In vitro and in vivo functions of SARS-CoV-2 infection-enhancing and neutralizing antibodies
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2021
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SARS-CoV-2-neutralizing antibodies (NAbs) protect against COVID-19. A concern regarding SARS-CoV-2 antibodies is whether they mediate disease enhancement. Here, we isolated NAbs against the receptor-binding domain (RBD) or the N-terminal domain (NTD) of SARS-CoV-2 spike from individuals with acute or convalescent SARS-CoV-2 or a history of SARS-CoV infection. Cryo-electron microscopy of RBD and NTD antibodies demonstrated function-specific modes of binding. Select RBD NAbs also demonstrated Fc receptor-γ (FcγR)-mediated enhancement of virus infection in vitro, while five non-neutralizing NTD antibodies mediated FcγR-independent in vitro infection enhancement. However, both types of infection-enhancing antibodies protected from SARS-CoV-2 replication in monkeys and mice. Three of 46 monkeys infused with enhancing antibodies had higher lung inflammation scores compared to controls. One monkey had alveolar edema and elevated bronchoalveolar lavage inflammatory cytokines. Thus, while in vitro antibody-enhanced infection does not necessarily herald enhanced infection in vivo, increased lung inflammation can rarely occur in SARS-CoV-2 antibody-infused macaques.
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Li, Dapeng, Robert J Edwards, Kartik Manne, David R Martinez, Alexandra Schäfer, S Munir Alam, Kevin Wiehe, Xiaozhi Lu, et al. (2021). In vitro and in vivo functions of SARS-CoV-2 infection-enhancing and neutralizing antibodies. Cell, 184(16). pp. 4203–4219. 10.1016/j.cell.2021.06.021 Retrieved from https://hdl.handle.net/10161/25004.
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Kevin J Wiehe
Dr. Kevin Wiehe is the director of research, director of computational biology and co-director of the Quantitative Research Division at the Duke Human Vaccine Institute (DHVI). He has over 20 years of experience in the field of computational biology and has expertise in computational structural biology, computational genomics, and computational immunology.
For the past decade, he has applied his unique background to developing computational approaches for studying the B cell response in both the infection and vaccination settings. He has utilized his expertise in computational structural biology to structurally model and characterize HIV and influenza antibody recognition. Dr. Wiehe has utilized his expertise in computational genomics and computational immunology to develop software to analyze large scale next generation sequencing data of antibody repertoires as well as develop computational programs for estimating antibody mutation probabilities. Dr. Wiehe has shown that low probability antibody mutations can act as rate-limiting steps in the development of broadly neutralizing antibodies in HIV.
Through his PhD, postdoc work, and now his roles at DHVI, Dr. Wiehe always approaches the analysis and the scientific discovery process from a structural biology perspective. Supporting the Duke Center for HIV Structural Biology (DCHSB), Dr. Wiehe will conduct antibody sequence analysis for antibodies used in computational and molecular modeling analyses conducted.
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