1
|
Shakeri H, Khoshi A, Kaffash Bajestani M, Farahi A, Javadzadeh MS, Hosseini Z, Mohammadi R. ASSOCIATION OF IRS1 GLY971ARG GENE POLYMORPHISM WITH INSULIN RESISTANCE IN IRANIAN NEWLY DIAGNOSED DIABETIC ADULTS. ACTA ENDOCRINOLOGICA-BUCHAREST 2020; 15:317-322. [PMID: 32010350 DOI: 10.4183/aeb.2019.317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Context Insulin receptor substrate-1 (IRS-1) has an important role in insulin signaling and the common Gly971Arg polymorphism is related to type 2 diabetes (T2D). IRS-1 Gly971Arg polymorphism can modify tyrosine phosphorylation at a specific site of IRS-1 and may have a critical role in the development of insulin resistance (IR). Objective The purpose of this study was to investigate the association between this polymorphism and IR in Iranian patients with newly-diagnosed type 2 diabetes. Design The study was conducted on 114 individuals with newly-diagnosed T2D and 118 healthy matched controls, aged 20-80 years. Fasting blood glucose and insulin were measured by the enzymatic method and enzyme-linked immunosorbent assay, respectively. Insulin-resistance was calculated by homeostasis model assessment estimated-insulin resistance (HOMA-IR). The gene polymorphism was examined by polymerase chain reaction-restriction fragment length polymorphism. Results There are significant differences between IRS1 Gly971Arg polymorphism and studied individuals (P<0.0001). The findings showed that the risk of developing T2D in individuals who had R-alleles was 3.74 folds higher than those without R-alleles. However, IRS1 Gly971Arg polymorphism was not associated with high HOMA-IR, high BMI and familial history of diabetes. Conclusions Even though there was not a significant relationship between IRS-1 G971R polymorphism with insulin resistance and high BMI, this polymorphism was correlated to newly-diagnosed diabetic patients. Thus, the evaluation of IRS-1 G971R polymorphism may be helpful for predicting T2D new cases.
Collapse
Affiliation(s)
- H Shakeri
- North Khorasan University of Medical Sciences, School of Medicine - Dept. of Endocrinology - Bojnurd, Iran
| | - A Khoshi
- North Khorasan University of Medical Sciences, School of Medicine - Dept. of Clinical Biochemistry - Bojnurd, Iran.,North Khorasan University of Medical Sciences, School of Medicine - Dept. of Pathobiology and Laboratory Sciences, Bojnurd, Iran
| | - M Kaffash Bajestani
- North Khorasan University of Medical Sciences, School of Medicine - Educational Development Center - Bojnurd, Iran
| | - A Farahi
- North Khorasan University of Medical Sciences, School of Medicine - Student Research Committee - Bojnurd, Iran
| | - M S Javadzadeh
- Mazandaran University of Medical Sciences, Dept. of Immunology, Sari, Iran
| | - Z Hosseini
- North Khorasan University of Medical Sciences, School of Medicine - Dept. of Clinical Biochemistry - Bojnurd, Iran
| | - R Mohammadi
- Shaheed Beheshti University of Medical Sciences, Medical Faculty, Dept. of Medical Biotechnology, Tehran, Iran
| |
Collapse
|
2
|
Sanyoura M, Jacobsen L, Carmody D, del Gaudio D, Alkorta-Aranburu G, Arndt K, Hu Y, Kobiernicki F, Kusmartseva I, Atkinson MA, Philipson LH, Schatz D, Campbell-Thompson M, Greeley SAW. Pancreatic Histopathology of Human Monogenic Diabetes Due to Causal Variants in KCNJ11, HNF1A, GATA6, and LMNA. J Clin Endocrinol Metab 2018; 103:35-45. [PMID: 28938416 PMCID: PMC5761488 DOI: 10.1210/jc.2017-01159] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 08/06/2017] [Indexed: 12/13/2022]
Abstract
CONTEXT Monogenic diabetes is thought to account for 2% of all diabetes cases, but most patients receive misdiagnoses of type 1 or type 2 diabetes. To date, little is known about the histopathological features of pancreata from patients with monogenic diabetes. OBJECTIVE Retrospective study of the JDRF Network for Pancreatic Organ Donors with Diabetes biorepository to identify possible cases of monogenic diabetes and to compare effects of genetic variants on pancreas histology. METHODS We selected cases of diabetes for genetic testing on the basis of criteria that included young age at diagnosis, low body mass index, negative autoantibody status, and/or detectable C-peptide level. Samples underwent next-generation-targeted sequencing of 140 diabetes/diabetes-related genes. Pancreas weight and histopathology were reviewed. RESULTS Forty-one of 140 cases of diabetes met the clinical inclusion criteria, with 38 DNA samples available. Genetic variants of probable clinical significance were found in four cases: one each in KCNJ11, HNF1A, GATA6, and LMNA. The KCNJ11 and HNF1A samples had significantly decreased pancreas weight and insulin mass similar to that of type 1 diabetes but had no insulitis. The GATA6 sample had severe pancreatic atrophy but with abundant β cells and severe amyloidosis similar to type 2 diabetes. The LMNA sample had preserved pancreas weight and insulin mass but abnormal islet architecture and exocrine fatty infiltrates. CONCLUSIONS Four cases of diabetes had putative causal variants in monogenic diabetes genes. This study provides further insight into the heterogeneous nature of monogenic diabetes cases that exhibited clinical and pathophysiological features that overlap with type 1/type 2 diabetes.
Collapse
Affiliation(s)
- May Sanyoura
- Section of Adult and Pediatric Endocrinology, Diabetes,
and Metabolism, The University of Chicago, Chicago, Illinois 60637
| | - Laura Jacobsen
- Department of Pediatrics, University of Florida,
Gainesville, Florida 32610
| | - David Carmody
- Section of Adult and Pediatric Endocrinology, Diabetes,
and Metabolism, The University of Chicago, Chicago, Illinois 60637
| | - Daniela del Gaudio
- Department of Human Genetics, The University of Chicago,
Chicago, Illinois 60637
| | | | - Kelly Arndt
- Department of Human Genetics, The University of Chicago,
Chicago, Illinois 60637
| | - Ying Hu
- Department of Human Genetics, The University of Chicago,
Chicago, Illinois 60637
| | - Frances Kobiernicki
- Department of Human Genetics, The University of Chicago,
Chicago, Illinois 60637
| | - Irina Kusmartseva
- Department of Pathology, Immunology and Laboratory
Medicine, University of Florida, Gainesville, Florida 32610
| | - Mark A. Atkinson
- Department of Pathology, Immunology and Laboratory
Medicine, University of Florida, Gainesville, Florida 32610
| | - Louis H. Philipson
- Section of Adult and Pediatric Endocrinology, Diabetes,
and Metabolism, The University of Chicago, Chicago, Illinois 60637
| | - Desmond Schatz
- Department of Pediatrics, University of Florida,
Gainesville, Florida 32610
| | - Martha Campbell-Thompson
- Department of Pathology, Immunology and Laboratory
Medicine, University of Florida, Gainesville, Florida 32610
| | - Siri Atma W. Greeley
- Section of Adult and Pediatric Endocrinology, Diabetes,
and Metabolism, The University of Chicago, Chicago, Illinois 60637
| |
Collapse
|
3
|
Li Q, Qiao Y, Wang C, Zhang G, Zhang X, Xu L. Associations between two single-nucleotide polymorphisms (rs1801278 and rs2943641) of insulin receptor substrate 1 gene and type 2 diabetes susceptibility: a meta-analysis. Endocrine 2016; 51:52-62. [PMID: 26582067 DOI: 10.1007/s12020-015-0770-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 10/05/2015] [Indexed: 01/11/2023]
Abstract
The objective of the study is to assess the association between rs1801278 and rs2943641 of insulin receptor substrate 1 gene (IRS1) and the susceptibility to type 2 diabetes. A literature search strategy was conducted to identify all references lists of relevant studies. The fixed or random effect model was used to calculate the pooled ORs on the basis of heterogeneity. Further analyses were performed to explore the sources of heterogeneity by sensitivity analysis, meta-regression analysis, and subgroup analysis. There was significant association between rs1801278 and type 2 diabetes risk in recessive model (AA vs. GA + GG, p = 0.043) and codominant model (AA vs. GG, p = 0.007). Subgroup analysis showed that the association between rs1801278 and type 2 diabetes risk was significant in dominant model (GA + AA vs. GG, p = 0.044), codominant model (GA vs. GG, p = 0.039), codominant model (AA vs. GG, p = 0.044), overdominant model (GG + AA vs. GA, p = 0.037) in Asian and codominant model (AA vs. GG, p = 0.039) in Caucasian of rs1801278. The association between rs2943641 and type 2 diabetes risk was significant in codominant model (CT vs. CC, p = 0.023) in Caucasian. This meta-analysis suggests that rs1801278 may play a role in type 2 diabetes risk, especially in Asian. It also indicates that rs2943641 may be associated with type 2 diabetes risk in Caucasian. Further larger studies should be performed to warrant confirmation.
Collapse
Affiliation(s)
- Qiuyan Li
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Yuandong Qiao
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Chuntao Wang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Guangfa Zhang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Xuelong Zhang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Lidan Xu
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, People's Republic of China.
| |
Collapse
|
4
|
Lodigiani C, Ferrazzi P, Di Micco P, Librè L, Genovese S, Quaglia I, Rota LL. Is there a relationship between factor V Leiden and type 2 diabetes? J Transl Med 2009; 7:52. [PMID: 19558686 PMCID: PMC2708136 DOI: 10.1186/1479-5876-7-52] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2009] [Accepted: 06/26/2009] [Indexed: 11/12/2022] Open
Abstract
Background Diabetes is well known risk factor for thrombotic events. The association between diabetes and venous thromboembolism is still matter of debate. However, during diabetes an acquired thrombophilia is present and is due to the non-enzymatic glycosilation of clotting inhibitors as antithrombin thus leading to hypercoagulable state. A possibile relationship between the presence of FVL gene variant in type 1 or type 2 diabetes has been hypothysed by several reports in the Literature with non-univocal findings. Patients and methods Retrospectively we analysed nearly 7000 patients referred to our Thrombosis Center for venous thromboembolism (VTE) then we selected 115 patients underwent to the screening for inherited thrombophilia. All selected patients were divided in 2 groups: the first group (group A) included 64 patients with previous VTE and carriers of factor V Leiden, while the second group (group B) included 51 patients with previous VTE and evetually carriers of thrombophilic defects other than factor V Leiden. Patients of group B acted as control group. 75 g oral glucose tolerance Test (OGTT) recommended by WHO was perfomed to all subjects in the study in order to screen subjects with glucose reduced tolerance or subjects with inducible diabetes. Statistical analysis was performed with STATA 6 with Student t test for unpaired data, with χ2 test or with Fisher exact test where appropriated; differences were considered to be significant if p < 0.05. Results We did not find sifferences between glycaemia at baseline and after OGTT between patients with VTE carriers of FVL compared to non-carriers of FVL. We found a relevant increase in the prevalence of IGT and diabetes between patients with VTE carriers of FVL compared to non-carriers of FVL although this increase did not raise statistical significance. Discussion our data pointed out an interesting aspect of the linking between FVL gene variant, diabetes and atherothrombosis and other vascular complications, although data on larger population are needed; this aspect may be another relevant topic of research based because also a link between the pathogenesis of venous thrombosis and atherothrombosis has been recently reported in the Literature.
Collapse
Affiliation(s)
- Corrado Lodigiani
- Thrombosis Center, Istituto Clinico Humanitas IRCCS, Rozzano (MI), Italy.
| | | | | | | | | | | | | |
Collapse
|
5
|
Roberts R, Stewart AFR, Wells GA, Williams KA, Kavaslar N, McPherson R. Identifying genes for coronary artery disease: An idea whose time has come. Can J Cardiol 2008; 23 Suppl A:7A-15A. [PMID: 17668082 PMCID: PMC2787000 DOI: 10.1016/s0828-282x(07)71000-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Coronary artery disease (CAD) remains the number one killer in the western world. Genetics accounts for greater than 50% of the risk for CAD. Genetic screening and early prevention in individuals identified as being at increased risk could dramatically reduce the prevalence of CAD, thus necessitating the identification of genes predisposing to CAD. Studies of genes identified by the candidate gene approach have not been replicated due, in part, to inadequate sample size. Genome-wide scan association studies have been limited by the use of thousands of markers rather than the hundreds of thousands required, and by the use of hundreds of individuals rather than the thousands required. Replication of positive findings in an independent population is essential. To detect a minor allele frequency of 5% or greater with an odds ratio for risk of 1.3 or greater and 90% power, an estimated 14,000 (9000 affected and 5000 control) subjects are required. METHODS The Affymetrix GeneChip Human Mapping 500K Array Set (Affymetrix Inc, USA) provides a marker every 6000 base pairs as required, and is being used to genotype 1000 cases of premature CAD and 1000 normal subjects, followed by replication in 8000 affected individuals and 4000 control subjects. The phenotype is confirmed or excluded by coronary arteriograms by catheterization or multislice computed tomography. RESULTS Since 2005, more than 800 million genotypes have been performed and analyses performed on 500 control subjects and 500 affected individuals. Several thousand significant single nucleotide polymorphisms and 130 clusters associated with CAD have been identified. CONCLUSIONS This is the first genome-wide scan using the 500,000 marker set in a case-control association study for CAD genes. Several genes associated with CAD appear promising.
Collapse
|
6
|
Barroso I, Luan J, Middelberg RPS, Harding AH, Franks PW, Jakes RW, Clayton D, Schafer AJ, O'Rahilly S, Wareham NJ. Candidate gene association study in type 2 diabetes indicates a role for genes involved in beta-cell function as well as insulin action. PLoS Biol 2003; 1:E20. [PMID: 14551916 PMCID: PMC212698 DOI: 10.1371/journal.pbio.0000020] [Citation(s) in RCA: 226] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2003] [Accepted: 08/08/2003] [Indexed: 01/24/2023] Open
Abstract
Type 2 diabetes is an increasingly common, serious metabolic disorder with a substantial inherited component. It is characterised by defects in both insulin secretion and action. Progress in identification of specific genetic variants predisposing to the disease has been limited. To complement ongoing positional cloning efforts, we have undertaken a large-scale candidate gene association study. We examined 152 SNPs in 71 candidate genes for association with diabetes status and related phenotypes in 2,134 Caucasians in a case-control study and an independent quantitative trait (QT) cohort in the United Kingdom. Polymorphisms in five of 15 genes (33%) encoding molecules known to primarily influence pancreatic beta-cell function-ABCC8 (sulphonylurea receptor), KCNJ11 (KIR6.2), SLC2A2 (GLUT2), HNF4A (HNF4alpha), and INS (insulin)-significantly altered disease risk, and in three genes, the risk allele, haplotype, or both had a biologically consistent effect on a relevant physiological trait in the QT study. We examined 35 genes predicted to have their major influence on insulin action, and three (9%)-INSR, PIK3R1, and SOS1-showed significant associations with diabetes. These results confirm the genetic complexity of Type 2 diabetes and provide evidence that common variants in genes influencing pancreatic beta-cell function may make a significant contribution to the inherited component of this disease. This study additionally demonstrates that the systematic examination of panels of biological candidate genes in large, well-characterised populations can be an effective complement to positional cloning approaches. The absence of large single-gene effects and the detection of multiple small effects accentuate the need for the study of larger populations in order to reliably identify the size of effect we now expect for complex diseases.
Collapse
|
7
|
Jellema A, Zeegers MPA, Feskens EJM, Dagnelie PC, Mensink RP. Gly972Arg variant in the insulin receptor substrate-1 gene and association with Type 2 diabetes: a meta-analysis of 27 studies. Diabetologia 2003; 46:990-5. [PMID: 12819898 DOI: 10.1007/s00125-003-1126-4] [Citation(s) in RCA: 110] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2002] [Revised: 02/10/2003] [Indexed: 01/12/2023]
Abstract
AIMS/HYPOTHESIS Several case-control studies have examined the association between the Gly972Arg variant in the IRS-1 gene and Type 2 diabetes, but most had limited power and results could therefore be conflicting. METHODS We systematically reviewed the literature by means of a meta-analysis and investigated sources of heterogeneity in results of different studies. RESULTS The summary risk ratio, based on 3408 cases and 5419 control cases from 27 studies, was 1.25 (95% CI 1.05-1.48). The results, however, differed according to the type of study, method of verifying non-diabetic status of the control subjects, and age of the case subjects. Population-based studies reported lower odds ratios than hospital-based studies (OR 0.98, 95% CI 0.74-1.30 vs OR 1.43, 95% CI 1.17-1.74). Also, the diagnostic test to exclude diabetes amongst control subjects interacted with the association between the IRS-1 Gly972Arg variant and Type 2 diabetes (p=0.03). Finally, the odds ratio reduced with increasing age ( p=0.03). CONCLUSION/INTERPRETATION Overall, carriers of the 972Arg variant of the IRS-1 gene are at a 25% increased risk of having Type 2 diabetes compared with non-carriers. The odds ratios are generally higher in hospital-based studies, including relatively young, symptomatic, cases.
Collapse
Affiliation(s)
- A Jellema
- Centre for Nutrition and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
| | | | | | | | | |
Collapse
|
8
|
Poa NR, Cooper GJS, Edgar PF. Amylin gene promoter mutations predispose to Type 2 diabetes in New Zealand Maori. Diabetologia 2003; 46:574-8. [PMID: 12679865 DOI: 10.1007/s00125-003-1068-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2002] [Revised: 10/25/2002] [Indexed: 11/25/2022]
Abstract
AIMS/HYPOTHESIS Amylin gene mutations are known to predispose Chinese and Japanese subjects, but not Caucasian subjects, to Type 2 diabetes. New Zealand Maori, who have a high prevalence of Type 2 diabetes, have genetic origins in South East Asia. Amylin gene mutations could therefore predispose New Zealand Maori to Type 2 diabetes. METHODS The amylin gene was screened for mutations in the proximal promoter region, exons 1 and 2, intron 1, and coding region of exon 3 by polymerase chain reaction amplification and direct sequencing of 131 Type 2 diabetic Maori patients and 258 non-diabetic Maori control subjects. RESULTS We identified three new amylin gene mutations: two mutations in the promoter region (-215T>G and -132G>A) and a missense mutation in exon 3 (Q10R). The -215T>G mutation was observed in 5.4% of Type 2 Maori diabetic patients and predisposed the carrier to diabetes with a relative risk of 7.23. The -215T>G mutation was inherited with a previously described amylin promoter polymorphism (-230A>C) in 3% of the Maori with Type 2 diabetes, which suggests linkage disequilibrium exists between these two mutations. The -230A>C polymorphism on its own, however, was not associated with Type 2 diabetes in Maori subjects. The -132G>A and Q10R mutations were both observed in 0.76% of Type 2 diabetic patients and were absent in non-diabetic subjects. CONCLUSION/INTERPRETATION The amylin gene mutations identified in this study are associated with Type 2 diabetes in 7% of Maori. Amylin is likely to be an important susceptibility gene for Type 2 diabetes in Maori people.
Collapse
Affiliation(s)
- N R Poa
- The Biochemistry and Molecular Biology Group, School of Biological Sciences, University of Auckland, New Zealand.
| | | | | |
Collapse
|
9
|
van Tilburg J, van Haeften TW, Pearson P, Wijmenga C. Defining the genetic contribution of type 2 diabetes mellitus. J Med Genet 2001; 38:569-78. [PMID: 11546824 PMCID: PMC1734947 DOI: 10.1136/jmg.38.9.569] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Type 2 diabetes mellitus is a common multifactorial genetic syndrome, which is determined by several different genes and environmental factors. It now affects 150 million people world wide but its incidence is increasing rapidly because of secondary factors, such as obesity, hypertension, and lack of physical activity. Many studies have been carried out to determine the genetic factors involved in type 2 diabetes mellitus. In this review we look at the different strategies used and discuss the genome wide scans performed so far in more detail. New technologies, such as microarrays, and the discovery of SNPs will lead to a greater understanding of the pathogenesis of type 2 diabetes mellitus and to better diagnostics, treatment, and eventually prevention.
Collapse
Affiliation(s)
- J van Tilburg
- Department of Medical Genetics, KC.04.084.2, University Medical Centre Utrecht, 3508 AB Utrecht, The Netherlands
| | | | | | | |
Collapse
|