Analysis, quantification, and visualization of RT-LAMP technique for detection of COVID-19

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Abstract

Background

SARS-Cov-2 is a new virus that caused an epidemic disease, COVID-19. According to the world health organization, detecting the patients/carriers is by the far the most important action to prevent the pandemic. Recently, the loop-mediated isothermal amplification (LAMP) technique has become more popular due to the easy handling of a one-step kit used for the detection of many diseases than RT-PCR-based techniques.

methods

Herein, we used the RT-LAMP technique so as to detect COVID-19. To this end, 40 paired-samples of patients and healthy people had been collected and tested by RT-PCR for N and E genes of SARS-CoV-2. The RT-LAMP test has been performed on samples for the RdRp gene. The sensitivity and specificity of tests have been determined.

Results

The testing results are consistent with the conventional RT-qPCR. Additionally, we also showed that a one-step process without RNA extraction is feasible to achieve RNA amplification directly from a sample.

Conclusion

We confirmed that RT-LAMP is a rapid, simple, and sensitive method that can be used as a large-screening method, particularly in regional hospitals with limited access to high-technologies.

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  1. SciScore for 10.1101/2021.07.15.21260528: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: The study received ethical clearance from the ethical committee of Tarbiat Modares University, Tehran, Iran.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: The samples were also run at 1% agarose gel for further validation.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    To this end, the LAMP products were extracted from agarose gel using the QIAquick Gel Extraction Kit (Qiagen, Germany)
    LAMP
    suggested: (LAMP, RRID:SCR_001740)

    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 found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    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.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.


    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.