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Fast SARS-CoV-2 detection protocol based on RNA precipitation and RT-qPCR in nasopharyngeal swab samples
Xabier Guruceaga; Amanda Sierra; Daniel Marino; Izortze Santin; Jon Ander Nieto-Garai; Jose Ramon Bilbao; Maier Lorizate; Patricia Aspichueta; coBIG (COVID19 Basque Inter-institutional Group); Ugo Mayor.
Afiliação
  • Xabier Guruceaga; University of the Basque Country UPV/EHU
  • Amanda Sierra; Achucarro Basque Center for Neuroscience
  • Daniel Marino; University of the Basque Country UPV/EHU
  • Izortze Santin; University of the Basque Country UPV/EHU
  • Jon Ander Nieto-Garai; University of the Basque Country UPV/EHU
  • Jose Ramon Bilbao; University of the Basque Country UPV/EHU
  • Maier Lorizate; University of the Basque Country UPV/EHU
  • Patricia Aspichueta; University of the Basque Country EHU/UPV
  • coBIG (COVID19 Basque Inter-institutional Group);
  • Ugo Mayor; University of the Basque Country EHU/UPV
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20081307
ABSTRACT
The SARS-CoV-2 pandemic has evolved far more aggressively in countries lacking a robust testing strategy to identify infected individuals. Given the global demand for fast and reliable diagnosis to determine the carrier individuals, a stock-out scenario for a number of essential reagents/kits used along the diagnostic process has been foreseen by many organizations. Having identified the RNA extraction step as one of the key bottlenecks, we tested several alternatives that avoid the use of commercial kits for this step. The analysis showed that 2-propanol precipitation of the viral RNA, followed by one-step RT-qPCR results in a sensitivity and specificity comparable to that provided currently by automatized systems such as the COBAS 6800 system. Therefore, this simple protocol allows SARS-CoV-2 testing independently of commercial kit providers in a time and cost-effective manner. It can be readily implemented in research and/or diagnostic laboratories worldwide, provided that patient confidentiality and researcher safety are ensured. Scaling up the testing capabilities of hospitals and research facilities will identify larger numbers of infected individuals to paint a clear picture of the COVID-19 prevalence, a pre-requisite for informed policy decision making.
Licença
cc_by_nc
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / Estudo observacional Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / Estudo observacional Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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