基于生物信息和机器学习探究线粒体自噬基因在儿童感染性休克中的表达及免疫浸润分析  

Analysis of Mitophagy⁃Related Genesand Association with Immune Cells Infiltration in Pediatric Septic Shock Using Bioinformatics and Machine Learning

作　　者：金妮 欧阳颖[1] JIN Ni;OU Yang-ying(Department of Neonatology,Sun Yat-sen Memorial Hospital,Sun Yat-sen University,Guangzhou,510120)

机构地区：[1]中山大学孙逸仙纪念医院新生儿科,510120

出　　处：《岭南急诊医学杂志》2024年第2期107-111,共5页Lingnan Journal of Emergency Medicine

基　　金：广东省自然科学基金面上项目(2023A1515011904,2021A1515010323);喀什广建集团有限公司(7670020032)。

摘　　要：目的:通过生物信息学和机器学习探究线粒体自噬相关基因在儿童感染性休克中的表达及其与免疫细胞的联系。方法:从GEO数据库中下载儿童感染性休克的数据集GSE26440,通过“limma”包分析正常人和患儿之间的差异表达基因(DEGs)。通过韦恩图识别线粒体自噬相关基因与DEGs的交集基因(Mito⁃DEGs),并进行GO和KEGG富集分析。利用LASSO和随机森林算法来筛选生物标志物,并进行受试者工作特征(ROC)曲线分析。利用基因集富集分析(GSEA)来探索与生物标志物相关的信号通路。利用CIBERSORT进行免疫细胞浸润分析。结果:从正常人和患儿中总共鉴定出13个Mito⁃DEGs。GO和KEGG富集分析主要富集在核酸酶活性的调节和自噬。两种机器学习算法筛选出4个特征基因:MAPK14、GBA、HSPA1A、TXN。GSEA分析显示这些特征基因主要涉及B细胞受体信号通路、内吞作用和中性粒细胞胞外陷阱形成。正常人和患儿之间有18种免疫细胞存在显著差异。结论:MAPK14、GBA、HSPA1A、TXN被初步鉴定为儿童感染性休克的生物标志物,可能通过调节线粒体自噬影响儿童感染性休克的进展。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.

关 键 词：感染性休克 线粒体自噬 机器学习 免疫细胞浸润 

分 类 号：R720.597[医药卫生—急诊医学]