Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes.

Polish journal of microbiology Pub Date : 2023-09-20 eCollection Date: 2023-09-01 DOI:10.33073/pjm-2023-022
Yunfeng Sheng, Haibo Hua, Yan Yong, Lihong Zhou
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Abstract

Tuberculosis (TB) caused by Mycobacterium tuberculosis is one of the leading causes of morbidity and death in humans worldwide. Some autophagy genes associated with TB and some miRNAs regulating TB have been found, but the identification of autophagy-related genes in M. tuberculosis remains to be explored. Forty-seven autophagy-related genes differentially expressed in TB were identified in this study by analysis of TB-related datasets in the Gene Expression Omnibus (GEO) and autophagy-related genes in the Human Autophagy Database. The potential crucial genes affecting TB were found through the protein-protein interaction (PPI) network, and the possible pathways affected by these genes were verified. Analysis of the PPI network of miRNAs associated with M. tuberculosis infection and their target genes revealed that hsa-let-7, hsa-mir-155, hsa-mir-206, hsa-mir-26a, hsa-mir-30a, and hsa-mir-32 may regulate the expression of multiple autophagy-related genes (MAPK8, UVRAG, UKL2, and GABARAPL1) alone or in combination. Subsequently, Cytoscape was utilized to screen the differentially expressed genes related to autophagy. The hub genes (GABARAPL1 and ULK2) affecting TB were identified. Combined with Gene Set Enrichment Analysis (GSEA), the signaling pathways affected by the hub genes were verified. Finally, we divided TB patients into two subgroups based on autophagy-related genes, and the immune microenvironment of patients in different subgroups was significantly different. Our study found two autophagy-related hub genes that could affect TB and divide TB samples into two subgroups. This finding is of great significance for TB treatment and provides new ideas for exploring the pathogenesis of M. tuberculosis.

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基于自噬相关基因的结核感染中心基因鉴定和分型。
由结核分枝杆菌引起的结核病是全球人类发病和死亡的主要原因之一。已经发现了一些与结核病相关的自噬基因和一些调节结核病的miRNA,但在结核分枝杆菌中鉴定自噬相关基因仍有待探索。本研究通过分析基因表达综合库(GEO)中的结核病相关数据集和人类自噬数据库中的自噬相关基因,鉴定了47个在结核病中差异表达的自噬相关性基因。通过蛋白质-蛋白质相互作用(PPI)网络发现了影响结核病的潜在关键基因,并验证了这些基因影响的可能途径。对与结核分枝杆菌感染相关的miRNA及其靶基因的PPI网络的分析显示,hsa-let-7、hsa-mir-155、hsa-mir-206、hsa-mir-26a、hsa-米尔-30a和hsa-mir-32可以单独或组合调节多种自噬相关基因(MAPK8、UVRAG、UKL2和GABARAPL1)的表达。随后,利用Cytoscape筛选与自噬相关的差异表达基因。确定了影响结核病的中枢基因(GABARAPL1和ULK2)。结合基因集富集分析(GSEA),验证了中枢基因影响的信号通路。最后,我们根据自噬相关基因将结核病患者分为两个亚组,不同亚组患者的免疫微环境存在显著差异。我们的研究发现了两个可能影响结核病的自噬相关中枢基因,并将结核病样本分为两个亚组。这一发现对结核病的治疗具有重要意义,为探索结核分枝杆菌的发病机制提供了新的思路。
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