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Comparisons of the immunological landscape between COVID-19, influenza, and respiratory syncytial virus patients by clustering analysis
BACKGROUND: COVID-19 has stronger infectivity and a higher risk for severity than most other contagious respiratory illnesses. The mechanisms underlying this difference remain unclear. METHODS: We compared the immunological landscape between COVID-19 and two other contagious respiratory illnesses (i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062909/ https://www.ncbi.nlm.nih.gov/pubmed/33907612 http://dx.doi.org/10.1016/j.csbj.2021.04.043 |
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author | Abdelrahman, Zeinab Chen, Zuobing Lyu, Haoyu Wang, Xiaosheng |
author_facet | Abdelrahman, Zeinab Chen, Zuobing Lyu, Haoyu Wang, Xiaosheng |
author_sort | Abdelrahman, Zeinab |
collection | PubMed |
description | BACKGROUND: COVID-19 has stronger infectivity and a higher risk for severity than most other contagious respiratory illnesses. The mechanisms underlying this difference remain unclear. METHODS: We compared the immunological landscape between COVID-19 and two other contagious respiratory illnesses (influenza and respiratory syncytial virus (RSV)) by clustering analysis of the three diseases based on 27 immune signatures’ scores. RESULTS: We identified three immune subtypes: Immunity-H, Immunity-M, and Immunity-L, which displayed high, medium, and low immune signatures, respectively. We found 20%, 35.5%, and 44.5% of COVID-19 cases included in Immunity-H, Immunity-M, and Immunity-L, respectively; all influenza cases were included in Immunity-H; 66.7% and 33.3% of RSV cases belonged to Immunity-H and Immunity-L, respectively. These data indicate that most COVID-19 patients have weaker immune signatures than influenza and RSV patients, as evidenced by 22 of the 27 immune signatures having lower enrichment scores in COVID-19 than in influenza and/or RSV. The Immunity-M COVID-19 patients had the highest expression levels of ACE2 and IL-6 and lowest viral loads and were the youngest. In contrast, the Immunity-H COVID-19 patients had the lowest expression levels of ACE2 and IL-6 and highest viral loads and were the oldest. Most immune signatures had lower enrichment levels in the intensive care unit (ICU) than in non-ICU patients. Gene ontology analysis showed that the innate and adaptive immune responses were significantly downregulated in COVID-19 versus healthy individuals. CONCLUSIONS: Compared to influenza and RSV, COVID-19 displayed significantly different immunological profiles. Elevated immune signatures are associated with better prognosis in COVID-19 patients. |
format | Online Article Text |
id | pubmed-8062909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-80629092021-04-23 Comparisons of the immunological landscape between COVID-19, influenza, and respiratory syncytial virus patients by clustering analysis Abdelrahman, Zeinab Chen, Zuobing Lyu, Haoyu Wang, Xiaosheng Comput Struct Biotechnol J Research Article BACKGROUND: COVID-19 has stronger infectivity and a higher risk for severity than most other contagious respiratory illnesses. The mechanisms underlying this difference remain unclear. METHODS: We compared the immunological landscape between COVID-19 and two other contagious respiratory illnesses (influenza and respiratory syncytial virus (RSV)) by clustering analysis of the three diseases based on 27 immune signatures’ scores. RESULTS: We identified three immune subtypes: Immunity-H, Immunity-M, and Immunity-L, which displayed high, medium, and low immune signatures, respectively. We found 20%, 35.5%, and 44.5% of COVID-19 cases included in Immunity-H, Immunity-M, and Immunity-L, respectively; all influenza cases were included in Immunity-H; 66.7% and 33.3% of RSV cases belonged to Immunity-H and Immunity-L, respectively. These data indicate that most COVID-19 patients have weaker immune signatures than influenza and RSV patients, as evidenced by 22 of the 27 immune signatures having lower enrichment scores in COVID-19 than in influenza and/or RSV. The Immunity-M COVID-19 patients had the highest expression levels of ACE2 and IL-6 and lowest viral loads and were the youngest. In contrast, the Immunity-H COVID-19 patients had the lowest expression levels of ACE2 and IL-6 and highest viral loads and were the oldest. Most immune signatures had lower enrichment levels in the intensive care unit (ICU) than in non-ICU patients. Gene ontology analysis showed that the innate and adaptive immune responses were significantly downregulated in COVID-19 versus healthy individuals. CONCLUSIONS: Compared to influenza and RSV, COVID-19 displayed significantly different immunological profiles. Elevated immune signatures are associated with better prognosis in COVID-19 patients. Research Network of Computational and Structural Biotechnology 2021-04-23 /pmc/articles/PMC8062909/ /pubmed/33907612 http://dx.doi.org/10.1016/j.csbj.2021.04.043 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Abdelrahman, Zeinab Chen, Zuobing Lyu, Haoyu Wang, Xiaosheng Comparisons of the immunological landscape between COVID-19, influenza, and respiratory syncytial virus patients by clustering analysis |
title | Comparisons of the immunological landscape between COVID-19, influenza, and respiratory syncytial virus patients by clustering analysis |
title_full | Comparisons of the immunological landscape between COVID-19, influenza, and respiratory syncytial virus patients by clustering analysis |
title_fullStr | Comparisons of the immunological landscape between COVID-19, influenza, and respiratory syncytial virus patients by clustering analysis |
title_full_unstemmed | Comparisons of the immunological landscape between COVID-19, influenza, and respiratory syncytial virus patients by clustering analysis |
title_short | Comparisons of the immunological landscape between COVID-19, influenza, and respiratory syncytial virus patients by clustering analysis |
title_sort | comparisons of the immunological landscape between covid-19, influenza, and respiratory syncytial virus patients by clustering analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062909/ https://www.ncbi.nlm.nih.gov/pubmed/33907612 http://dx.doi.org/10.1016/j.csbj.2021.04.043 |
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