Publication
Sensitivity of rapid antigen tests against SARS-CoV-2 Omicron and Delta variants
Downloadable Content
- Persistent URL
- Last modified
- 06/25/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2023-09-20
- Publisher
- American Society for Microbiology
- Publication Version
- Copyright Statement
- © 2023 Rao et al.
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 61
- Issue
- 10
- Start Page
- e00138
- End Page
- 23
- Grant/Funding Information
- This work was supported by the National Institute of Biomedical Imaging and Bioengineering under the Atlanta Center for Microsystems Engineered Point-of-Care Technologies (ACME POCT). This work was supported by the NIBIB at the NIH under awards 3U54 EB027690-03S1, 3U54 EB027690-03S2, and 3U54 EB027690-04S1, and the National Center for Advancing Translational Sciences of the NIH under award UL1TR002378.
- Abstract
- Rapid antigen tests (RATs) have become an invaluable tool for combating the COVID-19 pandemic. However, concerns have been raised regarding the ability of existing RATs to effectively detect emerging SARS-CoV-2 variants. We compared the performance of 10 commercially available, emergency use authorized RATs against the Delta and Omicron SARS-CoV-2 variants using both individual patient and serially diluted pooled clinical samples. The RATs exhibited lower sensitivity for Omicron samples when using PCR cycle threshold (CT) value (a rough proxy for RNA concentration) as the comparator. Interestingly, however, they exhibited similar sensitivity for Omicron and Delta samples when using quantitative antigen concentration as the comparator. We further found that the Omicron samples had lower ratios of antigen to RNA, which offers a potential explanation for the apparent lower sensitivity of RATs for that variant when using C T value as a reference. Our findings underscore the complexity in assessing RAT performance against emerging variants and highlight the need for ongoing evaluation in the face of changing population immunity and virus evolution.
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Epidemiology
- Health Sciences, Public Health
- Biology, Virology
- Biology, Microbiology
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