1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
In silico systems biology approach for analyzing of Genetic network and pathways in major depressive disorder
Paper ID : 1153-ICB10
Authors:
Seyed Mahdi Sadati *1, Negar Firouzabadi2, Mitra Farahmandnejad2, Pouria Mosaddeghi3, Amirhossein Sakhteman4
1Neuroscience PhD student Department of Neuroscience, School of Sciences and Advanced Technology in Medicine, Hamadan University of Medical Sciences
2Department of Pharmacology & Toxicology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
3Department of Medicinal Chemistry, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
4Department of Medicinal Chemistry, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
Abstract:
Major depressive disorder is a long-term relapsing condition associated with high levels of disability, mortality and reduce the quality of life. According to the World Health Organization, about 350 million people in the world are affected by this condition. An estimated 50% of depressed patients are inadequately treated by available interventions. Therefore, the purpose of this study was to systematically investigate and reconstruct the genetic network of major depressive disorder (MDD) for finding most important genes and biological pathways to assay with experimental condition in next studies and finally hypothesize new treatment.

In this study, through an extensive review of existing published studies and popular databases, all genes associated with MDD were found. Then, in order to integrate the results, all the interactions between these genes were explored and the achievement was represented as an interactive genetic network with GeneMANIA and other plugins. Furthermore, the reconstructed network was analyzed with Cytoscape. After finding most important genes, we found most important pathways with Gene Ontology(GO) and Reactome databases. Finally, we investigated diseases with the most number of shared genes with MDD by DisGeNET.

It was found that GRIN2A, APP, JUN, PPP3CA and EGFR are the most central nodes in the genetic network of MDD. Functional and pathway enrichment analysis showed that GPCR signaling, cytokine and immune system signaling are the main systems in patients with MDD. By studying genes shared between MDD and other diseases, it was cleared that MDD, Schizophrenia, Alzheimer’s disease and some types of cancer have the most number of shared genes.

The results of this study, in addition to reviewing the available results as a comprehensive and integrated manner, provide new hypotheses for future studies. It shows that we must use systems biology approach to manage and treat disorders. These outcomes must be done in experimental study.
Keywords:
Major depressive disorder, Systems biology, Cytoscape, Genetic network, pathway
Status : Paper Accepted (Poster Presentation)