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Effect of SARS-CoV-2 infection on asthma patients
BACKGROUND: SARS-CoV-2 causes coronavirus disease 2019 (COVID-19), a new coronavirus pneumonia, and containing such an international pandemic catastrophe remains exceedingly difficult. Asthma is a severe chronic inflammatory airway disease that is becoming more common around the world. However, the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378965/ https://www.ncbi.nlm.nih.gov/pubmed/35983093 http://dx.doi.org/10.3389/fmed.2022.928637 |
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author | Li, Xin-yu Wang, Jing-bing An, Hong-bang Wen, Ming-zhe You, Jian-xiong Yang, Xi-tao |
author_facet | Li, Xin-yu Wang, Jing-bing An, Hong-bang Wen, Ming-zhe You, Jian-xiong Yang, Xi-tao |
author_sort | Li, Xin-yu |
collection | PubMed |
description | BACKGROUND: SARS-CoV-2 causes coronavirus disease 2019 (COVID-19), a new coronavirus pneumonia, and containing such an international pandemic catastrophe remains exceedingly difficult. Asthma is a severe chronic inflammatory airway disease that is becoming more common around the world. However, the link between asthma and COVID-19 remains unknown. Through bioinformatics analysis, this study attempted to understand the molecular pathways and discover potential medicines for treating COVID-19 and asthma. METHODS: To investigate the relationship between SARS-CoV-2 and asthma patients, a transcriptome analysis was used to discover shared pathways and molecular signatures in asthma and COVID-19. Here, two RNA-seq data (GSE147507 and GSE74986) from the Gene Expression Omnibus were used to detect differentially expressed genes (DEGs) in asthma and COVID-19 patients to find the shared pathways and the potential drug candidates. RESULTS: There were 66 DEGs in all that were classified as common DEGs. Using a protein-protein interaction (PPI) network created using various bioinformatics techniques, five hub genes were found. We found that asthma has some shared links with the progression of COVID-19. Additionally, protein-drug interactions with common DEGs were also identified in the datasets. CONCLUSION: We investigated possible links between COVID-19 and asthma using bioinformatics databases, which might be useful in treating COVID-19 patients. More studies on populations affected by these diseases are needed to elucidate the molecular mechanism behind their association. |
format | Online Article Text |
id | pubmed-9378965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93789652022-08-17 Effect of SARS-CoV-2 infection on asthma patients Li, Xin-yu Wang, Jing-bing An, Hong-bang Wen, Ming-zhe You, Jian-xiong Yang, Xi-tao Front Med (Lausanne) Medicine BACKGROUND: SARS-CoV-2 causes coronavirus disease 2019 (COVID-19), a new coronavirus pneumonia, and containing such an international pandemic catastrophe remains exceedingly difficult. Asthma is a severe chronic inflammatory airway disease that is becoming more common around the world. However, the link between asthma and COVID-19 remains unknown. Through bioinformatics analysis, this study attempted to understand the molecular pathways and discover potential medicines for treating COVID-19 and asthma. METHODS: To investigate the relationship between SARS-CoV-2 and asthma patients, a transcriptome analysis was used to discover shared pathways and molecular signatures in asthma and COVID-19. Here, two RNA-seq data (GSE147507 and GSE74986) from the Gene Expression Omnibus were used to detect differentially expressed genes (DEGs) in asthma and COVID-19 patients to find the shared pathways and the potential drug candidates. RESULTS: There were 66 DEGs in all that were classified as common DEGs. Using a protein-protein interaction (PPI) network created using various bioinformatics techniques, five hub genes were found. We found that asthma has some shared links with the progression of COVID-19. Additionally, protein-drug interactions with common DEGs were also identified in the datasets. CONCLUSION: We investigated possible links between COVID-19 and asthma using bioinformatics databases, which might be useful in treating COVID-19 patients. More studies on populations affected by these diseases are needed to elucidate the molecular mechanism behind their association. Frontiers Media S.A. 2022-08-02 /pmc/articles/PMC9378965/ /pubmed/35983093 http://dx.doi.org/10.3389/fmed.2022.928637 Text en Copyright © 2022 Li, Wang, An, Wen, You and Yang. 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 | Medicine Li, Xin-yu Wang, Jing-bing An, Hong-bang Wen, Ming-zhe You, Jian-xiong Yang, Xi-tao Effect of SARS-CoV-2 infection on asthma patients |
title | Effect of SARS-CoV-2 infection on asthma patients |
title_full | Effect of SARS-CoV-2 infection on asthma patients |
title_fullStr | Effect of SARS-CoV-2 infection on asthma patients |
title_full_unstemmed | Effect of SARS-CoV-2 infection on asthma patients |
title_short | Effect of SARS-CoV-2 infection on asthma patients |
title_sort | effect of sars-cov-2 infection on asthma patients |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378965/ https://www.ncbi.nlm.nih.gov/pubmed/35983093 http://dx.doi.org/10.3389/fmed.2022.928637 |
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