AUTHOR=Zhao Hui , Wang Lan , Yan Yi , Zhao Qin-Hua , He Jing , Jiang Rong , Luo Ci-Jun , Qiu Hong-Ling , Miao Yu-Qing , Gong Su-Gang , Yuan Ping , Wu Wen-Hui TITLE=Identification of the shared gene signatures between pulmonary fibrosis and pulmonary hypertension using bioinformatics analysis JOURNAL=Frontiers in Immunology VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1197752 DOI=10.3389/fimmu.2023.1197752 ISSN=1664-3224 ABSTRACT=
Pulmonary fibrosis (PF) and pulmonary hypertension (PH) have common pathophysiological features, such as the significant remodeling of pulmonary parenchyma and vascular wall. There is no effective specific drug in clinical treatment for these two diseases, resulting in a worse prognosis and higher mortality. This study aimed to screen the common key genes and immune characteristics of PF and PH by means of bioinformatics to find new common therapeutic targets. Expression profiles are downloaded from the Gene Expression Database. Weighted gene co-expression network analysis is used to identify the co-expression modules related to PF and PH. We used the ClueGO software to enrich and analyze the common genes in PF and PH and obtained the protein–protein interaction (PPI) network. Then, the differential genes were screened out in another cohort of PF and PH, and the shared genes were crossed. Finally, RT-PCR verification and immune infiltration analysis were performed on the intersection genes. In the result, the positive correlation module with the highest correlation between PF and PH was determined, and it was found that lymphocyte activation is a common feature of the pathophysiology of PF and PH. Eight common characteristic genes (