Structural basis of a two-antibody cocktail exhibiting highly potent and broadly neutralizing activities against SARS-CoV-2 variants including diverse Omicron sublineages
Open accessPublished version of a preprint
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs), especially the latest Omicron, have exhibited severe antibody evasion. Broadly neutralizing antibodies with high potency against Omicron are urgently needed for understanding the working mechanisms and developing therapeutic agents. In this study, we characterized the previously reported F61, which was isolated from convalescent patients infected with prototype SARS-CoV-2, as a broadly neutralizing antibody against all VOCs including Omicron BA.1, BA.1.1, BA.2, BA.3 and BA.4 sublineages by utilizing antigen binding and cell infection assays. We also identified and characterized another broadly neutralizing antibody D2 with epitope distinct from that of F61. More importantly, we showed that a combination of F61 with D2 exhibited synergy in neutralization and protecting mice from SARS-CoV-2 Delta and Omicron BA.1 variants. Cryo-Electron Microscopy (Cryo-EM) structures of the spike-F61 and spike-D2 binary complexes revealed the distinct epitopes of F61 and D2 at atomic level and the structural basis for neutralization. Cryo-EM structure of the Omicron-spike-F61-D2 ternary complex provides further structural insights into the synergy between F61 and D2. These results collectively indicated F61 and F61-D2 cocktail as promising therapeutic antibodies for combating SARS-CoV-2 variants including diverse Omicron sublineages.
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
Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine
Baden, L. R., El Sahly, H. M., Essink, B., Kotloff, K., Frey, S., Novak, R., Diemert, D., Spector, S. A., Rouphael, N., Creech, C. B., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2035389 · Cited by 10,119 · see citing works
Antibody resistance of SARS-CoV-2 variants B.1.351 and B.1.1.7
Wang, P., Nair, M. S., Liu, L., Iketani, S., Luo, Y., Guo, Y., Wang, M., Yu, J., Zhang, B., Kwong, P. D., et al. (2021) · Nature · doi:10.1038/s41586-021-03398-2 · Cited by 2,312 · see citing works
Self-citationOmicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies
Cao, Y., Wang, J., Jian, F., Xiao, T., Song, W., Yisimayi, A., Huang, W., Li, Q., Wang, P., An, R., et al. (2022) · Nature · doi:10.1038/s41586-021-04385-3 · Cited by 2,006 · see citing works
Self-citationReduced 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
Human neutralizing antibodies elicited by SARS-CoV-2 infection
Ju, B., Zhang, Q., Ge, J., Wang, R., Sun, J., Ge, X., Yu, J., Shan, S., Zhou, B., Song, S., et al. (2020) · Nature · doi:10.1038/s41586-020-2380-z · Cited by 1,667 · see citing works
Self-citationStriking antibody evasion manifested by the Omicron variant of SARS-CoV-2
Liu, L., Iketani, S., Guo, Y., Chan, J. F.-W., Wang, M., Liu, L., Luo, Y., Chu, H., Huang, Y., Nair, M. S., et al. (2022) · Nature · doi:10.1038/s41586-021-04388-0 · Cited by 1,290 · see citing works
Self-citationThe biological and clinical significance of emerging SARS-CoV-2 variants
Tao, K., Tzou, P. L., Nouhin, J., Gupta, R. K., de Oliveira, T., Kosakovsky Pond, S. L., Fera, D., & Shafer, R. W. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00408-x · Cited by 1,009 · see citing works
SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses
Dejnirattisai, W., Huo, J., Zhou, D., Zahradník, J., Supasa, P., Liu, C., Duyvesteyn, H. M. E., Ginn, H. M., Mentzer, A. J., Tuekprakhon, A., et al. (2022) · Cell · doi:10.1016/j.cell.2021.12.046 · Cited by 930 · see citing works
Challen, R., Brooks-Pollock, E., Read, J. M., Dyson, L., Tsaneva-Atanasova, K., & Danon, L. (2021) · BMJ · doi:10.1136/bmj.n579 · Cited by 776 · see citing works
Wang, H., Zhang, Y., Huang, B., Deng, W., Quan, Y., Wang, W., Xu, W., Zhao, Y., Li, N., Zhang, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.008 · Cited by 748 · see citing works
Self-citationStructural basis of a shared antibody response to SARS-CoV-2
Yuan, M., Liu, H., Wu, N. C., Lee, C.-C. D., Zhu, X., Zhao, F., Huang, D., Yu, W., Hua, Y., Tien, H., et al. (2020) · Science · doi:10.1126/science.abd2321 · Cited by 589 · see citing works
Structural basis of SARS-CoV-2 Omicron immune evasion and receptor engagement
McCallum, M., Czudnochowski, N., Rosen, L. E., Zepeda, S. K., Bowen, J. E., Walls, A. C., Hauser, K., Joshi, A., Stewart, C., Dillen, J. R., et al. (2022) · Science · doi:10.1126/science.abn8652 · Cited by 535 · see citing works
Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variants
Yuan, M., Huang, D., Lee, C.-C. D., Wu, N. C., Jackson, A. M., Zhu, X., Liu, H., Peng, L., van Gils, M. J., Sanders, R. W., et al. (2021) · doi:10.1101/2021.02.16.430500 · Cited by 364 · see citing works
A Potent and Protective Human Neutralizing Antibody Against SARS-CoV-2 Variants
Shan, S., Mok, C. K., Zhang, S., Lan, J., Li, J., Yang, Z., Wang, R., Cheng, L., Fang, M., Aw, Z. Q., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.766821 · Cited by 21 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Guo, Y., Zhang, G., Yang, Q., Xie, X., Lu, Y., Cheng, X., Wang, H., Liang, J., Tang, J., Gao, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39267-x · Cited by 28 · see citing works
Self-citation
- Authors
- Li, X., Pan, Y., Yin, Q., Wang, Z., Shan, S., Zhang, L., Yu, J., Qu, Y., Sun, L., Gui, F., Lu, J., Jing, Z., Wu, W., Huang, T., Shi, X., Li, J., Li, X., Li, D., Wang, S., Yang, M., Zhang, L., Duan, K., Liang, M., Yang, X., & Wang, X.
- Affiliations
- Tsinghua University (CN)
- Chinese Center For Disease Control and Prevention (CN)
- Shenzhen Bay Laboratory (CN)
- China National Pharmaceutical Group Corporation (China) (CN)
- Corresponding author
- Liang, Mifang
- Yang, Xiaoming
- Wang, Xinquan
- ORCID
- Venue
- Cell Discovery
- Published
- 2022-09-08
- Volume
- 8
- Issue
- 1
- Pages
- 87-87
- ISSN
- 2056-5968 (ISSN-L)
- PMC
- PMC9453709
- OpenAlex
- W4295079698
- Cited by
- 20
- References
- 16
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 5 · 2023: 12 · 2022: 1
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Cell Discovery (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Funders
- National Natural Science Foundation of China (2021YFC2600200, 32171202)
- Tsinghua University
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
- Keywords
- SARS-CoV-2, Omicron subvariants, broadly neutralizing antibodies, antibody cocktail, D2, spike protein, epitope mapping, antibody synergy, neutralization mechanism, Omicron BA.1, Omicron BA.2, Omicron BA.4, Delta variant, therapeutic antibodies, cryo-EM structure
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
