The Human Nose Organoid Respiratory Virus Model: an Ex Vivo Human Challenge Model To Study Respiratory Syncytial Virus (RSV) and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Pathogenesis and Evaluate Therapeutics

  1. Anubama Rajan
  2. Ashley Morgan Weaver
  3. Gina Marie Aloisio
  4. Joseph Jelinski
  5. Hannah L. Johnson
  6. Susan F. Venable
  7. Trevor McBride
  8. Letisha Aideyan
  9. Felipe-Andrés Piedra
  10. Xunyan Ye
  11. Ernestina Melicoff-Portillo
  12. Malli Rama Kanthi Yerramilli
  13. Xi-Lei Zeng
  14. Michael A. Mancini
  15. Fabio Stossi
  16. Anthony W. Maresso
  17. Shalaka A. Kotkar
  18. Mary K. Estes
  19. Sarah Blutt
  20. Vasanthi Avadhanula
  21. Pedro A. Piedra

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Abstract

Preclinical models that recapitulate aspects of human airway disease are essential for the advancement of novel therapeutics and vaccines. Here, we report a versatile airway organoid model, the human nose organoid (HNO), that recapitulates the complex interactions between the host and virus.

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  1. Version published to 10.1128/mbio.03511-21
  2. ScreenIT

    SciScore for 10.1101/2021.07.28.453844: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Obtaining nasal wash/ nasal swab samples: The samples were collected under the Institutional Review Board (IRB) of the Baylor College of Medicine (BCM), Houston, Texas, USA with written informed consent.
    Consent: Obtaining nasal wash/ nasal swab samples: The samples were collected under the Institutional Review Board (IRB) of the Baylor College of Medicine (BCM), Houston, Texas, USA with written informed consent.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    goat anti-RSV IgG antibody (Abcam, Catalog number: ab20745) and rabbit anti-SARS-CoV-2 S1 IgG Antibody (Sino biologicals, Catalog number: 40150R007; BEI Resources, Catalog number: NR10361, 1:2000 dilution of the antiserum).
    anti-RSV IgG
    suggested: None
    anti-SARS-CoV-2 S1 IgG
    suggested: None
    NR10361
    suggested: None
    Primary antibodies were washed three times in TBS+0.05 % Tween for 10 min each, incubated with secondary antibodies from Invitrogen, for 1hour at room temperature, washed twice with TBS-T, and stained with 4′,6-diamidino-2-phenylindole (DAPI), washed twice with PBS, and mounted in VECTASHIELD Plus Antifade mounting media (Vector Laboratories, Burlingame, CA, H-1900).
    Antifade mounting media
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    MCP-1, MCP-3, MIG, MIP1a, MIP1b,
    MCP-1
    suggested: None
    Software and Algorithms
    SentencesResources
    Max intensity projections were used for image analysis and processed using ImageJ/Fiji.
    ImageJ/Fiji
    suggested: (BioVoxxel Toolbox, RRID:SCR_015825)
    For visualization, RSV/SARS-CoV-2 spots were enhanced by histogram stretching across treatments, post image acquisition in Fiji.
    Fiji
    suggested: (Fiji, RRID:SCR_002285)
    Tukey’s multiple comparison tests are performed using GraphPad Prism version 7.0 Windows (Graph Pad Software, San Diego, CA, www.graphpad.com).
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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: Please consider improving the rainbow (“jet”) colormap(s) used on page 23. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.

    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 10.1101/2021.07.28.453844v1 on bioRxiv