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. 2020 Nov:88:106861.
doi: 10.1016/j.intimp.2020.106861. Epub 2020 Jul 30.

Serological detection of 2019-nCoV respond to the epidemic: A useful complement to nucleic acid testing

Jin Zhang  1 , Xiaoming Zhang  2 , Jianhua Liu  1 , Yuan Ban  3 , Na Li  1 , Yunhai Wu  3 , Yong Liu  1 , Rui Ye  4 , Jinyang Liu  5 , Xinghai Li  5 , Luping Li  2 , Xiaosong Qin  1 , Rui Zheng  6
Affiliations

Serological detection of 2019-nCoV respond to the epidemic: A useful complement to nucleic acid testing

Jin Zhang et al. Int Immunopharmacol. 2020 Nov.

Abstract

Corona Virus Disease 2019 (COVID-19) has spread rapidly to more than 215 countries, with over 11.91 million reported cases and more than 540,000 deaths. Rapid diagnosis remains a bottleneck for containing the epidemic. We used an automated chemiluminescent immunoassay to detect serum IgM and IgG antibodies to the 2019-nCoV in 742 subjects, so as to observe the dynamic process of antibody production in COVID-19 disease and seroepidemiology in different populations. Patients with COVID-19 were reactive (positive) for specific antibodies within 3-15 days after onset of symptoms. Specific IgM and IgG levels increased with the progression of the disease. The areas under the receiver operating characteristic curves for IgM and IgG were 0.984 and 1.000, respectively. This antibody detection assay had good sensitivity and specificity. The understanding of the dynamic serological changes of COVID-19 patients and the seroepidemiological situation of the population will be helpful to further control the epidemic of COVID-19.

Keywords: Antibody; Coronavirus; Nucleic acid; Serology.

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Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Dynamics of antibody production in 9 patients. The black line parallel to the x-axis represents the positive threshold value, 10.0 AU/mL; The x-axis represents the days since the disease morbidity.
Fig. 2
Fig. 2
The anti-2019-nCoV IgM and IgG antibodies distribution in different groups. Each data point represents the antibody level of the participants, the short horizontal line represents the median antibody level of the group, and * represents the difference between the two groups is statistically significant, P < 0.05.
Fig. 3
Fig. 3
ROC curves of anti-2019-nCoV IgM and IgG in the diagnosis of COVID-19.
See this image and copyright information in PMC

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