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Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis
OBJECTIVES: In this study, we aimed to study the rate of autoantibodies against type I interferons (IFNs) in patients with COVID-19 and analyze its dependence on severity of infection and some other variables. METHODS: A systemic review with the search terms: “COVID-19” or “SARS-CoV-2” and “autoanti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005838/ https://www.ncbi.nlm.nih.gov/pubmed/36907547 http://dx.doi.org/10.1016/j.ijid.2023.03.011 |
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author | Wang, Xi Tang, Qi Li, Hongmei Jiang, Honglin Xu, Jing Bergquist, Robert Qin, Zhiqiang |
author_facet | Wang, Xi Tang, Qi Li, Hongmei Jiang, Honglin Xu, Jing Bergquist, Robert Qin, Zhiqiang |
author_sort | Wang, Xi |
collection | PubMed |
description | OBJECTIVES: In this study, we aimed to study the rate of autoantibodies against type I interferons (IFNs) in patients with COVID-19 and analyze its dependence on severity of infection and some other variables. METHODS: A systemic review with the search terms: “COVID-19” or “SARS-CoV-2” and “autoantibodies” or “autoantibody” and “IFN” or “interferon” for the period 20 December 2019 to 15 August 2022 was carried out using PubMed, Embase, Cochrane, and Web of Science. R 4.2.1 software was used for meta-analysis of the published results. Pooled risk ratios and 95% confidence intervals (CIs) were calculated. RESULTS: We identified eight studies involving 7729 patients, of whom 5097 (66%) had severe COVID-19 and 2632 (34%) had mild or moderate symptoms. The positive rate of anti-type-I-IFN-autoantibodies in the total dataset was 5% (95% CI, 3-8%), but reached 10% (95% CI, 7-14%) in those with severe infection. The most common subtypes were anti-IFN-α (89%) and anti-IFN-ω (77%). The overall prevalence in male patients was 5% (95% CI, 4-6%), and in female patients 2% (95% CI, 1-3%). CONCLUSION: Severe COVID-19 is associated with high rates of autoantibodies against type-I-IFN and more so in male than female patients. |
format | Online Article Text |
id | pubmed-10005838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100058382023-03-13 Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis Wang, Xi Tang, Qi Li, Hongmei Jiang, Honglin Xu, Jing Bergquist, Robert Qin, Zhiqiang Int J Infect Dis Article OBJECTIVES: In this study, we aimed to study the rate of autoantibodies against type I interferons (IFNs) in patients with COVID-19 and analyze its dependence on severity of infection and some other variables. METHODS: A systemic review with the search terms: “COVID-19” or “SARS-CoV-2” and “autoantibodies” or “autoantibody” and “IFN” or “interferon” for the period 20 December 2019 to 15 August 2022 was carried out using PubMed, Embase, Cochrane, and Web of Science. R 4.2.1 software was used for meta-analysis of the published results. Pooled risk ratios and 95% confidence intervals (CIs) were calculated. RESULTS: We identified eight studies involving 7729 patients, of whom 5097 (66%) had severe COVID-19 and 2632 (34%) had mild or moderate symptoms. The positive rate of anti-type-I-IFN-autoantibodies in the total dataset was 5% (95% CI, 3-8%), but reached 10% (95% CI, 7-14%) in those with severe infection. The most common subtypes were anti-IFN-α (89%) and anti-IFN-ω (77%). The overall prevalence in male patients was 5% (95% CI, 4-6%), and in female patients 2% (95% CI, 1-3%). CONCLUSION: Severe COVID-19 is associated with high rates of autoantibodies against type-I-IFN and more so in male than female patients. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2023-05 2023-03-11 /pmc/articles/PMC10005838/ /pubmed/36907547 http://dx.doi.org/10.1016/j.ijid.2023.03.011 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wang, Xi Tang, Qi Li, Hongmei Jiang, Honglin Xu, Jing Bergquist, Robert Qin, Zhiqiang Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis |
title | Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis |
title_full | Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis |
title_fullStr | Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis |
title_full_unstemmed | Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis |
title_short | Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis |
title_sort | autoantibodies against type i interferons in covid-19 infection: a systematic review and meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005838/ https://www.ncbi.nlm.nih.gov/pubmed/36907547 http://dx.doi.org/10.1016/j.ijid.2023.03.011 |
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