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The Dynamic Immunological Parameter Landscape in Coronavirus Disease 2019 Patients With Different Outcomes
OBJECTIVES: The longitudinal and systematic evaluation of immunity in coronavirus disease 2019 (COVID-19) patients is rarely reported. METHODS: Parameters involved in innate, adaptive, and humoral immunity were continuously monitored in COVID-19 patients from onset of illness until 45 days after sym...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586656/ https://www.ncbi.nlm.nih.gov/pubmed/34777333 http://dx.doi.org/10.3389/fimmu.2021.697622 |
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author | Tang, Guoxing Huang, Min Luo, Ying Liu, Wei Lin, Qun Mao, Liyan Wu, Shiji Xiong, Zhigang Hou, Hongyan Sun, Ziyong Wang, Feng |
author_facet | Tang, Guoxing Huang, Min Luo, Ying Liu, Wei Lin, Qun Mao, Liyan Wu, Shiji Xiong, Zhigang Hou, Hongyan Sun, Ziyong Wang, Feng |
author_sort | Tang, Guoxing |
collection | PubMed |
description | OBJECTIVES: The longitudinal and systematic evaluation of immunity in coronavirus disease 2019 (COVID-19) patients is rarely reported. METHODS: Parameters involved in innate, adaptive, and humoral immunity were continuously monitored in COVID-19 patients from onset of illness until 45 days after symptom onset. RESULTS: This study enrolled 27 mild, 47 severe, and 46 deceased COVID-19 patients. Generally, deceased patients demonstrated a gradual increase of neutrophils and IL-6 but a decrease of lymphocytes and platelets after the onset of illness. Specifically, sustained low numbers of CD8(+) T cells, NK cells, and dendritic cells were noted in deceased patients, while these cells gradually restored in mild and severe patients. Furthermore, deceased patients displayed a rapid increase of HLA-DR expression on CD4(+) T cells in the early phase, but with a low level of overall CD45RO and HLA-DR expressions on CD4(+) and CD8(+) T cells, respectively. Notably, in the early phase, deceased patients showed a lower level of plasma cells and antigen-specific IgG, but higher expansion of CD16(+)CD14(+) proinflammatory monocytes and HLA-DR(−)CD14(+) monocytic-myeloid-derived suppressor cells (M-MDSCs) than mild or severe patients. Among these immunological parameters, M-MDSCs showed the best performance in predicting COVID-19 mortality, when using a cutoff value of ≥10%. Cluster analysis found a typical immunological pattern in deceased patients on day 9 after onset, which was characterized as the increase of inflammatory markers (M-MDSCs, neutrophils, CD16(+)CD14(+) monocytes, and IL-6) but a decrease of host immunity markers. CONCLUSIONS: This study systemically characterizes the kinetics of immunity of COVID-19, highlighting the importance of immunity in patient prognosis. |
format | Online Article Text |
id | pubmed-8586656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85866562021-11-13 The Dynamic Immunological Parameter Landscape in Coronavirus Disease 2019 Patients With Different Outcomes Tang, Guoxing Huang, Min Luo, Ying Liu, Wei Lin, Qun Mao, Liyan Wu, Shiji Xiong, Zhigang Hou, Hongyan Sun, Ziyong Wang, Feng Front Immunol Immunology OBJECTIVES: The longitudinal and systematic evaluation of immunity in coronavirus disease 2019 (COVID-19) patients is rarely reported. METHODS: Parameters involved in innate, adaptive, and humoral immunity were continuously monitored in COVID-19 patients from onset of illness until 45 days after symptom onset. RESULTS: This study enrolled 27 mild, 47 severe, and 46 deceased COVID-19 patients. Generally, deceased patients demonstrated a gradual increase of neutrophils and IL-6 but a decrease of lymphocytes and platelets after the onset of illness. Specifically, sustained low numbers of CD8(+) T cells, NK cells, and dendritic cells were noted in deceased patients, while these cells gradually restored in mild and severe patients. Furthermore, deceased patients displayed a rapid increase of HLA-DR expression on CD4(+) T cells in the early phase, but with a low level of overall CD45RO and HLA-DR expressions on CD4(+) and CD8(+) T cells, respectively. Notably, in the early phase, deceased patients showed a lower level of plasma cells and antigen-specific IgG, but higher expansion of CD16(+)CD14(+) proinflammatory monocytes and HLA-DR(−)CD14(+) monocytic-myeloid-derived suppressor cells (M-MDSCs) than mild or severe patients. Among these immunological parameters, M-MDSCs showed the best performance in predicting COVID-19 mortality, when using a cutoff value of ≥10%. Cluster analysis found a typical immunological pattern in deceased patients on day 9 after onset, which was characterized as the increase of inflammatory markers (M-MDSCs, neutrophils, CD16(+)CD14(+) monocytes, and IL-6) but a decrease of host immunity markers. CONCLUSIONS: This study systemically characterizes the kinetics of immunity of COVID-19, highlighting the importance of immunity in patient prognosis. Frontiers Media S.A. 2021-10-29 /pmc/articles/PMC8586656/ /pubmed/34777333 http://dx.doi.org/10.3389/fimmu.2021.697622 Text en Copyright © 2021 Tang, Huang, Luo, Liu, Lin, Mao, Wu, Xiong, Hou, Sun 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 Tang, Guoxing Huang, Min Luo, Ying Liu, Wei Lin, Qun Mao, Liyan Wu, Shiji Xiong, Zhigang Hou, Hongyan Sun, Ziyong Wang, Feng The Dynamic Immunological Parameter Landscape in Coronavirus Disease 2019 Patients With Different Outcomes |
title | The Dynamic Immunological Parameter Landscape in Coronavirus Disease 2019 Patients With Different Outcomes |
title_full | The Dynamic Immunological Parameter Landscape in Coronavirus Disease 2019 Patients With Different Outcomes |
title_fullStr | The Dynamic Immunological Parameter Landscape in Coronavirus Disease 2019 Patients With Different Outcomes |
title_full_unstemmed | The Dynamic Immunological Parameter Landscape in Coronavirus Disease 2019 Patients With Different Outcomes |
title_short | The Dynamic Immunological Parameter Landscape in Coronavirus Disease 2019 Patients With Different Outcomes |
title_sort | dynamic immunological parameter landscape in coronavirus disease 2019 patients with different outcomes |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586656/ https://www.ncbi.nlm.nih.gov/pubmed/34777333 http://dx.doi.org/10.3389/fimmu.2021.697622 |
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