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Identifying the Drug Targets in Metabolic Syndrome using Network Biology

Author(s):

Smriti Dwivedi , School of Life Sciences, SIILAS Campus, Jaipur National University, Jaipur-203017; Nancy Khosla, School of Life Sciences, SIILAS Campus, Jaipur National University, Jaipur-203017; Jaisri Jagannathan, School of Life Sciences, SIILAS Campus, Jaipur National University, Jaipur-203017

Keywords:

Metabolic Syndrome, Expression Atlas, Cytoscape, Reactome FI

Abstract

The metabolic syndrome is a multiplex risk factor that consists of several risk factors such as heart diseases, hypertension, diabetes mellitus, cardiovascular diseases and so on. The prevalence of metabolic syndrome increases with age and varies with gender and ethnicity. Here, in this study we worked on three conditions that are associated with metabolic syndrome which includes Diabetes mellitus, Cardiovascular & Hypertension disease. To understand the diseases and its regulation, the primary role is to screen the genes involved in a particular condition. The differentially expressed genes including up regulation and down regulation are screened and extracted from Expression atlas, Cytoscape and Reactome FI database. The regulation of these extracted genes in a disease condition is analyzed and the disease network is generated. These disease networks may pave the way in understanding the pathophysiology of the diseases, for identifying biomarkers and in hubs analysis which may act as a potential drug targets in drug development industry.

Other Details

Paper ID: NCILP014
Published in: Conference 1 : NCIL 2015
Publication Date: 16/10/2015
Page(s): 53-55

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