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

Disease Markers

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

Diseases

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