Repurposing a SARS-CoV-2 surveillance program for infectious respiratory diseases in a university setting
- PMID: 37727605
- PMCID: PMC10505707
- DOI: 10.3389/fpubh.2023.1168551
Repurposing a SARS-CoV-2 surveillance program for infectious respiratory diseases in a university setting
Abstract
Standard multiplex RT-qPCR diagnostic tests use nasopharyngeal swabs to simultaneously detect a variety of infections, but commercially available kits can be expensive and have limited throughput. Previously, we clinically validated a saliva-based RT-qPCR diagnostic test for SARS-CoV-2 to provide low-cost testing with high throughput and low turnaround time on a university campus. Here, we developed a respiratory diagnostic panel to detect SARS-CoV-2, influenza A and B within a single saliva sample. When compared to clinical results, our assay demonstrated 93.5% accuracy for influenza A samples (43/46 concordant results) with no effect on SARS-CoV-2 accuracy or limit of detection. In addition, our assay can detect simulated coinfections at varying virus concentrations generated from synthetic RNA controls. We also confirmed the stability of influenza A in saliva at room temperature for up to 5 days. The cost of the assay is lower than standard nasopharyngeal swab respiratory panel tests as saliva collection does not require specialized swabs or trained clinical personnel. By repurposing the lab infrastructure developed for the COVID-19 pandemic, our multiplex assay can be used to provide expanded access to respiratory disease diagnostics, especially for community, school, or university testing applications where saliva testing was effectively utilized during the COVID-19 pandemic.
Keywords: SARS-CoV-2; flu; influenza; saliva; surveillance testing; virus.
Copyright © 2023 King, Ham, Smothers, Lee, Bowie, Teetsel, Peng and Dean.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
-
- Troeger CE, Blacker BF, Khalil IA, Zimsen SRM, Albertson SB, Abate D, et al. . Mortality, morbidity, and hospitalisations due to influenza lower respiratory tract infections, 2017: an analysis for the Global Burden of Disease Study 2017. Lancet Respir Med. (2019) 7:69–89. doi: 10.1016/S2213-2600(18)30496-X, PMID: - DOI - PMC - PubMed
-
- American College Health Association . Undergraduate student reference group data report fall 2019. Silver Spring, MD: American College Health Association; (2020).
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