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Serology characteristics of SARS-CoV-2 infection after exposure and post-symptom onset

Open access
Lou, Bin, Li, Ting-Dong, Zheng, Shu-Fa, Su, Ying-Ying, Li, Zhi-Yong, Liu, Wei, Yu, Fei, Ge, Sheng-Xiang, Zou, Qian-Da, Yuan, Quan, Lin, Sha, Hong, Cong-Ming, Yao, Xiang-Yang, Zhang, Xue-Jie, Wu, Ding-Hui, Zhou, Guo-Liang, Hou, Wang-Heng, Li, Ting-Ting, Zhang, Ya-Li, Zhang, Shi-Yin, Fan, Jian, Zhang, Jun, Xia, Ning-Shao, Chen, Yu·2020·European Respiratory Journal

Published version of a preprint

Abstract

Background: Timely diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a prerequisite for treatment and prevention. The serology characteristics and complement diagnosis value of the antibody test to RNA test need to be demonstrated. Method: Serial sera of 80 patients with PCR-confirmed coronavirus disease 2019 (COVID-19) were collected at the First Affiliated Hospital of Zhejiang University, Hangzhou, China. Total antibody (Ab), IgM and IgG antibodies against SARS-CoV-2 were detected, and the antibody dynamics during the infection were described. Results: The seroconversion rates for Ab, IgM and IgG were 98.8%, 93.8% and 93.8%, respectively. The first detectible serology marker was Ab, followed by IgM and IgG, with a median seroconversion time of 15, 18 and 20 days post exposure (d.p.e.) or 9, 10 and 12 days post onset (d.p.o.), respectively. The antibody levels increased rapidly beginning at 6 d.p.o. and were accompanied by a decline in viral load. For patients in the early stage of illness (0–7 d.p.o), Ab showed the highest sensitivity (64.1%) compared with IgM and IgG (33.3% for both; p<0.001). The sensitivities of Ab, IgM and IgG increased to 100%, 96.7% and 93.3%, respectively, 2 weeks later. When the same antibody type was detected, no significant difference was observed between enzyme-linked immunosorbent assays and other forms of immunoassays. Conclusions: A typical acute antibody response is induced during SARS-CoV-2 infection. Serology testing provides an important complement to RNA testing in the later stages of illness for pathogenic-specific diagnosis and helpful information to evaluate the adapted immunity status of patients.

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Research works printed but not linked: 13

  1. Cao W . Clinical features and laboratory inspection of novel coronavirus pneumonia (COVID-19) in Xiangyang, Hubei. medRxiv 2020; preprint [https://doi.org/10.1101/2020.02.23.20026963]. · DOI
  2. Ai J-W , Zhang H-C , Xu T , et al. Optimizing diagnostic strategy for novel coronavirus pneumonia, a multi-center study in Eastern China. medRxiv 2020; preprint [https://doi.org/10.1101/2020.02.13.20022673]. · DOI
  3. Lin C , Xiang J , Yan M , et al. Comparison of throat swabs and sputum specimens for viral nucleic acid detection in 52 cases of novel coronavirus (SARS-Cov-2) infected pneumonia (COVID-19). medRxiv 2020; preprint [https://doi.org/10.1101/2020.02.21.20026187]. · doi:10.1101/2020.02.21.20026187
  4. Zhang, 2020, Molecular and serological investigation of 2019-nCoV infected patients: implication of multiple shedding routes, Emerg Microbes Infect, 9, 386, 10.1080/22221751.2020.1729071 · DOI · Paper page
  5. Shen, 2020, Recent advances and perspectives of nucleic acid detection for coronavirus, J Pharm Anal, 10, 97, 10.1016/j.jpha.2020.02.010 · DOI · Paper page
  6. To, 2020, Consistent detection of 2019 novel coronavirus in saliva, Clin Infect Dis, 71, 841, 10.1093/cid/ciaa149 · DOI · Paper page
  7. 10.1128/CDLI.11.4.665-668.2004 · DOI
  8. 10.1111/j.1440-1843.2006.00783.x · DOI · Paper page
  9. Hu, 2020, Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China, Sci China Life Sci, 63, 706, 10.1007/s11427-020-1661-4 · DOI · Paper page
  10. Lassaunière R , Frische A , Harboe ZB , et al. Evaluation of nine commercial SARS-CoV-2 immunoassays. medRxiv 2020; preprint [https://doi.org/10.1101/2020.04.09.20056325]. · DOI · Paper page
  11. 10.1016/S1473-3099(20)30196-1 · DOI · Paper page
  12. Li Z , Yi Y , Luo X , et al. Development and clinical application of a rapid IgM-IgG combined antibody test for SARS-CoV-2 infection diagnosis. J Med Virol 2020; in press [https://doi.org/10.1002/jmv.25727]. · DOI · Paper page
  13. Guo L , Ren L , Yang S , et al. Profiling early humoral response to diagnose novel coronavirus disease (COVID-19). Clin Infect Dis 2020; in press [https://doi.org/10.1093/cid/ciaa310]. · DOI · Paper page

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Metadata

Authors
Lou, B., Li, T.-D., Zheng, S.-F., Su, Y.-Y., Li, Z.-Y., Liu, W., Yu, F., Ge, S.-X., Zou, Q.-D., Yuan, Q., Lin, S., Hong, C.-M., Yao, X.-Y., Zhang, X.-J., Wu, D.-H., Zhou, G.-L., Hou, W.-H., Li, T.-T., Zhang, Y.-L., Zhang, S.-Y., Fan, J., Zhang, J., Xia, N.-S., & Chen, Y.
Venue
European Respiratory Journal
Published
2020-05-19
Volume
56
Issue
2
Pages
2000763
ISSN
  • 0903-1936 (ISSN-L)
  • 1399-3003
OpenAlex
W3024972049
Cited by
472
References
5
FWCI
12.92
Type
journal article
Language
en
Open access
hybrid
Funders
  • China National Mega-Projects for Infectious Diseases (2017ZX10103008)
  • the Science and Technology Major Project of Xiamen (3502Z2020YJ01)

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CoChat. (2026). Citation check: Serology characteristics of SARS-CoV-2 infection after exposure and post-symptom onset. https://app.cochat.ai/papers/10.1183/13993003.00763-2020
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Lou, B., Li, T.-D., Zheng, S.-F., Su, Y.-Y., Li, Z.-Y., Liu, W., Yu, F., Ge, S.-X., Zou, Q.-D., Yuan, Q., Lin, S., Hong, C.-M., Yao, X.-Y., Zhang, X.-J., Wu, D.-H., Zhou, G.-L., Hou, W.-H., Li, T.-T., Zhang, Y.-L., . . . Chen, Y. (2020). Serology characteristics of SARS-CoV-2 infection after exposure and post-symptom onset. European Respiratory Journal. https://doi.org/10.1183/13993003.00763-2020

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.