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Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease

BACKGROUND: Coronavirus disease 2019 (COVID-19) and inflammatory bowel disease (IBD) are both caused by a disordered immune response and have direct and profound impacts on health care services. In this study, we implemented transcriptomic and single-cell analysis to detect common molecular and cell...

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Autores principales: Zhang, Chengyan, Ma, Zeyu, Nan, Xi, Wang, Wenhui, Zeng, Xianchang, Chen, Jinming, Cai, Zhijian, Wang, Jianli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936160/
https://www.ncbi.nlm.nih.gov/pubmed/36817436
http://dx.doi.org/10.3389/fimmu.2023.1024041
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author Zhang, Chengyan
Ma, Zeyu
Nan, Xi
Wang, Wenhui
Zeng, Xianchang
Chen, Jinming
Cai, Zhijian
Wang, Jianli
author_facet Zhang, Chengyan
Ma, Zeyu
Nan, Xi
Wang, Wenhui
Zeng, Xianchang
Chen, Jinming
Cai, Zhijian
Wang, Jianli
author_sort Zhang, Chengyan
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) and inflammatory bowel disease (IBD) are both caused by a disordered immune response and have direct and profound impacts on health care services. In this study, we implemented transcriptomic and single-cell analysis to detect common molecular and cellular intersections between COVID-19 and IBD that help understand the linkage of COVID-19 to the IBD patients. METHODS: Four RNA-sequencing datasets (GSE147507, GSE126124, GSE9686 and GSE36807) from Gene Expression Omnibus (GEO) database are extracted to detect mutual differentially expressed genes (DEGs) for IBD patients with the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to find shared pathways, candidate drugs, hub genes and regulatory networks. Two single-cell RNA sequencing (scRNA-eq) datasets (GSE150728, PRJCA003980) are used to analyze the immune characteristics of hub genes and the proportion of immune cell types, so as to find common immune responses between COVID-19 and IBD. RESULTS: A total of 121 common DEGs were identified among four RNA-seq datasets, and were all involved in the functional enrichment analysis related to inflammation and immune response. Transcription factors-DEGs interactions, miRNAs-DEGs coregulatory networks, and protein-drug interactions were identified based on these datasets. Protein-protein interactions (PPIs) was built and 59 hub genes were identified. Moreover, scRNA-seq of peripheral blood monocyte cells (PBMCs) from COVID-19 patients revealed a significant increase in the proportion of CD14(+) monocytes, in which 38 of 59 hub genes were highly enriched. These genes, encoding inflammatory cytokines, were also highly expressed in inflammatory macrophages (IMacrophage) of intestinal tissues of IBD patients. CONCLUSIONS: We conclude that COVID-19 may promote the progression of IBD through cytokine storms. The candidate drugs and DEGs-regulated networks may suggest effective therapeutic methods for both COVID-19 and IBD.
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spelling pubmed-99361602023-02-18 Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease Zhang, Chengyan Ma, Zeyu Nan, Xi Wang, Wenhui Zeng, Xianchang Chen, Jinming Cai, Zhijian Wang, Jianli Front Immunol Immunology BACKGROUND: Coronavirus disease 2019 (COVID-19) and inflammatory bowel disease (IBD) are both caused by a disordered immune response and have direct and profound impacts on health care services. In this study, we implemented transcriptomic and single-cell analysis to detect common molecular and cellular intersections between COVID-19 and IBD that help understand the linkage of COVID-19 to the IBD patients. METHODS: Four RNA-sequencing datasets (GSE147507, GSE126124, GSE9686 and GSE36807) from Gene Expression Omnibus (GEO) database are extracted to detect mutual differentially expressed genes (DEGs) for IBD patients with the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to find shared pathways, candidate drugs, hub genes and regulatory networks. Two single-cell RNA sequencing (scRNA-eq) datasets (GSE150728, PRJCA003980) are used to analyze the immune characteristics of hub genes and the proportion of immune cell types, so as to find common immune responses between COVID-19 and IBD. RESULTS: A total of 121 common DEGs were identified among four RNA-seq datasets, and were all involved in the functional enrichment analysis related to inflammation and immune response. Transcription factors-DEGs interactions, miRNAs-DEGs coregulatory networks, and protein-drug interactions were identified based on these datasets. Protein-protein interactions (PPIs) was built and 59 hub genes were identified. Moreover, scRNA-seq of peripheral blood monocyte cells (PBMCs) from COVID-19 patients revealed a significant increase in the proportion of CD14(+) monocytes, in which 38 of 59 hub genes were highly enriched. These genes, encoding inflammatory cytokines, were also highly expressed in inflammatory macrophages (IMacrophage) of intestinal tissues of IBD patients. CONCLUSIONS: We conclude that COVID-19 may promote the progression of IBD through cytokine storms. The candidate drugs and DEGs-regulated networks may suggest effective therapeutic methods for both COVID-19 and IBD. Frontiers Media S.A. 2023-02-03 /pmc/articles/PMC9936160/ /pubmed/36817436 http://dx.doi.org/10.3389/fimmu.2023.1024041 Text en Copyright © 2023 Zhang, Ma, Nan, Wang, Zeng, Chen, Cai and Wang 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 Immunology
Zhang, Chengyan
Ma, Zeyu
Nan, Xi
Wang, Wenhui
Zeng, Xianchang
Chen, Jinming
Cai, Zhijian
Wang, Jianli
Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease
title Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease
title_full Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease
title_fullStr Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease
title_full_unstemmed Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease
title_short Comprehensive analysis to identify the influences of SARS-CoV-2 infections to inflammatory bowel disease
title_sort comprehensive analysis to identify the influences of sars-cov-2 infections to inflammatory bowel disease
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936160/
https://www.ncbi.nlm.nih.gov/pubmed/36817436
http://dx.doi.org/10.3389/fimmu.2023.1024041
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