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Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis

BACKGROUND: COVID-19 has spread widely worldwide, causing millions of deaths. We aim to explore the association of immunological features with COVID-19 severity. METHODS: We conducted a meta-analysis to estimate mean difference (MD) of immune cells and cytokines levels with COVID-19 severity in PubM...

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Autores principales: Zhang, Zhicheng, Ai, Guo, Chen, Liping, Liu, Shunfang, Gong, Chen, Zhu, Xiaodong, Zhang, Chunli, Qin, Hua, Hu, Junhui, Huang, Jinjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329624/
https://www.ncbi.nlm.nih.gov/pubmed/34344353
http://dx.doi.org/10.1186/s12879-021-06457-1
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author Zhang, Zhicheng
Ai, Guo
Chen, Liping
Liu, Shunfang
Gong, Chen
Zhu, Xiaodong
Zhang, Chunli
Qin, Hua
Hu, Junhui
Huang, Jinjin
author_facet Zhang, Zhicheng
Ai, Guo
Chen, Liping
Liu, Shunfang
Gong, Chen
Zhu, Xiaodong
Zhang, Chunli
Qin, Hua
Hu, Junhui
Huang, Jinjin
author_sort Zhang, Zhicheng
collection PubMed
description BACKGROUND: COVID-19 has spread widely worldwide, causing millions of deaths. We aim to explore the association of immunological features with COVID-19 severity. METHODS: We conducted a meta-analysis to estimate mean difference (MD) of immune cells and cytokines levels with COVID-19 severity in PubMed, Web of Science, Scopus, the Cochrane Library and the grey literature. RESULTS: A total of 21 studies with 2033 COVID-19 patients were included. Compared with mild cases, severe cases showed significantly lower levels of immune cells including CD3(+) T cell (× 10(6), MD, − 413.87; 95%CI, − 611.39 to − 216.34), CD4(+) T cell (× 10(6), MD, − 203.56; 95%CI, − 277.94 to − 129.18), CD8(+) T cell (× 10(6), MD, − 128.88; 95%CI, − 163.97 to − 93.79), B cell (× 10(6)/L; MD, − 23.87; 95%CI, − 43.97 to − 3.78) and NK cell (× 10(6)/L; MD, − 57.12; 95%CI, − 81.18 to − 33.06), and significantly higher levels of cytokines including TNF-α (pg/ml; MD, 0.34; 95%CI, 0.09 to 0.59), IL-5 (pg/ml; MD, 14.2; 95%CI, 3.99 to 24.4), IL-6 (pg/ml; MD, 13.07; 95%CI, 9.80 to 16.35), and IL-10 (pg/ml; MD, 2.04; 95%CI, 1.32 to 2.75), and significantly higher levels of chemokines as MCP-1 (SMD, 3.41; 95%CI, 2.42 to 4.40), IP-10 (SMD, 2.82; 95%CI, 1.20 to 4.45) and eotaxin (SMD, 1.55; 95%CI, 0.05 to 3.05). However, no significant difference was found in other indicators such as Treg cell (× 10(6), MD, − 0.13; 95%CI, − 1.40 to 1.14), CD4(+)/CD8(+) ratio (MD, 0.26; 95%CI, − 0.02 to 0.55), IFN-γ (pg/ml; MD, 0.26; 95%CI, − 0.05 to 0.56), IL-2 (pg/ml; MD, 0.05; 95%CI, − 0.49 to 0.60), IL-4 (pg/ml; MD, − 0.03; 95%CI, − 0.68 to 0.62), GM-CSF (SMD, 0.44; 95%CI, − 0.46 to 1.35), and RANTES (SMD, 0.94; 95%CI, − 2.88 to 4.75). CONCLUSION: Our meta-analysis revealed significantly lower levels of immune cells (CD3(+) T, CD4(+) T, CD8(+) T, B and NK cells), higher levels of cytokines (TNF-α, IL-5, IL-6 and IL-10) and higher levels of chemokines (MCP-1, IP-10 and eotaxin) in severe cases in comparison to mild cases of COVID-19. Measurement of immunological features could help assess disease severity for effective triage of COVID-19 patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06457-1.
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spelling pubmed-83296242021-08-03 Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis Zhang, Zhicheng Ai, Guo Chen, Liping Liu, Shunfang Gong, Chen Zhu, Xiaodong Zhang, Chunli Qin, Hua Hu, Junhui Huang, Jinjin BMC Infect Dis Research Article BACKGROUND: COVID-19 has spread widely worldwide, causing millions of deaths. We aim to explore the association of immunological features with COVID-19 severity. METHODS: We conducted a meta-analysis to estimate mean difference (MD) of immune cells and cytokines levels with COVID-19 severity in PubMed, Web of Science, Scopus, the Cochrane Library and the grey literature. RESULTS: A total of 21 studies with 2033 COVID-19 patients were included. Compared with mild cases, severe cases showed significantly lower levels of immune cells including CD3(+) T cell (× 10(6), MD, − 413.87; 95%CI, − 611.39 to − 216.34), CD4(+) T cell (× 10(6), MD, − 203.56; 95%CI, − 277.94 to − 129.18), CD8(+) T cell (× 10(6), MD, − 128.88; 95%CI, − 163.97 to − 93.79), B cell (× 10(6)/L; MD, − 23.87; 95%CI, − 43.97 to − 3.78) and NK cell (× 10(6)/L; MD, − 57.12; 95%CI, − 81.18 to − 33.06), and significantly higher levels of cytokines including TNF-α (pg/ml; MD, 0.34; 95%CI, 0.09 to 0.59), IL-5 (pg/ml; MD, 14.2; 95%CI, 3.99 to 24.4), IL-6 (pg/ml; MD, 13.07; 95%CI, 9.80 to 16.35), and IL-10 (pg/ml; MD, 2.04; 95%CI, 1.32 to 2.75), and significantly higher levels of chemokines as MCP-1 (SMD, 3.41; 95%CI, 2.42 to 4.40), IP-10 (SMD, 2.82; 95%CI, 1.20 to 4.45) and eotaxin (SMD, 1.55; 95%CI, 0.05 to 3.05). However, no significant difference was found in other indicators such as Treg cell (× 10(6), MD, − 0.13; 95%CI, − 1.40 to 1.14), CD4(+)/CD8(+) ratio (MD, 0.26; 95%CI, − 0.02 to 0.55), IFN-γ (pg/ml; MD, 0.26; 95%CI, − 0.05 to 0.56), IL-2 (pg/ml; MD, 0.05; 95%CI, − 0.49 to 0.60), IL-4 (pg/ml; MD, − 0.03; 95%CI, − 0.68 to 0.62), GM-CSF (SMD, 0.44; 95%CI, − 0.46 to 1.35), and RANTES (SMD, 0.94; 95%CI, − 2.88 to 4.75). CONCLUSION: Our meta-analysis revealed significantly lower levels of immune cells (CD3(+) T, CD4(+) T, CD8(+) T, B and NK cells), higher levels of cytokines (TNF-α, IL-5, IL-6 and IL-10) and higher levels of chemokines (MCP-1, IP-10 and eotaxin) in severe cases in comparison to mild cases of COVID-19. Measurement of immunological features could help assess disease severity for effective triage of COVID-19 patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06457-1. BioMed Central 2021-08-03 /pmc/articles/PMC8329624/ /pubmed/34344353 http://dx.doi.org/10.1186/s12879-021-06457-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Zhang, Zhicheng
Ai, Guo
Chen, Liping
Liu, Shunfang
Gong, Chen
Zhu, Xiaodong
Zhang, Chunli
Qin, Hua
Hu, Junhui
Huang, Jinjin
Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis
title Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis
title_full Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis
title_fullStr Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis
title_full_unstemmed Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis
title_short Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis
title_sort associations of immunological features with covid-19 severity: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329624/
https://www.ncbi.nlm.nih.gov/pubmed/34344353
http://dx.doi.org/10.1186/s12879-021-06457-1
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