Abstract
Purpose:To identify the potential target genes of blast lung injury(BLI)for the diagnosis and treatment.Methods:This is an experimental study.The BLI models in rats and goats were established by conducting a fuel-air explosive power test in an unobstructed environment,which was subsequently validated through hematoxylin-eosin staining.Transcriptome sequencing was performed on lung tissues from both goats and rats.Differentially expressed genes were identified using the criteria of q＜0.05 and |log2 fold change| ≥ 1.Following that,enrichment analyses were conducted for gene ontology and the Kyoto Encyclopedia of Genes and Genomes pathways.The potential target genes were further confirmed through quantitative real-time polymerase chain reaction and enzyme linked immunosorbent assay.Results:Observations through microscopy unveiled the presence of reddish edema fluid,erythrocytes,and instances of focal or patchy bleeding within the alveolar cavity.Transcriptome sequencing analysis identified a total of 83 differentially expressed genes in both rats and goats.Notably,49 genes exhibited a consistent expression pattern,with 38 genes displaying up-regulation and 11 genes demonstrating down-regulation.Enrichment analysis highlighted the potential involvement of the interleukin-17 signaling pathway and vascular smooth muscle contraction pathway in the underlying mechanism of BLI.Furthermore,the experimental findings in both goats and rats demonstrated a strong association between BLI and several key genes,including anterior gradient 2,ankyrin repeat domain 65,bactericidal/permeability-increasing fold containing family A member 1,bactericidal/permeability-increasing fold containing family B member 1,and keratin 4,which exhibited up-regulation.Conclusions:Anterior gradient 2,ankyrin repeat domain 65,bactericidal/permeability-increasing fold containing family A member 1,bactericidal/permeability-increasing fold containing family B member 1,and keratin 4 hold potential as target genes for the prognosis,diagnosis,and treatment of BLI.
基金项目
Natural Science Basis Research Plan in Shaanxi Province of China(2023-JC-YB-684)
NETL
NSTL
万方数据