The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Neutralizing antibodies against the SARS-CoV-2 Omicron variant BA.1 following homologous and heterologous CoronaVac or BNT162b2 vaccination
Open accessAbstract
The Omicron variant is rapidly becoming the dominant SARS-CoV-2 virus circulating globally. It is important to define reductions in virus neutralizing activity in the serum of convalescent or vaccinated individuals to understand potential loss of protection against infection by Omicron. We previously established that a 50% plaque reduction neutralization antibody titer (PRNT50) ≥25.6 in our live virus assay corresponded to the threshold for 50% protection from infection against wild-type (WT) SARS-CoV-2. Here we show markedly reduced serum antibody titers against the Omicron variant (geometric mean titer (GMT) < 10) compared to WT virus 3–5 weeks after two doses of BNT162b2 (GMT = 218.8) or CoronaVac vaccine (GMT = 32.5). A BNT162b2 booster dose elicited Omicron PRNT50 titers ≥25.6 in 88% of individuals (22 of 25) who previously received 2 doses of BNT162b2 and 80% of individuals (24 of 30) who previously received CoronaVac. However, few (3%) previously infected individuals (1 of 30) or those vaccinated with three doses of CoronaVac (1 of 30) met this threshold. Our findings suggest that countries primarily using CoronaVac vaccines should consider messenger RNA vaccine boosters in response to the spread of Omicron. Studies evaluating the effectiveness of different vaccines against the Omicron variant are urgently needed. Serum neutralizing antibody titers against the SARS-CoV-2 Omicron variant markedly increase after a third dose of BNT162b2 vaccine in individuals who previously received either two doses of the BNT162b2 vaccine or two doses of the CoronaVac vaccine.
Overview
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
Verification
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.
Citations
Cites
Khoury, D. S., Cromer, D., Reynaldi, A., Schlub, T. E., Wheatley, A. K., Juno, J. A., Subbarao, K., Kent, S. J., Triccas, J. A., & Davenport, M. P. (2021) · Nature Medicine · doi:10.1038/s41591-021-01377-8 · Cited by 3,742
Waning Immune Humoral Response to BNT162b2 Covid-19 Vaccine over 6 Months
Levin, E. G., Lustig, Y., Cohen, C., Fluss, R., Indenbaum, V., Amit, S., Doolman, R., Asraf, K., Mendelson, E., Ziv, A., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2114583 · Cited by 1,703
Zhang, Y., Zeng, G., Pan, H., Li, C., Hu, Y., Chu, K., Han, W., Chen, Z., Tang, R., Yin, W., et al. (2021) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30843-4 · Cited by 1,504
Self-citationEnhanced isolation of SARS-CoV-2 by TMPRSS2-expressing cells
Matsuyama, S., Nao, N., Shirato, K., Kawase, M., Saito, S., Takayama, I., Nagata, N., Sekizuka, T., Katoh, H., Kato, F., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2002589117 · Cited by 1,411
Cele, S., Jackson, L., Khoury, D. S., Khan, K., Moyo-Gwete, T., Tegally, H., San, J. E., Cromer, D., Scheepers, C., Amoako, D., et al. (2021) · doi:10.1101/2021.12.08.21267417 · Cited by 1,333
Correlates of Protection Against SARS-CoV-2 in Rhesus Macaques
McMahan, K., Yu, J., Mercado, N. B., Loos, C., Tostanoski, L. H., Chandrashekar, A., Liu, J., Peter, L., Atyeo, C., Zhu, A., et al. (2021) · Nature · doi:10.1038/s41586-020-03041-6 · Cited by 1,068
Effectiveness of an Inactivated SARS-CoV-2 Vaccine in Chile
Jara, A., Undurraga, E. A., González, C., Paredes, F., Fontecilla, T., Jara, G., Pizarro, A., Acevedo, J., Leo, K., Leon, F., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2107715 · Cited by 866
Cromer, D., Steain, M., Reynaldi, A., Schlub, T. E., Wheatley, A. K., Juno, J. A., Kent, S. J., Triccas, J. A., Khoury, D. S., & Davenport, M. P. (2022) · The Lancet Microbe · doi:10.1016/s2666-5247(21)00267-6 · Cited by 590
Addetia, A., Crawford, K. H. D., Dingens, A., Zhu, H., Roychoudhury, P., Huang, M.-L., Jerome, K. R., Bloom, J. D., & Greninger, A. L. (2020) · Journal of Clinical Microbiology · doi:10.1128/jcm.02107-20 · Cited by 525
Plasma Neutralization of the SARS-CoV-2 Omicron Variant
Schmidt, F., Muecksch, F., Weisblum, Y., Da Silva, J., Bednarski, E., Cho, A., Wang, Z., Gaebler, C., Caskey, M., Nussenzweig, M. C., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmc2119641 · Cited by 432
Cited by
SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway
Willett, B. J., Grove, J., MacLean, O. A., Wilkie, C., De Lorenzo, G., Furnon, W., Cantoni, D., Scott, S., Logan, N., Ashraf, S., et al. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01143-7 · Cited by 785
Modeling transmission of SARS-CoV-2 Omicron in China
Cai, J., Deng, X., Yang, J., Sun, K., Liu, H., Chen, Z., Peng, C., Chen, X., Wu, Q., Zou, J., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01855-7 · Cited by 281
(2022) · doi:10.1038/s41598-022-22552-y · Cited by 48
Cheng, S. M., Mok, C. K. P., Chan, K. C., Ng, S. S., Lam, B. H., Luk, L. L., Ko, F. W., Chen, C., Yiu, K., Li, J. K., et al. (2022) · Eurosurveillance · doi:10.2807/1560-7917.es.2022.27.18.2200178 · Cited by 31
Self-citationZhou, R., Liu, N., Li, X., Peng, Q., Yiu, C.-K., Huang, H., Yang, D., Du, Z., Kwok, H.-Y., Au, K.-K., et al. (2023) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2022.100660 · Cited by 26
Metadata
- Authors
- Cheng, S. M. S., Mok, C. K. P., Leung, Y. W. Y., Ng, S. S., Chan, K. C. K., Ko, F. W., Chen, C., Yiu, K., Lam, B. H. S., Lau, E. H. Y., Chan, K. K. P., Luk, L. L. H., Li, J. K. C., Tsang, L. C. H., Poon, L. L. M., Hui, D. S. C., & Peiris, M.
- Venue
- Nature Medicine
- Published
- 2022-01-20
- Volume
- 28
- Issue
- 3
- Pages
- 486-489
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W4205240144
- Cited by
- 361
- References
- 18
- FWCI
- 40.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Neutralizing antibodies against the SARS-CoV-2 Omicron variant BA.1 following homologous and heterologous CoronaVac or BNT162b2 vaccination. https://app.cochat.ai/papers/10.1038/s41591-022-01704-7
- The paper
- Cheng, S. M. S., Mok, C. K. P., Leung, Y. W. Y., Ng, S. S., Chan, K. C. K., Ko, F. W., Chen, C., Yiu, K., Lam, B. H. S., Lau, E. H. Y., Chan, K. K. P., Luk, L. L. H., Li, J. K. C., Tsang, L. C. H., Poon, L. L. M., Hui, D. S. C., & Peiris, M. (2022). Neutralizing antibodies against the SARS-CoV-2 Omicron variant BA.1 following homologous and heterologous CoronaVac or BNT162b2 vaccination. Nature Medicine. https://doi.org/10.1038/s41591-022-01704-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.