Nanobody repertoire generated against the spike protein of ancestral SARS-CoV-2 remains efficacious against the rapidly evolving virus
Open accessPreprint — published as 10.7554/elife.89423.3 · Paper page
Abstract
Abstract To date, all major modes of monoclonal antibody therapy targeting SARS-CoV-2 have lost significant efficacy against the latest circulating variants. As SARS-CoV-2 omicron sublineages account for over 90% of COVID-19 infections, evasion of immune responses generated by vaccination or exposure to previous variants poses a significant challenge. A compelling new therapeutic strategy against SARS-CoV-2 is that of single domain antibodies, termed nanobodies, which address certain limitations of monoclonal antibodies. Here we demonstrate that our high-affinity nanobody repertoire, generated against wild-type SARS-CoV-2 spike protein (Mast, Fridy et al. 2021), remains effective against variants of concern, including omicron BA.4/BA.5; a subset is predicted to counter resistance in emerging XBB and BQ.1.1 sublineages. Furthermore, we reveal the synergistic potential of nanobody cocktails in neutralizing emerging variants. Our study highlights the power of nanobody technology as a versatile therapeutic and diagnostic tool to combat rapidly evolving infectious diseases such as SARS-CoV-2.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine
Polack, F. P., Thomas, S. J., Kitchin, N., Absalon, J., Gurtman, A., Lockhart, S., Perez, J. L., Pérez Marc, G., Moreira, E. D., Zerbini, C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2034577 · Cited by 14,592 · see citing works
An mRNA Vaccine against SARS-CoV-2 — Preliminary Report
Jackson, L. A., Anderson, E. J., Rouphael, N. G., Roberts, P. C., Makhene, M., Coler, R. N., McCullough, M. P., Chappell, J. D., Denison, M. R., Stevens, L. J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2022483 · Cited by 3,237 · see citing works
Reduced sensitivity of SARS-CoV-2 variant Delta to antibody neutralization
Planas, D., Veyer, D., Baidaliuk, A., Staropoli, I., Guivel-Benhassine, F., Rajah, M. M., Planchais, C., Porrot, F., Robillard, N., Puech, J., et al. (2021) · Nature · doi:10.1038/s41586-021-03777-9 · Cited by 1,992 · see citing works
N-terminal domain antigenic mapping reveals a site of vulnerability for SARS-CoV-2
McCallum, M., De Marco, A., Lempp, F. A., Tortorici, M. A., Pinto, D., Walls, A. C., Beltramello, M., Chen, A., Liu, Z., Zatta, F., et al. (2021) · Cell · doi:10.1016/j.cell.2021.03.028 · Cited by 901 · see citing works
Prospective mapping of viral mutations that escape antibodies used to treat COVID-19
Starr, T. N., Greaney, A. J., Addetia, A., Hannon, W. W., Choudhary, M. C., Dingens, A. S., Li, J. Z., & Bloom, J. D. (2021) · Science · doi:10.1126/science.abf9302 · Cited by 743 · see citing works
Starr, T. N., Greaney, A. J., Dingens, A. S., & Bloom, J. D. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100255 · Cited by 470 · see citing works
Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies
Greaney, A. J., Starr, T. N., Barnes, C. O., Weisblum, Y., Schmidt, F., Caskey, M., Gaebler, C., Cho, A., Agudelo, M., Finkin, S., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24435-8 · Cited by 433 · see citing works
Flagged first, then by citations
- Authors
- Ketaren, N. E., Mast, F. D., Fridy, P. C., Olivier, J. P., Sanyal, T., Sali, A., Chait, B. T., Rout, M. P., & Aitchison, J. D.
- Affiliations
- Rockefeller University (US)
- Seattle Children's Research Institute (US)
- QB3 (US)
- Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, Byers Hall, 1700 4th Street, Suite 503B, University of California
- University of Washington (US)
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2024-04-15
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W4394821273
- Cited by
- 0
- References
- 8
- Type
- posted content
- Language
- en
- Open access
- gold
- doi.org
- Locations
- eLife (acceptedVersion, cc-by)
- Funders
- G. Harold and Leila Y. Mathers Foundation
- Robertson Therapeutic Development Fund
- Jain Foundation
- National Institutes of Health (P41GM109824, R01GM083960)
- American Lung Association (923055)
- 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
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Keywords
- nanobodies, SARS-CoV-2 spike protein, Omicron variant, BA.4/BA.5, BQ.1.1, neutralizing antibodies, COVID-19 treatment
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
