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

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 ex...

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Autores principales: Sheng, Yunfeng, Hua, Haibo, Yong, Yan, Zhou, Lihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561080/
https://www.ncbi.nlm.nih.gov/pubmed/37725899
http://dx.doi.org/10.33073/pjm-2023-022
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author Sheng, Yunfeng
Hua, Haibo
Yong, Yan
Zhou, Lihong
author_facet Sheng, Yunfeng
Hua, Haibo
Yong, Yan
Zhou, Lihong
author_sort Sheng, Yunfeng
collection PubMed
description 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. [Figure: see text]
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spelling pubmed-105610802023-10-10 Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes Sheng, Yunfeng Hua, Haibo Yong, Yan Zhou, Lihong Pol J Microbiol Original Paper 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. [Figure: see text] Sciendo 2023-09-20 /pmc/articles/PMC10561080/ /pubmed/37725899 http://dx.doi.org/10.33073/pjm-2023-022 Text en © 2023 Yunfeng Sheng et al., published by Sciendo https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Original Paper
Sheng, Yunfeng
Hua, Haibo
Yong, Yan
Zhou, Lihong
Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes
title Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes
title_full Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes
title_fullStr Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes
title_full_unstemmed Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes
title_short Identification of Hub Genes and Typing of Tuberculosis Infections Based on Autophagy-Related Genes
title_sort identification of hub genes and typing of tuberculosis infections based on autophagy-related genes
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561080/
https://www.ncbi.nlm.nih.gov/pubmed/37725899
http://dx.doi.org/10.33073/pjm-2023-022
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