OBJECTIVE: Idiopathic interstitial pneumonias (IIPs) are a group of diffuse parenchymal lung diseases of unknown etiology characterized by the presence of various degrees of inflammation and fibrosis. We aimed to screen the differences among IIPs subtypes in the gene level by using the microarray expression profiles of normal lung tissue and IIPs tissue for the key genes associated with early diagnosis and treatment of IIPs. METHODS: The gene expression profile of six kinds of IIPs (GSE 32537) subtypes tissue and normal lung tissues were downloaded. The differentially expressed genes (DEGs) in different IIPs subtypes were selected by using the expression profiling. In addition, the screened DEGs were further analyzed by function annotation, pathway analysis, and interaction network analysis to reveal the differences among these subtypes. RESULTS: The gene expression analysis showed that nine genes including SERPINA3, IL1R2, CBS, MGAM, SLCO4A1, S100A12, FPR1, SDR16C5, and MT1X in six subtypes of IIPs were significantly increased. There were significant differences in DEGs among six subtypes of IIPs, and the DEGs of some IIPs subtypes involved in immune, inflammatory response and cell adhesion processes. Moreover, the PPI network analysis indicated that SERPINA3 played an important role in the molecular mechanisms of IIPs. CONCLUSION: This comprehensive description of altered gene expression in different subtypes of IIPs underscores the complex biological processes characteristic of different subtypes of IIPs and may provide a foundation for future research into this devastating disease.
OBJECTIVE:Idiopathic interstitial pneumonias (IIPs) are a group of diffuse parenchymal lung diseases of unknown etiology characterized by the presence of various degrees of inflammation and fibrosis. We aimed to screen the differences among IIPs subtypes in the gene level by using the microarray expression profiles of normal lung tissue and IIPs tissue for the key genes associated with early diagnosis and treatment of IIPs. METHODS: The gene expression profile of six kinds of IIPs (GSE 32537) subtypes tissue and normal lung tissues were downloaded. The differentially expressed genes (DEGs) in different IIPs subtypes were selected by using the expression profiling. In addition, the screened DEGs were further analyzed by function annotation, pathway analysis, and interaction network analysis to reveal the differences among these subtypes. RESULTS: The gene expression analysis showed that nine genes including SERPINA3, IL1R2, CBS, MGAM, SLCO4A1, S100A12, FPR1, SDR16C5, and MT1X in six subtypes of IIPs were significantly increased. There were significant differences in DEGs among six subtypes of IIPs, and the DEGs of some IIPs subtypes involved in immune, inflammatory response and cell adhesion processes. Moreover, the PPI network analysis indicated that SERPINA3 played an important role in the molecular mechanisms of IIPs. CONCLUSION: This comprehensive description of altered gene expression in different subtypes of IIPs underscores the complex biological processes characteristic of different subtypes of IIPs and may provide a foundation for future research into this devastating disease.
Authors: Weiliang Huang; Jianshi Yu; Tian Liu; Amy E Defnet; Stephanie Zalesak-Kravec; Ann M Farese; Thomas J MacVittie; Maureen A Kane Journal: Health Phys Date: 2021-10-01 Impact factor: 2.922
Authors: Priyanka Thakur; Ryne DeBo; Gregory O Dugan; J Daniel Bourland; Kris T Michalson; John D Olson; Thomas C Register; Nancy D Kock; J Mark Cline Journal: Int J Radiat Oncol Biol Phys Date: 2021-04-20 Impact factor: 8.013
Authors: Stephanie Koller; Jonatan Kendler; Jasmine Karacs; Andrea Wolf; Caroline Kreuzinger; Isabel Von Der Decken; Felicitas Mungenast; Diana Mechtcheriakova; Wolfgang Schreiner; Andreas Gleiss; Walter Jäger; Dan Cacsire Castillo-Tong; Theresia Thalhammer Journal: Front Pharmacol Date: 2022-08-29 Impact factor: 5.988