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Increasing SARS-CoV-2 RT-qPCR testing capacity by sample pooling

Authors :
Diego García-Martínez de Artola
Agustín Valenzuela-Fernández
Rafaela González-Montelongo
Oscar Díez-Gil
Helena Gil-Campesino
Carlos Flores
Julia Alcoba-Florez
Laura Ciuffreda
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

ObjectivesLimited testing capacity has characterized the ongoing COVID-19 pandemic in Spain, hampering a timely control of outbreaks and the possibilities to reduce the escalation of community transmissions. Here we investigated the potential of using pooling of samples followed by one-step retrotranscription and quantitative PCR (RT-qPCR) to increase SARS-CoV-2 testing capacity.MethodsWe first evaluated different sample pooling (1:5, 1:10 and 1:15) prior to RNA extractions followed by standard RT-qPCR for SARS-CoV-2/COVID-19 diagnosis. The pool size achieving reproducible results in independent tests was then used for assessing nasopharyngeal samples in a tertiary hospital during August 2020.ResultsWe found that pool size of five samples achieved the highest sensitivity compared to pool sizes of 10 and 15, showing a mean (± SD) Ct shift of 3.5 ± 2.2 between the pooled test and positive samples in the pool. We then used a pool size of five to test a total of 895 pools (4,475 prospective samples) using two different RT-qPCR kits available at that time. The Real Accurate Quadruplex corona-plus PCR Kit (PathoFinder) reported the lowest mean Ct (± SD) shift (2.2 ± 2.4) among the pool and the individual samples. The strategy allows detecting individual samples in the positive pools with Cts in the range of 16.7-39.4.ConclusionsWe found that pools of five samples combined with RT-qPCR solutions helped to increase SARS-CoV-2 testing capacity with minimal loss of sensitivity compared to that resulting from testing the samples independently.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........98ff05208f7f83b0d1b3a491471cffea
Full Text :
https://doi.org/10.1101/2020.10.24.20218685