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Wang C, Li X, Yi W, Kang J, Nuermaimaiti N, Guan Y. Differential expression of microRNAs in serum exosomes of obese and non-obese mice and analysis of their function. Gene 2024; 927:148604. [PMID: 38838872 DOI: 10.1016/j.gene.2024.148604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/30/2024] [Accepted: 05/20/2024] [Indexed: 06/07/2024]
Abstract
OBJECTIVE To extract exosomes from obese and non-obese mice, screen specifically expressed microRNAs by high-throughput sequencing and explore their roles. METHODS An animal obesity model was constructed, and the successful construction of the obesity model was verified by HE staining, Western Blot and RT-qPCR. In addition, exosomes were extracted and verified by Western Blot. High-throughput sequencing was performed on the extracted serum exosomes to screen for differentially expressed microRNAs. fluorescence quantitative RT-PCR (RT-qPCR) was used to validate the differentially expressed miRNAs and explore their functions. RESULTS 8 microRNAs were up-regulated and 11 microRNAs were down-regulated. mmu-miR-674-5p and X_28316 were significantly down-regulated and had the greatest impact on protein pathways. 8_13258 was significantly up-regulated and affected multiple protein pathways. GO enrichment analysis suggested that the differentially expressed microRNAs were mainly involved in the cleavage of microtubule activity, transferase activity/transferase pentameric acid. GO enrichment analysis suggested that differentially expressed microRNAs were mainly involved in the processes of cleavage microtubule activity, transferase activity/transfer pentamer, and threonine phosphatase/threonine kinase activity.KEGG pathway enrichment analysis showed that differentially expressed microRNAs were mainly involved in the processes of regulating the phosphorylation of TP53 activity, the G2/M DNA damage checkpoint, and the processing of the ends of DNA double-strand breaks. Protein interaction networks were enriched for Stat3, Fgr, Camk2b, Rac1, Asb6, and Ankfy1. Suggesting that they may be mediated by differential genes to participate in the process of insulin resistance. qRT-PCR results showed that the expression trend of mmu-miR-674-5p was consistent with the sequencing results. It suggests that it may be able to participate in the regulation of insulin resistance as a target gene. CONCLUSION microRNAs were differentially expressed in serum exosomes of obese and non-obese mice and might be involved in the specific regulation of insulin resistance. mmu-miR-674-5p was differentially expressed significantly and the validation trend was consistent with it, suggesting that it might be able to participate in the regulation of insulin resistance as a target gene.
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Affiliation(s)
- Changzan Wang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, 830017 Urumqi, Xinjiang, China
| | - Xianghui Li
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, 830017 Urumqi, Xinjiang, China
| | - Wenying Yi
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, 830017 Urumqi, Xinjiang, China
| | - Jiawei Kang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, 830017 Urumqi, Xinjiang, China
| | - Nuerbiye Nuermaimaiti
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, 830017 Urumqi, Xinjiang, China.
| | - Yaqun Guan
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, 830017 Urumqi, Xinjiang, China.
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Zhang F, Zhang Z, Li Y, Sun Y, Zhou X, Chen X, Sun S. Integrated Bioinformatics Analysis Identifies Robust Biomarkers and Its Correlation With Immune Microenvironment in Nonalcoholic Fatty Liver Disease. Front Genet 2022; 13:942153. [PMID: 35910194 PMCID: PMC9330026 DOI: 10.3389/fgene.2022.942153] [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] [Received: 05/12/2022] [Accepted: 06/13/2022] [Indexed: 11/24/2022] Open
Abstract
Objective: Nonalcoholic fatty liver disease (NAFLD) is a serious threat to human health worldwide. In this study, the aim is to analyze diagnosis biomarkers in NAFLD and its relationship with the immune microenvironment based on bioinformatics analysis. Methods: We downloaded microarray datasets (GSE48452 and GSE63067) from the Gene Expression Omnibus (GEO) database for screening differentially expressed genes (DEGs). The hub genes were screened by a series of machine learning analyses, such as support vector machine (SVM), least absolute shrinkage and selection operator (LASSO), and weighted gene co-expression network analysis (WGCNA). It is worth mentioning that we used the gene enrichment analysis to explore the driver pathways of NAFLD occurrence. Subsequently, the aforementioned genes were validated by external datasets (GSE66676). Moreover, the CIBERSORT algorithm was used to estimate the proportion of different types of immune cells. Finally, the Spearman analysis was used to verify the relationship between hub genes and immune cells. Results: Hub genes (CAMK1D, CENPV, and TRHDE) were identified. In addition, we found that the pathogenesis of NAFLD is mainly related to nutrient metabolism and the immune system. In correlation analysis, CENPV expression had a strong negative correlation with resting memory CD4 T cells, and TRHDE expression had a strong positive correlation with naive B cells. Conclusion: CAMK1D, CENPV, and TRHDE play regulatory roles in NAFLD. In particular, CENPV and TRHDE may regulate the immune microenvironment by mediating resting memory CD4 T cells and naive B cells, respectively, and thus influence disease progression.
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Affiliation(s)
| | | | | | | | | | | | - Shibo Sun
- *Correspondence: Xiaoning Chen, ; Shibo Sun,
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Role and Involvement of TENM4 and miR-708 in Breast Cancer Development and Therapy. Cells 2022; 11:cells11010172. [PMID: 35011736 PMCID: PMC8750459 DOI: 10.3390/cells11010172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/31/2021] [Accepted: 01/02/2022] [Indexed: 12/20/2022] Open
Abstract
Teneurin 4 (TENM4) is a transmembrane protein that is codified by the ODZ4 gene and is involved in nervous system development, neurite outgrowth, and neuronal differentiation. In line with its involvement in the nervous system, TENM4 has also been implicated in several mental disorders such as bipolar disorder, schizophrenia, and autism. TENM4 mutations and rearrangements have recently been identified in a number of tumors. This, combined with impaired expression in tumors, suggests that it may potentially be involved in tumorigenesis. Most of the TENM4 mutations that are observed in tumors occur in breast cancer, in which TENM4 plays a role in cells’ migration and stemness. However, the functional role that TENM4 plays in breast cancer still needs to be better evaluated, and further studies are required to better understand the involvement of TENM4 in breast cancer progression. Herein, we review the currently available data for TENM4′s role in breast cancer and propose its use as both a novel target with which to ameliorate patient prognosis and as a potential biomarker. Moreover, we also report data on the tumorigenic role of miR-708 deregulation and the possible use of this miRNA as a novel therapeutic molecule, as miR-708 is spliced out from TENM4 mRNA.
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DING X, TANG X, HOU Y. Comparative studies on the structure, biological activity and molecular mechanisms of polysaccharides from Boletus aereus (BA-T) and Pleurotus cornucopiae (PC-1). FOOD SCIENCE AND TECHNOLOGY 2022. [DOI: 10.1590/fst.50421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- Xiang DING
- China West Normal University, China; China West Normal University, China
| | | | - Yiling HOU
- China West Normal University, China; Sichuan Institute of Atomic Energy, China; Departmental and Municipal Co-construction of Crops Genetic Improvement of Hill Land Key Laboratory of Sichuan Province, China
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Ates KM, Estes AJ, Liu Y. Potential underlying genetic associations between keratoconus and diabetes mellitus. ADVANCES IN OPHTHALMOLOGY PRACTICE AND RESEARCH 2021; 1:100005. [PMID: 34746916 PMCID: PMC8570550 DOI: 10.1016/j.aopr.2021.100005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/18/2021] [Accepted: 08/29/2021] [Indexed: 12/14/2022]
Abstract
Background Keratoconus (KC) is the most common ectatic corneal disease, characterized by significantly localized thinning of the corneal stroma. Genetic, environmental, hormonal, and metabolic factors contribute to the pathogenesis of KC. Additionally, multiple comorbidities, such as diabetes mellitus, may affect the risk of KC. Main Body Patients with diabetes mellitus (DM) have been reported to have lower risk of developing KC by way of increased endogenous collagen crosslinking in response to chronic hyperglycemia. However, this remains a debated topic as other studies have suggested either a positive association or no association between DM and KC. To gain further insight into the underlying genetic components of these two diseases, we reviewed candidate genes associated with KC and central corneal thickness in the literature. We then explored how these genes may be regulated similarly or differentially under hyperglycemic conditions and the role they play in the systemic complications associated with DM. Conclusion Our comprehensive review of potential genetic factors underlying KC and DM provides a direction for future studies to further determine the genetic etiology of KC and how it is influenced by systemic diseases such as diabetes.
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Affiliation(s)
- Kristin M. Ates
- Department of Cellular Biology and Anatomy, Medical College of Georgia, Augusta University, Augusta, GA, USA
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Amy J. Estes
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, USA
- James and Jean Culver Vision Discovery Institute, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Yutao Liu
- Department of Cellular Biology and Anatomy, Medical College of Georgia, Augusta University, Augusta, GA, USA
- James and Jean Culver Vision Discovery Institute, Medical College of Georgia, Augusta University, Augusta, GA, USA
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
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Chen Y, Chen XY, Dong XL, Wang YZ, Wang N, Zhu JF, Chen Y, Jiang QW, Fu CW. Investigation of the Association between 45 Tag SNPs and Type 2 Diabetes Mellitus in Han Chinese Adults: A Prospective Cohort Study. Public Health Genomics 2021; 24:123-130. [PMID: 33706321 DOI: 10.1159/000513891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 12/17/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION The objective of this study was to examine the association between type 2 diabetes mellitus (T2DM) and genes identified in previous genome-wide association studies (GWASs) in rural Han Chinese adults. METHODS This prospective study included 1,832 adults aged ≥18 years in Deqing without diabetes at baseline. The subjects were followed up for 8.7 years on average. We selected 45 susceptible tag single-nucleotide polymorphisms (SNPs) for T2DM that have been identified in GWASs and genotyped. A Cox model was constructed to calculate the adjusted hazard ratios (aHRs) for the association between SNPs and incident T2DM. RESULTS The incidence rate of T2DM was 12.0 per 1,000 person-years. After adjustment for covariates and a Bonferroni correction, rs17584499 of protein tyrosine phosphatase, receptor-type D (PTPRD), rs11257655 and rs10906115 of cell division cycle 123 gene (CDC123), and rs12970134 of melanocortin-4 receptor (MC4R) were significantly associated with incident T2DM. The aHRs for incident T2DM were 1.75 (95% confidence interval [CI]: 1.28-2.40) and 1.61 (95% CI: 1.27-2.04) in association with an increasing number of T alleles in rs17584499 and rs11257655 under an additive genetic model, and the aHR was 1.72 (95% CI: 1.33-2.22) with an increasing number of A alleles in rs10906115. The aHRs under the dominant model were 1.82 (95% CI: 1.25-2.66) for TT + CT versus CC of rs17584499 and 2.04 (95% CI: 1.47-2.86) for AA + AG versus GG of rs10966115. The aHRs under the recessive model were 2.99 (95% CI: 1.30-6.89) for TT versus CT + CC of rs17584499, 1.92 (95% CI: 1.39-2.70) for TT versus CT + CC of rs11257655, and 2.54 (95% CI:1.22-5.29) for AA versus AG + GG of rs12970134. In addition, an increased incidence of T2DM was significantly associated with the TA haplotype of rs11257655 and rs10906115 (aHR = 1.81, 95% CI: 1.12-2.92), while a decreased incidence was associated with the CG haplotype (aHR = 0.49, 95% CI: 0.35-0.68) and the CT haplotype of rs1111875 and rs5015480 (aHR = 0.61, 95% CI: 0.37-0.98). CONCLUSION Variants of the PTPRD, CDC123, and MC4R genes were associated with the T2DM incidence in a rural Han Chinese population.
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Affiliation(s)
- Yun Chen
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xiao-Ying Chen
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xiao-Lian Dong
- Deqing County Center for Disease Prevention and Control, Deqing County, China
| | - Yu-Zhuo Wang
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Na Wang
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jian-Fu Zhu
- Deqing County Center for Disease Prevention and Control, Deqing County, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Qing-Wu Jiang
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Chao-Wei Fu
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China,
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Zhai M, Guo Y, Su A, Tian H, Sun G, Kang X, Li K, Yan F. Identification of genes related to dexamethasone-induced immunosuppression in chicken thymus using transcriptome analysis. Res Vet Sci 2020; 132:318-327. [PMID: 32726728 DOI: 10.1016/j.rvsc.2020.07.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 06/08/2020] [Accepted: 07/09/2020] [Indexed: 12/22/2022]
Abstract
The molecular mechanism of stress-induced immunosuppression (SIS) in certain poultry immune organs is not completely clear. In this study, we constructed a stress immunosuppression model by selecting 180 healthy 7-day-old Gushi chickens and dividing them randomly into two groups: a D_T group and a B_T group. The D_T group was given dexamethasone, and the B_T group was given normal saline, according to the treatment method established and reported in our previous study. Thymus samples were subsequently taken from both groups. RNA-seq was used to sequence the transcriptomes of the thymus samples from both groups, and 1278 significant differentially expressed genes (DEGs) were obtained, of which 845 genes were up-regulated and 433 genes were down-regulated (padj<0.05, |FC| ≥ 2, FPKM>1). We identified immune-related gene ontology (GO) terms including immune system processes, immune system process regulation, and T cell activation. The results of KEGG (http: //www.kegg.jp) analysis showed that the DEGs are involved in a variety of immune-related pathways, such as cytokine-cytokine receptor interactions, Jak-STAT signaling pathways, and cell adhesion molecules (CAMs). The cytokine-cytokine receptor interaction pathway involves the DEGs CCR6, CCR5, CD40LG and FAS. The DEGs in the Jak-STAT signaling pathway were SPRY2, BCL2L1. These DEGS play an important role in cell apoptosis. CD40L, CD8, among other genes, are involved in the CAMs pathway. The results of this study add to existing data on the genomic study of stress affecting immune function, and provide a basis for further studies of the molecular mechanisms of stress-influenced immune function.
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Affiliation(s)
- Minxi Zhai
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China
| | - Yujie Guo
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China
| | - Aru Su
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China
| | - Huihui Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China; Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou 450046, China
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China; Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou 450046, China.
| | - Kui Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China.
| | - Fengbin Yan
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China; Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou 450046, China.
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Vicente M, Priehodová E, Diallo I, Podgorná E, Poloni ES, Černý V, Schlebusch CM. Population history and genetic adaptation of the Fulani nomads: inferences from genome-wide data and the lactase persistence trait. BMC Genomics 2019; 20:915. [PMID: 31791255 PMCID: PMC6888939 DOI: 10.1186/s12864-019-6296-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 11/15/2019] [Indexed: 01/13/2023] Open
Abstract
Background Human population history in the Holocene was profoundly impacted by changes in lifestyle following the invention and adoption of food-production practices. These changes triggered significant increases in population sizes and expansions over large distances. Here we investigate the population history of the Fulani, a pastoral population extending throughout the African Sahel/Savannah belt. Results Based on genome-wide analyses we propose that ancestors of the Fulani population experienced admixture between a West African group and a group carrying both European and North African ancestries. This admixture was likely coupled with newly adopted herding practices, as it resulted in signatures of genetic adaptation in contemporary Fulani genomes, including the control element of the LCT gene enabling carriers to digest lactose throughout their lives. The lactase persistence (LP) trait in the Fulani is conferred by the presence of the allele T-13910, which is also present at high frequencies in Europe. We establish that the T-13910 LP allele in Fulani individuals analysed in this study lies on a European haplotype background thus excluding parallel convergent evolution. We furthermore directly link the T-13910 haplotype with the Lactase Persistence phenotype through a Genome Wide Association study (GWAS) and identify another genomic region in the vicinity of the SPRY2 gene associated with glycaemic measurements after lactose intake. Conclusions Our findings suggest that Eurasian admixture and the European LP allele was introduced into the Fulani through contact with a North African population/s. We furthermore confirm the link between the lactose digestion phenotype in the Fulani to the MCM6/LCT locus by reporting the first GWAS of the lactase persistence trait. We also explored other signals of recent adaptation in the Fulani and identified additional candidates for selection to adapt to herding life-styles.
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Affiliation(s)
- Mário Vicente
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18C, SE-752 36, Uppsala, Sweden
| | - Edita Priehodová
- Archaeogenetics Laboratory, Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Issa Diallo
- Département de Linguistique et Langues Nationales, Institut des Sciences des Sociétés, CNRST, Ouagadougou, Burkina Faso
| | - Eliška Podgorná
- Archaeogenetics Laboratory, Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Estella S Poloni
- Department of Genetics and Evolution, Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva (IGE3), Geneva, Switzerland
| | - Viktor Černý
- Archaeogenetics Laboratory, Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic.
| | - Carina M Schlebusch
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18C, SE-752 36, Uppsala, Sweden. .,Palaeo-Research Institute, University of Johannesburg, P.O. Box 524, Auckland Park, 2006, South Africa. .,SciLifeLab Uppsala, Uppsala, Sweden.
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Cook NL, Pjanic M, Emmerich AG, Rao AS, Hetty S, Knowles JW, Quertermous T, Castillejo-López C, Ingelsson E. CRISPR-Cas9-mediated knockout of SPRY2 in human hepatocytes leads to increased glucose uptake and lipid droplet accumulation. BMC Endocr Disord 2019; 19:115. [PMID: 31664995 PMCID: PMC6820957 DOI: 10.1186/s12902-019-0442-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 10/10/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The prevalence of obesity and its comorbidities, including type 2 diabetes mellitus (T2DM), is dramatically increasing throughout the world; however, the underlying aetiology is incompletely understood. Genome-wide association studies (GWAS) have identified hundreds of genec susceptibility loci for obesity and T2DM, although the causal genes and mechanisms are largely unknown. SPRY2 is a candidate gene identified in GWAS of body fat percentage and T2DM, and has recently been linked to insulin production in pancreatic β-cells. In the present study, we aimed to further understand SPRY2 via functional characterisation in HepG2 cells, an in vitro model of human hepatocytes widely used to investigate T2DM and insulin resistance. METHODS CRISPR-Cas9 genome editing was used to target SPRY2 in HepG2 cells, and the functional consequences of SPRY2 knockout (KO) and overexpression subsequently assessed using glucose uptake and lipid droplet assays, measurement of protein kinase phosphorylation and RNA sequencing. RESULTS The major functional consequence of SPRY2 KO was a significant increase in glucose uptake, along with elevated lipid droplet accumulation. These changes were attenuated, but not reversed, in cells overexpressing SPRY2. Phosphorylation of protein kinases across key signalling pathways (including Akt and mitogen activated protein kinases) was not altered after SPRY2 KO. Transcriptome profiling in SPRY2 KO and mock (control) cells revealed a number of differentially expressed genes related to cholesterol biosynthesis, cell cycle regulation and cellular signalling pathways. Phospholipase A2 group IIA (PLA2G2A) mRNA level was subsequently validated as significantly upregulated following SPRY2 KO, highlighting this as a potential mediator downstream of SPRY2. CONCLUSION These findings suggest a role for SPRY2 in glucose and lipid metabolism in hepatocytes and contribute to clarifying the function of this gene in the context of metabolic diseases.
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Affiliation(s)
- Naomi L Cook
- Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Milos Pjanic
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Andrew G Emmerich
- Molecular Systems Biology, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
| | - Abhiram S Rao
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Susanne Hetty
- Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Joshua W Knowles
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Thomas Quertermous
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Casimiro Castillejo-López
- Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Erik Ingelsson
- Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA.
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Lee WH, Tsai MJ, Chang WA, Wu LY, Wang HY, Chang KF, Su HM, Kuo PL. Deduction of novel genes potentially involved in hypoxic AC16 human cardiomyocytes using next-generation sequencing and bioinformatics approaches. Int J Mol Med 2018; 42:2489-2502. [PMID: 30226555 PMCID: PMC6192719 DOI: 10.3892/ijmm.2018.3851] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Accepted: 08/28/2018] [Indexed: 12/21/2022] Open
Abstract
Atherosclerotic cardiovascular disease and acute myocardial infarction are the leading causes of mortality worldwide, and apoptosis is the major pathway of cardiomyocyte death under hypoxic conditions. Although studies have reported changes in the expression of certain pro‑apoptotic and anti‑apoptotic genes in hypoxic cardiomyocytes, genetic regulations are complex in human cardiomyocytes and there is much that remains to be fully elucidated. The present study aimed to identify differentially expressed genes in hypoxic human AC16 cardiomyocytes using next‑generation sequencing and bioinformatics. A total of 24 genes (15 upregulated and 9 downregulated) with potential micro (mi)RNA‑mRNA interactions were identified in the miRmap database. Utilising the Gene Expression Omnibus database of cardiac microvascular endothelial cells, tensin 1, B‑cell lymphoma 2‑interacting protein 3 like, and stanniocalcin 1 were found to be upregulated, and transferrin receptor and methyltransferase like 7A were found to be downregulated in response to hypoxia. Considering the results from miRmap, TargetScan and miRDB together, two potential miRNA‑mRNA interactions were identified: hsa‑miRNA (miR)‑129‑5p/CDC42EP3 and hsa‑miR‑330‑3p/HELZ. These findings contribute important insights into possible novel diagnostic or therapeutic strategies for targeting cardiomyocytes under acute hypoxic stress in conditions, including acute myocardial infarction. The results of the present study also introduce an important novel approach in investigating acute hypoxic pathophysiology.
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Affiliation(s)
- Wen-Hsien Lee
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan, R.O.C
| | - Ming-Ju Tsai
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan, R.O.C
| | - Wei-An Chang
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan, R.O.C
| | - Ling-Yu Wu
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan, R.O.C
| | - Han-Ying Wang
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan, R.O.C
| | | | - Ho-Ming Su
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan, R.O.C
| | - Po-Lin Kuo
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan, R.O.C
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Ma MCJ, Pettus JM, Jakoubek JA, Traxler MG, Clark KC, Mennie AK, Kwitek AE. Contribution of independent and pleiotropic genetic effects in the metabolic syndrome in a hypertensive rat. PLoS One 2017; 12:e0182650. [PMID: 28792545 PMCID: PMC5549746 DOI: 10.1371/journal.pone.0182650] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 07/22/2017] [Indexed: 11/26/2022] Open
Abstract
Hypertension is a major risk factor for cardiovascular disease, Type 2 diabetes, and end organ failure, and is often found concomitant with disorders characteristic of the Metabolic Syndrome (MetS), including obesity, dyslipidemia, and insulin resistance. While the associated features often occur together, the pathway(s) or mechanism(s) linking hypertension in MetS are not well understood. Previous work determined that genetic variation on rat chromosome 17 (RNO17) contributes to several MetS-defining traits (including hypertension, obesity, and dyslipidemia) in the Lyon Hypertensive (LH) rat, a genetically determined MetS model. We hypothesized that at least some of the traits on RNO17 are controlled by a single gene with pleiotropic effects. To address this hypothesis, consomic and congenic strains were developed, whereby a defined fragment of RNO17 from the LH rat was substituted with the control Lyon Normotensive (LN) rat, and MetS phenotypes were measured in the resultant progeny. Compared to LH rats, LH-17LN consomic rats have significantly reduced body weight, blood pressure, and lipid profiles. A congenic strain (LH-17LNc), with a substituted fragment at the distal end of RNO17 (17q12.3; 74–97 Mb; rn4 assembly), showed differences from the LH rat in blood pressure and serum total cholesterol and triglycerides. Interestingly, there was no difference in body weight between the LH-17LNc and the parental LH rat. These data indicate that blood pressure and serum lipids are regulated by a gene(s) in the distal congenic interval, and could be due to pleiotropy. The data also indicate that body weight is not determined by the same gene(s) at this locus. Interestingly, only two small haplotypes spanning a total of approximately 0.5 Mb differ between the LH and LN genomes in the congenic interval. Genes in these haplotypes are strong candidate genes for causing dyslipidemia in the LH rat. Overall, MetS, even in a simplified genetic model such as the LH-17LN rat, is likely due to both independent and pleiotropic gene effects.
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Affiliation(s)
- Man Chun John Ma
- Department of Pharmacology, University of Iowa, Iowa City, Iowa, United States of America
| | - Janette M. Pettus
- Department of Pharmacology, University of Iowa, Iowa City, Iowa, United States of America
| | - Jessica A. Jakoubek
- Department of Pharmacology, University of Iowa, Iowa City, Iowa, United States of America
| | - Matthew G. Traxler
- Department of Pharmacology, University of Iowa, Iowa City, Iowa, United States of America
| | - Karen C. Clark
- Department of Pharmacology, University of Iowa, Iowa City, Iowa, United States of America
| | - Amanda K. Mennie
- Department of Pharmacology, University of Iowa, Iowa City, Iowa, United States of America
| | - Anne E. Kwitek
- Department of Pharmacology, University of Iowa, Iowa City, Iowa, United States of America
- Iowa Institute of Human Genetics, University of Iowa, Iowa City, Iowa, United States of America
- * E-mail:
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12
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Affiliation(s)
- Decio L Eizirik
- ULB Center for Diabetes Research, Université Libre de Bruxelles, Brussels, Belgium
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Pappalardo Z, Gambhir Chopra D, Hennings TG, Richards H, Choe J, Yang K, Baeyens L, Ang K, Chen S, Arkin M, German MS, McManus MT, Ku GM. A Whole-Genome RNA Interference Screen Reveals a Role for Spry2 in Insulin Transcription and the Unfolded Protein Response. Diabetes 2017; 66:1703-1712. [PMID: 28246293 PMCID: PMC5440024 DOI: 10.2337/db16-0962] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2016] [Accepted: 02/16/2017] [Indexed: 12/18/2022]
Abstract
Insulin production by the pancreatic β-cell is required for normal glucose homeostasis. While key transcription factors that bind to the insulin promoter are known, relatively little is known about the upstream regulators of insulin transcription. Using a whole-genome RNA interference screen, we uncovered 26 novel regulators of insulin transcription that regulate diverse processes including oxidative phosphorylation, vesicle traffic, and the unfolded protein response (UPR). We focused on Spry2-a gene implicated in human type 2 diabetes by genome-wide association studies but without a clear connection to glucose homeostasis. We showed that Spry2 is a novel UPR target and its upregulation is dependent on PERK. Knockdown of Spry2 resulted in reduced expression of Serca2, reduced endoplasmic reticulum calcium levels, and induction of the UPR. Spry2 deletion in the adult mouse β-cell caused hyperglycemia and hypoinsulinemia. Our study greatly expands the compendium of insulin promoter regulators and demonstrates a novel β-cell link between Spry2 and human diabetes.
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Affiliation(s)
- Zachary Pappalardo
- Diabetes Center, University of California, San Francisco, San Francisco, CA
| | | | - Thomas G Hennings
- Diabetes Center, University of California, San Francisco, San Francisco, CA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA
| | - Hunter Richards
- Diabetes Center, University of California, San Francisco, San Francisco, CA
| | - Justin Choe
- Diabetes Center, University of California, San Francisco, San Francisco, CA
| | - Katherine Yang
- Diabetes Center, University of California, San Francisco, San Francisco, CA
| | - Luc Baeyens
- Diabetes Center, University of California, San Francisco, San Francisco, CA
| | - Kenny Ang
- Small Molecule Discovery Center, University of California, San Francisco, San Francisco, CA
| | - Steven Chen
- Small Molecule Discovery Center, University of California, San Francisco, San Francisco, CA
| | - Michelle Arkin
- Small Molecule Discovery Center, University of California, San Francisco, San Francisco, CA
| | - Michael S German
- Diabetes Center, University of California, San Francisco, San Francisco, CA
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Francisco, San Francisco, CA
| | - Michael T McManus
- Diabetes Center, University of California, San Francisco, San Francisco, CA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA
| | - Gregory M Ku
- Diabetes Center, University of California, San Francisco, San Francisco, CA
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Francisco, San Francisco, CA
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Kasuga Y, Hata K, Tajima A, Ochiai D, Saisho Y, Matsumoto T, Arata N, Miyakoshi K, Tanaka M. Association of common polymorphisms with gestational diabetes mellitus in Japanese women: A case-control study. Endocr J 2017; 64:463-475. [PMID: 28202837 DOI: 10.1507/endocrj.ej16-0431] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Gestational diabetes (GDM) and type 2 diabetes (T2DM) share part of pathomechanism and several T2DM susceptibility genes are demonstrated to be associated with GDM. No information on the genetics of GDM, however, was available in Japanese women. In this study, T2DM risk variants (45 single nucleotide polymorphisms [SNPs] from 36 genes) identified in previous studies were genotyped using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry in a cohort of 171 Japanese women with GDM and 128 normal glucose tolerance (NGT) diagnosed by the new International Association of Diabetes in Pregnancy Study Group criteria. Of 45 SNPs, three genetic variants were nominally associated with the development of GDM: rs266729 (p = 0.013, odds ratio [OR]: 1.56, 95% confidence interval [CI]: 1.10-2.23) in ADIPOQ, rs10811661 (p = 0.035, OR: 1.46, 95% CI: 1.03-2.08) in CDKN2A/2B, and rs9505118 (p = 0.046, OR: 1.41, 95% CI: 1.01-1.97) in SSR1-RREB1. There was a significant difference in the number of risk alleles of three variants between women with GDM and NGT (3.79 ± 1.33 vs. 3.05 ± 1.41, p = 6.0 × 10-6). In combined analysis of three genetic variants, women with five or more risk alleles had a 7.32-fold increased risk of GDM (p = 5.6 × 10-5, 95% CI: 4.54-11.96), compared with those having no more than one risk allele. Our results suggest several risk variants of T2DM had cumulative effects on the development of GDM in Japanese women.
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Affiliation(s)
- Yoshifumi Kasuga
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo 160-8582, Japan
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo 157-8583, Japan
| | - Kenichiro Hata
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo 157-8583, Japan
| | - Atsushi Tajima
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa 920-8640, Japan
| | - Daigo Ochiai
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Yoshifumi Saisho
- Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Tadashi Matsumoto
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Naoko Arata
- Department of Women's Health, National Center for Child Health and Development, Tokyo 157-8583, Japan
| | - Kei Miyakoshi
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Mamoru Tanaka
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo 160-8582, Japan
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Tarnowski M, Malinowski D, Safranow K, Dziedziejko V, Pawlik A. CDC123/CAMK1D gene rs12779790 polymorphism and rs10811661 polymorphism upstream of the CDKN2A/2B gene in women with gestational diabetes. J Perinatol 2017; 37:345-348. [PMID: 28079868 DOI: 10.1038/jp.2016.249] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 10/23/2016] [Accepted: 11/29/2016] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is carbohydrate intolerance occurring in pregnant women. CDC123/CAMK1D and CDKN2A/2B are associated with increased risk of type 2 diabetes and may affect pancreatic beta cell function. The aim of this study was to examine the association between CDKN2A/2B rs10811661 and CDC123/CAMK1D rs12779790 gene polymorphisms and GDM. STUDY DESIGN This study included 411 pregnant women. The diagnosis of GDM was based on the International Association of Diabetes and Pregnancy Study Groups criteria. According to the results of their oral glucose tolerance test, the women were divided into two groups: 204 pregnant women with GDM and 207 pregnant women with normal glucose tolerance. RESULTS There were no statistically significant differences in the distribution of CDC123/CAMK1D rs12779790 genotypes and alleles between women with GDM and healthy pregnant women. However, there was a statistically significant association between the C allele of CDKN2A/2B rs10811661 polymorphism and reduced risk of GDM (C vs T, OR 0.53, 95% CI 0.36 to 0.79, P=0.0014). In the multivariate logistic regression analysis, older age and higher body mass index before pregnancy were independent significant predictors of a higher risk of GDM, while higher number of C alleles (CDKN2A/2B rs10811661) was a protective factor against GDM. CONCLUSION The results of this study suggest an association between CDKN2A/2B gene rs10811661 polymorphism and GDM.
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Affiliation(s)
- M Tarnowski
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - D Malinowski
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - K Safranow
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
| | - V Dziedziejko
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
| | - A Pawlik
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
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Replication Study in a Japanese Population of Six Susceptibility Loci for Type 2 Diabetes Originally Identified by a Transethnic Meta-Analysis of Genome-Wide Association Studies. PLoS One 2016; 11:e0154093. [PMID: 27115357 PMCID: PMC4845992 DOI: 10.1371/journal.pone.0154093] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 04/08/2016] [Indexed: 01/21/2023] Open
Abstract
AIM We performed a replication study in a Japanese population to evaluate the association between type 2 diabetes and six susceptibility loci (TMEM154, SSR1, FAF1, POU5F1, ARL15, and MPHOSPH9) originally identified by a transethnic meta-analysis of genome-wide association studies (GWAS) in 2014. METHODS We genotyped 7,620 Japanese participants (5,817 type 2 diabetes patients and 1,803 controls) for each of the single nucleotide polymorphisms (SNPs) using a multiplex polymerase chain reaction invader assay. The association of each SNP locus with the disease was evaluated using logistic regression analysis. RESULTS Of the six SNPs examined in this study, four (rs6813195 near TMEM154, rs17106184 in FAF1, rs3130501 in POU5F1 and rs4275659 near MPHOSPH9) had the same direction of effect as in the original reports, but two (rs9505118 in SSR1 and rs702634 in ARL15) had the opposite direction of effect. Among these loci, rs3130501 and rs4275659 were nominally associated with type 2 diabetes (rs3130501; p = 0.017, odds ratio [OR] = 1.113, 95% confidence interval [CI] 1.019-1.215, rs4275659; p = 0.012, OR = 1.127, 95% CI 1.026-1.238, adjusted for sex, age and body mass index), but we did not observe a significant association with type 2 diabetes for any of the six evaluated SNP loci in our Japanese population. CONCLUSIONS Our results indicate that effects of the six SNP loci identified in the transethnic GWAS meta-analysis are not major among the Japanese, although SNPs in POU5F1 and MPHOSPH9 loci may have some effect on susceptibility to type 2 diabetes in this population.
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Sakai K, Imamura M, Tanaka Y, Iwata M, Hirose H, Kaku K, Maegawa H, Watada H, Tobe K, Kashiwagi A, Kawamori R, Maeda S. Replication study of the association of rs7578597 in THADA, rs10886471 in GRK5, and rs7403531 in RASGRP1 with susceptibility to type 2 diabetes among a Japanese population. Diabetol Int 2015. [DOI: 10.1007/s13340-015-0202-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Goda N, Murase H, Kasezawa N, Goda T, Yamakawa-Kobayashi K. Polymorphism in microRNA-binding site in HNF1B influences the susceptibility of type 2 diabetes mellitus: a population based case-control study. BMC MEDICAL GENETICS 2015; 16:75. [PMID: 26329304 PMCID: PMC4557749 DOI: 10.1186/s12881-015-0219-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 08/18/2015] [Indexed: 02/05/2023]
Abstract
Background Recent genome-wide association studies (GWAS) have identified many SNPs associated with type 2 diabetes mellitus (T2DM). However, the functional roles for most of the SNPs have not been elucidated. MicroRNAs (miRNAs) are key regulators of gene expression involved in the development and progression of various diseases including T2DM. In this study, we investigated whether commonly occurring SNPs modulate miRNA-directed regulation of gene expression, and whether such SNPs in miRNA-binding sites are associated with the susceptibility for T2DM. Methods Genotypes of eleven 3′ untranslated region (UTR) SNPs of seven susceptibility genes for T2DM were determined in 353 T2DM patients and 448 control subjects. In addition, the interactions of miRNAs with the 3′UTR in the hepatocyte nuclear factor 1β (HNF1B) gene were investigated using luciferase reporter assays. Results One 3′UTR SNP (rs2229295) in the HNF1B gene was significantly associated with T2DM, and the frequency of an A allele (rs2229295) in T2DM patients was decreased compared with that in controls. Luciferase reporter assays showed that the SNP (rs2229295) altered the binding of two miRNAs (hsa-miR-214-5p and hsa-miR-550a-5p). Conclusions We have detected the interactions of hsa-miR-214-5p/hsa-miR-550a-5p and the 3′UTR SNP of the HNF1B gene by in vitro luciferase reporter assays, and propose that the binding of such miRNAs regulates the expression of the HNF1B gene and the susceptibility of T2DM. Electronic supplementary material The online version of this article (doi:10.1186/s12881-015-0219-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Naoki Goda
- Laboratory of Human Genetics, School of Food and Nutritional Sciences, Graduate School of Integrated Pharmaceutical and Nutritional Sciences, University of Shizuoka, Shizuoka, 422-8526, Japan.
| | - Haruna Murase
- Laboratory of Human Genetics, School of Food and Nutritional Sciences, Graduate School of Integrated Pharmaceutical and Nutritional Sciences, University of Shizuoka, Shizuoka, 422-8526, Japan.
| | - Nobuhiko Kasezawa
- Department of Data Managements for Health Evaluation & Promotion, Shizuoka Medical Center, Shizuoka, 422-8033, Japan. .,Present address: Fuji iki-iki Hospital, Health Promotion Center, Temma, Fuji-shi, Shizuoka, 419-0205, Japan.
| | - Toshinao Goda
- Laboratory of Nutritional Physiology, School of Food and Nutritional Sciences, Graduate School of Integrated Pharmaceutical and Nutritional Sciences, University of Shizuoka, Shizuoka, 422-8526, Japan.
| | - Kimiko Yamakawa-Kobayashi
- Laboratory of Human Genetics, School of Food and Nutritional Sciences, Graduate School of Integrated Pharmaceutical and Nutritional Sciences, University of Shizuoka, Shizuoka, 422-8526, Japan.
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Huerta-Chagoya A, Vázquez-Cárdenas P, Moreno-Macías H, Tapia-Maruri L, Rodríguez-Guillén R, López-Vite E, García-Escalante G, Escobedo-Aguirre F, Parra-Covarrubias A, Cordero-Brieño R, Manzo-Carrillo L, Zacarías-Castillo R, Vargas-García C, Aguilar-Salinas C, Tusié-Luna T. Genetic determinants for gestational diabetes mellitus and related metabolic traits in Mexican women. PLoS One 2015; 10:e0126408. [PMID: 25973943 PMCID: PMC4431878 DOI: 10.1371/journal.pone.0126408] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Accepted: 03/05/2015] [Indexed: 12/13/2022] Open
Abstract
Epidemiological and physiological similarities among Gestational Diabetes Mellitus (GDM) and Type 2 Diabetes (T2D) suggest that both diseases, share a common genetic background. T2D risk variants have been associated to GDM susceptibility. However, the genetic architecture of GDM is not yet completely understood. We analyzed 176 SNPs for 115 loci previously associated to T2D, GDM and body mass index (BMI), as well as a set of 118 Ancestry Informative Markers (AIMs), in 750 pregnant Mexican women. Association with GDM was found for two of the most frequently replicated T2D loci: a TCF7L2 haplotype (CTTC: rs7901695, rs4506565, rs7903146, rs12243326; P=2.16x10-06; OR=2.95) and a KCNQ1 haplotype (TTT: rs2237892, rs163184, rs2237897; P=1.98x10-05; OR=0.55). In addition, we found two loci associated to glycemic traits: CENTD2 (60’ OGTT glycemia: rs1552224, P=0.03727) and MTNR1B (HOMA B: rs1387153, P=0.05358). Remarkably, a major susceptibility SLC16A11 locus for T2D in Mexicans was not shown to play a role in GDM risk. The fact that two of the main T2D associated loci also contribute to the risk of developing GDM in Mexicans, confirm that both diseases share a common genetic background. However, lack of association with a Native American contribution T2D risk haplotype, SLC16A11, suggests that other genetic mechanisms may be in play for GDM.
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Affiliation(s)
- Alicia Huerta-Chagoya
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas, UNAM / Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, D.F., Mexico City, Mexico
| | - Paola Vázquez-Cárdenas
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas, UNAM / Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, D.F., Mexico City, Mexico
| | | | - Leonardo Tapia-Maruri
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas, UNAM / Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, D.F., Mexico City, Mexico
| | - Rosario Rodríguez-Guillén
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas, UNAM / Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, D.F., Mexico City, Mexico
| | - Erika López-Vite
- Departamento de Ginelocología y Obstetricia, Hospital General O´Horan, Mérida, Yucatán, México
| | | | - Fernando Escobedo-Aguirre
- Departamento de Ginecología y Medicina Perinatal, Centro Médico Nacional 20 de Noviembre, D.F., Mexico City, Mexico
| | | | - Roberto Cordero-Brieño
- Departamento de Ginecología y Obstetricia, Hospital General Manuel Gea González, D.F., Mexico City, Mexico
| | - Lizette Manzo-Carrillo
- Departamento de Ginecología y Obstetricia, Hospital General Manuel Gea González, D.F., Mexico City, Mexico
| | - Rogelio Zacarías-Castillo
- Departamento de Ginecología y Obstetricia, Hospital General Manuel Gea González, D.F., Mexico City, Mexico
| | - Carlos Vargas-García
- Departamento de Ginecología y Obstetricia, Centro de Investigación Materno Infantil GEN, D.F., Mexico City, Mexico
| | - Carlos Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salcador Zubirán, D.F., Mexico City, Mexico
| | - Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas, UNAM / Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, D.F., Mexico City, Mexico
- * E-mail:
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Matsuba R, Sakai K, Imamura M, Tanaka Y, Iwata M, Hirose H, Kaku K, Maegawa H, Watada H, Tobe K, Kashiwagi A, Kawamori R, Maeda S. Replication Study in a Japanese Population to Evaluate the Association between 10 SNP Loci, Identified in European Genome-Wide Association Studies, and Type 2 Diabetes. PLoS One 2015; 10:e0126363. [PMID: 25951451 PMCID: PMC4423838 DOI: 10.1371/journal.pone.0126363] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Accepted: 04/01/2015] [Indexed: 11/19/2022] Open
Abstract
Aim We performed a replication study in a Japanese population to evaluate the association between type 2 diabetes and 7 susceptibility loci originally identified by European genome-wide association study (GWAS) in 2012: ZMIZ1, KLHDC5, TLE1, ANKRD55, CILP2, MC4R, and BCAR1. We also examined the association of 3 additional loci: CCND2 and GIPR, identified in sex-differentiated analyses, and LAMA1, which was shown to be associated with non-obese European type 2 diabetes. Methods We genotyped 6,972 Japanese participants (4,280 type 2 diabetes patients and 2,692 controls) for each of the 10 single nucleotide polymorphisms (SNPs): rs12571751 in ZMIZ1, rs10842994 near KLHDC5, rs2796441 near TLE1, rs459193 near ANKRD55, rs10401969 in CILP2, rs12970134 near MC4R, rs7202877 near BCAR1, rs11063069 near CCND2, rs8108269 near GIPR, and rs8090011 in LAMA1 using a multiplex polymerase chain reaction invader assay. The association of each SNP locus with the disease was evaluated using a logistic regression analysis. Results All SNPs examined in this study had the same direction of effect (odds ratio > 1.0, p = 9.77 × 10-4, binomial test), as in the original reports. Among them, rs12571751 in ZMIZ1 was significantly associated with type 2 diabetes [p = 0.0041, odds ratio = 1.123, 95% confidence interval 1.037–1.215, adjusted for sex, age and body mass index (BMI)], but we did not observe significant association of the remaining 9 SNP loci with type 2 diabetes in the present Japanese population (p ≥ 0.005). A genetic risk score, constructed from the sum of risk alleles for the 7 SNP loci identified by un-stratified analyses in the European GWAS meta-analysis were associated with type 2 diabetes in the present Japanese population (p = 2.3 × 10-4, adjusted for sex, age and BMI). Conclusions ZMIZ1 locus has a significant effect on conferring susceptibility to type 2 diabetes also in the Japanese population.
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Affiliation(s)
- Ren Matsuba
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Kensuke Sakai
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Minako Imamura
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- * E-mail:
| | - Yasushi Tanaka
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Minoru Iwata
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
- Community Medical Support Unit, Faculty of Medicine, University of Toyama, Toyama, Japan
| | - Hiroshi Hirose
- Health Center, Keio University School of Medicine, Tokyo, Japan
| | - Kohei Kaku
- Department of Internal Medicine, Kawasaki Medical School, Kurashiki, Japan
| | - Hiroshi Maegawa
- Department of Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kazuyuki Tobe
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Atsunori Kashiwagi
- Department of Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Ryuzo Kawamori
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shiro Maeda
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
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Lara-Riegos JC, Ortiz-López MG, Peña-Espinoza BI, Montúfar-Robles I, Peña-Rico MA, Sánchez-Pozos K, Granados-Silvestre MA, Menjivar M. Diabetes susceptibility in Mayas: Evidence for the involvement of polymorphisms in HHEX, HNF4α, KCNJ11, PPARγ, CDKN2A/2B, SLC30A8, CDC123/CAMK1D, TCF7L2, ABCA1 and SLC16A11 genes. Gene 2015; 565:68-75. [PMID: 25839936 DOI: 10.1016/j.gene.2015.03.065] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Revised: 03/13/2015] [Accepted: 03/29/2015] [Indexed: 01/11/2023]
Abstract
Association of type 2 diabetes (T2D) with common variants in HHEX, HNF4α, KCNJ11, PPARγ, CDKN2A/2B, SLC30A8, CDC123/CAMK1D, TCF7L2, ABCA1 and SLC16A11 genes have been reported, mainly in populations of European and Asian ancestry and to a lesser extent in Latin Americans. Thus, we aimed to investigate the contribution of rs1111875 (HHEX), rs1800961 (HNF4α), rs5219 (KCNJ11), rs1801282 (PPARγ), rs10811661 (CDKN2A/2B), rs13266634 (SLC30A8), rs12779790 (CDC123/CAMK1D), rs7903146 (TCF7L2), rs9282541 (ABCA1) and rs13342692 (SLC16A11) polymorphisms in the genetic background of Maya population to associate their susceptibility to develop T2D. This is one of the first studies designed specifically to investigate the inherited component of T2D in the indigenous population of Mexico. SNPs were genotyped by allelic discrimination method in 575 unrelated Maya individuals. Two SNPs rs10811661 and rs928254 were significantly associated with T2D after adjusting for BMI; rs10811661 in a recessive and rs9282541 in a dominant model. Additionally, we found phenotypical alterations associated with genetic variants: HDL to rs9282541 and insulin to rs13342692. In conclusion, these findings support an association of genetic polymorphisms to develop T2D in Maya population.
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Affiliation(s)
- J C Lara-Riegos
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - M G Ortiz-López
- Laboratory of Molecular Endocrinology, Hospital Juárez de México, Mexico
| | - B I Peña-Espinoza
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - I Montúfar-Robles
- Laboratory of Molecular Endocrinology, Hospital Juárez de México, Mexico
| | - M A Peña-Rico
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - K Sánchez-Pozos
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - M A Granados-Silvestre
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - M Menjivar
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico.
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Cheng J, Tang L, Hong Q, Ye H, Xu X, Xu L, Bu S, Wang Q, Dai D, Jiang D, Duan S. Investigation into the promoter DNA methylation of three genes (CAMK1D, CRY2 and CALM2) in the peripheral blood of patients with type 2 diabetes. Exp Ther Med 2014; 8:579-584. [PMID: 25009623 PMCID: PMC4079401 DOI: 10.3892/etm.2014.1766] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2014] [Accepted: 05/19/2014] [Indexed: 11/30/2022] Open
Abstract
Promoter DNA methylation may reflect the interaction between genetic backgrounds and environmental factors in the development of metabolic disorders, including type 2 diabetes (T2D). Calcium/calmodulin-dependent protein kinase 1D (CAMK1D), cryptochrome 2 (CRY2) and calmodulin 2 (CALM2) genes have been identified to be associated with a risk of T2D. Therefore, the aim of the present study was to investigate the contribution of promoter DNA methylation of these genes to the risk of T2D. Using bisulfite pyrosequencing technology, the DNA methylation levels of the CpG dinucleotides within the CAMK1D, CRY2 and CALM2 gene promoters were measured in 48 patients with T2D and 48 age- and gender-matched healthy controls. The results demonstrated that the promoters of these three genes were hypomethylated in the peripheral blood of all the subjects, and DNA methylation of these three genes did not contribute to the risk of T2D.
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Affiliation(s)
- Jia Cheng
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China ; Department of Clinical Medicine, Ningbo Kangning Hospital, Ningbo, Zhejiang 315201, P.R. China
| | - Linlin Tang
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Qingxiao Hong
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Huadan Ye
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Xuting Xu
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Leiting Xu
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Shizhong Bu
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Qinwen Wang
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Dongjun Dai
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Danjie Jiang
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Shiwei Duan
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
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Bassols J, Moreno-Navarrete J, Carreras-Badosa G, Diaz M, Prats-Puig A, Palomer AM, de Zegher F, Ibáñez L, Fernandez-Real JM, Lopez-Bermejo A. Placental sprouty 2 (SPRY2): relation to placental growth and maternal metabolic status. Neonatology 2014; 106:120-5. [PMID: 24969401 DOI: 10.1159/000362783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2014] [Accepted: 04/10/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND SPROUTY2 (SPRY2) is a membrane-associated protein expressed by placental macrophages with regulatory roles in tissue growth and development. The SPRY2 locus was shown to be associated with body fat distribution and susceptibility to type 2 diabetes. OBJECTIVES We assessed whether SPRY2 mRNA levels are related with maternal metabolic status and with placental weight. We also studied the association of placental mRNA of SPRY2 with macrophage-derived inflammatory genes. METHODS A maternal metabolic profile [C-peptide, post-load glucose and high-molecular-weight (HMW) adiponectin] was assessed between 24 and 28 weeks of gestation in 200 control women delivering adequate-for-gestational-age (AGA) infants. Placentas and newborns were weighed at delivery. Placental mRNA levels of SPRY2 and of macrophage-derived inflammatory genes MMP2, TNFα and CD163 were quantified by real-time PCR. Women delivering small-for-gestational-age infants (SGA, n = 25) and women with gestational diabetes (GDM, n = 25) were also studied as validation groups for placental growth. RESULTS In control women delivering AGA infants, placental SPRY2 mRNA levels showed positive associations with a more adverse maternal metabolic status (higher maternal C-peptide and post-load glucose and lower HMW adiponectin), with more placental weight and with a more placental inflammatory phenotype (higher placental mRNA levels of MMP2,TNFα and CD163) (all p < 0.05 to p = 0.001). Compared to AGA infants, placental weight and placental SPRY2 mRNA levels were lower in placentas from SGA infants and higher in placentas from women with GDM (all p < 0.0001). CONCLUSIONS Our results suggest a link between placental SPRY2 mRNA levels and placental growth, which may be modulated by maternal metabolic status and placental inflammation.
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Affiliation(s)
- Judit Bassols
- Department of Pediatrics, Dr. Josep Trueta Hospital, Girona, Spain
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Sakai K, Imamura M, Tanaka Y, Iwata M, Hirose H, Kaku K, Maegawa H, Watada H, Tobe K, Kashiwagi A, Kawamori R, Maeda S. Replication study for the association of 9 East Asian GWAS-derived loci with susceptibility to type 2 diabetes in a Japanese population. PLoS One 2013; 8:e76317. [PMID: 24086726 PMCID: PMC3783369 DOI: 10.1371/journal.pone.0076317] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Accepted: 08/23/2013] [Indexed: 12/26/2022] Open
Abstract
Aims East Asian genome-wide association studies (GWAS) for type 2 diabetes identified 8 loci with genome-wide significance, and 2 loci with a borderline association. However, the associations of these loci except MAEA locus with type 2 diabetes have not been evaluated in independent East Asian cohorts. We performed a replication study to investigate the association of these susceptibility loci with type 2 diabetes in an independent Japanese population. Methods We genotyped 7,379 Japanese participants (5,315 type 2 diabetes and 2,064 controls) for each of the 9 single nucleotide polymorphisms (SNPs), rs7041847 in GLIS3, rs6017317 in FITM2−R3HDML−HNF4A, rs6467136 near GCCI−PAX4, rs831571 near PSMD6, rs9470794 in ZFAND3, rs3786897 in PEPD, rs1535500 in KCNK16, rs16955379 in CMIP, and rs17797882 near WWOX. Because the sample size in this study was not sufficient to replicate single SNP associations, we constructed a genetic risk score (GRS) by summing a number of risk alleles of the 9 SNPs, and examined the association of the GRS with type 2 diabetes using logistic regression analysis. Results With the exception of rs1535500 in KCNK16, all SNPs had the same direction of effect (odds ratio [OR]>1.0) as in the original reports. The GRS constructed from the 9 SNPs was significantly associated with type 2 diabetes in the Japanese population (p = 4.0 × 10-4, OR = 1.05, 95% confidence interval: 1.02–1.09). In quantitative trait analyses, rs16955379 in CMIP was nominally associated with a decreased homeostasis model assessment of β-cell function and with increased fasting plasma glucose, but neither the individual SNPs nor the GRS showed a significant association with the glycemic traits. Conclusions These results indicate that 9 loci that were identified in the East Asian GWAS meta-analysis have a significant effect on the susceptibility to type 2 diabetes in the Japanese population.
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Affiliation(s)
- Kensuke Sakai
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Minako Imamura
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yasushi Tanaka
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Minoru Iwata
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Hiroshi Hirose
- Health Center, Keio University School of Medicine, Tokyo, Japan
| | - Kohei Kaku
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Kawasaki medical school, Kurashiki, Japan
| | - Hiroshi Maegawa
- Department of Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kazuyuki Tobe
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Atsunori Kashiwagi
- Department of Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Ryuzo Kawamori
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shiro Maeda
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- * E-mail:
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Replication study for the association of a single-nucleotide polymorphism, rs3746876, within KCNJ15, with susceptibility to type 2 diabetes in a Japanese population. J Hum Genet 2013; 58:490-3. [PMID: 23595124 DOI: 10.1038/jhg.2013.28] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Revised: 03/21/2013] [Accepted: 03/25/2013] [Indexed: 02/06/2023]
Abstract
By an association mapping for the candidate locus in chromosome 21q, rs3746876 within KCNJ15 was shown to be associated with type 2 diabetes in Japanese populations. However, the association of rs3746876 with type 2 diabetes has not been validated in an independent cohort. The aim of the present study was to ascertain the association of rs3746876 with type 2 diabetes in an independent larger Japanese sample. We genotyped 7885 Japanese participants (4967 individuals with type 2 diabetes and 2918 control individuals) for rs3746876 with polymerase-chain reaction-invader assay. The association of rs3746876 with type 2 diabetes was examined by using logistic regression analysis. Quantitative traits analyses for homeostasis model assessment (HOMA) of β-cell function, HOMA of insulin resistance, fasting plasma glucose, fasting immunoreactive insulin and body mass index (BMI) were performed in control individuals by using multiple-linear regression analysis. We observed a significant association of rs3746876-T with type 2 diabetes (P=0.0281, odds ratio (OR)=0.82, 95% confidence interval (CI, 0.68-0.98)), but the direction of effect was opposite to that in the original report. The association of rs3746876 with type 2 diabetes was more significant in obese patients (BMI ≥ 25 kg m(-2), P=0.0025, OR=0.62, 95% CI, 0.45-0.84). We did not observe significant association of rs3746876 with any of the quantitative traits in the control individuals. We could not replicate the original finding for the association of rs3746876 with type 2 diabetes, although rs3746876 was significantly associated with obese type 2 diabetes in the present Japanese population.
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Imamura M, Iwata M, Maegawa H, Watada H, Hirose H, Tanaka Y, Tobe K, Kaku K, Kashiwagi A, Kadowaki T, Kawamori R, Maeda S. Replication study for the association of rs391300 in SRR and rs17584499 in PTPRD with susceptibility to type 2 diabetes in a Japanese population. J Diabetes Investig 2012; 4:168-73. [PMID: 24843648 PMCID: PMC4019271 DOI: 10.1111/jdi.12017] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Revised: 07/26/2012] [Accepted: 09/07/2012] [Indexed: 11/26/2022] Open
Abstract
Aims/Introduction Genetic risk variants for type 2 diabetes; rs391300‐G in SRR and rs17584499‐T in PTPRD, have been identified by a genome‐wide association study using Han Chinese individuals living in Taiwan. In an attempt to know the effects of these two variants in conferring susceptibility to type 2 diabetes in the Japanese, we carried out a replication study for the association of the two single nucleotide polymorphisms (SNPs) with type 2 diabetes in a Japanese population. Materials and Methods We genotyped 11,530 Japanese individuals (8,552 type 2 diabetes patients and 2,978 controls) for rs391300 and rs17584499, and analyzed the association of these two SNPs with type 2 diabetes by logistic regression analysis. Results Neither of the variants was associated with susceptibility to type 2 diabetes in the Japanese population (rs391300‐G: odds ratio [OR] = 0.97; 95% confidence interval [CI] 0.91–1.04; P = 0.44; rs17584499‐T: OR = 1.04; 95% CI 0.96–1.14; P = 0.34). Adjustment or stratified analysis for age, sex and body mass index (BMI) did not affect the association of these variants with the disease. We did not observe a significant association of the SNPs with any metabolic traits, BMI, fasting plasma glucose, homeostasis model assessment of β‐cell function (HOMA‐β) and HOMA of insulin resistance (HOMA‐IR) (P > 0.05). Conclusions Neither rs391300 nor rs17584499 had a significant effect on conferring susceptibility to type 2 diabetes in the Japanese population.
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Affiliation(s)
- Minako Imamura
- Laboratory for Endocrinology and Metabolism RIKEN Center for Genomic Medicine Yokohama Japan
| | - Minoru Iwata
- First Department of Internal Medicine Toyama Japan ; Community Medical Support Unit, Faculty of Medicine University of Toyama Toyama Japan
| | - Hiroshi Maegawa
- Department of Medicine Shiga University of Medical Science Otsu Shiga Japan
| | - Hirotaka Watada
- Department of Medicine, Metabolism and Endocrinology School of Medicine Tokyo Japan ; Sportology Center Graduate School of Medicine, Juntendo University Tokyo Japan
| | - Hiroshi Hirose
- Health Center Keio University School of Medicine Tokyo Japan
| | - Yasushi Tanaka
- Division of Metabolism and Endocrinology, Department of Internal Medicine St. Marianna University School of Medicine Kawasaki Kanagawa Japan
| | | | - Kohei Kaku
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine Kawasaki Medical School Kurashiki Okayama Japan
| | - Atsunori Kashiwagi
- Department of Medicine Shiga University of Medical Science Otsu Shiga Japan
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases Graduate School of Medicine, The University of Tokyo Tokyo Japan
| | - Ryuzo Kawamori
- Sportology Center Graduate School of Medicine, Juntendo University Tokyo Japan
| | - Shiro Maeda
- Laboratory for Endocrinology and Metabolism RIKEN Center for Genomic Medicine Yokohama Japan
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Fukuda H, Imamura M, Tanaka Y, Iwata M, Hirose H, Kaku K, Maegawa H, Watada H, Tobe K, Kashiwagi A, Kawamori R, Maeda S. A single nucleotide polymorphism within DUSP9 is associated with susceptibility to type 2 diabetes in a Japanese population. PLoS One 2012; 7:e46263. [PMID: 23029454 PMCID: PMC3459833 DOI: 10.1371/journal.pone.0046263] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2012] [Accepted: 08/31/2012] [Indexed: 11/30/2022] Open
Abstract
Aims The DUSP9 locus on chromosome X was identified as a susceptibility locus for type 2 diabetes in a meta-analysis of European genome-wide association studies (GWAS), and GWAS in South Asian populations identified 6 additional single nucleotide polymorphism (SNP) loci for type 2 diabetes. However, the association of these loci with type 2 diabetes have not been examined in the Japanese. We performed a replication study to investigate the association of these 7 susceptibility loci with type 2 diabetes in the Japanese population. Methods We genotyped 11,319 Japanese participants (8,318 with type 2 diabetes and 3,001 controls) for each of the 7 SNPs–rs5945326 near DUSP9, rs3923113 near GRB14, rs16861329 in ST6GAL1, rs1802295 in VPS26A, rs7178572 in HMG20A, rs2028299 near AP3S2, and rs4812829 in HNF4A–and examined the association of each of these 7 SNPs with type 2 diabetes by using logistic regression analysis. Results All SNPs had the same direction of effect (odds ratio [OR]>1.0) as in the original reports. One SNP, rs5945326 near DUSP9, was significantly associated with type 2 diabetes at a genome-wide significance level (p = 2.21×10−8; OR 1.39, 95% confidence interval [CI]: 1.24−1.56). The 6 SNPs derived from South Asian GWAS were not significantly associated with type 2 diabetes in the Japanese population by themselves (p≥0.007). However, a genetic risk score constructed from 6 South Asian GWAS derived SNPs was significantly associated with Japanese type 2 diabetes (p = 8.69×10−4, OR = 1.06. 95% CI; 1.03−1.10). Conclusions/interpretation These results indicate that the DUSP9 locus is a common susceptibility locus for type 2 diabetes across different ethnicities, and 6 loci identified in South Asian GWAS also have significant effect on susceptibility to Japanese type 2 diabetes.
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Affiliation(s)
- Hisashi Fukuda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama 230-0045, Japan
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Minako Imamura
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama 230-0045, Japan
| | - Yasushi Tanaka
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Minoru Iwata
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Hiroshi Hirose
- Health Center, Keio University School of Medicine, Tokyo, Japan
| | - Kohei Kaku
- Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Kawasaki Medical School, Kurashiki, Okayama, Japan
| | - Hiroshi Maegawa
- Department of Medicine, Shiga University of Medical Science, Otsu 520-2192, Japan
| | - Hirotaka Watada
- Department of Medicine, Metabolism and Endocrinology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan
- Sportology Center, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan
| | - Kazuyuki Tobe
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Atsunori Kashiwagi
- Department of Medicine, Shiga University of Medical Science, Otsu 520-2192, Japan
| | - Ryuzo Kawamori
- Sportology Center, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan
| | - Shiro Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama 230-0045, Japan
- * E-mail:
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