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Comparative Analysis of Long Non-Coding RNA Expression and Immune Response in Mild and Severe COVID-19
Background: Coronavirus disease 2019 (COVID-19) is a worldwide emergency, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Long non-coding RNAs (lncRNAs) do not encode proteins but could participate in immune response. Methods: In our study, 39 COVID-19 patients were enrolled....
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/PMC9094366/ https://www.ncbi.nlm.nih.gov/pubmed/35573725 http://dx.doi.org/10.3389/fmolb.2022.835590 |
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author | Zhang, Yongting Shi, Fan Wang, Yuchong Meng, Yuting Zhang, Qiong Wang, Kaihang Zeng, Ping Diao, Hongyan |
author_facet | Zhang, Yongting Shi, Fan Wang, Yuchong Meng, Yuting Zhang, Qiong Wang, Kaihang Zeng, Ping Diao, Hongyan |
author_sort | Zhang, Yongting |
collection | PubMed |
description | Background: Coronavirus disease 2019 (COVID-19) is a worldwide emergency, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Long non-coding RNAs (lncRNAs) do not encode proteins but could participate in immune response. Methods: In our study, 39 COVID-19 patients were enrolled. The microarray of peripheral blood mononuclear cells from healthy and COVID-19 patients was applied to identify the expression profiles of lncRNAs and mRNAs. Identified differentially expressed (DE) lncRNAs were validated by qRT-PCR. Then, the lncRNA–mRNA network was constructed and visualized using Cytoscape (3.6.1) based on the Pearson correlation coefficient. The enrichment of DE mRNAs was analyzed using Metascape. The difference in frequencies of immune cells and cytokines was detected using CIBERSORT and ImmPort based on DE mRNAs. Results: All patients with COVID-19 displayed lymphopenia, especially in T cells, and hyper-inflammatory responses, including IL-6 and TNF-α. Four immune-related lncRNAs in COVID-19 were found and further validated, including AC136475.9, CATG00000032642.1, G004246, and XLOC_013290. Functional analysis enriched in downregulation of the T-cell receptor and the antigen processing and presentation as well as increased apoptotic proteins, which could lead to T-cell cytopenia. In addition, they participated in monocyte remodeling, which contributed to releasing cytokines and chemokines and then recruiting more monocytes and aggravating the clinical severity of COVID-19 patients. Conclusion: Taken together, four lncRNAs were in part of immune response in COVID-19, which was involved in the T-cell cytopenia by downregulating the antigen processing and presentation, the T-cell receptor, and an increased proportion of monocytes, with a distinct change in cytokines and chemokines. |
format | Online Article Text |
id | pubmed-9094366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90943662022-05-12 Comparative Analysis of Long Non-Coding RNA Expression and Immune Response in Mild and Severe COVID-19 Zhang, Yongting Shi, Fan Wang, Yuchong Meng, Yuting Zhang, Qiong Wang, Kaihang Zeng, Ping Diao, Hongyan Front Mol Biosci Molecular Biosciences Background: Coronavirus disease 2019 (COVID-19) is a worldwide emergency, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Long non-coding RNAs (lncRNAs) do not encode proteins but could participate in immune response. Methods: In our study, 39 COVID-19 patients were enrolled. The microarray of peripheral blood mononuclear cells from healthy and COVID-19 patients was applied to identify the expression profiles of lncRNAs and mRNAs. Identified differentially expressed (DE) lncRNAs were validated by qRT-PCR. Then, the lncRNA–mRNA network was constructed and visualized using Cytoscape (3.6.1) based on the Pearson correlation coefficient. The enrichment of DE mRNAs was analyzed using Metascape. The difference in frequencies of immune cells and cytokines was detected using CIBERSORT and ImmPort based on DE mRNAs. Results: All patients with COVID-19 displayed lymphopenia, especially in T cells, and hyper-inflammatory responses, including IL-6 and TNF-α. Four immune-related lncRNAs in COVID-19 were found and further validated, including AC136475.9, CATG00000032642.1, G004246, and XLOC_013290. Functional analysis enriched in downregulation of the T-cell receptor and the antigen processing and presentation as well as increased apoptotic proteins, which could lead to T-cell cytopenia. In addition, they participated in monocyte remodeling, which contributed to releasing cytokines and chemokines and then recruiting more monocytes and aggravating the clinical severity of COVID-19 patients. Conclusion: Taken together, four lncRNAs were in part of immune response in COVID-19, which was involved in the T-cell cytopenia by downregulating the antigen processing and presentation, the T-cell receptor, and an increased proportion of monocytes, with a distinct change in cytokines and chemokines. Frontiers Media S.A. 2022-04-27 /pmc/articles/PMC9094366/ /pubmed/35573725 http://dx.doi.org/10.3389/fmolb.2022.835590 Text en Copyright © 2022 Zhang, Shi, Wang, Meng, Zhang, Wang, Zeng and Diao. 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 | Molecular Biosciences Zhang, Yongting Shi, Fan Wang, Yuchong Meng, Yuting Zhang, Qiong Wang, Kaihang Zeng, Ping Diao, Hongyan Comparative Analysis of Long Non-Coding RNA Expression and Immune Response in Mild and Severe COVID-19 |
title | Comparative Analysis of Long Non-Coding RNA Expression and Immune Response in Mild and Severe COVID-19 |
title_full | Comparative Analysis of Long Non-Coding RNA Expression and Immune Response in Mild and Severe COVID-19 |
title_fullStr | Comparative Analysis of Long Non-Coding RNA Expression and Immune Response in Mild and Severe COVID-19 |
title_full_unstemmed | Comparative Analysis of Long Non-Coding RNA Expression and Immune Response in Mild and Severe COVID-19 |
title_short | Comparative Analysis of Long Non-Coding RNA Expression and Immune Response in Mild and Severe COVID-19 |
title_sort | comparative analysis of long non-coding rna expression and immune response in mild and severe covid-19 |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094366/ https://www.ncbi.nlm.nih.gov/pubmed/35573725 http://dx.doi.org/10.3389/fmolb.2022.835590 |
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