酶芯片阵列同时检测2型糖尿病相关基因多基因多态性的新技术

Hui-Jen Chang , Ming-Sung Chang , Ming-Chia Hsieh , Li-Chen Yen , Hua-Hsien Chiu , Yi-Fang Chen , Shiu-Ru Lin , Tian-Lu Cheng
{"title":"酶芯片阵列同时检测2型糖尿病相关基因多基因多态性的新技术","authors":"Hui-Jen Chang ,&nbsp;Ming-Sung Chang ,&nbsp;Ming-Chia Hsieh ,&nbsp;Li-Chen Yen ,&nbsp;Hua-Hsien Chiu ,&nbsp;Yi-Fang Chen ,&nbsp;Shiu-Ru Lin ,&nbsp;Tian-Lu Cheng","doi":"10.1016/S1877-8607(09)60008-4","DOIUrl":null,"url":null,"abstract":"<div><p>Type 2 diabetes mellitus (T2DM) is a polygenetic disease. Its incidence is increasing continuously in Taiwan as the standard of living improves. Current diabetes research is striving to identify those high at risk of T2DM through T2DM- associated gene studies. A number of techniques are available for the molecular detection of T2DM-associated genes, including polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), direct sequencing, and TaqMan genotyping. However, they are capable of analyzing only one molecular target in each experiment. In the present study, we selected eight candidate genes that are potentially associated with T2DM [angiotensinogen (AGT), sulfonylurea receptor-1 (SUR-1), peroxisome proliferators-activated receptor-γ (PPAR-γ), PPAR-γ coactivator-1 (PGC-1), calpain-10 (CAPN10), β2-adrenergic receptor (ADRB2), mannose-binding lectin (MBL2), and insulin receptor substrate-1 (IRS-1)]. We used enzymatic chip array technology, which we had previously established, and analyzed its relevance to diabetes research. We enrolled 1280 Taiwanese patients (700 with T2DM and 580 non-diabetic controls). The genes of all subjects were analyzed by the enzymatic chip array. The results were consistent with direct sequencing. On the basis of multivariate logistic-regression analysis—with adjustment for age—the following variables were associated with a significant risk of T2DM: body mass index, serum cholesterol, triglyceride level, low- and high-density lipoprotein cholesterol levels, and polymorphisms, including PGC-1 Gly482Ser, SUR1 Arg1273Arg, ADRB2 Arg16Gly, CAPN10 SNP43, AGT Met235Thr, and MLB2 Gly54Asp. The enzymatic chip array is a useful tool for multiple gene analysis in diabetes.</p></div>","PeriodicalId":100548,"journal":{"name":"Fooyin Journal of Health Sciences","volume":"1 1","pages":"Pages 48-56"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1877-8607(09)60008-4","citationCount":"0","resultStr":"{\"title\":\"A New Technique—Simultaneously Detecting Multiple Genetic Polymorphisms of Type 2 Diabetes- associated Genes by the Enzymatic Chip Array\",\"authors\":\"Hui-Jen Chang ,&nbsp;Ming-Sung Chang ,&nbsp;Ming-Chia Hsieh ,&nbsp;Li-Chen Yen ,&nbsp;Hua-Hsien Chiu ,&nbsp;Yi-Fang Chen ,&nbsp;Shiu-Ru Lin ,&nbsp;Tian-Lu Cheng\",\"doi\":\"10.1016/S1877-8607(09)60008-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Type 2 diabetes mellitus (T2DM) is a polygenetic disease. Its incidence is increasing continuously in Taiwan as the standard of living improves. Current diabetes research is striving to identify those high at risk of T2DM through T2DM- associated gene studies. A number of techniques are available for the molecular detection of T2DM-associated genes, including polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), direct sequencing, and TaqMan genotyping. However, they are capable of analyzing only one molecular target in each experiment. In the present study, we selected eight candidate genes that are potentially associated with T2DM [angiotensinogen (AGT), sulfonylurea receptor-1 (SUR-1), peroxisome proliferators-activated receptor-γ (PPAR-γ), PPAR-γ coactivator-1 (PGC-1), calpain-10 (CAPN10), β2-adrenergic receptor (ADRB2), mannose-binding lectin (MBL2), and insulin receptor substrate-1 (IRS-1)]. We used enzymatic chip array technology, which we had previously established, and analyzed its relevance to diabetes research. We enrolled 1280 Taiwanese patients (700 with T2DM and 580 non-diabetic controls). The genes of all subjects were analyzed by the enzymatic chip array. The results were consistent with direct sequencing. On the basis of multivariate logistic-regression analysis—with adjustment for age—the following variables were associated with a significant risk of T2DM: body mass index, serum cholesterol, triglyceride level, low- and high-density lipoprotein cholesterol levels, and polymorphisms, including PGC-1 Gly482Ser, SUR1 Arg1273Arg, ADRB2 Arg16Gly, CAPN10 SNP43, AGT Met235Thr, and MLB2 Gly54Asp. The enzymatic chip array is a useful tool for multiple gene analysis in diabetes.</p></div>\",\"PeriodicalId\":100548,\"journal\":{\"name\":\"Fooyin Journal of Health Sciences\",\"volume\":\"1 1\",\"pages\":\"Pages 48-56\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S1877-8607(09)60008-4\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fooyin Journal of Health Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1877860709600084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fooyin Journal of Health Sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877860709600084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

2型糖尿病(T2DM)是一种多遗传疾病。随着生活水平的提高,台湾的发病率也在不断上升。目前的糖尿病研究正努力通过T2DM相关基因研究来确定T2DM的高危人群。许多技术可用于t2dm相关基因的分子检测,包括聚合酶链反应-限制性片段长度多态性(PCR-RFLP),直接测序和TaqMan基因分型。然而,他们在每次实验中只能分析一个分子靶标。在本研究中,我们选择了8个可能与T2DM相关的候选基因[血管紧张素原(AGT)、磺酰脲受体-1 (su -1)、过氧化物酶体增殖物激活受体-γ (PPAR-γ)、PPAR-γ共激活因子-1 (PGC-1)、calpain-10 (CAPN10)、β2-肾上腺素能受体(ADRB2)、甘露糖结合凝集素(MBL2)和胰岛素受体底物-1 (IRS-1)]。我们使用了我们之前建立的酶芯片阵列技术,并分析了其与糖尿病研究的相关性。我们招募了1280名台湾患者(700名T2DM患者和580名非糖尿病对照组)。采用酶芯片阵列对所有受试者进行基因分析。结果与直接测序一致。在多变量logistic回归分析的基础上,调整年龄,以下变量与T2DM的显著风险相关:体重指数、血清胆固醇、甘油三酯水平、低脂蛋白和高密度脂蛋白胆固醇水平,以及多态性,包括PGC-1 Gly482Ser、SUR1 Arg1273Arg、ADRB2 Arg16Gly、CAPN10 SNP43、AGT Met235Thr和MLB2 Gly54Asp。酶芯片阵列是糖尿病多基因分析的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Technique—Simultaneously Detecting Multiple Genetic Polymorphisms of Type 2 Diabetes- associated Genes by the Enzymatic Chip Array

Type 2 diabetes mellitus (T2DM) is a polygenetic disease. Its incidence is increasing continuously in Taiwan as the standard of living improves. Current diabetes research is striving to identify those high at risk of T2DM through T2DM- associated gene studies. A number of techniques are available for the molecular detection of T2DM-associated genes, including polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), direct sequencing, and TaqMan genotyping. However, they are capable of analyzing only one molecular target in each experiment. In the present study, we selected eight candidate genes that are potentially associated with T2DM [angiotensinogen (AGT), sulfonylurea receptor-1 (SUR-1), peroxisome proliferators-activated receptor-γ (PPAR-γ), PPAR-γ coactivator-1 (PGC-1), calpain-10 (CAPN10), β2-adrenergic receptor (ADRB2), mannose-binding lectin (MBL2), and insulin receptor substrate-1 (IRS-1)]. We used enzymatic chip array technology, which we had previously established, and analyzed its relevance to diabetes research. We enrolled 1280 Taiwanese patients (700 with T2DM and 580 non-diabetic controls). The genes of all subjects were analyzed by the enzymatic chip array. The results were consistent with direct sequencing. On the basis of multivariate logistic-regression analysis—with adjustment for age—the following variables were associated with a significant risk of T2DM: body mass index, serum cholesterol, triglyceride level, low- and high-density lipoprotein cholesterol levels, and polymorphisms, including PGC-1 Gly482Ser, SUR1 Arg1273Arg, ADRB2 Arg16Gly, CAPN10 SNP43, AGT Met235Thr, and MLB2 Gly54Asp. The enzymatic chip array is a useful tool for multiple gene analysis in diabetes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信