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Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19

Background: The COVID-19 pandemic has currently developed into a worldwide threat to humankind. Importantly, patients with severe COVID-19 are believed to have a higher mortality risk than those with mild conditions. However, despite the urgent need to develop novel therapeutic strategies, the biolo...

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Autores principales: Huang, Jinfeng, Wang, Yimeng, Zha, Yawen, Zeng, Xin, Li, Wenxing, Zhou, Meijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340158/
https://www.ncbi.nlm.nih.gov/pubmed/35923698
http://dx.doi.org/10.3389/fgene.2022.908826
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author Huang, Jinfeng
Wang, Yimeng
Zha, Yawen
Zeng, Xin
Li, Wenxing
Zhou, Meijuan
author_facet Huang, Jinfeng
Wang, Yimeng
Zha, Yawen
Zeng, Xin
Li, Wenxing
Zhou, Meijuan
author_sort Huang, Jinfeng
collection PubMed
description Background: The COVID-19 pandemic has currently developed into a worldwide threat to humankind. Importantly, patients with severe COVID-19 are believed to have a higher mortality risk than those with mild conditions. However, despite the urgent need to develop novel therapeutic strategies, the biological features and pathogenic mechanisms of severe COVID-19 are poorly understood. Methods: Here, peripheral blood mononuclear cells (PBMCs) from four patients with severe COVID-19, four patients with mild COVID-19, and four healthy controls were examined by RNA sequencing (RNA-Seq). We conducted gene expression analysis and Venn diagrams to detect specific differentially expressed genes (DEGs) in patients with severe disease compared with those with mild conditions. Gene Ontology (GO) enrichment analysis was performed to identify the significant biological processes, and protein–protein interaction networks were constructed to extract hub genes. These hub genes were then subjected to regulatory signatures and protein–chemical interaction analysis for certain regulatory checkpoints and identification of potent chemical agents. Finally, to demonstrate the cell type-specific expression of these genes, we performed single-cell RNA-Seq analyses using an online platform. Results: A total of 144 DEGs were specifically expressed in severe COVID-19, and GO enrichment analysis revealed a significant association of these specific DEGs with autophagy. Hub genes such as MVB12A, CHMP6, STAM, and VPS37B were then found to be most significantly involved in the biological processes of autophagy at the transcriptome level. In addition, six transcription factors, including SRF, YY1, CREB1, PPARG, NFIC, and GATA2, as well as miRNAs, namely, hsa-mir-1-3p, and potent chemical agents such as copper sulfate and cobalt chloride, may cooperate in regulating the autophagy hub genes. Furthermore, classical monocytes may play a central role in severe COVID-19. Conclusion: We suggest that autophagy plays a crucial role in severe COVID-19. This study might facilitate a more profound knowledge of the biological characteristics and progression of COVID-19 and the development of novel therapeutic approaches to achieve a breakthrough in the current COVID-19 pandemic.
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spelling pubmed-93401582022-08-02 Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19 Huang, Jinfeng Wang, Yimeng Zha, Yawen Zeng, Xin Li, Wenxing Zhou, Meijuan Front Genet Genetics Background: The COVID-19 pandemic has currently developed into a worldwide threat to humankind. Importantly, patients with severe COVID-19 are believed to have a higher mortality risk than those with mild conditions. However, despite the urgent need to develop novel therapeutic strategies, the biological features and pathogenic mechanisms of severe COVID-19 are poorly understood. Methods: Here, peripheral blood mononuclear cells (PBMCs) from four patients with severe COVID-19, four patients with mild COVID-19, and four healthy controls were examined by RNA sequencing (RNA-Seq). We conducted gene expression analysis and Venn diagrams to detect specific differentially expressed genes (DEGs) in patients with severe disease compared with those with mild conditions. Gene Ontology (GO) enrichment analysis was performed to identify the significant biological processes, and protein–protein interaction networks were constructed to extract hub genes. These hub genes were then subjected to regulatory signatures and protein–chemical interaction analysis for certain regulatory checkpoints and identification of potent chemical agents. Finally, to demonstrate the cell type-specific expression of these genes, we performed single-cell RNA-Seq analyses using an online platform. Results: A total of 144 DEGs were specifically expressed in severe COVID-19, and GO enrichment analysis revealed a significant association of these specific DEGs with autophagy. Hub genes such as MVB12A, CHMP6, STAM, and VPS37B were then found to be most significantly involved in the biological processes of autophagy at the transcriptome level. In addition, six transcription factors, including SRF, YY1, CREB1, PPARG, NFIC, and GATA2, as well as miRNAs, namely, hsa-mir-1-3p, and potent chemical agents such as copper sulfate and cobalt chloride, may cooperate in regulating the autophagy hub genes. Furthermore, classical monocytes may play a central role in severe COVID-19. Conclusion: We suggest that autophagy plays a crucial role in severe COVID-19. This study might facilitate a more profound knowledge of the biological characteristics and progression of COVID-19 and the development of novel therapeutic approaches to achieve a breakthrough in the current COVID-19 pandemic. Frontiers Media S.A. 2022-07-18 /pmc/articles/PMC9340158/ /pubmed/35923698 http://dx.doi.org/10.3389/fgene.2022.908826 Text en Copyright © 2022 Huang, Wang, Zha, Zeng, Li and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Huang, Jinfeng
Wang, Yimeng
Zha, Yawen
Zeng, Xin
Li, Wenxing
Zhou, Meijuan
Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19
title Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19
title_full Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19
title_fullStr Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19
title_full_unstemmed Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19
title_short Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19
title_sort transcriptome analysis reveals hub genes regulating autophagy in patients with severe covid-19
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340158/
https://www.ncbi.nlm.nih.gov/pubmed/35923698
http://dx.doi.org/10.3389/fgene.2022.908826
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