Analysis of Mitophagy-Related Genesand Association with Immune Cells Infiltration in Pediatric Septic Shock Using Bioinformatics and Machine Learning
Objective:The objective of this study was to investigate mitophagy related genes and their relationship-with immune cells in pediatric septic shock.Methods:The dataset GSE26440 was obtained from the GEO database to screen DEGs,and Mito-DEGs were obtained by intersecting with Mitophagy-related genes.Subsequently,GO and KEGG enrichment analysis were performed.LASSO and random forest algorithmswere performed to screen biomarkers,which were analyzed by ROC curve of subjects.GSEAwas used to explore signaling pathways associated with biomarkers.Final-ly,CIBERSORT was used to analyze immune cell infiltration.Results:In total,13 Mito-DEGswere identified.GOand KEGG enrichment analyses were predominantly enriched in regulation of nuclease activityand autophagy.MAPK14,GBA,HSPA1A,and TXN were screened by two algorithms.GSEA analysis showed that four characteristic genes were mainly involved in the B cell receptor signaling pathway,endocytosis,and neutrophil extracellular trap formation.CIBERSORT analysis found the dysregulation of 18 types of immune cell.Conclusion:MAPK14,GBA,HSPA1A,and TXN are potential mitophagy-related biomarkersin pediatric septic shock,and may affect the progression of septic shock by regulating mitophagy.
NETL
NSTL
万方数据
维普
