The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Measuring immunity to SARS-CoV-2 infection: comparing assays and animal models
Open accessAbstract
The rapid scale-up of research on coronavirus disease 2019 (COVID-19) has spawned a large number of potential vaccines and immunotherapies, accompanied by a commensurately large number of in vitro assays and in vivo models to measure their effectiveness. These assays broadly have the same end-goal - to predict the clinical efficacy of prophylactic and therapeutic interventions in humans. However, the apparent potency of different interventions can vary considerably between assays and animal models, leading to very different predictions of clinical efficacy. Complete harmonization of experimental methods may be intractable at the current pace of research. However, here we analyse a selection of existing assays for measuring antibody-mediated virus neutralization and animal models of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and provide a framework for comparing results between studies and reconciling observed differences in the effects of interventions. Finally, we propose how we might optimize these assays for better comparison of results from in vitro and animal studies to accelerate progress.
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“although animal models may not recapitulate all of the features of human infection49, they suggest the importance of looking beyond neutralizing antibodies for additional mechanisms of immune protection.”
From Prospects for durable immune control of SARS-CoV-2 and prevention of reinfection (2021) · cites this paper as [49]
In the citing paper
“We focused primarily on assays using live SARS-CoV-2 virus (to reduce the potential variability that might arise from different pseudoviral constructs23), with the exception of the NVX-CoV2373 vaccine, for which only data from neutralisation assays using a spike-expressing pseudovirus were available.”
From Neutralising antibody titres as predictors of protection against SARS-CoV-2 variants and the impact of boosting: a meta-analysis (2022) · cites this paper as [23]
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Citations
Cites
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
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Remdesivir for the Treatment of Covid-19 — Final Report
Beigel, J. H., Tomashek, K. M., Dodd, L. E., Mehta, A. K., Zingman, B. S., Kalil, A. C., Hohmann, E., Chu, H. Y., Luetkemeyer, A., Kline, S., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2007764 · Cited by 7,267
SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients
Zou, L., Ruan, F., Huang, M.-X., Liang, L.-J., Huang, H., Hong, Z.-S., Yu, J.-X., Kang, M., Song, Y.-C., Xia, J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001737 · Cited by 4,590
The trinity of COVID-19: immunity, inflammation and intervention
Tay, M. Z., Poh, C. M., Rénia, L., MacAry, P. A., & Ng, L. F. P. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0311-8 · Cited by 4,360
Temporal dynamics in viral shedding and transmissibility of COVID-19
He, X., Lau, E. H. Y., Wu, P., Deng, X., Wang, J., Hao, X., Lau, Y. C., Wong, J. Y., Guan, Y., Tan, X., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0869-5 · Cited by 4,300
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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
Self-citationCromer, 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
Self-citationAfkhami, S., D’Agostino, M. R., Zhang, A., Stacey, H. D., Marzok, A., Kang, A., Singh, R., Bavananthasivam, J., Ye, G., Luo, X., et al. (2022) · Cell · doi:10.1016/j.cell.2022.02.005 · Cited by 309
“Single-dose intranasal immunization with ChAdvectored trivalent COVID-19 vaccine protects against lethal infection by SARS-CoV-2 variants of concern We next assessed vaccine-induced protection against wild-type ancestral and VOC strains of SARS-CoV-2 in highly susceptible K18-hACE2 mouse model (Khoury et al., 2020).”
Prospects for durable immune control of SARS-CoV-2 and prevention of reinfection
Cromer, D., Juno, J. A., Khoury, D., Reynaldi, A., Wheatley, A. K., Kent, S. J., & Davenport, M. P. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-021-00550-x · Cited by 265
Self-citationCOVID-19 vaccination: The road ahead
Altmann, D. M., & Boyton, R. J. (2022) · Science · doi:10.1126/science.abn1755 · Cited by 198
Metadata
- Authors
- Khoury, D. S., Wheatley, A. K., Ramuta, M. D., Reynaldi, A., Cromer, D., Subbarao, K., O’Connor, D. H., Kent, S. J., & Davenport, M. P.
- Affiliations
- UNSW Sydney (AU)
- The University of Melbourne (AU)
- University of Wisconsin–Madison (US)
- Corresponding author
- Davenport, Miles P.
- ORCID
- Venue
- Nature Reviews Immunology
- Published
- 2020-11-02
- Volume
- 20
- Issue
- 12
- Pages
- 727-738
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- PMC
- PMC7605490
- OpenAlex
- W3096510866
- Cited by
- 115
- References
- 83
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 13 · 2023: 18 · 2022: 38 · 2021: 35
- FWCI
- 1.08
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature reviews. Immunology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion)
- Funders
- Wisconsin Alumni Research Foundation
- World Health Organization (SARS-CoV-2, COVID-19)
- Australian Government
- National Institutes of Health (COVID-19, R24OD017850, P51OD011106)
- Medical Research Council (COVID-19)
- National Health and Medical Research Council (1136322, 1173027, 1173433, 1173528, 1177174, 1141921)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Virus Infections Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Keywords
- SARS-CoV-2, COVID-19 pandemic, neutralizing antibody assay, assay harmonization, immunotherapy efficacy
- MeSH terms
- COVID-19, COVID-19 Serological Testing, COVID-19 Drug Treatment, Animals, Disease Models, Animal, Humans, Immunoassay, Neutralization Tests, Pre-Exposure Prophylaxis
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