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Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis

BACKGROUND: Coronavirus disease 2019 (COVID-19) can involve persistence, sequelae, and other clinical complications that last weeks to months to evolve into long COVID-19. Exploratory studies have suggested that interleukin-6 (IL-6) is related to COVID-19; however, the correlation between IL-6 and l...

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Autores principales: Yin, Jing-Xian, Agbana, Yannick Luther, Sun, Zhi-Shan, Fei, Si-Wei, Zhao, Han-Qing, Zhou, Xiao-Nong, Chen, Jun-Hu, Kassegne, Kokouvi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123579/
https://www.ncbi.nlm.nih.gov/pubmed/37095536
http://dx.doi.org/10.1186/s40249-023-01086-z
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author Yin, Jing-Xian
Agbana, Yannick Luther
Sun, Zhi-Shan
Fei, Si-Wei
Zhao, Han-Qing
Zhou, Xiao-Nong
Chen, Jun-Hu
Kassegne, Kokouvi
author_facet Yin, Jing-Xian
Agbana, Yannick Luther
Sun, Zhi-Shan
Fei, Si-Wei
Zhao, Han-Qing
Zhou, Xiao-Nong
Chen, Jun-Hu
Kassegne, Kokouvi
author_sort Yin, Jing-Xian
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) can involve persistence, sequelae, and other clinical complications that last weeks to months to evolve into long COVID-19. Exploratory studies have suggested that interleukin-6 (IL-6) is related to COVID-19; however, the correlation between IL-6 and long COVID-19 is unknown. We designed a systematic review and meta-analysis to assess the relationship between IL-6 levels and long COVID-19. METHODS: Databases were systematically searched for articles with data on long COVID-19 and IL-6 levels published before September 2022. A total of 22 published studies were eligible for inclusion following the PRISMA guidelines. Analysis of data was undertaken by using Cochran's Q test and the Higgins I-squared (I(2)) statistic for heterogeneity. Random-effect meta-analyses were conducted to pool the IL-6 levels of long COVID-19 patients and to compare the differences in IL-6 levels among the long COVID-19, healthy, non-postacute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (non-PASC), and acute COVID-19 populations. The funnel plot and Egger's test were used to assess potential publication bias. Sensitivity analysis was used to test the stability of the results. RESULTS: An increase in IL-6 levels was observed after SARS-CoV-2 infection. The pooled estimate of IL-6 revealed a mean value of 20.92 pg/ml (95% CI = 9.30–32.54 pg/ml, I(2) = 100%, P < 0.01) for long COVID-19 patients. The forest plot showed high levels of IL-6 for long COVID-19 compared with healthy controls (mean difference = 9.75 pg/ml, 95% CI = 5.75–13.75 pg/ml, I(2) = 100%, P < 0.00001) and PASC category (mean difference = 3.32 pg/ml, 95% CI = 0.22–6.42 pg/ml, I(2) = 88%, P = 0.04). The symmetry of the funnel plots was not obvious, and Egger’s test showed that there was no significant small study effect in all groups. CONCLUSIONS: This study showed that increased IL-6 correlates with long COVID-19. Such an informative revelation suggests IL-6 as a basic determinant to predict long COVID-19 or at least inform on the “early stage” of long COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-023-01086-z.
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spelling pubmed-101235792023-04-25 Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis Yin, Jing-Xian Agbana, Yannick Luther Sun, Zhi-Shan Fei, Si-Wei Zhao, Han-Qing Zhou, Xiao-Nong Chen, Jun-Hu Kassegne, Kokouvi Infect Dis Poverty Scoping Review BACKGROUND: Coronavirus disease 2019 (COVID-19) can involve persistence, sequelae, and other clinical complications that last weeks to months to evolve into long COVID-19. Exploratory studies have suggested that interleukin-6 (IL-6) is related to COVID-19; however, the correlation between IL-6 and long COVID-19 is unknown. We designed a systematic review and meta-analysis to assess the relationship between IL-6 levels and long COVID-19. METHODS: Databases were systematically searched for articles with data on long COVID-19 and IL-6 levels published before September 2022. A total of 22 published studies were eligible for inclusion following the PRISMA guidelines. Analysis of data was undertaken by using Cochran's Q test and the Higgins I-squared (I(2)) statistic for heterogeneity. Random-effect meta-analyses were conducted to pool the IL-6 levels of long COVID-19 patients and to compare the differences in IL-6 levels among the long COVID-19, healthy, non-postacute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (non-PASC), and acute COVID-19 populations. The funnel plot and Egger's test were used to assess potential publication bias. Sensitivity analysis was used to test the stability of the results. RESULTS: An increase in IL-6 levels was observed after SARS-CoV-2 infection. The pooled estimate of IL-6 revealed a mean value of 20.92 pg/ml (95% CI = 9.30–32.54 pg/ml, I(2) = 100%, P < 0.01) for long COVID-19 patients. The forest plot showed high levels of IL-6 for long COVID-19 compared with healthy controls (mean difference = 9.75 pg/ml, 95% CI = 5.75–13.75 pg/ml, I(2) = 100%, P < 0.00001) and PASC category (mean difference = 3.32 pg/ml, 95% CI = 0.22–6.42 pg/ml, I(2) = 88%, P = 0.04). The symmetry of the funnel plots was not obvious, and Egger’s test showed that there was no significant small study effect in all groups. CONCLUSIONS: This study showed that increased IL-6 correlates with long COVID-19. Such an informative revelation suggests IL-6 as a basic determinant to predict long COVID-19 or at least inform on the “early stage” of long COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-023-01086-z. BioMed Central 2023-04-24 /pmc/articles/PMC10123579/ /pubmed/37095536 http://dx.doi.org/10.1186/s40249-023-01086-z Text en © The Author(s) 2023 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 Scoping Review
Yin, Jing-Xian
Agbana, Yannick Luther
Sun, Zhi-Shan
Fei, Si-Wei
Zhao, Han-Qing
Zhou, Xiao-Nong
Chen, Jun-Hu
Kassegne, Kokouvi
Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis
title Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis
title_full Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis
title_fullStr Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis
title_full_unstemmed Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis
title_short Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis
title_sort increased interleukin-6 is associated with long covid-19: a systematic review and meta-analysis
topic Scoping Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123579/
https://www.ncbi.nlm.nih.gov/pubmed/37095536
http://dx.doi.org/10.1186/s40249-023-01086-z
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