Protein-protein interaction network analysis of major depression disorder via proteomic approach from cerebrospinal fluid sample

Abstract

Introduction: As the major depression disorder (MDD) is one of the prevalent psychiatric conditions, molecular characteristic is important to gain a better understanding of its complex nature. In this study, the protein-protein interaction network analysis is carried out in order to have a better understanding the molecular mechanism of MDD. Materials and Methods: The MDD differentially expressed proteins of cerebral fluid were extracted from the literature. Cytoscape Software was used for the network construction of 39 retrieved proteins. In addition, Cytoscape plug-ins, MCODE and ClueGO+CluePedia identified the protein complexes and biological processes, respectively. Results: The MDD map centrality analysis identified 15 hub proteins. This network comprises of four protein complexes and seven significant biological processes. Conclusion: In this study, some of the central proteins, protein complexes, and biological processes related to MDD are introduced. The further investigations can help validating possible drug targets and diagnostic biomarkers