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Elsayed AK, Alajez NM, Abdelalim EM. Genome-wide differential expression profiling of long non-coding RNAs in FOXA2 knockout iPSC-derived pancreatic cells. Cell Commun Signal 2023; 21:229. [PMID: 37670346 PMCID: PMC10478503 DOI: 10.1186/s12964-023-01212-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/01/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Our recent studies have demonstrated the crucial involvement of FOXA2 in the development of human pancreas. Reduction of FOXA2 expression during the differentiation of induced pluripotent stem cells (iPSCs) into pancreatic islets has been found to reduce α-and β-cell masses. However, the extent to which such changes are linked to alterations in the expression profile of long non-coding RNAs (lncRNAs) remains unraveled. METHODS Here, we employed our recently established FOXA2-deficient iPSCs (FOXA2-/- iPSCs) to investigate changes in lncRNA profiles and their correlation with dysregulated mRNAs during the pancreatic progenitor (PP) and pancreatic islet stages. Furthermore, we constructed co-expression networks linking significantly downregulated lncRNAs with differentially expressed pancreatic mRNAs. RESULTS Our results showed that 442 lncRNAs were downregulated, and 114 lncRNAs were upregulated in PPs lacking FOXA2 compared to controls. Similarly, 177 lncRNAs were downregulated, and 59 lncRNAs were upregulated in islet cells lacking FOXA2 compared to controls. At both stages, we observed a strong correlation between lncRNAs and several crucial pancreatic genes and TFs during pancreatic differentiation. Correlation analysis revealed 12 DE-lncRNAs that strongly correlated with key downregulated pancreatic genes in both PPs and islet cell stages. Selected DE-lncRNAs were validated using RT-qPCR. CONCLUSIONS Our data indicate that the observed defects in pancreatic islet development due to the FOXA2 loss is associated with significant alterations in the expression profile of lncRNAs. Therefore, our findings provide novel insights into the role of lncRNA and mRNA networks in regulating pancreatic islet development, which warrants further investigations. Video Abstract.
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Affiliation(s)
- Ahmed K Elsayed
- Diabetes Research Center (DRC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), PO Box 34110, Doha, Qatar
- Stem Cell Core, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), PO Box 34110, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Nehad M Alajez
- College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
- Translational Cancer and Immunity Center (TCIC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), PO Box 34110, Doha, Qatar
| | - Essam M Abdelalim
- Diabetes Research Center (DRC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), PO Box 34110, Doha, Qatar.
- College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
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Hu F, Zhang Y, Qin P, Zhao Y, Liu D, Zhou Q, Tian G, Li Q, Guo C, Wu X, Qie R, Huang S, Han M, Li Y, Zhang M, Hu D. Integrated analysis of probability of type 2 diabetes mellitus with polymorphisms and methylation of KCNQ1 gene: A nested case-control study. J Diabetes 2021; 13:975-986. [PMID: 34260825 DOI: 10.1111/1753-0407.13212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 06/17/2021] [Accepted: 07/07/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND To estimate the associations between single-nucleotide polymorphisms (SNPs) and methylation of KCNQ1 gene and type 2 diabetes mellitus (T2DM) risk and the interactions among SNPs, methylation, and environmental factors on T2DM risk. METHODS We genotyped five SNPs and tested methylation at 39 CpG loci of KCNQ1 in 290 T2DM cases and 290 matched controls nested in the Rural Chinese Cohort Study. Conditional logistic regression model was used to estimate the associations between SNPs and KCNQ1 methylation and T2DM risk. Multifactor dimensionality reduction (MDR) analysis was used to estimate the effect of the interactions SNPs-SNPs, SNPs-methylation, methylation-methylation and SNPs, and methylation-environment on T2DM risk. RESULTS Probability of T2DM was decreased with rs2283228 of KCNQ1 (CA vs AA, odds ratio [OR] = 0.65, 95% confidence interval [CI] 0.42-0.99). T2DM probability was significantly increased with rs2237895 combined with hypertriglyceridemia (OReg = 2.76, 95% CI 1.35-5.62), with hypertension (OReg = 2.23, 95% CI 1.25-3.98), and with body mass index (BMI; OReg = 1.93, 95% CI 1.12-3.34). T2DM probability was associated with methylation of CG11 and CG41 (OR = 1.89, 95% CI 1.23-2.89, P = .003). It was significantly associated with the interaction between BMI, hypertriglyceridemia, and CG5 methylation (P = .028 and .028), and the combined effects of CG11 with hypertriglyceridemia and hypertension. On MDR analysis, no significant interaction was observed. CONCLUSION T2DM probability was reduced 35% with rs2283228 polymorphism. It was associated with rs2237895 combined with hypertension, with BMI and with hypertriglyceridemia. The methylation at two CpG loci of KCNQ1 significantly increased T2DM risk by 89%.
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Affiliation(s)
- Fulan Hu
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Yanyan Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Pei Qin
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Qionggui Zhou
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Quanman Li
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chunmei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoyan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yang Li
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Ming Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Dongsheng Hu
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
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Han WJ, Deng JY, Jin H, Yin LP, Yang JX, Sun JJ. Association of KCNQ1rs2237892C⟶T Gene with Type 2 Diabetes Mellitus: A Meta-Analysis. J Diabetes Res 2021; 2021:6606830. [PMID: 34853793 PMCID: PMC8629679 DOI: 10.1155/2021/6606830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/21/2021] [Accepted: 10/25/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases in adults, causing high morbidity and mortality worldwide. In recent years, the prevalence of T2DM has been increasing significantly, and genome-wide association studies (GWAS) have shown that KCNQ1 significantly increases the risk of T2DM. OBJECTIVE To find large-scale evidence on whether the KCNQ1rs2237892C⟶T gene polymorphism is associated with T2DM susceptibility. METHODS A comprehensive review of the Chinese and English literature on the association of T2DM with KCNQ1rs2237892 is published by PubMed and Baidu Academic. The included literature was part or all of the studied loci which were evaluated for association with T2DM. Forest plots were made of the included literature to analyze the association of KCNQ1 with polymorphisms of the studied loci, and funnel plots and Egger's test were used to evaluate the publication bias of the selected included literature. RESULTS Ten case-control studies including a total of 7027 cases and 8208 controls met our inclusion criteria. Allele (C allele frequency distribution) (OR: 1.19; 95% CI: 0.87,1.62; P < 0.00001), recessive (OR: 0.73; 95% CI: 0.45,1.18; P < 0.00001) genetic model under the full population was observed between KCNQ1rs2237892C⟶T gene polymorphism and T2DM without a significant relationship. In a stratified analysis by race, a meaningful association was found in non-Asian populations under the allelic genetic model, but no association was found in Asian populations. CONCLUSION This meta-analysis showed no significant association between the rs2237892 polymorphism of the KCNQ1 gene and the risk of T2DM.
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Affiliation(s)
- Wen-Jia Han
- School of Dentistry, Anhui Medical University, Hefei, Anhui 230032, China
| | - Jian-Yi Deng
- Clinical Medical College, Anhui Medical University, Hefei, Anhui 230032, China
| | - Hua Jin
- Inner Mongolia University For Nationalities, Affiliated Hospital, Nationalities, 028000, China
| | - Li-Ping Yin
- Medical Examination Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Jin-Xia Yang
- Health Management College, Anhui Medical University, Hefei, Anhui 230032, China
| | - Jiang-Jie Sun
- Health Management College, Anhui Medical University, Hefei, Anhui 230032, China
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Dieter C, Lemos NE, Corrêa NRDF, Assmann TS, Crispim D. The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses. Front Endocrinol (Lausanne) 2021; 12:602597. [PMID: 33815273 PMCID: PMC8018579 DOI: 10.3389/fendo.2021.602597] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 02/15/2021] [Indexed: 12/17/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are non-coding transcripts that have emerged as one of the largest and diverse RNA families that regulate gene expression. Accumulating evidence has suggested a number of lncRNAs are involved in diabetes mellitus (DM) pathogenesis. However, results about lncRNA expressions in DM patients are still inconclusive. Thus, we performed a systematic review of the literature on the subject followed by bioinformatics analyses to better understand which lncRNAs are dysregulated in DM and in which pathways they act. Pubmed, Embase, and Gene Expression Omnibus (GEO) repositories were searched to identify studies that investigated lncRNA expression in cases with DM and non-diabetic controls. LncRNAs consistently dysregulated in DM patients were submitted to bioinformatics analysis to retrieve their target genes and identify potentially affected signaling pathways under their regulation. Fifty-three eligible articles were included in this review after the application of the inclusion and exclusion criteria. Six hundred and thirty-eight lncRNAs were differentially expressed between cases and controls in at least one study. Among them, six lncRNAs were consistently dysregulated in patients with DM (Anril, Hotair, Malat1, Miat, Kcnq1ot1, and Meg3) compared to controls. Moreover, these six lncRNAs participate in several metabolism-related pathways, evidencing their importance in DM. This systematic review suggests six lncRNAs are dysregulated in DM, constituting potential biomarkers of this disease.
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Affiliation(s)
- Cristine Dieter
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Post-Graduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | | | - Taís Silveira Assmann
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Post-Graduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Daisy Crispim
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Post-Graduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- *Correspondence: Daisy Crispim,
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Yu XX, Liao MQ, Zeng YF, Gao XP, Liu YH, Sun W, Zhu S, Zeng FF, Ye YB. Associations of KCNQ1 Polymorphisms with the Risk of Type 2 Diabetes Mellitus: An Updated Meta-Analysis with Trial Sequential Analysis. J Diabetes Res 2020; 2020:7145139. [PMID: 32695830 PMCID: PMC7362295 DOI: 10.1155/2020/7145139] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 04/10/2020] [Accepted: 04/28/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Previous studies have examined the role of the KQT-like subfamily Q member1 (KCNQ1) gene polymorphisms on the risk of type 2 diabetes mellitus (T2DM), but the findings are inconclusive. OBJECTIVE To examine the association between the KCNQ1 gene polymorphisms and the risk of T2DM using an updated meta-analysis with an almost tripled number of studies. METHODS Five electronic databases, such as PubMed and Embase, were searched thoroughly for relevant studies on the associations between seven most studied KCNQ1 gene polymorphisms, including rs2237892, rs2237897, rs2237895, rs2283228, rs231362, rs151290, and rs2074196, and T2DM risk up to September 14, 2019. The summary odds ratios (ORs) with their 95% confidence intervals (CIs) were applied to assess the strength of associations in the random-effects models. We used the trial sequential analysis (TSA) to measure the robustness of the evidence. RESULTS 49 publications including 55 case-control studies (68,378 cases and 66,673 controls) were finally enrolled. In overall analyses, generally, increased T2DM risk was detected for rs2237892, rs2237895, rs2283228, rs151290, and rs2074196, but not for rs231362 under all genetic models. The ORs and 95% CIs for allelic comparison were 1.23 (1.14-1.33) for rs2237892, 1.21 (1.16-1.27) for rs2237895, 1.27 (1.11-1.46) for rs2237897, 1.25 (1.09-1.42) for rs2283228, 1.14 (1.03-1.27) for rs151290, 1.31 (1.23-1.39) for rs2074196, and 1.16 (0.83, 1.61) for rs231362. Stratified analyses showed that associations for rs2237892, rs2237895, rs2283228, and rs151290 were more evident among Asians than Caucasians. TSA demonstrated that the evidence was sufficient for all polymorphisms in this study. The genotypes of the three SNPs (rs2237892, rs2283228, and rs231362) were significantly correlated with altered KCNQ1 gene expression. CONCLUSION This meta-analysis suggested that KCNQ1 gene polymorphisms (rs2237892, rs2283228, rs2237895, rs151290, and rs2074196) might be the susceptible factors for T2DM, especially among Asian population.
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Affiliation(s)
- Xiao-xuan Yu
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Min-qi Liao
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yu-fei Zeng
- Department of Obstetrics and Gynecology, Shangrao Fifth People's Hospital, Shangrao, Jiangxi 334000, China
| | - Xu-ping Gao
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yan-hua Liu
- The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052 Henan, China
| | - Wei Sun
- Customs Comprehensive Laboratory, Baiyun International Airport Customs, Hengyi Road, Guangzhou, 510080 Guangdong, China
| | - Sui Zhu
- Department of Medical Statistics, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Fang-fang Zeng
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yan-bin Ye
- Department of Nutrition, The First Affiliated Hospital of Sun Yat-sen University, 58# Zhongshan Road 2, Guangzhou, 510080 Guangdong, China
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Janicki PK, Eyileten C, Ruiz-Velasco V, Pordzik J, Czlonkowska A, Kurkowska-Jastrzebska I, Sugino S, Imamura Kawasawa Y, Mirowska-Guzel D, Postula M. Increased burden of rare deleterious variants of the KCNQ1 gene in patients with large‑vessel ischemic stroke. Mol Med Rep 2019; 19:3263-3272. [PMID: 30816480 DOI: 10.3892/mmr.2019.9987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 01/30/2019] [Indexed: 11/06/2022] Open
Abstract
The impact of rare and damaging variants in genes associated with platelet function in large‑vessel ischemic stroke (LVIS) remains unknown. The aim of this study was to investigate the contribution of some of these variants to the genetic susceptibility to LVIS in Polish patients using a deep re‑sequencing of 54 selected genes, coding for proteins associated with altered platelet function. Targeted pooled re‑sequencing (Illumina HiSeq 2500) was performed on genomic DNA of 500 cases (patients with history of clinically proven diagnosis of LVIS) and 500 age‑, smoking status‑, and sex‑matched controls (no history of any type of stroke), and from the same population as patients with LVIS. After quality control and prioritization based on allele frequency and damaging probability, individual genotyping of all deleterious rare variants was performed in patients from the original cohort, and stratified to concomitant cardiac conditions differing between the study and stroke groups. We demonstrated a statistically significant increase in the number of rare and potentially damaging variants in some of the investigated genes in the LVIS pool (an increase in the genomic variants burden). Furthermore, we identified an association between LVIS and 6 rare functional and damaging variants in the Kv7.1 potassium channel gene (KCNQ1). The predicted functional properties (partial loss‑of function) for the three most damaging variants in KCNQ1 coding locus were further confirmed in vitro by analyzing the membrane potential changes in cell lines co‑transfected heterogeneously with human muscarinic type 1 receptor and wild‑type or mutated KCNQ1 cDNA constructs using fluorescence imaging plate reader. The study demonstrated an increased rare variants burden for 54 genes associated with platelet function, and identified a putative role for rare damaging variants in the KCNQ1 gene on LVIS susceptibility in the Polish population.
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Affiliation(s)
- Piotr K Janicki
- Perioperative Genomics Laboratory, Penn State College of Medicine, Hershey, PA 17033, USA
| | - Ceren Eyileten
- Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Center for Preclinical Research and Technology CEPT, Warsaw 02‑097, Poland
| | - Victor Ruiz-Velasco
- Department of Anesthesiology and Perioperative Medicine, Penn State College of Medicine, Hershey, PA 17033, USA
| | - Justyna Pordzik
- Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Center for Preclinical Research and Technology CEPT, Warsaw 02‑097, Poland
| | - Anna Czlonkowska
- Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Center for Preclinical Research and Technology CEPT, Warsaw 02‑097, Poland
| | | | - Shigekazu Sugino
- Perioperative Genomics Laboratory, Penn State College of Medicine, Hershey, PA 17033, USA
| | | | - Dagmara Mirowska-Guzel
- Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Center for Preclinical Research and Technology CEPT, Warsaw 02‑097, Poland
| | - Marek Postula
- Perioperative Genomics Laboratory, Penn State College of Medicine, Hershey, PA 17033, USA
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Khan IA, Jahan P, Hasan Q, Rao P. Genetic confirmation of T2DM meta-analysis variants studied in gestational diabetes mellitus in an Indian population. Diabetes Metab Syndr 2019; 13:688-694. [PMID: 30641791 DOI: 10.1016/j.dsx.2018.11.035] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 11/11/2018] [Indexed: 01/25/2023]
Abstract
BACKGROUND Meta-analysis is useful for combining the results of different studies statistically to confirm genuine associations in genetics. Based on earlier reports, we aimed to investigate the association between type 2 diabetes mellitus (T2DM) genetic variants identified in a previous meta-analysis in gestational diabetes mellitus (GDM) in an Indian woman. MATERIAL AND METHODS In this study, 137 pregnant women with GDM and 150 pregnant women were selected on the basis of their serum glucose levels. The six single nucleotide polymorphisms (SNPs) of different genes studied had known involvement in pancreatic β-cell function, particular pathways linked to T2DM, and other biological functions. Genomic DNA was isolated from the 287 women for polymerase chain reaction and restriction fragment length polymorphism analyses. RESULTS The rs7903146, rs13266634, rs2283228, rs5210 and rs179881 SNPs were found to be positively associated with GDM when calculated for genotype and allele frequencies (p < 0.05), but rs680 (ApaI) variant did not show statistically significant association (p = 0.31). The rs7903146, rs2283228, rs5210 and rs680 variants showed a strong association with oral glucose tolerance test values. CONCLUSION The SNPs studied in this GDM had the same role as those identified in a previous T2DM meta-analysis, and showed positive association in the Indian women. Meta-analyses should be implemented to assess the IGF2 gene in GDM subjects.
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Affiliation(s)
- Imran Ali Khan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, LB Nagar, Hyderabad, India; Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India; Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Parveen Jahan
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Qurratulain Hasan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, LB Nagar, Hyderabad, India; Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
| | - Pragna Rao
- Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India.
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Tsvetkov D, Kaßmann M, Tano JY, Chen L, Schleifenbaum J, Voelkl J, Lang F, Huang Y, Gollasch M. Do K V 7.1 channels contribute to control of arterial vascular tone? Br J Pharmacol 2016; 174:150-162. [PMID: 28000293 DOI: 10.1111/bph.13665] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 10/11/2016] [Accepted: 10/28/2016] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND AND PURPOSE KV 7.1 voltage-gated potassium channels are expressed in vascular smooth muscle cells (VSMC) of diverse arteries, including mesenteric arteries. Based on pharmacological evidence using R-L3 (KV 7.1 channel opener), HMR1556, chromanol 293B (KV 7.1 channel blockers), stimulation of these channels has been suggested to evoke profound relaxation in various vascular beds of rats. However, the specificity of these drugs in vivo is uncertain. EXPERIMENTAL APPROACH We used Kcnq1-/- mice and pharmacological tools to determine whether KV 7.1 channels play a role in the regulation of arterial tone. KEY RESULTS R-L3 produced similar concentration-dependent relaxations (EC50 ~ 1.4 μM) of arteries from wild-type (Kcnq1+/+ ) and Kcnq1-/- mice, pre-contracted with either phenylephrine or 60 mM KCl. This relaxation was not affected by 10 μM chromanol 293B, 10 μM HMR1556 or 30 μM XE991 (pan-KV 7 channel blocker). The anti-contractile effects of the perivascular adipose tissue (PVAT) were normal in Kcnq1-/- arteries. Chromanol 293B and HMR1556 did not affect the anti-contractile effects of (PVAT). Isolated VSMCs from Kcnq1-/- mice exhibited normal peak KV currents. The KV 7.2-5 channel opener retigabine caused similar relaxations in Kcnq1-/- and wild-type vessels. CONCLUSION AND IMPLICATIONS We conclude that KV 7.1 channels were apparently not involved in the control of arterial tone by α1 -adrenoceptor agonists and PVAT. In addition, R-L3 is an inappropriate pharmacological tool for studying the function of native vascular KV 7.1 channels in mice.
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Affiliation(s)
- Dmitry Tsvetkov
- Experimental and Clinical Research Center (ECRC), A Joint Cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Department of Pharmacology and Experimental Therapy, Institute of Experimental and Clinical Pharmacology and Toxicology, Eberhard Karls University Hospitals and Clinics and Interfaculty Center of Pharmacogenomics and Drug Research, University of Tübingen, Tübingen, Germany
| | - Mario Kaßmann
- Experimental and Clinical Research Center (ECRC), A Joint Cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Jean-Yves Tano
- Experimental and Clinical Research Center (ECRC), A Joint Cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Lan Chen
- Experimental and Clinical Research Center (ECRC), A Joint Cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Xiamen Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Johanna Schleifenbaum
- Experimental and Clinical Research Center (ECRC), A Joint Cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Jakob Voelkl
- Department of Cardiology, Vascular Medicine and Physiology, University of Tübingen, Tübingen, Germany
| | - Florian Lang
- Department of Cardiology, Vascular Medicine and Physiology, University of Tübingen, Tübingen, Germany
| | - Yu Huang
- School of Biomedical Sciences, 223A, Lo Kwee-Seong Integrated Biomedical Sciences Building, Area 39, Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Maik Gollasch
- Experimental and Clinical Research Center (ECRC), A Joint Cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Medical Clinic for Nephrology and Internal Intensive Care, Campus Virchow, Charité University Medicine, Berlin, Germany
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9
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Genetic markers predicting sulphonylurea treatment outcomes in type 2 diabetes patients: current evidence and challenges for clinical implementation. THE PHARMACOGENOMICS JOURNAL 2016; 16:209-19. [DOI: 10.1038/tpj.2015.95] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Revised: 10/25/2015] [Accepted: 11/13/2015] [Indexed: 12/17/2022]
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10
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Khan IA, Vattam KK, Jahan P, Mukkavali KK, Hasan Q, Rao P. Correlation between KCNQ1 and KCNJ11 gene polymorphisms and type 2 and post-transplant diabetes mellitus in the Asian Indian population. Genes Dis 2015; 2:276-282. [PMID: 30258870 PMCID: PMC6150093 DOI: 10.1016/j.gendis.2015.02.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 02/24/2015] [Indexed: 12/18/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) and post-transplant diabetes mellitus (PTDM) share a common pathophysiology. However, diabetes mellitus is a complex disease, and T2DM and PTDM have different etiologies. T2DM is a metabolic disorder, characterized by persistent hyperglycemia, whereas PTDM is a condition of abnormal glucose tolerance, with variable onset after organ transplant. The KCNQ1 and KCNJ11 gene encode potassium channels, which mediate insulin secretion from pancreatic β-cells, and KCN gene mutations are correlated with the development of diabetes. However, no studies have been carried out to establish an association between KCNQ1 and KCNJ11 gene polymorphisms and T2DM and PTDM. Therefore, our study was aimed at the identification of the role of KCNQ1 and KCNJ11 gene polymorphisms associated with T2DM and the risk of developing PTDM in the Asian Indian population. We have carried out a case-control study including 250 patients with T2DM, 250 control subjects, 42 patients with PTDM and 98 subjects with non-PTDM. PCR-RFLP analysis was carried out following the isolation of genomic DNA from EDTA-blood samples. The results of the present study reveal that two single nucleotide polymorphisms (rs2283228 and rs5210, of the KCNQ1 and KCNJ11 genes, respectively) are associated with both T2DM and PTDM. The results of our study suggest a role of KCNQ1 and KCNJ11 gene variants in the increased risk of T2DM and PTDM in the Asian Indian population.
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Affiliation(s)
- Imran Ali Khan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
- Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Kiran Kumar Vattam
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
| | - Parveen Jahan
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | | | - Qurratulain Hasan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
- Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
| | - Pragna Rao
- Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India
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Hanson RL, Rong R, Kobes S, Muller YL, Weil EJ, Curtis JM, Nelson RG, Baier LJ. Role of Established Type 2 Diabetes-Susceptibility Genetic Variants in a High Prevalence American Indian Population. Diabetes 2015; 64:2646-57. [PMID: 25667308 PMCID: PMC4477349 DOI: 10.2337/db14-1715] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 02/03/2015] [Indexed: 01/08/2023]
Abstract
Several single nucleotide polymorphisms (SNPs) associated with type 2 diabetes mellitus (T2DM) have been identified, but there is little information on their role in populations at high risk for T2DM. We genotyped SNPs at 63 T2DM loci in 3,421 individuals from a high-risk American Indian population. Nominally significant (P < 0.05) associations were observed at nine SNPs in a direction consistent with the established association. A genetic risk score derived from all loci was strongly associated with T2DM (odds ratio 1.05 per risk allele, P = 6.2 × 10(-6)) and, in 292 nondiabetic individuals, with lower insulin secretion (by 4% per copy, P = 4.1 × 10(-6)). Genetic distances between American Indians and HapMap populations at T2DM markers did not differ significantly from genomic expectations. Analysis of U.S. national survey data suggested that 66% of the difference in T2DM prevalence between African Americans and European Americans, but none of the difference between American Indians and European Americans, was attributable to allele frequency differences at these loci. These analyses suggest that, in general, established T2DM loci influence T2DM in American Indians and that risk is mediated in part through an effect on insulin secretion. However, differences in allele frequencies do not account for the high population prevalence of T2DM.
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Affiliation(s)
- Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Rong Rong
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Sayuko Kobes
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Yunhua Li Muller
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - E Jennifer Weil
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Jeffrey M Curtis
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Robert G Nelson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
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12
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Li YY, Wang XM, Lu XZ. KCNQ1 rs2237892 C→T gene polymorphism and type 2 diabetes mellitus in the Asian population: a meta-analysis of 15,736 patients. J Cell Mol Med 2013; 18:274-82. [PMID: 24373634 PMCID: PMC3930414 DOI: 10.1111/jcmm.12185] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Accepted: 10/08/2013] [Indexed: 01/01/2023] Open
Abstract
The KCNQ1 rs2237892 C→T gene polymorphism is reportedly associated with T2DM susceptibility, but various studies show conflicting results. To explore this association in the Asian population, a meta-analysis of 15,736 patients from 10 individual studies was performed. The pooled odds ratios (ORs) and their 95% confidence intervals (CIs) were evaluated using random-effect or fixed-effect models. A significant relationship between the KCNQ1 rs2237892 C→T gene polymorphism and T2DM was observed in the Asian population under the allelic (OR, 1.350; 95% CI, 1.240-1.480; P < 0.00001), recessive (OR: 0.650; 95% CI: 0.570-0.730; P < 0.00001), dominant (OR: 1.450; 95% CI: 1.286-1.634; P < 0.00001), and additive (OR: 1.346; 95% CI: 1.275-1.422; P < 0.00001) genetic models. In the subgroup analysis by race, a significant association was found in Chinese, Korean and Malaysia population, but not in Indian population. KCNQ1 rs2237892 C→T gene polymorphism was found to be significantly associated with increased T2DM risk in the Asian population, except Indian population. The C allele of the KCNQ1 rs2237892 C→T gene polymorphism may confer susceptibility to T2DM.
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Affiliation(s)
- Yan-yan Li
- Department of Geriatrics, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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