๐ Evaluation of Nucleocapsid and Spike Protein-based ELISAs for detecting antibodies against SARS-CoV-2.
Background: At present, PCR-based nucleic acid detection cannot meet the demands for coronavirus infectious disease (COVID-19) diagnosis. Methods: 214 confirmed COVID-19 patients who were hospitalized in the General Hospital of Central Theater Command of the People's Liberation Army between January 18 and February 26, 2020, were recruited. Two Enzyme-Linked Immunosorbent Assay (ELISA) kits based on recombinant SARS-CoV-2 nucleocapsid protein (rN) and spike protein (rS) were used for detecting IgM and IgG antibodies, and their diagnostic feasibility was evaluated. Results: Among the 214 patients, 146 (68.2%) and 150 (70.1%) were successfully diagnosed with the rN-based IgM and IgG ELISAs, respectively; 165 (77.1%) and 159 (74.3%) were successfully diagnosed with the rS-based IgM and IgG ELISAs, respectively. The positive rates of the rN-based and rS-based ELISAs for antibody (IgM and/or IgG) detection were 80.4% and 82.2%, respectively. The sensitivity of the rS-based ELISA for IgM detection was significantly higher than that of the rN-based ELISA. We observed an increase in the positive rate for IgM and IgG with an increasing number of days post-disease onset (d.p.o.), but the positive rate of IgM dropped after 35 d.p.o. The positive rate of rN-based and rS-based IgM and IgG ELISAs was less than 60% during the early stage of the illness 0-10 d.p.o., and that of IgM and IgG was obviously increased after 10 d.p.o. Conclusions: ELISA has a high sensitivity, especially for the detection of serum samples from patients after 10 d.p.o, it can be an important supplementary method for COVID-19 diagnosis.
keywords
๐ serum samples (106)
๐ spike protein (353)
๐ significantly higher (104)
๐ infectious disease (312)
๐ nucleocapsid protein (162)
๐ nucleic acid (139)
author
๐ค Liu, Wanbing
๐ค Liu, Lei
๐ค Kou, Guomei
๐ค Zheng, Yaqiong
๐ค Ding, Yinjuan
๐ค Ni, Wenxu
๐ค Wang, Qiongshu
๐ค Tan, Li
๐ค Wu, Wanlei
๐ค Tang, Shi
๐ค Xiong, Zhou
๐ค Zheng, Shangen
year
โฐ 2020
journal
๐ J Clin Microbiol
issn
๐
volume
number
page
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0
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