Lung Tissue Exosome-Mediated Delivery of ceRNA Networks as a Novel Mechanism for Sepsis-induced Acute Lung Inflammation (miRNA-Seq)
Acute lung injury (ALI) is associated with a high mortality rate; however, the underlying molecular mechanisms are poorly understood. The purpose of this study was to investigate the expression profile and related networks of long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs in lung tissue exosomes obtained from sepsis-induced ALI. A mouse model of sepsis was established using the cecal ligation and puncture method. RNA sequencing was performed using lung tissue exosomes obtained from mice in the sham and CLP groups. Hematoxylin-eosin staining, western blotting, immunofluorescence, quantitative real-time polymerase chain reaction, and nanoparticle tracking analysis were performed to identify relevant phenotypes, and bioinformatic algorithms were used to evaluate competitive endogenous RNA (ceRNA) networks.Thirty lncRNA-miRNA-mRNA interactions were identified, including two upregulated lncRNAs, 30 upregulated miRNAs, and two downregulated miRNAs. Based on the expression levels of DEmRNAs, DELncRNAs, and DEmiRNAs, 30 ceRNA networks were constructed. This study revealed, for the first time, biomarkers of lung tissue exosome RNA and the related networks of lncRNA in sepsis-induced ALI. We revealed a novel molecular mechanism of sepsis-induced ALI, which may support the diagnosis and treatment of sepsis-induced ALI. Overall design: Lung exosomes were extracted from sham operation group and sepsis model mice group for RNA sequencing