Rao Allam Appa, Tayaru N Manga, Thota Hanuman, Changalasetty Suresh Babu, Thota Lalitha Saroja, Gedela Srinubabu
International Center for Bioinformatics, Department of Computer Science and Systems Engineering, Andhra University, India;
Int J Biomed Sci. 2008 Mar;4(1):70-3.
The twin epidemic of diabetes and obesity pose daunting challenges worldwide. The dramatic rise in obesity-associated diabetes resulted in an alarming increase in the incidence and prevalence of obesity an important complication of diabetes. 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 by employing multiple sequence alignment using ClustalW tool and constructed a phylogram tree using functional protein sequences extracted from NCBI. Phylogram was constructed using Neighbor-Joining Algorithm a bioinformatic tool. Our bioinformatic analysis reports resistin gene as ominous link with obesity associated diabetes. This bioinformatic study will be useful for future studies towards therapeutic inventions of obesity associated type 2 diabetes.
糖尿病和肥胖这两大流行病在全球范围内构成了严峻挑战。与肥胖相关的糖尿病急剧增加，导致肥胖症（糖尿病的一种重要并发症）的发病率和患病率惊人地上升。个体对这两种疾病易感性的差异可能反映了他们的基因构成。基因组和生物信息资源的显著改善正在加快基因发现的步伐。人们不禁猜测那些连接糖尿病和肥胖症的关键易感基因/蛋白质。在这方面，我们通过使用ClustalW工具进行多序列比对，评估了几个被认为与肥胖相关糖尿病发展有关的基因/蛋白质的作用，并使用从NCBI提取的功能蛋白序列构建了系统发育树。系统发育树是使用生物信息工具邻接法构建的。我们的生物信息分析报告显示抵抗素基因是与肥胖相关糖尿病的不祥关联。这项生物信息学研究将有助于未来针对肥胖相关2型糖尿病治疗发明的研究。
