Evaluation of Binding and Neutralizing Antibodies for Inactivated SARS-CoV-2 Vaccine Immunization

Author:

Zhao Heng1ORCID,Jiang Guorun1,Li Cong1,Che Yanchun1,Long Runxiang1,Pu Jing1,Zhang Ying1,Li Dandan1,Liao Yun1,Yu Li1,Zhao Yong1,Yuan Mei1,Li Yadong1,Fan Shengtao1,Liu Longding1ORCID,Li Qihan1

Affiliation:

1. Key Laboratory of Systemic Innovative Research on Virus Vaccine, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China

Abstract

The circulating severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variant presents an ongoing challenge for surveillance and detection. It is important to establish an assay for SARS-CoV-2 antibodies in vaccinated individuals. Numerous studies have demonstrated that binding antibodies (such as S-IgG and N-IgG) and neutralizing antibodies (Nabs) can be detected in vaccinated individuals. However, it is still unclear how to evaluate the consistency and correlation between binding antibodies and Nabs induced by inactivated SARS-CoV-2 vaccines. In this study, serum samples from humans, rhesus macaques, and hamsters immunized with inactivated SARS-CoV-2 vaccines were analyzed for S-IgG, N-IgG, and Nabs. The results showed that the titer and seroconversion rate of S-IgG were significantly higher than those of N-IgG. The correlation between S-IgG and Nabs was higher compared to that of N-IgG. Based on this analysis, we further investigated the titer thresholds of S-IgG and N-IgG in predicting the seroconversion of Nabs. According to the threshold, we can quickly determine the positive and negative effects of the SARS-CoV-2 variant neutralizing antibody in individuals. These findings suggest that the S-IgG antibody is a better supplement to and confirmation of SARS-CoV-2 vaccine immunization.

Funder

Yunnan Province Technology Innovation Talent Training Object Project

Basic Research-Special Project of Yunnan Province

Key Research and Development Plan of Yunnan Province

Technology Plan-Biological Medicine Special Project of Yunnan Province

Publisher

MDPI AG

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