Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail
Open accessAbstract
An antibody cocktail against SARS-CoV-2: There is an urgent focus on antibodies that target the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral spike and prevent the virus from entering host cells. Hansen et al. generated a large panel of antibodies against the spike protein from humanized mice and recovered patients. From this panel, they identified several neutralizing antibodies, including pairs that do not compete for binding to the receptor binding domain. Baum et al. focused in on four of these antibodies. All four are effective against known spike variants. However, by growing a pseudovirus that expresses the spike in the presence of individual antibodies, the authors were able to select for spike mutants resistant to that antibody. In contrast, escape mutants are not selected when pseudovirus is grown in the presence of pairs of antibodies that either do not compete or only partially compete for binding to the RBD. Such a pair might be used in a therapeutic antibody cocktail. Science , this issue p. 1010 , p. 1014
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Numerous neutralizing anti-RBD monoclonal antibodies have been characterized, the most potent of which block the RBD-ACE2 interaction.
“Numerous neutralizing anti-RBD monoclonal antibodies (mAbs) have been characterized, the most potent of which block the RBD-ACE2 interaction (16, 17, 22–24, 32–37).”
From mRNA vaccination boosts cross-variant neutralizing antibodies elicited by SARS-CoV-2 infection (2021) · cites this paper as [34]
REGN-10987 was included as a positive control during experimental evaluation.
“During experimental evaluation, we also included REGN-10987 (44), an ultrapotent antibody approved for emergency use authorization, as the positive control.”
From Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization (2022) · cites this paper as [44]
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BackgroundInfluentialMolecular determinants and mechanism for antibody cocktail preventing SARS-CoV-2 escape
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- Authors
- Hansen, J., Baum, A., Pascal, K. E., Russo, V., Giordano, S., Wloga, E., Fulton, B. O., Yan, Y., Koon, K., Patel, K., Chung, K. M., Hermann, A., Ullman, E., Cruz, J., Rafique, A., Huang, T., Fairhurst, J., Libertiny, C., Malbec, M., Lee, W.-Y., Welsh, R., Farr, G., Pennington, S., Deshpande, D., Cheng, J., Watty, A., Bouffard, P., Babb, R., Levenkova, N., Chen, C., Zhang, B., Romero Hernandez, A., Saotome, K., Zhou, Y., Franklin, M., Sivapalasingam, S., Lye, D. C., Weston, S., Logue, J., Haupt, R., Frieman, M., Chen, G., Olson, W., Murphy, A. J., Stahl, N., Yancopoulos, G. D., & Kyratsous, C. A.
- Affiliations
- Regeneron (United States) (US)
- Regeneron Pharmaceuticals, Inc., Tarrytown, NY 10591, USA.
- Tan Tock Seng Hospital (SG)
- University of Maryland, Baltimore (US)
- Corresponding author
- Hansen, Johanna
- Baum, Alina
- Kyratsous, Christos A.
- ORCID
- Hansen, Johanna
- Baum, Alina
- Pascal, Kristen E.
- Russo, Vincenzo
- Giordano, Stephanie
- Wloga, Elzbieta
- Fulton, Benjamin O.
- Yan, Ying
- Koon, Katrina
- Patel, Krunal
- Chung, Kyung Min
- Hermann, Aynur
- Ullman, Erica
- Cruz, Jonathan
- Rafique, Ashique
- Huang, Tammy
- Fairhurst, Jeanette
- Libertiny, Christen
- Malbec, Marine
- Lee, Wen-yi
- Welsh, Richard
- Farr, Glen
- Deshpande, Dipali
- Bouffard, Pascal
- Levenkova, Natasha
- Chen, Calvin
- Zhang, Bojie
- Saotome, Kei
- Zhou, Yi
- Franklin, Matthew
- Sivapalasingam, Sumathi
- Lye, David Chien
- Weston, Stuart
- Logue, James
- Haupt, Robert
- Frieman, Matthew
- Olson, William
- Murphy, Andrew J.
- Stahl, Neil
- Kyratsous, Christos A.
- Venue
- Science
- Published
- 2020-08-21
- Volume
- 369
- Issue
- 6506
- Pages
- 1010-1014
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC7299284
- OpenAlex
- W3034202401
- Cited by
- 1,210
- References
- 33
- Citations by year
- 2026: 34 · 2025: 62 · 2024: 95 · 2023: 146 · 2022: 317 · 2021: 424 · 2020: 130
- FWCI
- 33.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Science (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Biomedical Advanced Research and Development Authority (HHSO100201700020C)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- SARS-CoV-2, neutralizing antibodies, antibody cocktail, humanized mice, spike protein, receptor binding domain, antibody escape mutants, therapeutic antibodies, antibody structure
- MeSH terms
- Betacoronavirus, Broadly Neutralizing Antibodies, Receptors, Coronavirus, Angiotensin-Converting Enzyme 2, COVID-19, SARS-CoV-2, COVID-19 Serotherapy, Adolescent, Adult, Animals, Antibodies, Viral, Antibody Affinity, Antibody-Dependent Cell Cytotoxicity, Epitopes, Binding Sites, Antibody, Cell Line, Humans, Immunization, Passive, Peptidyl-Dipeptidase A, Middle Aged, Models, Molecular, Neutralization Tests, Pneumonia, Viral, Receptors, Virus, Coronavirus Infections, Severe acute respiratory syndrome-related coronavirus, Mice, Protein Interaction Domains and Motifs, Young Adult, Antibodies, Neutralizing, Cytophagocytosis, Pandemics, Spike Glycoprotein, Coronavirus
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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