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A sensitive and affordable multiplex RT-qPCR assay for SARS-CoV-2 detection
Martin A M Reijns1, Louise Thompson2, Juan Carlos Acosta3
1MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, United Kingdom.
Plos Biology
|December 15, 2020
Summary
A new, affordable multiplex assay for detecting SARS-CoV-2 (the virus that causes COVID-19) offers comparable performance to commercial tests. This cost-effective method, utilizing quantitative reverse transcription PCR (RT-qPCR), can improve accessibility for widespread diagnostic testing.
Area of Science:
- Molecular Biology
- Virology
- Infectious Diseases
Background:
- The COVID-19 pandemic necessitates sensitive, specific, and affordable diagnostic tests for SARS-CoV-2.
- Current RT-qPCR assays are sensitive but often expensive and face supply chain limitations.
- There is a need for cost-effective diagnostic solutions, especially for low-resource settings.
Purpose of the Study:
- To develop and validate a multiplex RT-qPCR assay for SARS-CoV-2 detection.
- To assess the assay's performance against commercial standards.
- To evaluate the assay's cost-effectiveness and potential for high-volume testing.
Main Methods:
- Development of a multiplex assay targeting SARS-CoV-2, including human (RPP30) and viral (PhHV-1) controls.
- Validation of the assay's performance compared to existing commercial kits.
- Analysis of sample variability and correlation between human and viral nucleic acid levels.
Main Results:
- The developed multiplex assay demonstrated performance comparable to commercial RT-qPCR kits.
- The assay achieved comparable results at a significantly reduced cost (approximately 10% of commercial assays).
- A statistically significant correlation was found between human nucleic acid levels and SARS-CoV-2 detection, highlighting the utility of the human control.
Conclusions:
- A robust and cost-effective multiplex RT-qPCR assay for SARS-CoV-2 has been established.
- The assay's affordability and inclusion of controls can enhance diagnostic capacity, particularly in resource-limited regions.
- The human control provides a quantitative measure of sample quality, potentially reducing false-negative rates.

