Simultaneous monitoring of HIV viral load and screening of SARS-CoV-2 employing a low-cost RT-qPCR test workflow

  1. Gaurav K. Gulati
  2. Nuttada Panpradist
  3. Samuel W. A. Stewart
  4. Ingrid A. Beck
  5. Ceejay Boyce
  6. Amy K. Oreskovic
  7. Claudia García-Morales
  8. Santiago Avila-Ríos
  9. Peter D. Han
  10. Gustavo Reyes-Terán
  11. Lea M. Starita
  12. Lisa M. Frenkel
  13. Barry R. Lutz
  14. James J. Lai

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Abstract

This new workflow enables co-extraction of HIV and SARS-CoV2 RNAs from clinical pooled plasma/nasal secretion samples that allows sensitive detection of SARS-CoV-2 and HIV infections in the patients-living with HIV.

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  1. Version published to 10.1039/d2an00405d
  2. ScreenIT

    SciScore for 10.1101/2021.08.18.21256786: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Informed consent was obtained from adult participants and parents or permanent legal guardians of participant children.
    IRB: Participants from CIENI/INER gave written consent for the use of remnant plasma samples, approved by the Institutional Review Board of the National Institute of Respiratory Diseases (Project code: E02-17)
    Sex as a biological variablenot detected.
    RandomizationWe randomly selected at least 30 specimens to allow estimation of VL.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    HIV VL was measured in all the selected samples using the Abbott m2000 system (Chicago, IL) and known to contain near or above 1000 copies/mL HIV RNA.
    Abbott
    suggested: (Abbott, RRID:SCR_010477)

    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.
    • 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.

  3. Version published to 10.1101/2021.08.18.21256786v1 on medRxiv