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Saif-Ali R, Al-Hamodi Z, Salem SD, AL-Habori M, Al-Dubai SA, Ismail IS. Association of Protein Tyrosine Phosphatase Receptor Type D and Serine Racemase Genetic Variants with Type 2 Diabetes in Malaysian Indians. Indian J Endocrinol Metab 2024; 28:55-59. [PMID: 38533286 PMCID: PMC10962774 DOI: 10.4103/ijem.ijem_209_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 09/24/2023] [Indexed: 03/28/2024] Open
Abstract
Introduction Type 2 diabetes (T2D) candidate genes, protein tyrosine phosphatase receptor type D (PTPRD), and serine racemase (SRR) were suggested by a genome-wide association study (GWAS) in the Chinese population. Association studies have been replicated among East Asian populations. The association of PTPRD and SRR genetic variants with T2D in Southeast Asian populations still needs to be studied. This study aimed to investigate the association of PTPRD and SSR genetic variants with T2D in Malaysian Indian subjects. Methods The single nucleotide polymorphisms (SNPs) of PTPRD (rs649891 and rs17584499) and SRR (rs4523957, rs391300, and rs8081273) were genotyped in 397 T2D and 285 normal Malaysian Indian subjects. Results The homozygous dominant genotype of rs17584499 is frequent in diabetic patients (56.5%) compared to normal subjects (47.3%). In contrast, the homozygous recessive genotype of rs8081273 is more frequent among normal subjects (12.5%) than diabetic patients (5.6%). The dominant genetic model showed that PTPRD rs17584499 (CC) is a risk factor for T2D (OR = 1.42, P = 0.029), whereas the recessive genetic model showed that SRS SNP rs8081273 was protective for T2D (OR = 0.42, P = 0.003). Conclusion This study confirmed the association of PTPRD rs17584499 genetic variations with T2D in Malaysian Indians. While the SRR rs8081273 (TT) genotype showed protection against T2D, more investigation in different populations is required to confirm this protection.
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Affiliation(s)
- Riyadh Saif-Ali
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Sana’a University, Sana’a, Yemen
| | - Zaid Al-Hamodi
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Sana’a University, Sana’a, Yemen
| | - Sameer D. Salem
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Sana’a University, Sana’a, Yemen
| | - Molham AL-Habori
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Sana’a University, Sana’a, Yemen
| | - Sami A. Al-Dubai
- Joint Program of Preventive Medicine, Post Graduate Studies, Medina, Saudi Arabia
| | - Ikram S. Ismail
- Department of Medicine, Faculty of Medicine, UM, Kuala Lumpur, Malaysia
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Shah RV, Hwang S, Murthy VL, Zhao S, Tanriverdi K, Gajjar P, Duarte K, Schoenike M, Farrell R, Brooks LC, Gopal DM, Ho JE, Girerd N, Vasan RS, Levy D, Freedman JE, Lewis GD, Nayor M. Proteomics and Precise Exercise Phenotypes in Heart Failure With Preserved Ejection Fraction: A Pilot Study. J Am Heart Assoc 2023; 12:e029980. [PMID: 37889181 PMCID: PMC10727424 DOI: 10.1161/jaha.122.029980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/06/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND While exercise impairments are central to symptoms and diagnosis of heart failure with preserved ejection fraction (HFpEF), prior studies of HFpEF biomarkers have mostly focused on resting phenotypes. We combined precise exercise phenotypes with cardiovascular proteomics to identify protein signatures of HFpEF exercise responses and new potential therapeutic targets. METHODS AND RESULTS We analyzed 277 proteins (Olink) in 151 individuals (N=103 HFpEF, 48 controls; 62±11 years; 56% women) with cardiopulmonary exercise testing with invasive monitoring. Using ridge regression adjusted for age/sex, we defined proteomic signatures of 5 physiological variables involved in HFpEF: peak oxygen uptake, peak cardiac output, pulmonary capillary wedge pressure/cardiac output slope, peak pulmonary vascular resistance, and peak peripheral O2 extraction. Multiprotein signatures of each of the exercise phenotypes captured a significant proportion of variance in respective exercise phenotypes. Interrogating the importance (ridge coefficient magnitude) of specific proteins in each signature highlighted proteins with putative links to HFpEF pathophysiology (eg, inflammatory, profibrotic proteins), and novel proteins linked to distinct physiologies (eg, proteins involved in multiorgan [kidney, liver, muscle, adipose] health) were implicated in impaired O2 extraction. In a separate sample (N=522, 261 HF events), proteomic signatures of peak oxygen uptake and pulmonary capillary wedge pressure/cardiac output slope were associated with incident HFpEF (odds ratios, 0.67 [95% CI, 0.50-0.90] and 1.43 [95% CI, 1.11-1.85], respectively) with adjustment for clinical factors and B-type natriuretic peptides. CONCLUSIONS The cardiovascular proteome is associated with precision exercise phenotypes in HFpEF, suggesting novel mechanistic targets and potential methods for risk stratification to prevent HFpEF early in its pathogenesis.
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Affiliation(s)
- Ravi V. Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTN
| | - Shih‐Jen Hwang
- Population Sciences Branch, Division of Intramural ResearchNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMD
| | - Venkatesh L. Murthy
- Departments of Medicine and RadiologyUniversity of Michigan Medical SchoolAnn ArborMI
| | - Shilin Zhao
- Vanderbilt Center for Quantitative SciencesVanderbilt University Medical CenterNashvilleTN
| | - Kahraman Tanriverdi
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTN
| | - Priya Gajjar
- Cardiology Section, Department of MedicineBoston University School of MedicineBostonMA
| | - Kevin Duarte
- Université de Lorraine, Centre d’Investigations Cliniques Plurithématique 1433, INSERM 1116NancyFrance
| | - Mark Schoenike
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical SchoolBostonMA
| | - Robyn Farrell
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical SchoolBostonMA
| | - Liana C. Brooks
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical SchoolBostonMA
| | - Deepa M. Gopal
- Cardiology Section, Department of MedicineBoston University School of MedicineBostonMA
| | - Jennifer E. Ho
- CardioVascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical CenterBostonMA
| | - Nicholas Girerd
- Université de Lorraine, Centre d’Investigations Cliniques Plurithématique 1433, INSERM 1116NancyFrance
| | - Ramachandran S. Vasan
- University of Texas School of Public Health San Antonio, and Departments of Medicine and Population Health Sciences, University of Texas Health Science CenterSan AntonioTX
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural ResearchNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMD
| | - Jane E. Freedman
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTN
| | - Gregory D. Lewis
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical SchoolBostonMA
| | - Matthew Nayor
- Cardiology Section, Department of MedicineBoston University School of MedicineBostonMA
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Xie Y, Cui Z, Wang N, Li P. Research on Potential Network Markers and Signaling Pathways in Type 2 Diabetes Based on Conditional Cell-Specific Network. Genes (Basel) 2022; 13:1155. [PMID: 35885938 PMCID: PMC9320152 DOI: 10.3390/genes13071155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/21/2022] [Accepted: 06/23/2022] [Indexed: 11/16/2022] Open
Abstract
Traditional methods concerning type 2 diabetes (T2D) are limited to grouped cells instead of each single cell, and thus the heterogeneity of single cells is erased. Therefore, it is still challenging to study T2D based on a single-cell and network perspective. In this study, we construct a conditional cell-specific network (CCSN) for each single cell for the GSE86469 dataset which is a single-cell transcriptional set from nondiabetic (ND) and T2D human islet samples, and obtain a conditional network degree matrix (CNDM). Since beta cells are the key cells leading to T2D, we search for hub genes in CCSN of beta cells and find that ATP6AP2 is essential for regulation and storage of insulin, and the renin-angiotensin system involving ATP6AP2 is related to most pathological processes leading to diabetic nephropathy. The communication between beta cells and other endocrine cells is performed and three gene pairs with obvious interaction are found. In addition, different expression genes (DEGs) are found based on CNDM and the gene expression matrix (GEM), respectively. Finally, 'dark' genes are identified, and enrichment analysis shows that NFATC2 is involved in the VEGF signaling pathway and indirectly affects the production of Prostacyclin (PGI2), which may be a potential biomarker for diabetic nephropathy.
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Affiliation(s)
| | | | | | - Peiluan Li
- School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang 471023, China; (Y.X.); (Z.C.); (N.W.)
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4
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Chen Y, Chen XY, Dong XL, Wang YZ, Wang N, Zhu JF, Chen Y, Jiang QW, Fu CW. Investigation of the Association between 45 Tag SNPs and Type 2 Diabetes Mellitus in Han Chinese Adults: A Prospective Cohort Study. Public Health Genomics 2021; 24:123-130. [PMID: 33706321 DOI: 10.1159/000513891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 12/17/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION The objective of this study was to examine the association between type 2 diabetes mellitus (T2DM) and genes identified in previous genome-wide association studies (GWASs) in rural Han Chinese adults. METHODS This prospective study included 1,832 adults aged ≥18 years in Deqing without diabetes at baseline. The subjects were followed up for 8.7 years on average. We selected 45 susceptible tag single-nucleotide polymorphisms (SNPs) for T2DM that have been identified in GWASs and genotyped. A Cox model was constructed to calculate the adjusted hazard ratios (aHRs) for the association between SNPs and incident T2DM. RESULTS The incidence rate of T2DM was 12.0 per 1,000 person-years. After adjustment for covariates and a Bonferroni correction, rs17584499 of protein tyrosine phosphatase, receptor-type D (PTPRD), rs11257655 and rs10906115 of cell division cycle 123 gene (CDC123), and rs12970134 of melanocortin-4 receptor (MC4R) were significantly associated with incident T2DM. The aHRs for incident T2DM were 1.75 (95% confidence interval [CI]: 1.28-2.40) and 1.61 (95% CI: 1.27-2.04) in association with an increasing number of T alleles in rs17584499 and rs11257655 under an additive genetic model, and the aHR was 1.72 (95% CI: 1.33-2.22) with an increasing number of A alleles in rs10906115. The aHRs under the dominant model were 1.82 (95% CI: 1.25-2.66) for TT + CT versus CC of rs17584499 and 2.04 (95% CI: 1.47-2.86) for AA + AG versus GG of rs10966115. The aHRs under the recessive model were 2.99 (95% CI: 1.30-6.89) for TT versus CT + CC of rs17584499, 1.92 (95% CI: 1.39-2.70) for TT versus CT + CC of rs11257655, and 2.54 (95% CI:1.22-5.29) for AA versus AG + GG of rs12970134. In addition, an increased incidence of T2DM was significantly associated with the TA haplotype of rs11257655 and rs10906115 (aHR = 1.81, 95% CI: 1.12-2.92), while a decreased incidence was associated with the CG haplotype (aHR = 0.49, 95% CI: 0.35-0.68) and the CT haplotype of rs1111875 and rs5015480 (aHR = 0.61, 95% CI: 0.37-0.98). CONCLUSION Variants of the PTPRD, CDC123, and MC4R genes were associated with the T2DM incidence in a rural Han Chinese population.
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Affiliation(s)
- Yun Chen
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xiao-Ying Chen
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xiao-Lian Dong
- Deqing County Center for Disease Prevention and Control, Deqing County, China
| | - Yu-Zhuo Wang
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Na Wang
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jian-Fu Zhu
- Deqing County Center for Disease Prevention and Control, Deqing County, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Qing-Wu Jiang
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Chao-Wei Fu
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China,
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5
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Protein tyrosine phosphatases (PTPs) in diabetes: causes and therapeutic opportunities. Arch Pharm Res 2021; 44:310-321. [PMID: 33590390 DOI: 10.1007/s12272-021-01315-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 01/26/2021] [Indexed: 10/22/2022]
Abstract
Protein tyrosine phosphatases (PTPs) have an emerging paradigm for the development of antidiabetic drugs. Herein, we provide a comprehensive overview of the relevance of PTPs to type 2 diabetes (T2D) and the therapeutic opportunities thereof, while critically evaluating the potential challenges for PTP inhibitors to be next generation antidiabetics. This review briefly discusses the structure and function of PTPs. An account of importance and relevance of PTPs in various human diseases is presented with special attention to diabetes. The PTPs relevant to T2D have been targeted by small molecule inhibitors such as natural products and synthetic compounds as well as antisense nucleic acids. This review will give better understanding of the important concepts helpful in outlining the strategies for the development of new therapeutic agents with promising antidiabetic activities.
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Hu S, Togo J, Wang L, Wu Y, Yang D, Xu Y, Li L, Li B, Li M, Li J, Wang G, Zhang X, Niu C, Mazidi M, Douglas A, Speakman JR. Effects of dietary macronutrients and body composition on glucose homeostasis in mice. Natl Sci Rev 2020; 8:nwaa177. [PMID: 34691555 PMCID: PMC8288336 DOI: 10.1093/nsr/nwaa177] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/10/2020] [Accepted: 07/29/2020] [Indexed: 11/25/2022] Open
Abstract
As a major health issue, obesity is linked with elevated risk of type 2 diabetes. However, whether disrupted glucose homeostasis is due to altered body composition alone, or whether dietary macronutrients play an additional role, independent of their impact on body composition, remains unclear. We investigated the associations between macronutrients, body composition, blood hormones and glucose homeostasis. We fed C57BL/6N mice 29 different diets with variable macronutrients for 12 weeks. After 10 weeks, intraperitoneal glucose tolerance tests were performed. Generalized linear models were generated to evaluate the impacts of macronutrients, body composition and blood hormones on glucose homeostasis. The area under the glucose curve (AUC) was strongly associated with body fat mass, but not dietary macronutrients. AUC was significantly associated with fasting insulin levels. Six genes from transcriptomic analysis of epididymal white adipose tissue and subcutaneous white adipose tissue were significantly associated with AUC. These genes may encode secreted proteins that play important previously unanticipated roles in glucose homeostasis.
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Affiliation(s)
- Sumei Hu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jacques Togo
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Lu Wang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingga Wu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Dengbao Yang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanchao Xu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Li Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Baoguo Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Min Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jianbo Li
- School of Basic Medical Sciences, University of Dali, Dali 671000, China
| | - Guanlin Wang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xueying Zhang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chaoqun Niu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Mohsen Mazidi
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Alex Douglas
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 2TZ, UK
| | - John R Speakman
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
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7
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Parrillo L, Spinelli R, Longo M, Desiderio A, Mirra P, Nigro C, Fiory F, Hedjazifar S, Mutarelli M, Carissimo A, Formisano P, Miele C, Smith U, Raciti GA, Beguinot F. Altered PTPRD DNA methylation associates with restricted adipogenesis in healthy first-degree relatives of Type 2 diabetes subjects. Epigenomics 2020; 12:873-888. [PMID: 32483983 DOI: 10.2217/epi-2019-0267] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Aim: First-degree relatives (FDR) of individuals with Type 2 diabetes (T2D) feature restricted adipogenesis, which render them more vulnerable to T2D. Epigenetics may contribute to these abnormalities. Methods: FDR pre-adipocyte Methylome and Transcriptome were investigated by MeDIP- and RNA-Seq, respectively. Results: Methylome analysis revealed 2841 differentially methylated regions (DMR) in FDR. Most DMR localized into gene-body and were hypomethylated. The strongest hypomethylation signal was identified in an intronic-DMR at the PTPRD gene. PTPRD hypomethylation in FDR was confirmed by bisulphite sequencing and was responsible for its upregulation. Interestingly, Ptprd-overexpression in 3T3-L1 pre-adipocytes inhibited adipogenesis. Notably, the validated PTPRD-associated DMR was significantly hypomethylated in peripheral blood leukocytes from the same FDR individuals. Finally, PTPRD methylation pattern was also replicated in obese individuals. Conclusion: Our findings indicated a previously unrecognized role of PTPRD in restraining adipogenesis. This abnormality may contribute to increase FDR proclivity toward T2D.
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Affiliation(s)
- Luca Parrillo
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Rosa Spinelli
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Michele Longo
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Antonella Desiderio
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Paola Mirra
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Cecilia Nigro
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Francesca Fiory
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Shahram Hedjazifar
- Lundberg Laboratory for Diabetes Research, Department of Molecular & Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41345, Sweden
| | | | | | - Pietro Formisano
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Claudia Miele
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Ulf Smith
- Lundberg Laboratory for Diabetes Research, Department of Molecular & Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41345, Sweden
| | - Gregory Alexander Raciti
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
| | - Francesco Beguinot
- URT Genomics of Diabetes-IEOS, CNR & Department of Translational Medicine - Federico II University of Naples, 80131, Italy
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Yahaya TO, Salisu T, Abdulrahman YB, Umar AK. Update on the genetic and epigenetic etiology of gestational diabetes mellitus: a review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2020. [DOI: 10.1186/s43042-020-00054-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Abstract
Background
Many studies have been conducted on the genetic and epigenetic etiology of gestational diabetes mellitus (GDM) in the last two decades because of the disease’s increasing prevalence and role in global diabetes mellitus (DM) explosion. An update on the genetic and epigenetic etiology of GDM then becomes imperative to better understand and stem the rising incidence of the disease. This review, therefore, articulated GDM candidate genes and their pathophysiology for the awareness of stakeholders.
Main body (genetic and epigenetic etiology, GDM)
The search discovered 83 GDM candidate genes, of which TCF7L2, MTNR1B, CDKAL1, IRS1, and KCNQ1 are the most prevalent. Certain polymorphisms of these genes can modulate beta-cell dysfunction, adiposity, obesity, and insulin resistance through several mechanisms. Environmental triggers such as diets, pollutants, and microbes may also cause epigenetic changes in these genes, resulting in a loss of insulin-boosting and glucose metabolism functions. Early detection and adequate management may resolve the condition after delivery; otherwise, it will progress to maternal type 2 diabetes mellitus (T2DM) and fetal configuration to future obesity and DM. This shows that GDM is a strong risk factor for T2DM and, in rare cases, type 1 diabetes mellitus (T1DM) and maturity-onset diabetes of the young (MODY). This further shows that GDM significantly contributes to the rising incidence and burden of DM worldwide and its prevention may reverse the trend.
Conclusion
Mutations and epigenetic changes in certain genes are strong risk factors for GDM. For affected individuals with such etiologies, medical practitioners should formulate drugs and treatment procedures that target these genes and their pathophysiology.
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9
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Chen T, Xu J, Liu G, Liu H, Chen M, Qin Y, Wu W, Xia Y, Ji C, Guo X, Wen J, Wang X. Genetic variants in PTPRD and risk of gestational diabetes mellitus. Oncotarget 2018; 7:76101-76107. [PMID: 27738328 PMCID: PMC5340179 DOI: 10.18632/oncotarget.12599] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 09/29/2016] [Indexed: 12/16/2022] Open
Abstract
Genome-wide association studies (GWASs) showed that two single nucleotide polymorphisms (SNPs) (rs17584499 and rs649891) in the protein tyrosine phosphatase receptor type D (PTPRD) were associated with type 2 diabetes (T2D). We sought to determine the influence of the PTPRD variants on the gestational diabetes mellitus (GDM) risk. In this research, two SNPs in PTPRD reported in T2D GWASs and six PTPRD expression-related SNPs were genotyped in 964 GDM cases and 1,021 controls using the Sequenom platform. Logistic regression analyses in additive models showed consistently significant associations of PTPRD rs10511544 A>C, rs10756026 T>A and rs10809070 C>G with a decreased risk of GDM [adjusted OR (95% CI) = 0.83 (0.72-0.97) for rs10511544; adjusted OR (95% CI) = 0.81 (0.70-0.94) for rs10756026; adjusted OR (95% CI) = 0.78 (0.65-0.92) for rs10809070]. Furthermore, the risk of GDM was significantly decreased with an increasing number of variant alleles of the three SNPs in a dose-dependent manner (Ptrend = 0.008). Moreover, the haplotype containing variant alleles of the three SNPs were significantly associated with a decreased risk of GDM [adjusted OR (95% CI) = 0.77 (0.64-0.92), P = 0.005], when compared with the most frequent haplotype. However, there were no significant associations for the SNPs reported in the T2D GWASs. Altogether, these findings indicate that the variants of rs10511544, rs10756026 and rs10809070 in PTPRD may contribute to a decreased susceptibility to GDM. Further validation in different ethnic backgrounds and biological function analyses are needed.
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Affiliation(s)
- Ting Chen
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China.,Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Juan Xu
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China.,Department of Obstetrics and Gynecology, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Guangquan Liu
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Heng Liu
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Minjian Chen
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China.,Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yufeng Qin
- Epigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Wei Wu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China.,Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China.,Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Chenbo Ji
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China.,Department of Children Health Care, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Xirong Guo
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China.,Department of Children Health Care, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Juan Wen
- Nanjing Maternity and Child Health Care Institute, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China.,Department of Children Health Care, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Xinru Wang
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China.,Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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10
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Recent advances in understanding the role of protein-tyrosine phosphatases in development and disease. Dev Biol 2017; 428:283-292. [PMID: 28728679 DOI: 10.1016/j.ydbio.2017.03.023] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Revised: 03/01/2017] [Accepted: 03/02/2017] [Indexed: 01/15/2023]
Abstract
Protein-tyrosine phosphatases (PTPs) remove phosphate groups from tyrosine residues, and thereby propagate or inhibit signal transduction, and hence influence cellular processes such as cell proliferation and differentiation. The importance of tightly controlled PTP activity is reflected by the numerous mechanisms employed by the cell to control PTP activity, including a variety of post-translational modifications, and restricted subcellular localization. This review highlights the strides made in the last decade and discusses the important role of PTPs in key aspects of embryonic development: the regulation of stem cell self-renewal and differentiation, gastrulation and somitogenesis during early embryonic development, osteogenesis, and angiogenesis. The tentative importance of PTPs in these processes is highlighted by the diseases that present upon aberrant activity.
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11
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Shim YJ, Kim JE, Hwang SK, Choi BS, Choi BH, Cho EM, Jang KM, Ko CW. Identification of Candidate Gene Variants in Korean MODY Families by Whole-Exome Sequencing. Horm Res Paediatr 2016; 83:242-51. [PMID: 25765181 DOI: 10.1159/000368657] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Accepted: 09/22/2014] [Indexed: 12/15/2022] Open
Abstract
AIMS To date, 13 genes causing maturity-onset diabetes of the young (MODY) have been identified. However, there is a big discrepancy in the genetic locus between Asian and Caucasian patients with MODY. Thus, we conducted whole-exome sequencing in Korean MODY families to identify causative gene variants. METHODS Six MODY probands and their family members were included. Variants in the dbSNP135 and TIARA databases for Koreans and the variants with minor allele frequencies >0.5% of the 1000 Genomes database were excluded. We selected only the functional variants (gain of stop codon, frameshifts and nonsynonymous single-nucleotide variants) and conducted a case-control comparison in the family members. The selected variants were scanned for the previously introduced gene set implicated in glucose metabolism. RESULTS Three variants c.620C>T:p.Thr207Ile in PTPRD, c.559C>G:p.Gln187Glu in SYT9, and c.1526T>G:p.Val509Gly in WFS1 were respectively identified in 3 families. We could not find any disease-causative alleles of known MODY 1-13 genes. Based on the predictive program, Thr207Ile in PTPRD was considered pathogenic. CONCLUSIONS Whole-exome sequencing is a valuable method for the genetic diagnosis of MODY. Further evaluation is necessary about the role of PTPRD, SYT9 and WFS1 in normal insulin release from pancreatic beta cells.
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Affiliation(s)
- Ye Jee Shim
- Department of Pediatrics, Kyungpook National University School of Medicine, Daegu, Republic of Korea
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12
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Estus JL, Fardo DW. Combining genetic association study designs: a GWAS case study. Front Genet 2013; 4:186. [PMID: 24098305 PMCID: PMC3784826 DOI: 10.3389/fgene.2013.00186] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2013] [Accepted: 09/03/2013] [Indexed: 01/06/2023] Open
Abstract
Genome-wide association studies (GWAS) explore the relationship between genome variability and disease susceptibility with either population- or family-based data. Here, we have evaluated the utility of combining population- and family-based statistical association tests and have proposed a method for reducing the burden of multiple testing. Unrelated singleton and parent-offspring trio cases and controls from the Genetics of Kidneys in Diabetes (GoKinD) study were analyzed for genetic association with diabetic nephropathy (DN) in type 1 diabetics (T1D). The Cochran-Armitage test for trend and the family-based association test were employed using either unrelated cases and controls or trios, respectively. In addition to combining single nucleotide polymorphism (SNP) p-values across these tests via Fisher's method, we employed a novel screening approach to rank SNPs based on conditional power for more efficient testing. Using either the population-based or family-based subset alone predictably limited resolution to detect DN SNPs. For 384,197 SNPs passing quality control (QC), none achieved strict genome-wide significance (1.4 × 10−7) using 1171 singletons (577/594 cases/controls) or 1738 pooled singletons and offspring probands (841/897). Similarly, none of the 352,004 SNPs passing QC in 567 family trios (264/303 case/control proband trios) reached genome-wide significance. Testing the top 10 SNPs ranked using aggregated conditional power resulted in two SNPs reaching genome-wide significance, rs11645147 on chromosome 16 (p = 1.74 × 10−4 < 0.05/10 = 0.005) and rs7866522 on chromosome 9 (p = 0.0033). Efficient usage of mixed designs incorporating both unrelated and family-based data may help to uncover associations otherwise difficult to detect in the presence of massive multiple testing corrections. Capitalizing on the strengths of both types while using screening approaches may be useful especially in light of large-scale, next-generation sequencing and rare variant studies.
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Affiliation(s)
- Janice L Estus
- Department of Biostatistics, University of Kentucky Lexington, KY, USA
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13
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Hendriks WJAJ, Pulido R. Protein tyrosine phosphatase variants in human hereditary disorders and disease susceptibilities. Biochim Biophys Acta Mol Basis Dis 2013; 1832:1673-96. [PMID: 23707412 DOI: 10.1016/j.bbadis.2013.05.022] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2013] [Revised: 05/14/2013] [Accepted: 05/16/2013] [Indexed: 12/18/2022]
Abstract
Reversible tyrosine phosphorylation of proteins is a key regulatory mechanism to steer normal development and physiological functioning of multicellular organisms. Phosphotyrosine dephosphorylation is exerted by members of the super-family of protein tyrosine phosphatase (PTP) enzymes and many play such essential roles that a wide variety of hereditary disorders and disease susceptibilities in man are caused by PTP alleles. More than two decades of PTP research has resulted in a collection of PTP genetic variants with corresponding consequences at the molecular, cellular and physiological level. Here we present a comprehensive overview of these PTP gene variants that have been linked to disease states in man. Although the findings have direct bearing for disease diagnostics and for research on disease etiology, more work is necessary to translate this into therapies that alleviate the burden of these hereditary disorders and disease susceptibilities in man.
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Affiliation(s)
- Wiljan J A J Hendriks
- Department of Cell Biology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
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Variants of insulin-signaling inhibitor genes in type 2 diabetes and related metabolic abnormalities. Int J Genomics 2013; 2013:376454. [PMID: 23762820 PMCID: PMC3674720 DOI: 10.1155/2013/376454] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2013] [Accepted: 04/23/2013] [Indexed: 02/08/2023] Open
Abstract
Insulin resistance has a central role in the pathogenesis of several metabolic diseases, including type 2 diabetes, obesity, glucose intolerance, metabolic syndrome, atherosclerosis, and cardiovascular diseases. Insulin resistance and related traits are likely to be caused by abnormalities in the genes encoding for proteins involved in the composite network of insulin-signaling; in this review we have focused our attention on genetic variants of insulin-signaling inhibitor molecules. These proteins interfere with different steps in insulin-signaling: ENPP1/PC-1 and the phosphatases PTP1B and PTPRF/LAR inhibit the insulin receptor activation; INPPL1/SHIP-2 hydrolyzes PI3-kinase products, hampering the phosphoinositide-mediated downstream signaling; and TRIB3 binds the serine-threonine kinase Akt, reducing its phosphorylation levels. While several variants have been described over the years for all these genes, solid evidence of an association with type 2 diabetes and related diseases seems to exist only for rs1044498 of the ENPP1 gene and for rs2295490 of the TRIB3 gene. However, overall the data recapitulated in this Review article may supply useful elements to interpret the results of novel, more technically advanced genetic studies; indeed it is becoming increasingly evident that genetic information on metabolic diseases should be interpreted taking into account the complex biological pathways underlying their pathogenesis.
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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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16
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Chang YC, Chiu YF, Liu PH, Shih KC, Lin MW, Sheu WHH, Quertermous T, Curb JD, Hsiung CA, Lee WJ, Lee PC, Chen YT, Chuang LM. Replication of genome-wide association signals of type 2 diabetes in Han Chinese in a prospective cohort. Clin Endocrinol (Oxf) 2012; 76:365-72. [PMID: 21767287 DOI: 10.1111/j.1365-2265.2011.04175.x] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND A recent genome-wide association study for type 2 diabetes in Han Chinese identified several novel genetic variants. We investigated their associations with quantitative measures to explore the mechanism by which these variants influence glucose homoeostasis. We also examined whether these variants predict progression to diabetes in a large prospective family based Chinese cohort. METHODS Five single nucleotide polymorphisms (SNPs) near the protein tyrosine phosphatase, receptor type, D (PTPRD), SRR, MAF/WWOX, and KCNQ1 genes were genotyped in 1138 subjects of Chinese origin from the Stanford Asia-Pacific Program for Hypertension and Insulin Resistance study. RESULTS At baseline, the risk-conferring rs7192960 C allele near the MAF/WWOX genes was associated with lower homoeostasis model assessment of β-cell (HOMA-β) (P = 0·01) and second-phase insulin response in oral glucose tolerance test (OGTT) (P = 0·04). The risk-conferring rs2237897 C alleles in the KCNQ1 gene were associated with higher fasting glucose (P = 0·009), lower HOMA-β (P = 0·03), and lower first-phase insulin response in OGTT (P = 0·03). Over an average follow-up period of 5·43 years, participants with the risk-conferring rs17584499 TT genotype in the PTPRD gene were more likely to progress from nondiabetes to diabetes than were noncarriers (hazard ratio: 8·82, P = 4 × 10(-5) ). The risk-conferring T allele in the PTPRD gene was associated with greater increase in homoeostasis model assessment of insulin resistance (HOMA-IR) (P = 0·04) over time. PTPRD gene expression in human adipose tissues was negatively associated with fasting insulin levels and HOMA-IR. CONCLUSION Genetic variants near the KCNQ1 and MAF/WWOX genes are associated with reduced insulin secretion. The PTPRD genetic variant appears to be associated with progression to diabetes in Han Chinese, most likely through increased insulin resistance.
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Affiliation(s)
- Yi-Cheng Chang
- Department of Internal Medicine, National Taiwan University Hospital, 7 Chung-Shan South Road,Taipei, Taiwan
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Below JE, Gamazon ER, Morrison JV, Konkashbaev A, Pluzhnikov A, McKeigue PM, Parra EJ, Elbein SC, Hallman DM, Nicolae DL, Bell GI, Cruz M, Cox NJ, Hanis CL. Genome-wide association and meta-analysis in populations from Starr County, Texas, and Mexico City identify type 2 diabetes susceptibility loci and enrichment for expression quantitative trait loci in top signals. Diabetologia 2011; 54:2047-55. [PMID: 21647700 PMCID: PMC3761075 DOI: 10.1007/s00125-011-2188-3] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2011] [Accepted: 04/14/2011] [Indexed: 12/11/2022]
Abstract
AIMS/HYPOTHESIS We conducted genome-wide association studies (GWASs) and expression quantitative trait loci (eQTL) analyses to identify and characterise risk loci for type 2 diabetes in Mexican-Americans from Starr County, TX, USA. METHOD Using 1.8 million directly interrogated and imputed genotypes in 837 unrelated type 2 diabetes cases and 436 normoglycaemic controls, we conducted Armitage trend tests. To improve power in this population with high disease rates, we also performed ordinal regression including an intermediate class with impaired fasting glucose and/or glucose tolerance. These analyses were followed by meta-analysis with a study of 967 type 2 diabetes cases and 343 normoglycaemic controls from Mexico City, Mexico. RESULT The top signals (unadjusted p value <1 × 10(-5)) included 49 single nucleotide polymorphisms (SNPs) in eight gene regions (PER3, PARD3B, EPHA4, TOMM7, PTPRD, HNT [also known as RREB1], LOC729993 and IL34) and six intergenic regions. Among these was a missense polymorphism (rs10462020; Gly639Val) in the clock gene PER3, a system recently implicated in diabetes. We also report a second signal (minimum p value 1.52 × 10(-6)) within PTPRD, independent of the previously implicated SNP, in a population of Han Chinese. Top meta-analysis signals included known regions HNF1A and KCNQ1. Annotation of top association signals in both studies revealed a marked excess of trans-acting eQTL in both adipose and muscle tissues. CONCLUSIONS/INTERPRETATION In the largest study of type 2 diabetes in Mexican populations to date, we identified modest associations of novel and previously reported SNPs. In addition, in our top signals we report significant excess of SNPs that predict transcript levels in muscle and adipose tissues.
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Affiliation(s)
- J. E. Below
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - E. R. Gamazon
- Section of Genetic Medicine, KCBD 3220, University of Chicago, 900 E 57th Street, Chicago, IL 60637, USA
| | - J. V. Morrison
- Section of Genetic Medicine, KCBD 3220, University of Chicago, 900 E 57th Street, Chicago, IL 60637, USA
| | - A. Konkashbaev
- Section of Genetic Medicine, KCBD 3220, University of Chicago, 900 E 57th Street, Chicago, IL 60637, USA
| | - A. Pluzhnikov
- Section of Genetic Medicine, KCBD 3220, University of Chicago, 900 E 57th Street, Chicago, IL 60637, USA
| | - P. M. McKeigue
- Public Health Sciences Section, Division of Community Health Sciences, University of Edinburgh Medical School, Edinburgh, UK
| | - E. J. Parra
- Department of Anthropology, University of Toronto, Mississauga, ON, Canada
| | - S. C. Elbein
- Section on Endocrinology and Metabolism, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - D. M. Hallman
- Human Genetics Center, University of Texas Health Science Center at Houston, P.O. Box 20186, Houston, TX 77225, USA
| | - D. L. Nicolae
- Department of Human Genetics, University of Chicago, Chicago, IL, USA. Section of Genetic Medicine, KCBD 3220, University of Chicago, 900 E 57th Street, Chicago, IL 60637, USA. Department of Statistics, University of Chicago, Chicago, IL, USA. Department of Medicine, University of Chicago, Chicago, IL, USA
| | - G. I. Bell
- Department of Human Genetics, University of Chicago, Chicago, IL, USA. Department of Medicine, University of Chicago, Chicago, IL, USA
| | - M. Cruz
- Unidad de Investigacion Medica en Bioquimica, Hospital de Especialidades, Centro Medico ‘Siglo XXI’, IMSS, Mexico City, Mexico
| | - N. J. Cox
- Department of Human Genetics, University of Chicago, Chicago, IL, USA. Section of Genetic Medicine, KCBD 3220, University of Chicago, 900 E 57th Street, Chicago, IL 60637, USA. Department of Medicine, University of Chicago, Chicago, IL, USA. Section of Genetic Medicine, University of Chicago, KCBD 3220, 900 E 57th Street, Chicago, IL 60637, USA
| | - C. L. Hanis
- Human Genetics Center, University of Texas Health Science Center at Houston, P.O. Box 20186, Houston, TX 77225, USA
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Izuchi R, Nakai Y, Takahashi H, Ushiama S, Okada S, Misaka T, Abe K. Hepatic gene expression of the insulin signaling pathway is altered by administration of persimmon peel extract: a DNA microarray study using type 2 diabetic Goto-Kakizaki rats. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2011; 59:3320-3329. [PMID: 21370910 DOI: 10.1021/jf102422z] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Persimmon (Diospyros kaki) is a very popular fruit in East Asian countries, but its peels are not consumed despite the fact that they contain many antioxidants such as carotenoids and polyphenols. We prepared a fat-soluble extract from persimmon peel (PP) and fed type 2 diabetic Goto-Kakizaki (GK) rats an AIN-93G rodent diet supplemented with persimmon peel extract (PP diet) for 12 weeks. Compared with the control AIN-93G diet, the PP diet significantly reduced plasma glutamic-pyruvate transaminase activity, with accumulation of β-cryptoxanthin in the liver. DNA microarray analysis revealed that the PP diet altered hepatic gene expression profiles. In particular, expression of insulin signaling pathway-related genes was significantly enriched in differentially expressed gene sets. Moreover, Western blotting analysis showed an increase in insulin receptor beta tyrosine phosphorylation in rats fed the PP diet. These data suggest that the PP diet improves insulin resistance in GK rats.
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Affiliation(s)
- Ryoichi Izuchi
- Toyo Institute of Food Technology, Kawanishi-shi, Hyogo, Japan.
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Tsai FJ, Yang CF, Chen CC, Chuang LM, Lu CH, Chang CT, Wang TY, Chen RH, Shiu CF, Liu YM, Chang CC, Chen P, Chen CH, Fann CSJ, Chen YT, Wu JY. A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese. PLoS Genet 2010; 6:e1000847. [PMID: 20174558 PMCID: PMC2824763 DOI: 10.1371/journal.pgen.1000847] [Citation(s) in RCA: 257] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2009] [Accepted: 01/18/2010] [Indexed: 12/16/2022] Open
Abstract
To investigate the underlying mechanisms of T2D pathogenesis, we looked for diabetes susceptibility genes that increase the risk of type 2 diabetes (T2D) in a Han Chinese population. A two-stage genome-wide association (GWA) study was conducted, in which 995 patients and 894 controls were genotyped using the Illumina HumanHap550-Duo BeadChip for the first genome scan stage. This was further replicated in 1,803 patients and 1,473 controls in stage 2. We found two loci not previously associated with diabetes susceptibility in and around the genes protein tyrosine phosphatase receptor type D (PTPRD) (P = 8.54×10−10; odds ratio [OR] = 1.57; 95% confidence interval [CI] = 1.36–1.82), and serine racemase (SRR) (P = 3.06×10−9; OR = 1.28; 95% CI = 1.18–1.39). We also confirmed that variants in KCNQ1 were associated with T2D risk, with the strongest signal at rs2237895 (P = 9.65×10−10; OR = 1.29, 95% CI = 1.19–1.40). By identifying two novel genetic susceptibility loci in a Han Chinese population and confirming the involvement of KCNQ1, which was previously reported to be associated with T2D in Japanese and European descent populations, our results may lead to a better understanding of differences in the molecular pathogenesis of T2D among various populations. Type 2 diabetes (T2D) is a complex disease that involves many genes and environmental factors. Genome-wide and candidate-gene association studies have thus far identified at least 19 regions containing genes that may confer a risk for T2D. However, most of these studies were conducted with patients of European descent. We studied Chinese patients with T2D and identified two genes, PTPRD and SRR, that were not previously known to be involved in diabetes and are involved in biological pathways different from those implicated in T2D by previous association reports. PTPRD is a protein tyrosine phosphatase and may affect insulin signaling on its target cells. SRR encodes a serine racemase that synthesizes D-serine from L-serine. Both D-serine (coagonist) and the neurotransmitter glutamate bind to NMDA receptors and trigger excitatory neurotransmission in the brain. Glutamate signaling also regulates insulin and glucagon secretion in pancreatic islets. Thus, SRR and D-serine, in addition to regulating insulin and glucagon secretion, may play a role in the etiology of T2D. Our study suggests that, in different patient populations, different genes may confer risks for diabetes. Our findings may lead to a better understanding of the molecular pathogenesis of T2D.
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Affiliation(s)
- Fuu-Jen Tsai
- School of Post-Baccalaureate Chinese Medicine, China Medical University, Taichung, Taiwan
- Department of Medical Genetics, Pediatrics and Medical Research, China Medical University Hospital, Taichung, Taiwan
- Department of Biotechnology and Bioinformatics, Asia University, Taichung, Taiwan
| | - Chi-Fan Yang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- National Genotyping Center, Academia Sinica, Taipei, Taiwan
| | - Ching-Chu Chen
- Division of Endocrinology and Metabolism, Department of Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Lee-Ming Chuang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chieh-Hsiang Lu
- Department of Internal Medicine, Endocrinology and Metabolism, Chia-Yi Christian Hospital, Chia-Yi, Taiwan
| | - Chwen-Tzuei Chang
- Division of Endocrinology and Metabolism, Department of Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Tzu-Yuan Wang
- Division of Endocrinology and Metabolism, Department of Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Rong-Hsing Chen
- Division of Endocrinology and Metabolism, Department of Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Chiung-Fang Shiu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yi-Min Liu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Chih-Chun Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Pei Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- National Genotyping Center, Academia Sinica, Taipei, Taiwan
| | - Cathy S. J. Fann
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- National Genotyping Center, Academia Sinica, Taipei, Taiwan
- Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, United States of America
- * E-mail: (Y-TC); (J-YW)
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- National Genotyping Center, Academia Sinica, Taipei, Taiwan
- Graduate Institute of Chinese Medical Science, China Medical University, Taichung, Taiwan
- * E-mail: (Y-TC); (J-YW)
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Uetani N, Bertozzi K, Chagnon MJ, Hendriks W, Tremblay ML, Bouchard M. Maturation of ureter-bladder connection in mice is controlled by LAR family receptor protein tyrosine phosphatases. J Clin Invest 2009; 119:924-35. [PMID: 19273906 DOI: 10.1172/jci37196] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2008] [Accepted: 01/21/2009] [Indexed: 01/13/2023] Open
Abstract
Congenital anomalies affecting the ureter-bladder junction are frequent in newborns and are often associated with other developmental defects. However, the molecular and morphological processes underlying these malformations are still poorly defined. In this study, we identified the leukocyte antigen-related (LAR) family protein tyrosine phosphatase, receptor type, S and F (Ptprs and Ptprf [also known as Lar], respectively), as crucially important for distal ureter maturation and craniofacial morphogenesis in the mouse. Embryos lacking both Ptprs and Ptprf displayed severe urogenital malformations, characterized by hydroureter and ureterocele, and craniofacial defects such as cleft palate, micrognathia, and exencephaly. The detailed analysis of distal ureter maturation, the process by which the ureter is displaced toward its final position in the bladder wall, leads us to propose a revised model of ureter maturation in normal embryos. This process was deficient in embryos lacking Ptprs and Ptprf as a result of a marked reduction in intrinsic programmed cell death, thereby causing urogenital system malformations. In cell culture, Ptprs bound and negatively regulated the phosphorylation and signaling of the Ret receptor tyrosine kinase, whereas Ptprs-induced apoptosis was inhibited by Ret expression. Together, these results suggest that ureter positioning is controlled by the opposing actions of Ret and LAR family phosphatases regulating apoptosis-mediated tissue morphogenesis.
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Affiliation(s)
- Noriko Uetani
- Goodman Cancer Centre, Department of Biochemistry, McGill University, Montreal, Quebec, Canada
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21
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Hendriks WJAJ, Elson A, Harroch S, Stoker AW. Protein tyrosine phosphatases: functional inferences from mouse models and human diseases. FEBS J 2008; 275:816-30. [DOI: 10.1111/j.1742-4658.2008.06249.x] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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