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首页> 外文期刊>American Journal of Bioinformatics >BIOINFORMATICS ANALYSIS OF SOME FUNCTIONAL GENES AND PROTEINS INVOLVED IN OBESITY-INDUCED TYPE 2 DIABETES | Science Publications
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BIOINFORMATICS ANALYSIS OF SOME FUNCTIONAL GENES AND PROTEINS INVOLVED IN OBESITY-INDUCED TYPE 2 DIABETES | Science Publications

机译:肥胖诱导的2型糖尿病中某些功能基因和蛋白质的生物信息学分析|科学出版物

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摘要

> The incidence of type-2 diabetes is rising rapidly worldwide, mainly because of the increase in the incidence of obesity, which is an important risk factor for this condition. Both obesity and type-2 diabetes are complex genetic traits but they also share some nongenetic risk factors. Differences among individuals in their susceptibility to both these conditions probably reflect their genetic constitutions. The dramatic improvements in genomic and bioinformatic resources are accelerating the pace of gene discovery. It is tempting to speculate the key susceptible genes/proteins that bridges diabetes mellitus and obesity. In this regard, we evaluated the role of several genes/proteins that are believed to be involved in the evolution of obesity associated diabetes through thorough literature search. Also we analyzed the data pertaining to genes of these proteins extracted from the databases that are available online for free access. The functional cDNA sequences of these genes/proteins are extracted from National Center for Biotechnology Information (NCBI) and Ensembl Genome Browser. Our bioinformatic analysis reports 21 genes as ominous link with obesity associated diabetes. Also this study indicated that, adipose tissue is now known to express and secrete a variety of metabolites, hormones and cytokines that have been implicated in the development of insulin resistance.This bioinformatic study will be useful for future studies towards therapeutic inventions of obesity associated type-2 diabetes.
机译: >世界范围内2型糖尿病的发病率正在迅速上升,这主要是由于肥胖的发生率上升,而肥胖是这种疾病的重要危险因素。肥胖和2型糖尿病都是复杂的遗传特征,但它们也具有一些非遗传危险因素。个体对这两种情况的敏感性差异可能反映了他们的遗传构成。基因组和生物信息资源的显着改善加快了基因发现的步伐。人们很容易推测连接糖尿病和肥胖症的关键易感基因/蛋白质。在这方面,我们通过全面的文献搜索,评估了与肥胖相关的糖尿病的进化有关的几种基因/蛋白质的作用。我们还分析了与从数据库中提取的这些蛋白质的基因有关的数据,这些数据库可在线免费获得。这些基因/蛋白质的功能性cDNA序列是从美国国家生物技术信息中心(NCBI)和Ensembl Genome Browser中提取的。我们的生物信息学分析报告了21个与肥胖相关的糖尿病相关的不祥基因。这项研究还表明,现在已知脂肪组织表达和分泌与胰岛素抵抗发展有关的各种代谢物,激素和细胞因子。这项生物信息学研究将有助于肥胖相关类型的治疗性发明的未来研究-2糖尿病。

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