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Selvaraj MS, Paruchuri K, Haidermota S, Bernardo R, Rich SS, Peloso GM, Natarajan P. Genome-wide discovery for diabetes-dependent triglycerides-associated loci. PLoS One 2022; 17:e0275934. [PMID: 36269708 PMCID: PMC9586367 DOI: 10.1371/journal.pone.0275934] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 09/26/2022] [Indexed: 11/29/2022] Open
Abstract
PURPOSE We aimed to discover loci associated with triglyceride (TG) levels in the context of type 2 diabetes (T2D). We conducted a genome-wide association study (GWAS) in 424,120 genotyped participants of the UK Biobank (UKB) with T2D status and TG levels. METHODS We stratified the cohort based on T2D status and conducted association analyses of TG levels for genetic variants with minor allele count (MAC) at least 20 in each stratum. Effect differences of genetic variants by T2D status were determined by Cochran's Q-test and we validated the significantly associated variants in the Mass General Brigham Biobank (MGBB). RESULTS Among 21,176 T2D and 402,944 non-T2D samples from UKB, stratified GWAS identified 19 and 315 genomic risk loci significantly associated with TG levels, respectively. Only chr6p21.32 exhibited genome-wide significant heterogeneity (I2 = 98.4%; pheterogeneity = 2.1x10-15), with log(TG) effect estimates of -0.066 (95%CI: -0.082, -0.050) and 0.002 (95%CI: -0.002, 0.006) for T2D and non-T2D, respectively. The lead variant rs9274619:A (allele frequency 0.095) is located 2Kb upstream of the HLA-DQB1 gene, between HLA-DQB1 and HLA-DQA2 genes. We replicated this finding among 25,137 participants (6,951 T2D cases) of MGBB (pheterogeneity = 9.5x10-3). Phenome-wide interaction association analyses showed that the lead variant was strongly associated with a concomitant diagnosis of type 1 diabetes (T1D) as well as diabetes-associated complications. CONCLUSION In conclusion, we identified an intergenic variant near HLA-DQB1/DQA2 significantly associates with decreased triglycerides only among those with T2D and highlights an immune overlap with T1D.
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Affiliation(s)
- Margaret Sunitha Selvaraj
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
| | - Kaavya Paruchuri
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, United States of America
| | - Sara Haidermota
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, United States of America
| | - Rachel Bernardo
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, United States of America
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - Pradeep Natarajan
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, United States of America
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
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De Silva K, Demmer RT, Jönsson D, Mousa A, Forbes A, Enticott J. Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: a bioinformatics analytic workflow. Funct Integr Genomics 2022; 22:1003-1029. [PMID: 35788821 PMCID: PMC9255467 DOI: 10.1007/s10142-022-00881-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 06/19/2022] [Accepted: 06/24/2022] [Indexed: 11/28/2022]
Abstract
Type 2 diabetes (T2D) has a complex etiology which is not yet fully elucidated. The identification of gene perturbations and hub genes of T2D may deepen our understanding of its genetic basis. We aimed to identify highly perturbed genes and hub genes associated with T2D via an extensive bioinformatics analytic workflow consisting of five steps: systematic review of Gene Expression Omnibus and associated literature; identification and classification of differentially expressed genes (DEGs); identification of highly perturbed genes via meta-analysis; identification of hub genes via network analysis; and downstream analysis of highly perturbed genes and hub genes. Three meta-analytic strategies, random effects model, vote-counting approach, and p value combining approach, were applied. Hub genes were defined as those nodes having above-average betweenness, closeness, and degree in the network. Downstream analyses included gene ontologies, Kyoto Encyclopedia of Genes and Genomes pathways, metabolomics, COVID-19-related gene sets, and Genotype-Tissue Expression profiles. Analysis of 27 eligible microarrays identified 6284 DEGs (4592 downregulated and 1692 upregulated) in four tissue types. Tissue-specific gene expression was significantly greater than tissue non-specific (shared) gene expression. Analyses revealed 79 highly perturbed genes and 28 hub genes. Downstream analyses identified enrichments of shared genes with certain other diabetes phenotypes; insulin synthesis and action-related pathways and metabolomics; mechanistic associations with apoptosis and immunity-related pathways; COVID-19-related gene sets; and cell types demonstrating over- and under-expression of marker genes of T2D. Our approach provided valuable insights on T2D pathogenesis and pathophysiological manifestations. Broader utility of this pipeline beyond T2D is envisaged.
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Affiliation(s)
- Kushan De Silva
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, 3168, Australia.
| | - Ryan T Demmer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.,Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Daniel Jönsson
- Department of Periodontology, Faculty of Odontology, Malmö University, 21119, Malmö, Sweden.,Department of Clinical Sciences, Lund University, 21428, Malmö, Sweden
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, 3168, Australia
| | - Andrew Forbes
- Biostatistics Unit, Division of Research Methodology, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Melbourne, 3004, Australia
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, 3168, Australia
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Thomas S, Ouhtit A, Al Khatib HA, Eid AH, Mathew S, Nasrallah GK, Emara MM, Al Maslamani MA, Yassine HM. Burden and Disease Pathogenesis of Influenza and Other Respiratory Viruses in Diabetic Patients. J Infect Public Health 2022; 15:412-424. [DOI: 10.1016/j.jiph.2022.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 02/24/2022] [Accepted: 03/07/2022] [Indexed: 02/07/2023] Open
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Wang Z, Zhang J, Xu H, Chen L, Dove A. Development and Validation of a Prevalence Model for Latent Autoimmune Diabetes in Adults (LADA) Among Patients First Diagnosed with Type 2 Diabetes Mellitus (T2DM). Med Sci Monit 2021; 27:e932725. [PMID: 34521804 PMCID: PMC8451248 DOI: 10.12659/msm.932725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Background We designed this study to develop and validate a prevalence model for latent autoimmune diabetes in adults (LADA) among people initially diagnosed with type 2 diabetes mellitus (T2DM). Material/Methods The study recruited 930 patients aged ≥18 years who were diagnosed with T2DM within the past year. Demographic information, medical history, and clinical biochemistry records were collected. Logistic regression was used to develop a regression model to distinguish LADA from T2DM. Predictors of LADA were identified in a subgroup of patients (n=632) by univariate logistic regression analysis. From this we developed a prediction model using multivariate logistic regression analysis and tested its sensitivity and specificity among the remaining patients (n=298). Results Among 930 recruited patients, 880 had T2DM (96.4%) and 50 had LADA (5.4%). Compared to T2DM patients, LADA patients had fewer surviving β cells and reduced insulin production. We identified age, ketosis, history of tobacco smoking, 1-hour plasma glucose (1hPG-AUC), and 2-hour C-peptide (2hCP-AUC) as the main predictive factors for LADA (P<0.05). Based on this, we developed a multivariable logistic regression model: Y=−8.249−0.035(X1)+1.755(X2)+1.008(X3)+0.321(X4)−0.126(X5), where Y is diabetes status (0=T2DM, 1=LADA), X1 is age, X2 is ketosis (1=no, 2=yes), X3 is history of tobacco smoking (1=no, 2=yes), X4 is 1hPG-AUC, and X5 is 2hCP-AUC. The model has high sensitivity (78.57%) and selectivity (67.96%). Conclusions This model can be applied to people newly diagnosed with T2DM. When Y ≥0.0472, total autoantibody screening is recommended to assess LADA.
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Affiliation(s)
- Zhida Wang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China (mainland)
| | - Jie Zhang
- Department of Endocrinology and Metabolism, The Third Central Hospital of Tianjin, Tianjin, China (mainland)
| | - Hui Xu
- Big Data Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China (mainland)
| | - Liming Chen
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China (mainland)
| | - Abigail Dove
- Aging Research Center, Department Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Sweden, Sweden
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Elhourch S, Arrouchi H, Mekkaoui N, Allou Y, Ghrifi F, Allam L, Elhafidi N, Belyamani L, Ibrahimi A, Elomri N, Eljaoudi R. Significant Association of Polymorphisms in the TCF7L2 Gene with a Higher Risk of Type 2 Diabetes in a Moroccan Population. J Pers Med 2021; 11:jpm11060461. [PMID: 34073870 PMCID: PMC8225140 DOI: 10.3390/jpm11060461] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 12/06/2022] Open
Abstract
Background and aims: Several studies have shown that genetic polymorphisms of the transcription factor 7-like 2 (TCF7L2) are highly associated with the development of type 2 diabetes mellitus (T2DM) and its associated complications in several populations. The aim of our study was to investigate the association of the rs7903146 (C/T) and rs12255372 (G/T) polymorphism in the TCF7L2 gene with the risk of developing T2DM in the Moroccan population. Material and methods: A total of 150 T2DM patients and 100 healthy controls were recruited for various anthropometric, biochemical and genetic parameters. Genotyping was performed by using Real Time-PCR. The frequency of genotypes, alleles, anthropometric measures, glycemia, glycated hemoglobin (HbA1c) were evaluated in patients and control, while lipid profile was available only for T2DM group. Results: Glycemia, HbA1c and body mass index (BMI) were significantly higher in T2DM group than control. Analysis of the distribution of the TCF7L2 rs7903146 genotype and allele revealed that the TT genotype was more frequent in T2DM group (24.0%) than in healthy controls (5%) (OR = 4.08, 95% confidence interval (CI = 1.95–11.80, p < 0.0001). The T allele was more frequent in diabetic patients (45.2%) than healthy control (34.5%) and it was associated with high risk of diabetes (OR = 2.13, 95% CI = 1.12–7.31, p = 0.005). The same results were found regarding rs12255372, TT genotype frequencies were 18,7% and 6.0% in T2DM and control group, respectively (OR = 3.11, 95% CI = 1.33–7.24, p = 0.004). The T allele was over-presented in diabetics compared to controls (45.3% and 38.0%, respectively) and increases the risk of T2DM (OR = 2.01, 95% CI = 1.04–3.10, p = 0.01). However, there was no significant difference between the three genotypes of rs7903146 and rs12255372 regarding age, BMI, glycemia, HbA1c and lipid profile. Conclusion: The present study confirmed a significant association of the TCF7L2 gene (rs7903146 (C/T) and rs12255372 (G/T) polymorphisms with a higher risk to T2DM in the Moroccan population. No significant difference in respect to anthropometric and metabolic parameters between different genotypes.
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Affiliation(s)
- Sarah Elhourch
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Housna Arrouchi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Nour Mekkaoui
- Clinical Research and Epidemiology Biostatistics Laboratory, Rabat Medical & Pharmacy School, Mohammed Vth University in Rabat, 10000 Rabat, Morocco;
| | - Younes Allou
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Fatima Ghrifi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Loubna Allam
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Naima Elhafidi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
- Immuno-Allergology Unit Children’s Hospital, 10000 Rabat, Morocco
| | - Lahcen Belyamani
- Military Hospital Mohammed V, Rabat Medical & Pharmacy School, Mohammed Vth University in Rabat, 10000 Rabat, Morocco; (L.B.); (N.E.)
| | - Azeddine Ibrahimi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Naoual Elomri
- Military Hospital Mohammed V, Rabat Medical & Pharmacy School, Mohammed Vth University in Rabat, 10000 Rabat, Morocco; (L.B.); (N.E.)
| | - Rachid Eljaoudi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
- Correspondence:
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Kaur S, Mirza AH, Overgaard AJ, Pociot F, Størling J. A Dual Systems Genetics Approach Identifies Common Genes, Networks, and Pathways for Type 1 and 2 Diabetes in Human Islets. Front Genet 2021; 12:630109. [PMID: 33777101 PMCID: PMC7987941 DOI: 10.3389/fgene.2021.630109] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 02/16/2021] [Indexed: 12/13/2022] Open
Abstract
Type 1 and 2 diabetes (T1/2D) are complex metabolic diseases caused by absolute or relative loss of functional β-cell mass, respectively. Both diseases are influenced by multiple genetic loci that alter disease risk. For many of the disease-associated loci, the causal candidate genes remain to be identified. Remarkably, despite the partially shared phenotype of the two diabetes forms, the associated loci for T1D and T2D are almost completely separated. We hypothesized that some of the genes located in risk loci for T1D and T2D interact in common pancreatic islet networks to mutually regulate important islet functions which are disturbed by disease-associated variants leading to β-cell dysfunction. To address this, we took a dual systems genetics approach. All genes located in 57 T1D and 243 T2D established genome-wide association studies (GWAS) loci were extracted and filtered for genes expressed in human islets using RNA sequencing data, and then integrated with; (1) human islet expression quantitative trait locus (eQTL) signals in linkage disequilibrium (LD) with T1D- and T2D-associated variants; or (2) with genes transcriptionally regulated in human islets by pro-inflammatory cytokines or palmitate as in vitro models of T1D and T2D, respectively. Our in silico systems genetics approaches created two interaction networks consisting of densely-connected T1D and T2D loci genes. The "T1D-T2D islet eQTL interaction network" identified 9 genes (GSDMB, CARD9, DNLZ, ERAP1, PPIP5K2, TMEM69, SDCCAG3, PLEKHA1, and HEMK1) in common T1D and T2D loci that harbor islet eQTLs in LD with disease-associated variants. The "cytokine and palmitate islet interaction network" identified 4 genes (ASCC2, HIBADH, RASGRP1, and SRGAP2) in common T1D and T2D loci whose expression is mutually regulated by cytokines and palmitate. Functional annotation analyses of the islet networks revealed a number of significantly enriched pathways and molecular functions including cell cycle regulation, inositol phosphate metabolism, lipid metabolism, and cell death and survival. In summary, our study has identified a number of new plausible common candidate genes and pathways for T1D and T2D.
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Affiliation(s)
- Simranjeet Kaur
- Department of Translational T1D Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Aashiq H Mirza
- Department of Pharmacology, Weill Cornell Medicine, New York, NY, United States
| | - Anne J Overgaard
- Department of Translational T1D Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Flemming Pociot
- Department of Translational T1D Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark.,Pediatric Department E, University Hospital, Herlev, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Joachim Størling
- Department of Translational T1D Research, Steno Diabetes Center Copenhagen, Gentofte, Denmark.,Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
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Kallionpää RA, Peltonen S, Leppävirta J, Pöyhönen M, Auranen K, Järveläinen H, Peltonen J. Haploinsufficiency of the NF1 gene is associated with protection against diabetes. J Med Genet 2020; 58:378-384. [PMID: 32571896 PMCID: PMC8142421 DOI: 10.1136/jmedgenet-2020-107062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/08/2020] [Accepted: 05/11/2020] [Indexed: 12/15/2022]
Abstract
Background The hereditary predisposition to diabetes is only partially explained by genes identified so far. Neurofibromatosis type 1 (NF1) is a rare monogenic dominant syndrome caused by aberrations of the NF1 gene. Here, we used a cohort of 1410 patients with NF1 to study the association of the NF1 gene with type 1 (T1D) and type 2 diabetes (T2D). Methods A total of 1410 patients were confirmed to fulfil the National Institutes of Health diagnostic criteria for NF1 by individually reviewing their medical records. The patients with NF1 were compared with 14 017 controls matched for age, sex and area of residence as well as 1881 non-NF1 siblings of the patients with NF1. Register-based information on purchases of antidiabetic medication and hospital encounters related to diabetes were retrieved. The Cox proportional hazards model was used to calculate the relative risk for diabetes in NF1. Results Patients with NF1 showed a lower rate of T2D when compared with a 10-fold control cohort (HR 0.27, 95% CI 0.17 to 0.43) or with their siblings without NF1 (HR 0.28, 95% CI 0.16 to 0.47). The estimates remained practically unchanged after adjusting the analyses for history of obesity and dyslipidaemias. The rate of T1D in NF1 was decreased although statistically non-significantly (HR 0.58, 95% CI 0.27 to 1.25). Conclusion Haploinsufficiency of the NF1 gene may protect against T2D and probably T1D. Since NF1 negatively regulates the Ras signalling pathway, the results suggest that the Ras pathway may be involved in the pathogenesis of diabetes.
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Affiliation(s)
| | - Sirkku Peltonen
- Department of Dermatology and Venereology, University of Turku, Turku, Finland.,Department of Dermatology, Turku University Hospital, Turku, Finland
| | - Jussi Leppävirta
- Department of Clinical Genetics, HUSLAB, Helsinki University Hospital (HUS) Diagnostic Center, Helsinki, Finland.,Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
| | - Minna Pöyhönen
- Department of Clinical Genetics, HUSLAB, Helsinki University Hospital (HUS) Diagnostic Center, Helsinki, Finland.,Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
| | - Kari Auranen
- Department of Mathematics and Statistics and Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Hannu Järveläinen
- Institute of Biomedicine, University of Turku, Turku, Finland.,Department of Internal Medicine, Satakunta Central Hospital, Pori, Finland
| | - Juha Peltonen
- Institute of Biomedicine, University of Turku, Turku, Finland
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8
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Transcription factor 7-like 2 gene, rs12255372 (G/T) variant and susceptibility to type 2 diabetes mellitus in North Indians. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100595] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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9
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Muftin NQ, Jubair S. KCNJ11 polymorphism is associated with type 2 diabetes mellitus in Iraqi patients. GENE REPORTS 2019. [DOI: 10.1016/j.genrep.2019.100480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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10
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Ramu D, Perumal V, Paul SFD. Association of common type 1 and type 2 diabetes gene variants with latent autoimmune diabetes in adults: A meta-analysis. J Diabetes 2019; 11:484-496. [PMID: 30456822 DOI: 10.1111/1753-0407.12879] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 11/09/2018] [Accepted: 11/13/2018] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The aim of this meta-analysis was to determine the association of common type 1 diabetes (T1D) and type 2 diabetes (T2D) gene variants (protein tyrosine phosphatase non-receptor 22 [PTPN22] rs2476601C/T, insulin [INS] rs689A/T and transcription factor 7-like 2 [TCF7L2] rs7903146C/T) with latent autoimmune diabetes in adults (LADA). METHODS A systematic search of electronic databases was conducted up to 2017 and data from 16 independent case-control studies for three gene variants were pooled. The pooled allele and genotype frequencies for each T1D and T2D gene variant were used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to assess the strength of the association. Heterogeneity tests and evaluation of publication bias were performed for all studies. RESULTS In all, 8869 cases and 20 829 controls pooled from 16 case-control studies were included in the analysis. For rs2476601, a significant association was found for homozygote TT (OR 2.67; 95% CI 1.92-3.70; P < 0.0001), heterozygote CT (OR 1.61; 95% CI 1.44-1.79; P < 0.0001), and the T allele (OR 1.62; 95% CI 1.48-1.78; P < 0.0001). Overall, a significant inverse association was observed for rs689 in the TT genotype (OR 0.43; 95% CI 0.30-0.64; P < 0.0001), AT genotype (OR 0.53; 95% CI 0.45-0.62; P < 0.0001), and T allele (OR 0.61; 95% CI 0.52-0.71; P < 0.0001). For the rs7903146 polymorphism, the T allele (OR 1.19; 95% CI 1.00-1.40; P = 0.04) may be associated with the risk of LADA. CONCLUSION The rs2476601C/T, rs689A/T, and rs7903146C/T polymorphisms were found to be associated with the risk of LADA, thereby indicating that, genetically, LADA could be an admixture of both T1D and T2D.
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Affiliation(s)
- Deepika Ramu
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | | | - Solomon F D Paul
- Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
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Mi W, Xia Y, Bian Y. The influence of ICAM1 rs5498 on diabetes mellitus risk: evidence from a meta-analysis. Inflamm Res 2019; 68:275-284. [PMID: 30798334 DOI: 10.1007/s00011-019-01220-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 02/12/2019] [Accepted: 02/19/2019] [Indexed: 01/04/2023] Open
Abstract
OBJECTIVES Both type 1 diabetes (T1D) and type 2 diabetes (T2D) are classified as forms of diabetes mellitus (DM) and commonly considered inflammatory process. Intercellular adhesion molecule-1 (ICAM-1) is involved in the development and progression of diabetes mellitus. However, the genetic association between ICAM-1 rs5498, and T1D and T2D risk was inconclusive. MATERIALS AND METHODS A meta-analysis by searching the PubMed, Embase, Cochrane Library, and Chinese National Knowledge Infrastructure (CNKI) databases was performed out. The pooled odds ratio (OR) and 95% confidence interval (CI) were used to describe the strength of association of T1D and T2D risk. RESULTS A total of 14 studies encompassing 3233 cases and 2884 controls were included in the present meta-analysis. Significant associations were found between the allele and recessive models of ICAM1 rs5498 and DM in Asian population (allele: OR 1.13; 95% CI 1.03-1.23, p = 0.008; recessive: OR 1.25; 95% CI 1.06-1.48, p = 0.008), but not in Caucasian population (p > 0.05). In addition, the allele model of rs5498 was found to be significantly associated with the increased risk of T2D (OR 1.10; 95% CI 1.01-1.21, p = 0.03), but not T1D (p > 0.05). CONCLUSIONS The ICAM1 rs5498 might be a susceptible factor for T2D, but not T1D. And the allele and recessive models of ICAM1 rs5498 might be a risk factor in Asian population.
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Affiliation(s)
- Wensheng Mi
- Department of Pathophysiology, School of Basic Medical Science, Changsha Medical University, Changsha, 410219, People's Republic of China
- Department of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, 410219, People's Republic of China
| | - Yan Xia
- Department of Pathophysiology, School of Basic Medical Science, Changsha Medical University, Changsha, 410219, People's Republic of China.
- Department of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, 410219, People's Republic of China.
| | - Yanhui Bian
- Department of Pathophysiology, School of Basic Medical Science, Changsha Medical University, Changsha, 410219, People's Republic of China
- Department of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, 410219, People's Republic of China
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12
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Tu CF, Hsu CY, Lee MH, Jiang BH, Guo SF, Lin CC, Yang TS. Growing pigs developed different types of diabetes induced by streptozotocin depending on their transcription factor 7-like 2 gene polymorphisms. Lab Anim Res 2018; 34:185-194. [PMID: 30671104 PMCID: PMC6333605 DOI: 10.5625/lar.2018.34.4.185] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 10/03/2018] [Accepted: 10/05/2018] [Indexed: 12/25/2022] Open
Abstract
The different polymorphisms of the transcription factor 7-like 2 (TCF7L2) gene promote variances in diabetes susceptibility in humans. We investigated whether these genotypes also promote differences in diabetic susceptibility in commercial pigs. Growing pigs (Landrace, both sex, 50-60 kg) with the C/C (n=4) and T/T (n=5) TCF7L2 genotypes were identified and intravenously injected with streptozotocin (STZ, 40 mg/kg) twice in weekly intervals, then a high-energy diet was offered. Oral glucose tolerance tests, blood analyses and the homeostasis model assessment-insulin resistance (HOMA-IR) index calculations were performed. The animals were sacrificed at the end of 12 weeks of treatment to reveal the pancreas histomorphometry. The results showed that all of the treated pigs grew normally despite exhibiting hyperglycemia at two weeks after the induction. The glycemic level of the fasting or postprandial pigs gradually returned to normal. The fasting insulin concentration was significantly decreased for the T/T carriers but not for the C/C carriers, and the resulting HOMA-IR index was significantly increased for the C/C genotype, indicating that the models of insulin dependence and resistance were respectively developed by T/T and C/C carriers. The histopathological results illustrated a significant reduction in the pancreas mass and insulin active sites, which suggested increased damage. The results obtained here could not be compared with previous studies because the TCF7L2 background has not been reported. Growing pigs may be an excellent model for diabetic in children if the animals are genetically pre-selected.
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Affiliation(s)
- Ching-Fu Tu
- Division of Animal Technology, Animal Technology Laboratories, Agricultural Technology Research Institute, Xiangshan District, Hsinchu City, Taiwan, R.O.C
| | - Chi-Yun Hsu
- Division of Animal Technology, Animal Technology Laboratories, Agricultural Technology Research Institute, Xiangshan District, Hsinchu City, Taiwan, R.O.C
- Department of Biotechnology and Animal Science, National Ilan University, Yilan City, Yilan County, Taiwan, R.O.C
| | - Meng-Hwan Lee
- Division of Animal Technology, Animal Technology Laboratories, Agricultural Technology Research Institute, Xiangshan District, Hsinchu City, Taiwan, R.O.C
| | - Bo-Hui Jiang
- Division of Animal Industry, Animal Technology Laboratories, Agricultural Technology Research Institute, Xiangshan District, Hsinchu City, Taiwan, R.O.C
| | - Shyh-Forng Guo
- Division of Animal Technology, Animal Technology Laboratories, Agricultural Technology Research Institute, Xiangshan District, Hsinchu City, Taiwan, R.O.C
| | - Chai-Ching Lin
- Department of Biotechnology and Animal Science, National Ilan University, Yilan City, Yilan County, Taiwan, R.O.C
| | - Tien-Shuh Yang
- Division of Animal Technology, Animal Technology Laboratories, Agricultural Technology Research Institute, Xiangshan District, Hsinchu City, Taiwan, R.O.C
- Department of Biotechnology and Animal Science, National Ilan University, Yilan City, Yilan County, Taiwan, R.O.C
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13
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Mandour I, Darwish R, Fayez R, Naguib M, El-Sayegh S. TCF7L2 Gene Polymorphisms and Susceptibility to Type 2 Diabetes Mellitus, A Pilot Study. ACTA ACUST UNITED AC 2018. [DOI: 10.13005/bpj/1465] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Transcription factor 7-like 2 (TCF7L2) variants are known risk factors of type 2 diabetes (T2DM).However, this association is not consistent among different populations. The current study aimed at investigating the relationship between rs 7903146, rs 12255372 variants of TCF7L2 and susceptibility to T2DM and different metabolic parameters in a cohort of Egyptian type 2 diabetic patients. This case control study included 60 diabetic patients and 60 matched unrelated healthy controls. Genotyping was performed by using Real Time-PCR. The frequency of genotypes, alleles, anthropometric measures, glycemic indices, HOMA-IR and lipid profile were evaluated in patients and control. Regarding rs 7903146, TT genotype was more frequent in healthy controls (43.3%) than diabetic patients (20%) (OR = 0.291, 95% CI = 0.108-0.788, P = 0.015). T allele was more frequent in healthy control (61.7%) than diabetic patients (44.2%) and it was associated with lower risk of diabetes (OR = 0.492, 95% CI = 0.294-0.823, P = 0.007).However, there was no significant difference between patients with CC, CT and TT genotypes of rs7903146 regarding HbA1C (p=0.549), HOMA-IR (p=0.359), total cholesterol (p=0.482). In contrast, T allele of rs12255372 had no significant relation to diabetes risk (OR = 0.602, 95% CI = 0.361-1.005, P = 0.052). There was no statistically significant difference of frequency of any rs12255372 genotypes between cases and controls In addition, patients with GG,GT, TT genotypes of rs12255372 had no significant difference regarding HbA1C (p=0.393), HOMA-IR (p=0.985), total cholesterol (p=0.368). The study confirmed the association of TCF7L2 (rs 7903146) and T2DM, while failed to detect any association between TCF7L2 (rs 12255372) and susceptibility to T2DM. No significant difference in respect to metabolic parameters between different genotypes of rs7930146 and rs12255372.
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Affiliation(s)
- Iman Mandour
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
| | - Rania Darwish
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
| | - Randa Fayez
- Department of Internal Medicine, Kasr Al-Ainy, Cairo University, Egypt
| | - Mervat Naguib
- Department of Internal Medicine, Kasr Al-Ainy, Cairo University, Egypt
| | - Sarah El-Sayegh
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
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14
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Redondo MJ, Geyer S, Steck AK, Sosenko J, Anderson M, Antinozzi P, Michels A, Wentworth J, Xu P, Pugliese A. TCF7L2 Genetic Variants Contribute to Phenotypic Heterogeneity of Type 1 Diabetes. Diabetes Care 2018; 41:311-317. [PMID: 29025879 PMCID: PMC5780048 DOI: 10.2337/dc17-0961] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 08/17/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The phenotypic diversity of type 1 diabetes suggests heterogeneous etiopathogenesis. We investigated the relationship of type 2 diabetes-associated transcription factor 7 like 2 (TCF7L2) single nucleotide polymorphisms (SNPs) with immunologic and metabolic characteristics at type 1 diabetes diagnosis. RESEARCH DESIGN AND METHODS We studied TrialNet participants with newly diagnosed autoimmune type 1 diabetes with available TCF7L2 rs4506565 and rs7901695 SNP data (n = 810; median age 13.6 years; range 3.3-58.6). We modeled the influence of carrying a TCF7L2 variant (i.e., having 1 or 2 minor alleles) on the number of islet autoantibodies and oral glucose tolerance test (OGTT)-stimulated C-peptide and glucose measures at diabetes diagnosis. All analyses were adjusted for known confounders. RESULTS The rs4506565 variant was a significant independent factor of expressing a single autoantibody, instead of multiple autoantibodies, at diagnosis (odds ratio [OR] 1.66 [95% CI 1.07, 2.57], P = 0.024). Interaction analysis demonstrated that this association was only significant in participants ≥12 years old (n = 504; OR 2.12 [1.29, 3.47], P = 0.003) but not younger ones (n = 306, P = 0.73). The rs4506565 variant was independently associated with higher C-peptide area under the curve (AUC) (P = 0.008) and lower mean glucose AUC (P = 0.0127). The results were similar for the rs7901695 SNP. CONCLUSIONS In this cohort of individuals with new-onset type 1 diabetes, type 2 diabetes-linked TCF7L2 variants were associated with single autoantibody (among those ≥12 years old), higher C-peptide AUC, and lower glucose AUC levels during an OGTT. Thus, carriers of the TCF7L2 variant had a milder immunologic and metabolic phenotype at type 1 diabetes diagnosis, which could be partly driven by type 2 diabetes-like pathogenic mechanisms.
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Affiliation(s)
- Maria J Redondo
- Baylor College of Medicine, Texas Children's Hospital, Houston, TX
| | | | - Andrea K Steck
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO
| | | | - Mark Anderson
- University of California, San Francisco, San Francisco, CA
| | | | - Aaron Michels
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - John Wentworth
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Ping Xu
- University of South Florida, Tampa, FL
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15
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Valitsky M, Hoffman A, Unterman T, Bar-Tana J. Insulin sensitizer prevents and ameliorates experimental type 1 diabetes. Am J Physiol Endocrinol Metab 2017; 313:E672-E680. [PMID: 28270441 DOI: 10.1152/ajpendo.00329.2016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 02/27/2017] [Accepted: 03/01/2017] [Indexed: 01/12/2023]
Abstract
Insulin-dependent type-1 diabetes (T1D) is driven by autoimmune β-cell failure, whereas systemic resistance to insulin is considered the hallmark of insulin-independent type-2 diabetes (T2D). In contrast to this canonical dichotomy, insulin resistance appears to precede the overt diabetic stage of T1D and predict its progression, implying that insulin sensitizers may change the course of T1D. However, previous attempts to ameliorate T1D in animal models or patients by insulin sensitizers have largely failed. Sensitization to insulin by MEthyl-substituted long-chain DICArboxylic acid (MEDICA) analogs in T2D animal models surpasses that of current insulin sensitizers, thus prompting our interest in probing MEDICA in the T1D context. MEDICA efficacy in modulating the course of T1D was verified in streptozotocin (STZ) diabetic rats and autoimmune nonobese diabetic (NOD) mice. MEDICA treatment normalizes overt diabetes in STZ diabetic rats when added on to subtherapeutic insulin, and prevents/delays autoimmune T1D in NOD mice. MEDICA treatment does not improve β-cell insulin content or insulitis score, but its efficacy is accounted for by pronounced total body sensitization to insulin. In conclusion, potent insulin sensitizers may counteract genetic predisposition to autoimmune T1D and amplify subtherapeutic insulin into an effective therapeutic measure for the treatment of overt T1D.
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Affiliation(s)
- Michael Valitsky
- Department of Human Nutrition and Metabolism, Hebrew University Medical School, Jerusalem, Israel
| | - Amnon Hoffman
- Institute for Drug Research, Hebrew University Faculty of Medicine, Jerusalem, Israel; and
| | - Terry Unterman
- Section of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago College of Medicine, Chicago, Illinois
| | - Jacob Bar-Tana
- Department of Human Nutrition and Metabolism, Hebrew University Medical School, Jerusalem, Israel;
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16
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Szabo M, Máté B, Csép K, Benedek T. Genetic Approaches to the Study of Gene Variants and Their Impact on the Pathophysiology of Type 2 Diabetes. Biochem Genet 2017; 56:22-55. [DOI: 10.1007/s10528-017-9827-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 10/06/2017] [Indexed: 12/18/2022]
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17
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Rich SS. The Promise and Practice of Genetics on Diabetes Care: The Fog Rises to Reveal a Field of Genetic Complexity in HNF1B. Diabetes Care 2017; 40:1433-1435. [PMID: 29061586 PMCID: PMC5652592 DOI: 10.2337/dci17-0014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
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18
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Skyler JS, Bakris GL, Bonifacio E, Darsow T, Eckel RH, Groop L, Groop PH, Handelsman Y, Insel RA, Mathieu C, McElvaine AT, Palmer JP, Pugliese A, Schatz DA, Sosenko JM, Wilding JPH, Ratner RE. Differentiation of Diabetes by Pathophysiology, Natural History, and Prognosis. Diabetes 2017; 66:241-255. [PMID: 27980006 PMCID: PMC5384660 DOI: 10.2337/db16-0806] [Citation(s) in RCA: 373] [Impact Index Per Article: 53.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 11/23/2016] [Indexed: 12/11/2022]
Abstract
The American Diabetes Association, JDRF, the European Association for the Study of Diabetes, and the American Association of Clinical Endocrinologists convened a research symposium, "The Differentiation of Diabetes by Pathophysiology, Natural History and Prognosis" on 10-12 October 2015. International experts in genetics, immunology, metabolism, endocrinology, and systems biology discussed genetic and environmental determinants of type 1 and type 2 diabetes risk and progression, as well as complications. The participants debated how to determine appropriate therapeutic approaches based on disease pathophysiology and stage and defined remaining research gaps hindering a personalized medical approach for diabetes to drive the field to address these gaps. The authors recommend a structure for data stratification to define the phenotypes and genotypes of subtypes of diabetes that will facilitate individualized treatment.
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Affiliation(s)
- Jay S Skyler
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | | | | | | | - Robert H Eckel
- University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Leif Groop
- Lund University, Skåne University Hospital, Malmö, Sweden
| | - Per-Henrik Groop
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | | | | | | | | | - Jerry P Palmer
- University of Washington and VA Puget Sound Health Care System, Seattle, WA
| | - Alberto Pugliese
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | | | - Jay M Sosenko
- University of Miami Miller School of Medicine, Miami, FL
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19
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Wen X, Yang Y. Emerging roles of GLIS3 in neonatal diabetes, type 1 and type 2 diabetes. J Mol Endocrinol 2017; 58:R73-R85. [PMID: 27899417 DOI: 10.1530/jme-16-0232] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 11/25/2016] [Indexed: 12/26/2022]
Abstract
GLI-similar 3 (GLIS3), a member of the Krüppel-like zinc finger protein subfamily, is predominantly expressed in the pancreas, thyroid and kidney. Glis3 mRNA can be initially detected in mouse pancreas at embryonic day 11.5 and is largely restricted to β cells, pancreatic polypeptide-expressing cells, as well as ductal cells at later stage of pancreas development. Mutations in GLIS3 cause a neonatal diabetes syndrome, characterized by neonatal diabetes, congenital hypothyroidism and polycystic kidney. Importantly, genome-wide association studies showed that variations of GLIS3 are strongly associated with both type 1 diabetes (T1D) and type 2 diabetes (T2D) in multiple populations. GLIS3 cooperates with pancreatic and duodenal homeobox 1 (PDX1), v-maf musculoaponeurotic fibrosarcoma oncogene family, protein A (MAFA), as well as neurogenic differentiation 1 (NEUROD1) and potently controls insulin gene transcription. GLIS3 also plays a role in β cell survival and likely in insulin secretion. Any perturbation of these functions may underlie all three forms of diabetes. GLIS3, synergistically with hepatocyte nuclear factor 6 (HNF6) and forkhead box A2 (FOXA2), controls fetal islet differentiation via transactivating neurogenin 3 (NGN3) and impairment of this function leads to neonatal diabetes. In addition, GLIS3 is also required for the compensatory β cell proliferation and mass expansion in response to insulin resistance, which if disrupted may predispose to T2D. The increasing understanding of the mechanisms of GLIS3 in β cell development, survival and function maintenance will provide new insights into disease pathogenesis and potential therapeutic target identification to combat diabetes.
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Affiliation(s)
- Xianjie Wen
- Division of EndocrinologyDepartment of Medicine, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
- Department of AnesthesiologyThe First People's Hospital of Foshan & Foshan Hospital of Sun Yat-sen University, Guangdong, China
| | - Yisheng Yang
- Division of EndocrinologyDepartment of Medicine, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio, USA
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20
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Liston A, Todd JA, Lagou V. Beta-Cell Fragility As a Common Underlying Risk Factor in Type 1 and Type 2 Diabetes. Trends Mol Med 2017; 23:181-194. [DOI: 10.1016/j.molmed.2016.12.005] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 12/07/2016] [Accepted: 12/11/2016] [Indexed: 12/13/2022]
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21
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Daneshmandi S, Karimi MH, Pourfathollah AA. TGF-β engineered mesenchymal stem cells (TGF-β/MSCs) for treatment of Type 1 diabetes (T1D) mice model. Int Immunopharmacol 2017; 44:191-196. [PMID: 28110219 DOI: 10.1016/j.intimp.2017.01.019] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 01/07/2017] [Accepted: 01/10/2017] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Mesenchymal stem cells (MSCs) are advantageous candidates for cell therapy of Type 1 diabetes (T1D). Considering immunomodulatory effect of MSC, in this study, we engineered MSCs with TGF-β gene to increase MSC potency for T1D therapy in mouse model. MATERIALS AND METHODS Two plans were designed for prevention and treatment of diabetes, respectively. In both of them, MSCs were injected i.v. and then, the diabetes features including serum insulin, blood glucose, glucose tolerance, splenocytes proliferation, and IL-4/IFN-γ production were evaluated. RESULTS TGF-β/MSCs treatment program resulted in the restoration of serum glucose after 3weeks, while prevention program could delay diabetes progression for two weeks. TGF-β/MSCs treatment elevated the levels of serum insulin and Th2 cytokine shift on 5th week after start of treatment. TGF-β/MSCs (and MSCs alone) could also diminish body weight and enhance mice survival comparing to untreated diabetic mice. CONCLUSION Engineered TGF-β/MSCs could restore some T1D features, including the regulation of adverse immune responses and could be potent tools for cell therapy of T1D comparing MSCs alone.
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Affiliation(s)
- Saeed Daneshmandi
- Department of Immunology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | | | - Ali Akbar Pourfathollah
- Department of Immunology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
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22
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Silko YV, Nikonova TV, Ivanova ON, Stepanova SM, Shestakova MV, Dedov II. [Latent autoimmune diabetes of adults (LADA): The informative value of autoantibodies]. TERAPEVT ARKH 2016; 88:42-45. [PMID: 27801418 DOI: 10.17116/terarkh2016881042-45] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
AIM To investigate the prevalence of autoantibodies (autoAbs) associated with the development of type 1 diabetes mellitus (T1DM) in latent autoimmune diabetes of adults (LADA) in the Russian Federation. SUBJECTS AND METHODS A total of 96 patients (46 women and 50 men) with LADA were examined. All the patients underwent an immunological examination including the determination of autoAbs, such as glutamic acid decarboxylase autoAbs (GADA), islet antigen-2 auto-Abs (IA-2A), islet cell cytoplasmic auto-Abs (ICA), zinc transporter 8 auto-Abs (ZnT8A), and insulin auto-Abs (IAA). RESULTS GADAs were found in 61.5% of the examinees. ICAs were detected in 24%, IA-2As were observed in 57.3%. AutoAbs were more frequently observed in combination than alone. IAAs were least commonly seen in 8.3% and only in combinations. ZnT8As were found in 52.1% of the examinees and they were present alone in 5.2%. CONCLUSION The antibodies that are most frequently observed in LADA are GADAs, IA-2As and ZnT8As. It is insufficient to identify only GADAs, as the latter are found in only 61.5% of the patients. IA-2As and ZnT8As, which are present in 57.3% and 52.1% of the patients, respectively, should also be used in the diagnosis of LADA. ICAs are much less commonly seen and along with IAAs may be additional markers for LADA.
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Affiliation(s)
- Yu V Silko
- Endocrinology Research Center, Ministry of Health of Russia, Moscow, Russia
| | - T V Nikonova
- Endocrinology Research Center, Ministry of Health of Russia, Moscow, Russia
| | - O N Ivanova
- Endocrinology Research Center, Ministry of Health of Russia, Moscow, Russia
| | - S M Stepanova
- Endocrinology Research Center, Ministry of Health of Russia, Moscow, Russia
| | - M V Shestakova
- Endocrinology Research Center, Ministry of Health of Russia, Moscow, Russia
| | - I I Dedov
- Endocrinology Research Center, Ministry of Health of Russia, Moscow, Russia
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23
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Østergaard JA, Laugesen E, Leslie RD. Should There be Concern About Autoimmune Diabetes in Adults? Current Evidence and Controversies. Curr Diab Rep 2016; 16:82. [PMID: 27457237 DOI: 10.1007/s11892-016-0780-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Autoimmune diabetes has a heterogeneous phenotype. Although often considered a condition starting in childhood, a substantial proportion of type 1 diabetes presents in adult life. This holds important implications for our understanding of the factors that modify the rate of progression through the disease prodrome to clinical diabetes and for our management of the disease. When autoimmune diabetes develops in adulthood, insulin treatment is often not required at the time of diagnosis, and this autoimmune non-insulin requiring diabetes is generally termed latent autoimmune diabetes in adults (LADA). Patients with LADA are generally leaner, younger at diabetes onset; have a greater reduction in C-peptide; and have a greater likelihood of insulin treatment as compared with patients with type 2 diabetes. The LADA subset of patients with adult-onset autoimmune diabetes has highlighted many shortcomings in the classification of diabetes and invokes the case for more personalized data analysis in line with the move towards precision medicine. Perhaps most importantly, the issues highlight our persistent failure to engage with the heterogeneity within the most common form of autoimmune diabetes, that is adult-onset type 1 diabetes, both insulin-dependent and initially non-insulin requiring (LADA). This review discusses characteristics of autoimmune diabetes and specifically aims to illustrate the heterogeneity of the disease.
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Affiliation(s)
- Jakob Appel Østergaard
- Department of Clinical Medicine, Aarhus University & Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus & The Danish Diabetes Academy, Odense, Denmark
| | - Esben Laugesen
- Department of Clinical Medicine, Aarhus University & Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus & The Danish Diabetes Academy, Odense, Denmark
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Yang Y, Chan L. Monogenic Diabetes: What It Teaches Us on the Common Forms of Type 1 and Type 2 Diabetes. Endocr Rev 2016; 37:190-222. [PMID: 27035557 PMCID: PMC4890265 DOI: 10.1210/er.2015-1116] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
To date, more than 30 genes have been linked to monogenic diabetes. Candidate gene and genome-wide association studies have identified > 50 susceptibility loci for common type 1 diabetes (T1D) and approximately 100 susceptibility loci for type 2 diabetes (T2D). About 1-5% of all cases of diabetes result from single-gene mutations and are called monogenic diabetes. Here, we review the pathophysiological basis of the role of monogenic diabetes genes that have also been found to be associated with common T1D and/or T2D. Variants of approximately one-third of monogenic diabetes genes are associated with T2D, but not T1D. Two of the T2D-associated monogenic diabetes genes-potassium inward-rectifying channel, subfamily J, member 11 (KCNJ11), which controls glucose-stimulated insulin secretion in the β-cell; and peroxisome proliferator-activated receptor γ (PPARG), which impacts multiple tissue targets in relation to inflammation and insulin sensitivity-have been developed as major antidiabetic drug targets. Another monogenic diabetes gene, the preproinsulin gene (INS), is unique in that INS mutations can cause hyperinsulinemia, hyperproinsulinemia, neonatal diabetes mellitus, one type of maturity-onset diabetes of the young (MODY10), and autoantibody-negative T1D. Dominant heterozygous INS mutations are the second most common cause of permanent neonatal diabetes. Moreover, INS gene variants are strongly associated with common T1D (type 1a), but inconsistently with T2D. Variants of the monogenic diabetes gene Gli-similar 3 (GLIS3) are associated with both T1D and T2D. GLIS3 is a key transcription factor in insulin production and β-cell differentiation during embryonic development, which perturbation forms the basis of monogenic diabetes as well as its association with T1D. GLIS3 is also required for compensatory β-cell proliferation in adults; impairment of this function predisposes to T2D. Thus, monogenic forms of diabetes are invaluable "human models" that have contributed to our understanding of the pathophysiological basis of common T1D and T2D.
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Affiliation(s)
- Yisheng Yang
- Division of Endocrinology (Y.Y.), Department of Medicine, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio 44109; and Diabetes and Endocrinology Research Center (L.C.), Division of Diabetes, Endocrinology and Metabolism, Departments of Medicine, Molecular and Cellular Biology, Biochemistry and Molecular Biology, and Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030
| | - Lawrence Chan
- Division of Endocrinology (Y.Y.), Department of Medicine, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio 44109; and Diabetes and Endocrinology Research Center (L.C.), Division of Diabetes, Endocrinology and Metabolism, Departments of Medicine, Molecular and Cellular Biology, Biochemistry and Molecular Biology, and Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030
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25
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TCF7L2 involvement in estradiol- and progesterone-modulated islet and hepatic glucose homeostasis. Sci Rep 2016; 6:24859. [PMID: 27108846 PMCID: PMC4876840 DOI: 10.1038/srep24859] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 04/05/2016] [Indexed: 02/06/2023] Open
Abstract
To evaluate the role of TCF7L2, a key regulator of glucose homeostasis, in estradiol (E2) and progesterone (P4)-modulated glucose metabolism, mouse insulinoma cells (MIN6) and human liver cancer cells (hepG2 and HUH7) were treated with physiological concentrations of E2 or P4 in the up- and down-regulation of TCF7L2. Insulin/proinsulin secretion was measured in MIN6 cells, while glucose uptake and production were evaluated in liver cancer cells. E2 increased insulin/proinsulin secretion under both basal and stimulated conditions, whereas P4 increased insulin/proinsulin secretion only under glucose-stimulated conditions. An antagonistic effect, possibly concentration-dependent, of E2 and P4 on the regulation of islet glucose metabolism was observed. After E2 or P4 treatment, secretion of insulin/proinsulin was positively correlated with TCF7L2 protein expression. When TCF7L2 was silenced, E2- or P4-promoted insulin/proinsulin secretion was significantly weakened. Under glucotoxicity conditions, overexpression of TCF7L2 increased insulin secretion and processing. In liver cancer cells, E2 or P4 exposure elevated TCF7L2 expression, enhanced the activity of insulin signaling (pAKT/pGSK), reduced PEPCK expression, subsequently increased insulin-stimulated glucose uptake, and decreased glucose production. Silencing TCF7L2 eliminated effects of E2 or P4. In conclusion, TCF7L2 regulates E2- or P4-modulated islet and hepatic glucose metabolism. The results have implications for glucose homeostasis in pregnancy.
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Silko IV, Nikonova TV, Ivanova ON, Stepanova SM, Shestakova MV, Dedov II. Association of polymorphism rs7903146 gene TCF7L2 with low concentrations of autoantibodies in latent autoimmune diabetes of adults (LADA). DIABETES MELLITUS 2016. [DOI: 10.14341/dm2003418-21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Aim. To determine the frequencies of alleles and genotypes of polymorphic marker rs7903146 of the TCF7L2 gene in latent autoimmune diabetes in adults (LADA) and healthy individuals. The aims of the study were also to compare the distribution of alleles and genotypes and to explore the association with the development of LADA.Materials and methods. A total of 96 patients (46 females and 50 males) with LADA and 201 healthy individuals were examined. A quantitative determination of autoantibodies GADA, ICA, IA-2A and ZnT8 in the serum of LADA patients was performed. All patients underwent genotyping of rs7903146 of the TCF7L2 genes.Results. There was an increased frequency of the T allele and genotype T+ of marker rs7903146 of the TCF7L2 gene in patients with LADA with low concentrations of autoantibodies compared to a group of patients with high concentrations and with controls. We observed significant associations of the T allele and genotype T+ with LADA in patients with low concentrations of autoantibodies [p = 0.02; odds ratio (OR) = 1.85; 95% confidence interval (CI) = 1.10–3.13 and p = 0.04; OR = 2.14; 95% CI = 1.01–4.53 for the T allele and genotype T+, respectively).Conclusion. The results of the study suggest that LADA patients with low concentrations of autoantibodies have a genetically pre-determined similarity with patients with type 2 diabetes.
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Schwartz SS, Epstein S, Corkey BE, Grant SFA, Gavin JR, Aguilar RB. The Time Is Right for a New Classification System for Diabetes: Rationale and Implications of the β-Cell-Centric Classification Schema. Diabetes Care 2016; 39:179-86. [PMID: 26798148 PMCID: PMC5317235 DOI: 10.2337/dc15-1585] [Citation(s) in RCA: 190] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The current classification system presents challenges to the diagnosis and treatment of patients with diabetes mellitus (DM), in part due to its conflicting and confounding definitions of type 1 DM, type 2 DM, and latent autoimmune diabetes of adults (LADA). The current schema also lacks a foundation that readily incorporates advances in our understanding of the disease and its treatment. For appropriate and coherent therapy, we propose an alternate classification system. The β-cell-centric classification of DM is a new approach that obviates the inherent and unintended confusions of the current system. The β-cell-centric model presupposes that all DM originates from a final common denominator-the abnormal pancreatic β-cell. It recognizes that interactions between genetically predisposed β-cells with a number of factors, including insulin resistance (IR), susceptibility to environmental influences, and immune dysregulation/inflammation, lead to the range of hyperglycemic phenotypes within the spectrum of DM. Individually or in concert, and often self-perpetuating, these factors contribute to β-cell stress, dysfunction, or loss through at least 11 distinct pathways. Available, yet underutilized, treatments provide rational choices for personalized therapies that target the individual mediating pathways of hyperglycemia at work in any given patient, without the risk of drug-related hypoglycemia or weight gain or imposing further burden on the β-cells. This article issues an urgent call for the review of the current DM classification system toward the consensus on a new, more useful system.
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Affiliation(s)
- Stanley S Schwartz
- Main Line Health, Wynnewood, PA, and University of Pennsylvania, Philadelphia, PA
| | - Solomon Epstein
- Division of Endocrinology, Diabetes and Bone Disease, Department of Medicine, Mount Sinai Hospital, New York, NY
| | - Barbara E Corkey
- Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Struan F A Grant
- Division of Human Genetics and Center for Applied Genomics, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Reduced Histone H3 Acetylation in CD4(+) T Lymphocytes: Potential Mechanism of Latent Autoimmune Diabetes in Adults. DISEASE MARKERS 2015; 2015:285125. [PMID: 26839444 PMCID: PMC4709642 DOI: 10.1155/2015/285125] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2015] [Revised: 12/07/2015] [Accepted: 12/10/2015] [Indexed: 11/18/2022]
Abstract
Aims. Latent autoimmune diabetes in adults (LADA) is the result of gene-environment interactions. Histone acetylation regulates gene expression and maybe interpret how environmental factors modify LADA. Hence, we studied the histone acetylation patterns in CD4(+) T lymphocytes from LADA patients. Methods. Blood CD4(+) T lymphocytes from 28 patients with LADA and 28 healthy controls were obtained to detect histone H3 acetylation and H4 acetylation. The gene expression of histone acetyltransferases (P300 and CREBBP) and histone deacetylases (HDAC1, HDAC2, and HDAC7) was measured by real-time polymerase chain reaction (RT-PCR). Results. Compared to healthy controls, reduced global H3 acetylation was observed in LADA patients' CD4(+) T lymphocytes (P < 0.05). Global level of H4 acetylation was not statistically different. Among LADA, CD4(+) T lymphocytes H3 acetylation was associated with glycosylated hemoglobin (HbA1c) and GADA titer. Compared to healthy controls, the expression of histone acetyltransferases CREBBP in LADA patients was downregulated, and the expression of histone deacetylases HDAC1 and HDAC7 was upregulated. Conclusion. A concerted downregulation of histone H3 acetylation was found in CD4(+) T lymphocytes of LADA patients, and this might provide evidence of a novel epigenetic explanation for the pathogenesis of LADA and its complications.
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Mitchell JA, Grant SFA. Ethnic disparities in DNA methylation and risk of type 2 diabetes. Lancet Diabetes Endocrinol 2015; 3:491-2. [PMID: 26095710 DOI: 10.1016/s2213-8587(15)00142-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 05/06/2015] [Indexed: 11/30/2022]
Affiliation(s)
- Jonathan A Mitchell
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Struan F A Grant
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA; Divisions of Genetics and Endocrinology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
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Abstract
In the nearly 100 years since the discovery of therapeutic insulin, significant research efforts have been directed at finding the underlying cause of type 1 diabetes (T1D) and developing a "cure" for the disease. While progress has clearly been made toward each of these goals, neither vision has been fulfilled. With increasing pressure from both public and private funders of diabetes research, growing impatience of those with T1D at the lack of practical discoveries, increased competition for research funds, uncertainties on the reproducibility of published scientific data, and questions regarding the value of animal models, the current research environment has become extraordinarily difficult to traverse from the perspective of investigators. As a result, there is an increasing pressure toward performance of what might be considered "safe" research, where the aim is to affirm existing dogmas rather than to pioneer efforts involving unconventional thought. Psychologists refer to this practice as "observational bias" while cartoonists label the process the "streetlight effect." In this Perspective, we consider notions in T1D research that should be subject to bold question and provide additional concepts, many somewhat orphan to research efforts, whose investigation could lead to a means for truly identifying the cause of and a cure for T1D.
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Affiliation(s)
- Manuela Battaglia
- Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Mark A Atkinson
- Departments of Pathology and Pediatrics, University of Florida, Gainesville, FL
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