Implementation of an efficient SARS-CoV-2 specimen pooling strategy for high throughput diagnostic testing

Abstract The rapid identification and isolation of infected individuals remains a key strategy for controlling the spread of SARS-CoV-2. Frequent testing of populations to detect infection early in asymptomatic or presymptomatic individuals can be a powerful tool for intercepting transmission, espec...

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Autores principales: Lavanya Singh, Ugochukwu J. Anyaneji, Wilfred Ndifon, Neil Turok, Stacey A. Mattison, Richard Lessells, Ilya Sinayskiy, Emmanuel J. San, Houriiyah Tegally, Shaun Barnett, Trevor Lorimer, Francesco Petruccione, Tulio de Oliveira
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/00d2faa17b5f49e284e8c2228bbcd2de
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spelling oai:doaj.org-article:00d2faa17b5f49e284e8c2228bbcd2de2021-12-02T19:12:35ZImplementation of an efficient SARS-CoV-2 specimen pooling strategy for high throughput diagnostic testing10.1038/s41598-021-96934-z2045-2322https://doaj.org/article/00d2faa17b5f49e284e8c2228bbcd2de2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96934-zhttps://doaj.org/toc/2045-2322Abstract The rapid identification and isolation of infected individuals remains a key strategy for controlling the spread of SARS-CoV-2. Frequent testing of populations to detect infection early in asymptomatic or presymptomatic individuals can be a powerful tool for intercepting transmission, especially when the viral prevalence is low. However, RT-PCR testing—the gold standard of SARS-CoV-2 diagnosis—is expensive, making regular testing of every individual unfeasible. Sample pooling is one approach to lowering costs. By combining samples and testing them in groups the number of tests required is reduced, substantially lowering costs. Here we report on the implementation of pooling strategies using 3-d and 4-d hypercubes to test a professional sports team in South Africa. We have shown that infected samples can be reliably detected in groups of 27 and 81, with minimal loss of assay sensitivity for samples with individual Ct values of up to 32. We report on the automation of sample pooling, using a liquid-handling robot and an automated web interface to identify positive samples. We conclude that hypercube pooling allows for the reliable RT-PCR detection of SARS-CoV-2 infection, at significantly lower costs than lateral flow antigen (LFA) tests.Lavanya SinghUgochukwu J. AnyanejiWilfred NdifonNeil TurokStacey A. MattisonRichard LessellsIlya SinayskiyEmmanuel J. SanHouriiyah TegallyShaun BarnettTrevor LorimerFrancesco PetruccioneTulio de OliveiraNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Lavanya Singh
Ugochukwu J. Anyaneji
Wilfred Ndifon
Neil Turok
Stacey A. Mattison
Richard Lessells
Ilya Sinayskiy
Emmanuel J. San
Houriiyah Tegally
Shaun Barnett
Trevor Lorimer
Francesco Petruccione
Tulio de Oliveira
Implementation of an efficient SARS-CoV-2 specimen pooling strategy for high throughput diagnostic testing
description Abstract The rapid identification and isolation of infected individuals remains a key strategy for controlling the spread of SARS-CoV-2. Frequent testing of populations to detect infection early in asymptomatic or presymptomatic individuals can be a powerful tool for intercepting transmission, especially when the viral prevalence is low. However, RT-PCR testing—the gold standard of SARS-CoV-2 diagnosis—is expensive, making regular testing of every individual unfeasible. Sample pooling is one approach to lowering costs. By combining samples and testing them in groups the number of tests required is reduced, substantially lowering costs. Here we report on the implementation of pooling strategies using 3-d and 4-d hypercubes to test a professional sports team in South Africa. We have shown that infected samples can be reliably detected in groups of 27 and 81, with minimal loss of assay sensitivity for samples with individual Ct values of up to 32. We report on the automation of sample pooling, using a liquid-handling robot and an automated web interface to identify positive samples. We conclude that hypercube pooling allows for the reliable RT-PCR detection of SARS-CoV-2 infection, at significantly lower costs than lateral flow antigen (LFA) tests.
format article
author Lavanya Singh
Ugochukwu J. Anyaneji
Wilfred Ndifon
Neil Turok
Stacey A. Mattison
Richard Lessells
Ilya Sinayskiy
Emmanuel J. San
Houriiyah Tegally
Shaun Barnett
Trevor Lorimer
Francesco Petruccione
Tulio de Oliveira
author_facet Lavanya Singh
Ugochukwu J. Anyaneji
Wilfred Ndifon
Neil Turok
Stacey A. Mattison
Richard Lessells
Ilya Sinayskiy
Emmanuel J. San
Houriiyah Tegally
Shaun Barnett
Trevor Lorimer
Francesco Petruccione
Tulio de Oliveira
author_sort Lavanya Singh
title Implementation of an efficient SARS-CoV-2 specimen pooling strategy for high throughput diagnostic testing
title_short Implementation of an efficient SARS-CoV-2 specimen pooling strategy for high throughput diagnostic testing
title_full Implementation of an efficient SARS-CoV-2 specimen pooling strategy for high throughput diagnostic testing
title_fullStr Implementation of an efficient SARS-CoV-2 specimen pooling strategy for high throughput diagnostic testing
title_full_unstemmed Implementation of an efficient SARS-CoV-2 specimen pooling strategy for high throughput diagnostic testing
title_sort implementation of an efficient sars-cov-2 specimen pooling strategy for high throughput diagnostic testing
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/00d2faa17b5f49e284e8c2228bbcd2de
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