Abstract
Idiopathic pulmonary fibrosis (IPF) characterized by a poor prognosis is a chronic and fatal interstitial lung disease. Oxidative stress has great impacts on the initiation and development of IPF. The aim of the present study was to determine oxidative stress-related hub genes for the diagnosis and intervention of IPF. The gene expression profile of IPF (GSE10667, GSE32537, GSE110147, and GSE213001 datasets) were collected from the GEO database. The differentially expressed oxidative stress-related genes (DEOSRGs) were screened on the basis of the common DEGs, oxidative stress related genes from GeneCard database and module genes from WGCNA. Four hub DEOSRGs (ENC1, EPHA3, FMO1, and GPX8) were further identified using the LASSO analysis and SVM-RFE algorithms, and validated by external datasets (GSE24206 and GSE53845). The ROC analysis revealed that the four hub DEOSRGs had diagnostic values with excellent specificity and sensitivity. The CIBERSORT analysis revealed that T cells CD4 memory activated, T cells regulatory (Tregs) and Dendritic cells resting might be related to the progress of IPF. In conclusion, the present study shows that ENC1, EPHA3, FMO1, and GPX8 may be considered as novel diagnostic biomarkers and therapeutic targets for IPF.