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Cited by 185

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Fc-engineered antibody therapeutics with improved anti-SARS-CoV-2 efficacy

Open access
Yamin, Rachel, Jones, Andrew T., Hoffmann, Hans-Heinrich, Schäfer, Alexandra, Kao, Kevin S., Francis, Rebecca L., Sheahan, Timothy P., Baric, Ralph S., Rice, Charles M., Ravetch, Jeffrey V., Bournazos, Stylianos·2021·Nature

Abstract

Monoclonal antibodies with neutralizing activity against SARS-CoV-2 have demonstrated clinical benefits in cases of mild-to-moderate SARS-CoV-2 infection, substantially reducing the risk for hospitalization and severe disease1–4. Treatment generally requires the administration of high doses of these monoclonal antibodies and has limited efficacy in preventing disease complications or mortality among hospitalized patients with COVID-195. Here we report the development and evaluation of anti-SARS-CoV-2 monoclonal antibodies with optimized Fc domains that show superior potency for prevention or treatment of COVID-19. Using several animal disease models of COVID-196,7, we demonstrate that selective engagement of activating Fcγ receptors results in improved efficacy in both preventing and treating disease-induced weight loss and mortality, significantly reducing the dose required to confer full protection against SARS-CoV-2 challenge and for treatment of pre-infected animals. Our results highlight the importance of Fcγ receptor pathways in driving antibody-mediated antiviral immunity and exclude the possibility of pathogenic or disease-enhancing effects of Fcγ receptor engagement of anti-SARS-CoV-2 antibodies upon infection. These findings have important implications for the development of Fc-engineered monoclonal antibodies with optimal Fc-effector function and improved clinical efficacy against COVID-19 disease. Optimization of monoclonal antibodies against SARS-CoV-2 for enhanced Fc-effector function increase their effectiveness for prevention and treatment of COVID-19 in multiple animal models of SARS-CoV-2 infection.

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Metadata

Authors
Yamin, R., Jones, A. T., Hoffmann, H.-H., Schäfer, A., Kao, K. S., Francis, R. L., Sheahan, T. P., Baric, R. S., Rice, C. M., Ravetch, J. V., & Bournazos, S.
Venue
Nature
Published
2021-09-21
Volume
599
Issue
7885
Pages
465-470
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W3199974613
Cited by
185
References
13
FWCI
10.96
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Fc-engineered antibody therapeutics with improved anti-SARS-CoV-2 efficacy. https://app.cochat.ai/papers/10.1038/s41586-021-04017-w
The paper
Yamin, R., Jones, A. T., Hoffmann, H.-H., Schäfer, A., Kao, K. S., Francis, R. L., Sheahan, T. P., Baric, R. S., Rice, C. M., Ravetch, J. V., & Bournazos, S. (2021). Fc-engineered antibody therapeutics with improved anti-SARS-CoV-2 efficacy. Nature. https://doi.org/10.1038/s41586-021-04017-w

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.