TIDSSKRIFT FOR DEN NORSKE LEGEFORENING 2010; 130:1145-9. [PMID: 20531501 DOI: 10.4045/tidsskr.09.1035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND Diabetes is classified as Type 1 diabetes, Type 2 diabetes, gestational diabetes and other types. Our goal was to provide an overview of new genetic knowledge of monogenic and type 2 diabetes. MATERIAL AND METHOD The article is based on literature identified through a non-systematic search in PubMed and own experience concerning research in diabetes genetics and treatment of patients with monogenic diabetes. RESULTS 18 genes have been found for which one single mutation may cause diabetes. The most common causes for such monogenic diabetes are mutations in the genes KCNJ11, ABCC8 and INS when the condition is diagnosed at the age 0 - 6 months, and in the genes HNF1A, GCK, HNF4A and HNF1B when the diagnosis is made later than six months of age. Genetic testing is appropriate in assessment of monogenic diabetes, because antidiabetic tablets rather that insulin injections can be used to treat patients with mutations in certain genes; i.e. KCNJ11, ABCC8, HNF1A and HNF4A. Genome-wide association studies have recently identified about 20 genetic variants that increase the risk of Type 2 diabetes, but which have a low predictive value for development of disease. How these genetic variants can cause Type 2 diabetes has not been assessed and clinical relevance remains to be shown. INTERPRETATION So far, genetic findings only affect diagnosis and treatment of monogenic diabetes.
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Affiliation(s)
- Pål R Njølstad
- Senter for diabetesgenetikk, Barneklinikken, Haukeland universitetssykehus, 5021 Bergen, Norway.
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Pettersen E, Skorpen F, Kvaløy K, Midthjell K, Grill V. Genetic heterogeneity in latent autoimmune diabetes is linked to various degrees of autoimmune activity: results from the Nord-Trøndelag Health Study. Diabetes 2010; 59:302-10. [PMID: 19833889 PMCID: PMC2797937 DOI: 10.2337/db09-0923] [Citation(s) in RCA: 60] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
OBJECTIVE Previous studies have indicated that the latent autoimmune diabetes in adults (LADA) phenotype is heterogeneous and that LADA patients share features of type 1 and type 2 diabetes in various proportions. We tested for association of known type 1 and type 2 diabetes susceptibility genes in LADA subjects and analyzed relationships to a marker of autoimmune activity (titers of anti-GAD) and a phenotypic risk factor of type 2 diabetes (BMI). RESEARCH DESIGN AND METHODS Data were assembled from the Nord-Trøndelag Health Study (HUNT) study, which comprises the adult population of an entire county in Norway. We genotyped 60 single nucleotide polymorphisms (SNPs) known to be associated with type 1 or type 2 diabetes, including 14 tag SNPs used for HLA haplotyping in 120 type 1 diabetic, 126 LADA, and 1,090 type 2 diabetic patients and 1,503 age- and sex-matched nondiabetic subjects. RESULTS The majority of the strongly associated HLA haplotypes for type 1 diabetes were significantly associated with LADA in general, but mainly with high anti-GAD LADA patients. Two distinct HLA haplotypes were associated only with LADA and mainly in low anti-GAD LADA patients. There were no associations of non-HLA type 1 diabetes loci with LADA. Of type 2 diabetes-associated genes, the CC/CT genotypes of rs7961581 (TSPAN8) and the obesity-linked AA/AC genotypes of rs8050136 (FTO) were associated with LADA in general, but mainly in low anti-GAD LADA patients (P = 0.004 and P = 0.004, respectively). CONCLUSIONS Genetic heterogeneity in LADA is linked to various degrees of autoimmune activity and may be partly distinct from both type 1 and type 2 diabetes.
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Affiliation(s)
- Elin Pettersen
- Department of Cancer Research and Molecular Medicine, Faculty of Medicine, The Norwegian University of Science and Technology, Trondheim, Norway.
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Sookoian S, Gemma C, Pirola CJ. Influence of hepatocyte nuclear factor 4alpha (HNF4alpha) gene variants on the risk of type 2 diabetes: a meta-analysis in 49,577 individuals. Mol Genet Metab 2010; 99:80-9. [PMID: 19748811 DOI: 10.1016/j.ymgme.2009.08.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2009] [Revised: 08/14/2009] [Accepted: 08/14/2009] [Indexed: 12/19/2022]
Abstract
BACKGROUND The nuclear receptor hepatocyte nuclear factor 4alpha (HNF4alpha) contributes to the regulation of a large fraction of liver and pancreatic islet transcriptomes. AIM To evaluate the influence of HNF4alpha polymorphisms across the entire locus on the occurrence of type 2 diabetes (T2D) by means of a meta-analysis. METHODS We evaluated haplotype block structure of HNF4alpha variants owing to linkage disequilibrium (LD). From 1455 reports, we evaluated 21 observational studies. RESULTS Six haplotype blocks of LD were constructed with SNPs with r(2)>0.8; there were also 14 unlinked SNPs. Overall, we included 22,920 cases and 26.657 controls. Among 17 heterogeneous studies (21,881 cases and 24,915 controls), including 3 SNPs of P2 promoter region in block 1, we observed a significant association with T2D in fixed (OR 0.94, 95%CI: 0.905-0.975, p=0.001) and random (OR 0.988, 95%CI: 0.880-0.948, p=0.000012) model. Three homogeneous studies were evaluated in block 2 (2684 cases and 2059 controls), and a significant association with T2D was also observed: OR: 1.121, 95%CI 1.013-1.241, p=0.027. Three additional variants were associated with T2D: two intronic SNPs (rs4810424: OR: 1.080, 95%CI: 1.010-1.154, p<0.03 and rs3212183: OR: 0.843, 95%CI: 0.774-0.918, p<0.00009) and one missense variant (rs1800961: OR: 0.770, 95%CI: 0.595-0.995, p<0.05, 6562 cases and 6723 controls). CONCLUSIONS In addition to HNF4alpha variants in the promoter region, other SNPs may be involved on the occurrence of T2D.
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Affiliation(s)
- Silvia Sookoian
- Molecular Genetics and Biology of Complex Diseases Department, Institute of Medical Research A. Lanari, University of Buenos Aires--National Council of Scientific and Technological Research, Combatientes de Malvinas 3150, Buenos Aires (1427), Argentina
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Abstract
Type 2 diabetes mellitus is a complex metabolic disease that is caused by insulin resistance and beta-cell dysfunction. Furthermore, type 2 diabetes has an evident genetic component and represents a polygenic disease. During the last decade, considerable progress was made in the identification of type 2 diabetes risk genes. This was crucially influenced by the development of affordable high-density single nucleotide polymorphism (SNP) arrays that prompted several successful genome-wide association scans in large case-control cohorts. Subsequent to the identification of type 2 diabetes risk SNPs, cohorts thoroughly phenotyped for prediabetic traits with elaborate in vivo methods allowed an initial characterization of the pathomechanisms of these SNPs. Although the underlying molecular mechanisms are still incompletely understood, a surprising result of these pathomechanistic investigations was that most of the risk SNPs affect beta-cell function. This favors a beta-cell-centric view on the genetics of type 2 diabetes. The aim of this review is to summarize the current knowledge about the type 2 diabetes risk genes and their variants' pathomechanisms.
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Affiliation(s)
- Harald Staiger
- Department of Internal Medicine, Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, University Hospital Tübingen, D-72076 Tübingen, Germany
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Ruchat SM, Weisnagel JS, Rankinen T, Bouchard C, Vohl MC, Pérusse L. Interaction between HNF4A polymorphisms and physical activity in relation to type 2 diabetes-related traits: results from the Quebec Family Study. Diabetes Res Clin Pract 2009; 84:211-8. [PMID: 19406499 DOI: 10.1016/j.diabres.2009.03.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2008] [Revised: 03/10/2009] [Accepted: 03/17/2009] [Indexed: 11/17/2022]
Abstract
AIMS To test for associations between type 2 diabetes mellitus (T2DM)-related traits and polymorphisms (SNPs) in the hepatocyte nuclear factor 4-alpha gene (HNF4A) in the Quebec Family Study cohort, and determine whether these associations are modulated by physical activity (PA). METHODS Two HNF4A SNPs (rs1885088 G>A; rs745975 C>T), previously reported to be associated with T2DM, were studied in 528 non-diabetic subjects who underwent a 75g oral glucose tolerance test (OGTT). Glucose, insulin and C-peptide plasma levels, measured in the fasting state and during the OGTT, were used in the analysis. The amount (hours per week) of PA was assessed by questionnaire. RESULTS The HNF4A rs1885088 SNP was not independently associated with T2DM-related traits, whereas the rs745975 was associated with fasting insulin, HOMA-IR and 2-h glucose levels (p<0.05 for all). Genotype by PA interactions were found for glucose homeostasis (p<0.0001) and insulin secretion (p<or=0.03). When subjects were stratified by PA level (according to the median value), we found that high level of PA (>2h/week) was associated with smaller glucose area under the curve (AUC) and 2-h glucose levels in rs1885088 A/A homozygotes and with lower fasting C-peptide and insulin AUC in rs745975 T/T homozygotes. CONCLUSION These results indicate that the associations of HNF4A rs1885088 with glucose tolerance and rs745975 with insulin secretion are modulated by PA. Our finding therefore suggests that the effect of HNF4A polymorphisms on the risk of T2DM is influenced by PA.
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Huang J, Levitsky LL, Rhoads DB. Novel P2 promoter-derived HNF4alpha isoforms with different N-terminus generated by alternate exon insertion. Exp Cell Res 2009; 315:1200-11. [PMID: 19353766 DOI: 10.1016/j.yexcr.2009.01.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Hepatocyte nuclear factor 4alpha (HNF4alpha) is a critical transcription factor for pancreas and liver development and functions in islet beta cells to maintain glucose homeostasis. Mutations in the human HNF4A gene lead to maturity onset diabetes of the young (MODY1) and polymorphisms are associated with increased risk for type 2 diabetes mellitus (T2DM). Expression of six HNF4alpha variants, three each from two developmentally regulated promoters, has been firmly established. We have now detected a new set of HNF4alpha variants designated HNF4alpha10-12 expressed from distal promoter P2. These variants, generated by inclusion of previously undetected exon 1E (human=222 nt, rodent=136 nt) following exon 1D have an altered N-terminus but identical remaining reading frame. HNF4alpha10-alpha12 are expressed in pancreatic islets (and liver) and exhibit transactivation potentials similar to the corresponding alpha7-alpha9 isoforms. DNA-binding analyses implied much higher protein levels of HNF4alpha10-alpha12 in liver than expected from the RT-PCR data. Our results provide evidence for a more complex expression pattern of HNF4alpha than previously appreciated. We recommend inclusion of exon 1E and nearby DNA sequences in screening for HNF4alpha mutations and polymorphisms in genetic analyses of MODY1 and T2DM.
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Affiliation(s)
- Jianmin Huang
- MassGeneral Hospital for Children, Harvard Medical School, Boston, Massachusetts 02114-2696, USA.
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31
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Current World Literature. Curr Opin Lipidol 2009; 20:135-42. [PMID: 19276892 DOI: 10.1097/mol.0b013e32832a7e09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Abstract
DNA variations have contributed enormously to the fields of medical and forensic science, especially through their use in studies on genes responsible or susceptible to various diseases and those on screening of chromosomal abnormalities in tumors. The types of genetic variations used in these studies have changed in the past 25 years and can be classified into five major classes: RFLP (restriction fragment length polymorphism), VNTR (variable number of tandem repeat), STR (short tandem repeat or microsatellite), SNP (single-nucleotide polymorphism) and CNV (copy-number variation). Genetic linkage analysis using these tools helped to map and discover genes responsible for hundreds of hereditary diseases. Furthermore, construction of the international SNP database and recent development of high-throughput SNP typing platforms enabled us to perform genome-wide association studies, which have identified genes (or genetic variations) susceptible to common diseases or those associated with drug responses. Genome-wide sequencing of individual DNAs is gaining immense scope. Here, I summarize the history of polymorphic DNA markers and their contribution to the genetic analysis of both rare hereditary diseases and common diseases, as well as recent advances in pharmacogenetics, including our contribution to these areas.
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Chen R, Morgan AA, Dudley J, Deshpande T, Li L, Kodama K, Chiang AP, Butte AJ. FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease. Genome Biol 2008; 9:R170. [PMID: 19061490 PMCID: PMC2646274 DOI: 10.1186/gb-2008-9-12-r170] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2008] [Revised: 09/26/2008] [Accepted: 12/05/2008] [Indexed: 12/18/2022] Open
Abstract
Differential expressed genes are more likely to have variants associated with disease. A new tool, fitSNP, prioritizes candidate SNPs from association studies. Background Candidate single nucleotide polymorphisms (SNPs) from genome-wide association studies (GWASs) were often selected for validation based on their functional annotation, which was inadequate and biased. We propose to use the more than 200,000 microarray studies in the Gene Expression Omnibus to systematically prioritize candidate SNPs from GWASs. Results We analyzed all human microarray studies from the Gene Expression Omnibus, and calculated the observed frequency of differential expression, which we called differential expression ratio, for every human gene. Analysis conducted in a comprehensive list of curated disease genes revealed a positive association between differential expression ratio values and the likelihood of harboring disease-associated variants. By considering highly differentially expressed genes, we were able to rediscover disease genes with 79% specificity and 37% sensitivity. We successfully distinguished true disease genes from false positives in multiple GWASs for multiple diseases. We then derived a list of functionally interpolating SNPs (fitSNPs) to analyze the top seven loci of Wellcome Trust Case Control Consortium type 1 diabetes mellitus GWASs, rediscovered all type 1 diabetes mellitus genes, and predicted a novel gene (KIAA1109) for an unexplained locus 4q27. We suggest that fitSNPs would work equally well for both Mendelian and complex diseases (being more effective for cancer) and proposed candidate genes to sequence for their association with 597 syndromes with unknown molecular basis. Conclusions Our study demonstrates that highly differentially expressed genes are more likely to harbor disease-associated DNA variants. FitSNPs can serve as an effective tool to systematically prioritize candidate SNPs from GWASs.
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Affiliation(s)
- Rong Chen
- Stanford Center for Biomedical Informatics Research, 251 Cmpus Drive, Stanford, CA 94305, USA.
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Ungaro P, Teperino R, Mirra P, Cassese A, Fiory F, Perruolo G, Miele C, Laakso M, Formisano P, Beguinot F. Molecular cloning and characterization of the human PED/PEA-15 gene promoter reveal antagonistic regulation by hepatocyte nuclear factor 4alpha and chicken ovalbumin upstream promoter transcription factor II. J Biol Chem 2008; 283:30970-9. [PMID: 18765665 PMCID: PMC2662169 DOI: 10.1074/jbc.m803895200] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2008] [Revised: 08/27/2008] [Indexed: 11/06/2022] Open
Abstract
Overexpression of the ped/pea-15 gene in mice impairs glucose tolerance and leads to diabetes in conjunction with high fat diet treatment. PED/PEA-15 is also overexpressed in type 2 diabetics as well as in euglycemic offspring from these subjects. The cause(s) of this abnormality remains unclear. In the present work we have cloned and localized the promoter region of the human PED/PEA-15 gene within the first 230 bp of the 5(R)-flanking region. A cis-acting regulatory element located between -320 and -335 bps upstream the PED/PEA-15 gene transcriptional start site (+1) is recognized by both the hepatocyte nuclear factor 4alpha (HNF-4alpha) and the chicken ovalbumin upstream promoter transcription factor II (COUP-TFII), two members of the steroid/thyroid superfamily of transcription factors, both of which are involved in the control of lipid and glucose homeostasis. HNF-4alpha represses PED/PEA-15 expression in HeLa cells, whereas COUP-TFII activates its expression. In hepatocytes, the activation of PED/PEA-15 gene transcription is paralleled by the establishment of a partially dedifferentiated phenotype accompanied by a reduction in mRNA levels encoded by genes normally expressed during liver development. Cotransfection of HeLa cells with a reporter construct containing the PED/PEA-15 response element and various combinations of HNF-4alpha and COUP-TFII expression vectors indicated that COUP-TFII antagonizes the repression of the PED/PEA-15 gene by HNF-4alpha. Thus, at least in part, transcription of the PED/PEA-15 gene in vivo is dependent upon the intracellular balance of these positive and negative regulatory factors. Abnormalities in HNF-4alpha and COUP-TFII balance might have important consequences on glucose tolerance in humans.
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Affiliation(s)
- Paola Ungaro
- Dipartimento di Biologia e Patologia Cellulare e Molecolare, Università di Napoli Federico II, 80131 Naples, Italy
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Barroso I, Luan J, Wheeler E, Whittaker P, Wasson J, Zeggini E, Weedon MN, Hunt S, Venkatesh R, Frayling TM, Delgado M, Neuman RJ, Zhao J, Sherva R, Glaser B, Walker M, Hitman G, McCarthy MI, Hattersley AT, Permutt MA, Wareham NJ, Deloukas P. Population-specific risk of type 2 diabetes conferred by HNF4A P2 promoter variants: a lesson for replication studies. Diabetes 2008; 57:3161-5. [PMID: 18728231 PMCID: PMC2570416 DOI: 10.2337/db08-0719] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE Single nucleotide polymorphisms (SNPs) in the P2 promoter region of HNF4A were originally shown to be associated with predisposition for type 2 diabetes in Finnish, Ashkenazi, and, more recently, Scandinavian populations, but they generated conflicting results in additional populations. We aimed to investigate whether data from a large-scale mapping approach would replicate this association in novel Ashkenazi samples and in U.K. populations and whether these data would allow us to refine the association signal. RESEARCH DESIGN AND METHODS Using a dense linkage disequilibrium map of 20q, we selected SNPs from a 10-Mb interval centered on HNF4A. In a staged approach, we first typed 4,608 SNPs in case-control populations from four U.K. populations and an Ashkenazi population (n = 2,516). In phase 2, a subset of 763 SNPs was genotyped in 2,513 additional samples from the same populations. RESULTS Combined analysis of both phases demonstrated association between HNF4A P2 SNPs (rs1884613 and rs2144908) and type 2 diabetes in the Ashkenazim (n = 991; P < 1.6 x 10(-6)). Importantly, these associations are significant in a subset of Ashkenazi samples (n = 531) not previously tested for association with P2 SNPs (odds ratio [OR] approximately 1.7; P < 0.002), thus providing replication within the Ashkenazim. In the U.K. populations, this association was not significant (n = 4,022; P > 0.5), and the estimate for the OR was much smaller (OR 1.04; [95%CI 0.91-1.19]). CONCLUSIONS These data indicate that the risk conferred by HNF4A P2 is significantly different between U.K. and Ashkenazi populations (P < 0.00007), suggesting that the underlying causal variant remains unidentified. Interactions with other genetic or environmental factors may also contribute to this difference in risk between populations.
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Affiliation(s)
- Inês Barroso
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
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Hertel JK, Johansson S, Raeder H, Midthjell K, Lyssenko V, Groop L, Molven A, Njølstad PR. Genetic analysis of recently identified type 2 diabetes loci in 1,638 unselected patients with type 2 diabetes and 1,858 control participants from a Norwegian population-based cohort (the HUNT study). Diabetologia 2008; 51:971-7. [PMID: 18437351 DOI: 10.1007/s00125-008-0982-3] [Citation(s) in RCA: 75] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2007] [Accepted: 02/21/2008] [Indexed: 11/25/2022]
Abstract
AIMS/HYPOTHESIS Recent genome-wide association studies performed in selected patients and control participants have provided strong support for several new type 2 diabetes susceptibility loci. To get a better estimation of the true risk conferred by these novel loci, we tested a completely unselected population of type 2 diabetes patients from a Norwegian health survey (the HUNT study). METHODS We genotyped single nucleotide polymorphisms (SNPs) in PKN2, IGFBP2, FLJ39370 (also known as C4ORF32), CDKAL1, SLC30A8, CDKN2B, HHEX and FTO using a Norwegian population-based sample of 1,638 patients with type 2 diabetes and 1,858 non-diabetic control participants (the HUNT Study), for all of whom data on BMI, WHR, cholesterol and triacylglycerol levels were available. We used diabetes, measures of obesity and lipid values as phenotypes in case-control and quantitative association study designs. RESULTS We replicated the association with type 2 diabetes for rs10811661 in the vicinity of CDKN2B (OR 1.20, 95% CI: 1.06-1.37, p=0.004), rs9939609 in FTO (OR 1.14, 95% CI: 1.04-1.25, p=0.006) and rs13266634 in SLC30A8 (OR 1.20, 95% CI: 1.09-1.33, p=3.9 x 10(-4)). We found borderline significant association for the IGFBP2 SNP rs4402960 (OR 1.10, 95% CI: 0.99-1.22). Results for the HHEX SNP (rs1111875) and the CDKAL1 SNP (rs7756992) were non-significant, but the magnitude of effect was similar to previous estimates. We found no support for an association with the less consistently replicated FLJ39370 or PKN2 SNPs. In agreement with previous studies, FTO was most strongly associated with BMI (p=8.4 x 10(-4)). CONCLUSIONS/INTERPRETATION Our data show that SNPs near IGFBP2, CDKAL1, SLC30A8, CDKN2B, HHEX and FTO are also associated with diabetes in non-selected patients with type 2 diabetes.
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Affiliation(s)
- J K Hertel
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Cauchi S, Nead KT, Choquet H, Horber F, Potoczna N, Balkau B, Marre M, Charpentier G, Froguel P, Meyre D. The genetic susceptibility to type 2 diabetes may be modulated by obesity status: implications for association studies. BMC MEDICAL GENETICS 2008; 9:45. [PMID: 18498634 PMCID: PMC2412856 DOI: 10.1186/1471-2350-9-45] [Citation(s) in RCA: 97] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2008] [Accepted: 05/22/2008] [Indexed: 01/09/2023]
Abstract
Background Considering that a portion of the heterogeneity amongst previous replication studies may be due to a variable proportion of obese subjects in case-control designs, we assessed the association of genetic variants with type 2 diabetes (T2D) in large groups of obese and non-obese subjects. Methods We genotyped RETN, KCNJ11, HNF4A, HNF1A, GCK, SLC30A8, ENPP1, ADIPOQ, PPARG, and TCF7L2 polymorphisms in 1,283 normoglycemic (NG) and 1,581 T2D obese individuals as well as in 3,189 NG and 1,244 T2D non-obese subjects of European descent, allowing us to examine T2D risk over a wide range of BMI. Results Amongst non-obese individuals, we observed significant T2D associations with HNF1A I27L [odds ratio (OR) = 1.14, P = 0.04], GCK -30G>A (OR = 1.23, P = 0.01), SLC30A8 R325W (OR = 0.87, P = 0.04), and TCF7L2 rs7903146 (OR = 1.89, P = 4.5 × 10-23), and non-significant associations with PPARG Pro12Ala (OR = 0.85, P = 0.14), ADIPOQ -11,377C>G (OR = 1.00, P = 0.97) and ENPP1 K121Q (OR = 0.99, P = 0.94). In obese subjects, associations with T2D were detected with PPARG Pro12Ala (OR = 0.73, P = 0.004), ADIPOQ -11,377C>G (OR = 1.26, P = 0.02), ENPP1 K121Q (OR = 1.30, P = 0.003) and TCF7L2 rs7903146 (OR = 1.30, P = 1.1 × 10-4), and non-significant associations with HNF1A I27L (OR = 0.96, P = 0.53), GCK -30G>A (OR = 1.15, P = 0.12) and SLC30A8 R325W (OR = 0.95, P = 0.44). However, a genotypic heterogeneity was only found for TCF7L2 rs7903146 (P = 3.2 × 10-5) and ENPP1 K121Q (P = 0.02). No association with T2D was found for KCNJ11, RETN, and HNF4A polymorphisms in non-obese or in obese individuals. Conclusion Genetic variants modulating insulin action may have an increased effect on T2D susceptibility in the presence of obesity, whereas genetic variants acting on insulin secretion may have a greater impact on T2D susceptibility in non-obese individuals.
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Affiliation(s)
- Stéphane Cauchi
- CNRS UMR8090, Institut de Biologie de Lille, Génomique et Physiologie Moléculaire des Maladies Métaboliques, Lille, France.
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