Analysis of protein-protein interactions network based on differentially expressed genes in cerebrospinal fluid for multiple sclerosis

Multiple sclerosis (MS) is the most common central nervous system (CNS) demyelinating disease. New methods are substantive in order to have a better understanding its pathogenesis and also identifying new therapeutic targets for the disease. The aim of this study was to use network biology approach to identify potential key markers involved in MS pathogenesis.
In this study, gene expression profile of cerebrospinal fluid (CSF) samples from 26 newly diagnosed MS patients and 18 controls, which obtained from Array Express Database, were analyzed. Differentially expressed genes (DEG) were integrated with protein-protein interaction (PPI) data to construct PPI sub network. The sub network underwent further topological analysis by Cytoscape software.
Gene expression profile analysis unraveled 3062 differential expressed genes (FDR Therefore, network-based analysis could identify new markers which can be further explored as potential therapeutic targets for MS