TMT-based proteomic analysis of radiation lung injury in rats.

Abstract

Radiation-induced lung injury (RILI) is a common adverse effect of radiation therapy that negatively affects treatment progression and the quality of life of patients. Identifying biomarkers for RILI can provide reference for the prevention and treatment of RILI in clinical practice. In this study, to explore key proteins related to RILI, we constructed a rat model of RILI and analyzed RILI tissues and normal lung tissues using tandem mass spectrometry labeling and quantitative proteomics technology. We used Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, Gene Ontology (GO) enrichment and protein-protein interaction (PPI) networks for bioinformatics analysis of Differentially expressed proteins (DEPs). The results identified 185 differentially expressed proteins in lung tissue from the RILI group compared with the controls, including 110 up-regulated proteins and 75 down-regulated proteins. GO analysis showed that the differentially expressed proteins were involved oxidation-reduction process, cellular biosynthetic processes and extracellular matrix. KEGG results demonstrated that the differentially expressed proteins were mainly involved in the PI3K-Akt, ECM receptor interactions, arachidonic acid metabolism, glutathione metabolism and other pathways. These results on the functions and signaling pathways of the differentially expressed proteins provide a theoretical basis for further study of the mechanism of RILI.