Cargando…
The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19
BACKGROUND: SARS-CoV-2 is a novel coronavirus first recognized in late December 2019 that causes coronavirus disease 19 (COVID-19). Due to the highly contagious nature of SARS-CoV-2, it has developed into a global pandemic in just a few months. Antibody testing is an effective method to supplement t...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887538/ https://www.ncbi.nlm.nih.gov/pubmed/33596826 http://dx.doi.org/10.1186/s12865-021-00404-0 |
_version_ | 1783652003375742976 |
---|---|
author | Qin, Xuzhen Shen, Jun Dai, Erhei Li, Haolong Tang, Guodong Zhang, Lixia Hou, Xin Lu, Minya Wu, Xian Duan, Simeng Zhang, Jingjia Tsoi, Man-Fung Jiang, Ping Li, Yongzhe |
author_facet | Qin, Xuzhen Shen, Jun Dai, Erhei Li, Haolong Tang, Guodong Zhang, Lixia Hou, Xin Lu, Minya Wu, Xian Duan, Simeng Zhang, Jingjia Tsoi, Man-Fung Jiang, Ping Li, Yongzhe |
author_sort | Qin, Xuzhen |
collection | PubMed |
description | BACKGROUND: SARS-CoV-2 is a novel coronavirus first recognized in late December 2019 that causes coronavirus disease 19 (COVID-19). Due to the highly contagious nature of SARS-CoV-2, it has developed into a global pandemic in just a few months. Antibody testing is an effective method to supplement the diagnosis of COVID-19. However, multicentre studies are lacking to support the understanding of the seroprevalence and kinetics of SARS-CoV-2 antibodies in COVID-19 epidemic regions. METHOD: A multicentre cross-sectional study of suspected and confirmed patients from 4 epidemic cities in China and a cohort study of consecutive follow-up patients were conducted from 29/01/2020 to 12/03/2020. IgM and IgG antibodies elicited by SARS-CoV-2 were tested by a chemiluminescence assay. Clinical information, including basic demographic data, clinical classification, and time interval from onset to sampling, was collected from each centre. RESULTS: A total of 571 patients were enrolled in the cross-sectional study, including 235 COVID-19 patients and 336 suspected patients, each with 91.9%:2.1% seroprevalence of SARS-CoV-2 IgG and 92.3%:5.4% seroprevalence of SARS-CoV-2 IgM. The seroprevalence of SARS-CoV-2 IgM and IgG in COVID-19 patients was over 70% less than 7 days after symptom onset. Thirty COVID-19 patients were enrolled in the cohort study and followed up for 20 days. The peak concentrations of IgM and IgG were reached on the 10th and 20th days, respectively, after symptom onset. The seroprevalence of COVID-19 IgG and IgM increased along with the clinical classification and treatment time delay. CONCLUSION: We demonstrated the kinetics of IgM and IgG SARS-CoV-2 antibodies in COVID-19 patients and the association between clinical classification and antibodies, which will contribute to the interpretation of IgM and IgG SARS-CoV-2 antibody tests and in predicting the outcomes of patients with COVID-19. |
format | Online Article Text |
id | pubmed-7887538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78875382021-02-17 The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19 Qin, Xuzhen Shen, Jun Dai, Erhei Li, Haolong Tang, Guodong Zhang, Lixia Hou, Xin Lu, Minya Wu, Xian Duan, Simeng Zhang, Jingjia Tsoi, Man-Fung Jiang, Ping Li, Yongzhe BMC Immunol Research Article BACKGROUND: SARS-CoV-2 is a novel coronavirus first recognized in late December 2019 that causes coronavirus disease 19 (COVID-19). Due to the highly contagious nature of SARS-CoV-2, it has developed into a global pandemic in just a few months. Antibody testing is an effective method to supplement the diagnosis of COVID-19. However, multicentre studies are lacking to support the understanding of the seroprevalence and kinetics of SARS-CoV-2 antibodies in COVID-19 epidemic regions. METHOD: A multicentre cross-sectional study of suspected and confirmed patients from 4 epidemic cities in China and a cohort study of consecutive follow-up patients were conducted from 29/01/2020 to 12/03/2020. IgM and IgG antibodies elicited by SARS-CoV-2 were tested by a chemiluminescence assay. Clinical information, including basic demographic data, clinical classification, and time interval from onset to sampling, was collected from each centre. RESULTS: A total of 571 patients were enrolled in the cross-sectional study, including 235 COVID-19 patients and 336 suspected patients, each with 91.9%:2.1% seroprevalence of SARS-CoV-2 IgG and 92.3%:5.4% seroprevalence of SARS-CoV-2 IgM. The seroprevalence of SARS-CoV-2 IgM and IgG in COVID-19 patients was over 70% less than 7 days after symptom onset. Thirty COVID-19 patients were enrolled in the cohort study and followed up for 20 days. The peak concentrations of IgM and IgG were reached on the 10th and 20th days, respectively, after symptom onset. The seroprevalence of COVID-19 IgG and IgM increased along with the clinical classification and treatment time delay. CONCLUSION: We demonstrated the kinetics of IgM and IgG SARS-CoV-2 antibodies in COVID-19 patients and the association between clinical classification and antibodies, which will contribute to the interpretation of IgM and IgG SARS-CoV-2 antibody tests and in predicting the outcomes of patients with COVID-19. BioMed Central 2021-02-17 /pmc/articles/PMC7887538/ /pubmed/33596826 http://dx.doi.org/10.1186/s12865-021-00404-0 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Qin, Xuzhen Shen, Jun Dai, Erhei Li, Haolong Tang, Guodong Zhang, Lixia Hou, Xin Lu, Minya Wu, Xian Duan, Simeng Zhang, Jingjia Tsoi, Man-Fung Jiang, Ping Li, Yongzhe The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19 |
title | The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19 |
title_full | The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19 |
title_fullStr | The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19 |
title_full_unstemmed | The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19 |
title_short | The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19 |
title_sort | seroprevalence and kinetics of igm and igg in the progression of covid-19 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887538/ https://www.ncbi.nlm.nih.gov/pubmed/33596826 http://dx.doi.org/10.1186/s12865-021-00404-0 |
work_keys_str_mv | AT qinxuzhen theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT shenjun theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT daierhei theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT lihaolong theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT tangguodong theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT zhanglixia theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT houxin theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT luminya theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT wuxian theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT duansimeng theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT zhangjingjia theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT tsoimanfung theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT jiangping theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT liyongzhe theseroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT qinxuzhen seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT shenjun seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT daierhei seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT lihaolong seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT tangguodong seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT zhanglixia seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT houxin seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT luminya seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT wuxian seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT duansimeng seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT zhangjingjia seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT tsoimanfung seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT jiangping seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 AT liyongzhe seroprevalenceandkineticsofigmandiggintheprogressionofcovid19 |