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Open-source real-time quantitative RT-PCR-based on a RNA standard for the assessment of SARS-CoV-2 viral load

BACKGROUND: Detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) target genes by molecular methods has been chosen as the main approach to identify individuals with Coronavirus disease 2019 (COVID-19) infection. OBJECTIVES: In this study, we developed an open-source RNA standard...

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Detalles Bibliográficos
Autores principales: Comerlato, Juliana, Comerlato, Carolina Baldisserotto, Sant’Anna, Fernando Hayashi, Bessel, Marina, Abreu, Celina Monteiro, Wendland, Eliana Márcia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Oswaldo Cruz, Ministério da Saúde 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803346/
https://www.ncbi.nlm.nih.gov/pubmed/35107520
http://dx.doi.org/10.1590/0074-02760210237
Descripción
Sumario:BACKGROUND: Detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) target genes by molecular methods has been chosen as the main approach to identify individuals with Coronavirus disease 2019 (COVID-19) infection. OBJECTIVES: In this study, we developed an open-source RNA standard-based real-time quantitative RT-PCR (RT-qPCR) assay for quantitative diagnostics of SARS-CoV-2 from nasopharynx, oropharynx, saliva and plasma samples. METHODS AND FINDINGS: We evaluated three SARS-CoV-2 target genes and selected the RNA-dependent RNA polymerase (RdRp) gene, given its better performance. To improve the efficiency of the assay, a primer gradient containing 25 primers forward and reverse concentration combinations was performed. The forward and reverse primer pairs with 400 nM and 500 nM concentrations, respectively, showed the highest sensitivity. The LOD(95%) was ~60 copies per reaction. From the four biological matrices tested, none of them interfered with the viral load measurement. Comparison with the Allplex(TM) 2019-nCoV assay (Seegene) demonstrated that our test presents 90% sensitivity and 100% specificity. MAIN CONCLUSIONS: We developed an efficient molecular method able to measure absolute SARS-CoV-2 viral load with high replicability, sensitivity and specificity in different clinical samples.