Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1784642851047473152 |
---|---|
author | Comerlato, Juliana Comerlato, Carolina Baldisserotto Sant’Anna, Fernando Hayashi Bessel, Marina Abreu, Celina Monteiro Wendland, Eliana Márcia |
author_facet | Comerlato, Juliana Comerlato, Carolina Baldisserotto Sant’Anna, Fernando Hayashi Bessel, Marina Abreu, Celina Monteiro Wendland, Eliana Márcia |
author_sort | Comerlato, Juliana |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8803346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Instituto Oswaldo Cruz, Ministério da Saúde |
record_format | MEDLINE/PubMed |
spelling | pubmed-88033462022-02-10 Open-source real-time quantitative RT-PCR-based on a RNA standard for the assessment of SARS-CoV-2 viral load Comerlato, Juliana Comerlato, Carolina Baldisserotto Sant’Anna, Fernando Hayashi Bessel, Marina Abreu, Celina Monteiro Wendland, Eliana Márcia Mem Inst Oswaldo Cruz Research Article 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. Instituto Oswaldo Cruz, Ministério da Saúde 2022-01-28 /pmc/articles/PMC8803346/ /pubmed/35107520 http://dx.doi.org/10.1590/0074-02760210237 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Research Article Comerlato, Juliana Comerlato, Carolina Baldisserotto Sant’Anna, Fernando Hayashi Bessel, Marina Abreu, Celina Monteiro Wendland, Eliana Márcia Open-source real-time quantitative RT-PCR-based on a RNA standard for the assessment of SARS-CoV-2 viral load |
title | Open-source real-time quantitative RT-PCR-based on a RNA standard for the assessment of SARS-CoV-2 viral load |
title_full | Open-source real-time quantitative RT-PCR-based on a RNA standard for the assessment of SARS-CoV-2 viral load |
title_fullStr | Open-source real-time quantitative RT-PCR-based on a RNA standard for the assessment of SARS-CoV-2 viral load |
title_full_unstemmed | Open-source real-time quantitative RT-PCR-based on a RNA standard for the assessment of SARS-CoV-2 viral load |
title_short | Open-source real-time quantitative RT-PCR-based on a RNA standard for the assessment of SARS-CoV-2 viral load |
title_sort | open-source real-time quantitative rt-pcr-based on a rna standard for the assessment of sars-cov-2 viral load |
topic | Research Article |
url | 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 |
work_keys_str_mv | AT comerlatojuliana opensourcerealtimequantitativertpcrbasedonarnastandardfortheassessmentofsarscov2viralload AT comerlatocarolinabaldisserotto opensourcerealtimequantitativertpcrbasedonarnastandardfortheassessmentofsarscov2viralload AT santannafernandohayashi opensourcerealtimequantitativertpcrbasedonarnastandardfortheassessmentofsarscov2viralload AT besselmarina opensourcerealtimequantitativertpcrbasedonarnastandardfortheassessmentofsarscov2viralload AT abreucelinamonteiro opensourcerealtimequantitativertpcrbasedonarnastandardfortheassessmentofsarscov2viralload AT wendlandelianamarcia opensourcerealtimequantitativertpcrbasedonarnastandardfortheassessmentofsarscov2viralload |