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Anti-Spike, anti-Nucleocapsid and neutralizing antibodies in SARS-CoV-2 hospitalized patients and asymptomatic carriers (preprint)
medrxiv; 2020.
Preprint
in English
| medRxiv | ID: ppzbmed-10.1101.2020.05.12.20098236
ABSTRACT
ObjectiveThe objective of this study was to monitor the anti-SARS-CoV-2 antibody response in infected patients. MethodsIn order to assess the time of seroconversion, we used 151 samples from 30 COVID-19 inpatients and monitored the detection kinetics of anti-S1, anti-S2, anti-RBD and anti-N antibodies with in-house ELISAs. We also monitored the presence of neutralizing antibodies in these samples as well as 25 asymptomatic carrier samples using retroviral particles pseudotyped with the spike of the SARS-CoV-2. ResultsWe observed that specific antibodies were detectable in all inpatients two weeks post-symptom onset. The detection of the SARS-CoV-2 Nucleocapsid and RBD was more sensitive than the detection of the S1 or S2 subunits. Neutralizing antibodies reached a plateau two weeks post-symptom onset and then declined in the majority of inpatients. Furthermore, neutralizing antibodies were undetectable in 56% of asymptomatic carriers. ConclusionsOur results raise questions concerning the role played by neutralizing antibodies in COVID-19 cure and protection against secondary infection. They also suggest that induction of neutralizing antibodies is not the only strategy to adopt for the development of a vaccine. Finally, they imply that anti-SARS-CoV-2 neutralizing antibodies should be titrated to optimize convalescent plasma therapy. HighlightsO_LISpecific antibodies are detectable in 100% COVID-19 inpatients two weeks post-symptom onset. C_LIO_LIThe detection of the SARS-CoV-2 Nucleocapsid and Receptor Binding Domain is more sensitive than the detection of the S1 or S2 subunits. C_LIO_LINeutralizing antibodies reach a plateau two weeks post-symptom onset and then decline in the majority of inpatients. C_LIO_LINeutralizing antibodies are undetectable in the majority of asymptomatic carriers. C_LI
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Collection:
Preprints
Database:
medRxiv
Language:
English
Year:
2020
Document Type:
Preprint
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