A Streamlined Approach to Rapidly Detect SARS-CoV-2 Infection Avoiding RNA Extraction: Workflow Validation
Joint Authors
Mio, Catia
Cifù, Adriana
Marzinotto, Stefania
Caldana, Chiara
Cattarossi, Silvia
Cmet, Sara
Cussigh, Annarosa
Martinella, Romina
Zucco, Jessica
Verardo, Roberto
Schneider, Claudio
Marcon, Barbara
Zampieri, Stefania
Pipan, Corrado
Curcio, Francesco
Bergamin, Natascha
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-09
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has rapidly spread worldwide from the beginning of 2020.
The presence of viral RNA in samples by nucleic acid (NA) molecular analysis is the only method available to diagnose COVID-19 disease and to assess patients’ viral load.
Since the demand for laboratory reagents has increased, there has been a worldwide shortage of RNA extraction kits.
We, therefore, developed a fast and cost-effective viral genome isolation method that, combined with quantitative RT-PCR assay, detects SARS-CoV-2 RNA in patient samples.
The method relies on the addition of Proteinase K followed by a controlled heat-shock incubation and, then, E gene evaluation by RT-qPCR.
It was validated for sensitivity, specificity, linearity, reproducibility, and precision.
It detects as low as 10 viral copies/sample, is rapid, and has been characterized in 60 COVID-19-infected patients.
Compared to automated extraction methods, our pretreatment guarantees the same positivity rate with the advantage of shortening the time of the analysis and reducing its cost.
This is a rapid workflow meant to aid the healthcare system in the rapid identification of infected patients, such as during a pathogen-related outbreak.
For its intrinsic characteristics, this workflow is suitable for large-scale screenings.
American Psychological Association (APA)
Mio, Catia& Cifù, Adriana& Marzinotto, Stefania& Bergamin, Natascha& Caldana, Chiara& Cattarossi, Silvia…[et al.]. 2020. A Streamlined Approach to Rapidly Detect SARS-CoV-2 Infection Avoiding RNA Extraction: Workflow Validation. Disease Markers،Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1154154
Modern Language Association (MLA)
Mio, Catia…[et al.]. A Streamlined Approach to Rapidly Detect SARS-CoV-2 Infection Avoiding RNA Extraction: Workflow Validation. Disease Markers No. 2020 (2020), pp.1-5.
https://search.emarefa.net/detail/BIM-1154154
American Medical Association (AMA)
Mio, Catia& Cifù, Adriana& Marzinotto, Stefania& Bergamin, Natascha& Caldana, Chiara& Cattarossi, Silvia…[et al.]. A Streamlined Approach to Rapidly Detect SARS-CoV-2 Infection Avoiding RNA Extraction: Workflow Validation. Disease Markers. 2020. Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1154154
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1154154