One-pot Detection of COVID-19 with Real-time Reverse-transcription Loop-mediated Isothermal Amplification (RT-LAMP) Assay and Visual RT-LAMP Assay

  1. Deguo Wang

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Abstract

Background

Rapid and reliable diagnostic assays were critical for prevention and control of the coronavirus pneumonia caused by COVID-19.

Objective

This study was to establish one-pot real-time reverse-transcription loop-mediated isothermal amplification (RT-LAMP) assay and one-pot visual RT-LAMP assay for the detection of COVID-19.

Methods

Six specific LAMP primers targeting the N gene of COVID-19 were designed, the RT-LAMP reaction system was optimized with plasmid pUC57 containing N gene sequence, the detection limit was determined with a serial dilution of the plasmid pUC57 containing N gene sequence, and the one-pot real-time RT-LAMP assay and one-pot visual RT-LAMP assay for the detection of COVID-19 were established.

Results

Our results showed that the one-pot RT-LAMP assays can detect COVID-19 with a limit of ≥ 6 copies per μ l −1 of pUC57 containing N gene sequence.

Conclusion

This study provides rapid, reliable and sensitive tools for facilitating preliminary and cost-effective prevention and control of COVID-19.

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  1. ScreenIT

    SciScore for 10.1101/2020.04.21.052530: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • No funding statement was detected.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  2. Version published to 10.1101/2020.04.21.052530v1 on bioRxiv