Computational identification of driver genes and pathways of chronic lung diseases

Chronic lung disease is characterized by impaired lung function. Given that many of these diseases are common in terms of clinical symptoms and pathogenesis, identifying shared pathogenesis of diseases can be helpful in designing preventive and therapeutic strategies. The aim of this study was to evaluate the proteins and pathways of four Chronic Obstructive Pulmonary Diseases (COPD), Asthma, Idiopathic Pulmonary Fibrosis (IPF) and Mustard Lung Disease (MLD). In this study, after collecting the data and determining the gene list of each of four diseases, gene expression changes were examined compared to healthy individuals. Also, protein-protein interaction (PPI) and pathway enrichment analysis were used to evaluate genes and shared pathways of cited diseases. The results showed that there were ۲۲ shared genes, which included ACTB, AHSG, ALB , APO A۱, APO C۳, FTH۱ , GAPDH , GC, GSTP۱, HP, HSPB۱, IGKC, KRT۱۰ , KRT۹, LCN۱ , PSMA۲, RBP۴ , S۱۰۰A۸ , S۱۰۰A۹ , TF and UBE۲N. The major biological pathways which these genes are involved is inflammatory ones. Also, some of these genes activate di↵erent pathways in each of mentioned diseases, that lead to induction or inhibition of inflammation. Finally, it was concluded that identification of genes and shared pathways of diseases can be effective in identifying pathogenesis pathways and designing preventive and therapeutic strategies.

کلیدواژه ها:

Systems Biology ، COPD ، IPF ، Asthma ، Protein–protein interaction network ، Mustard Lung Disease