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Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19

BACKGROUND: The novel coronavirus disease (COVID-19) has been declared a global pandemic, with the cumulative number of confirmed cases and deaths exceeding 150 million and 3 million, respectively. Here, we examined the dynamic changes in the immune and clinical features of patients with COVID-19. M...

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Autores principales: Ren, Pingping, Zhu, Chaohong, He, Yongchun, Jiang, Hong, Chen, Jianghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350647/
https://www.ncbi.nlm.nih.gov/pubmed/34430559
http://dx.doi.org/10.21037/atm-21-812
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author Ren, Pingping
Zhu, Chaohong
He, Yongchun
Jiang, Hong
Chen, Jianghua
author_facet Ren, Pingping
Zhu, Chaohong
He, Yongchun
Jiang, Hong
Chen, Jianghua
author_sort Ren, Pingping
collection PubMed
description BACKGROUND: The novel coronavirus disease (COVID-19) has been declared a global pandemic, with the cumulative number of confirmed cases and deaths exceeding 150 million and 3 million, respectively. Here, we examined the dynamic changes in the immune and clinical features of patients with COVID-19. METHODS: Clinical data of 98 patients with confirmed COVID-19 diagnosis were acquired from electronic medical records and curated. The data were analyzed based on the stage of the admission, deterioration, and convalescence, which included age, sex, severity, disease stages, biochemical indicators, immune cells, inflammatory cytokines, and immunoglobulins. Additionally, temporal changes in the immune response in patients undergoing continuous renal replacement therapy (CRRT) were also examined. RESULTS: Compared to mild stage patients, severe stage patients with COVID-19 exhibited a significant reduction in lymphocyte [23.10 (17.58–33.55) vs. 4.80 (2.95–6.50), P<0.001], monocyte [8.65 (7.28–10.00) vs. 3.45 (2.53–4.58), P<0.001], and NK cell levels [244.00 (150.50–335.00) vs. 59.00 (40.00–101.00), P<0.001] but showed elevated levels of neutrophils [64.90 (56.30–73.70) vs. 90.95 (87.60–93.68), P<0.001], inflammatory cytokines [Interleukin-10, 3.05 (1.37–3.86) vs. 5.94 (3.84–8.35), P=0.001; and tumor necrosis factor-α, 11.50 (6.55–26.45) vs. 12.96 (12.22–36.80), P=0.029], which improved during convalescence. Besides, the number of immune cells—T lymphocytes, B lymphocytes, helper T cells, suppressor T cells, NK cells, and monocytes, except neutrophils—slowly increased in critically ill patients receiving CRRT from 0 to 3 weeks. CONCLUSIONS: Our results indicate that the surveillance of immune cells may contribute to monitoring COVID-19 disease progression, and CRRT is a potential therapeutic strategy to regulate the immune balance in critically ill patients.
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spelling pubmed-83506472021-08-23 Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19 Ren, Pingping Zhu, Chaohong He, Yongchun Jiang, Hong Chen, Jianghua Ann Transl Med Original Article BACKGROUND: The novel coronavirus disease (COVID-19) has been declared a global pandemic, with the cumulative number of confirmed cases and deaths exceeding 150 million and 3 million, respectively. Here, we examined the dynamic changes in the immune and clinical features of patients with COVID-19. METHODS: Clinical data of 98 patients with confirmed COVID-19 diagnosis were acquired from electronic medical records and curated. The data were analyzed based on the stage of the admission, deterioration, and convalescence, which included age, sex, severity, disease stages, biochemical indicators, immune cells, inflammatory cytokines, and immunoglobulins. Additionally, temporal changes in the immune response in patients undergoing continuous renal replacement therapy (CRRT) were also examined. RESULTS: Compared to mild stage patients, severe stage patients with COVID-19 exhibited a significant reduction in lymphocyte [23.10 (17.58–33.55) vs. 4.80 (2.95–6.50), P<0.001], monocyte [8.65 (7.28–10.00) vs. 3.45 (2.53–4.58), P<0.001], and NK cell levels [244.00 (150.50–335.00) vs. 59.00 (40.00–101.00), P<0.001] but showed elevated levels of neutrophils [64.90 (56.30–73.70) vs. 90.95 (87.60–93.68), P<0.001], inflammatory cytokines [Interleukin-10, 3.05 (1.37–3.86) vs. 5.94 (3.84–8.35), P=0.001; and tumor necrosis factor-α, 11.50 (6.55–26.45) vs. 12.96 (12.22–36.80), P=0.029], which improved during convalescence. Besides, the number of immune cells—T lymphocytes, B lymphocytes, helper T cells, suppressor T cells, NK cells, and monocytes, except neutrophils—slowly increased in critically ill patients receiving CRRT from 0 to 3 weeks. CONCLUSIONS: Our results indicate that the surveillance of immune cells may contribute to monitoring COVID-19 disease progression, and CRRT is a potential therapeutic strategy to regulate the immune balance in critically ill patients. AME Publishing Company 2021-07 /pmc/articles/PMC8350647/ /pubmed/34430559 http://dx.doi.org/10.21037/atm-21-812 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Ren, Pingping
Zhu, Chaohong
He, Yongchun
Jiang, Hong
Chen, Jianghua
Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19
title Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19
title_full Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19
title_fullStr Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19
title_full_unstemmed Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19
title_short Analysis of the dynamic relationship between immune profiles and the clinical features of patients with COVID-19
title_sort analysis of the dynamic relationship between immune profiles and the clinical features of patients with covid-19
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350647/
https://www.ncbi.nlm.nih.gov/pubmed/34430559
http://dx.doi.org/10.21037/atm-21-812
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