Pre-existing cutaneous conditions could increase the risk for SARS-COV-2 infection.

  1. Qiannan Xu
  2. Lihong Chen
  3. Li Zhang
  4. Mengyan Hu
  5. Xiaopan Wang
  6. Qi Yang
  7. Yunchen Le
  8. Feng Xue
  9. Xia Li
  10. Jie Zheng

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Abstract

Since the end of 2019, COVID-19 pandemic caused by the SARS-CoV-2 emerged globally. The angiotensin-converting enzyme 2 (ACE2) on the cell surface is crucial for SARS-COV-2 entering into the cells. We use SARS-COV-2 pseudo virus and humanized ACE2 mice to mimic the possible transmitting of SARS-COV-2 through skin based on the data we found that skin ACE2 level is associated with skin pre-existing cutaneous conditions in human and mouse models and inflammatory skin disorders with barrier dysfunction increased the penetration of topical FITC conjugated spike protein into the skin. Our study indicated the possibility that the pre-existing cutaneous conditions could increase the risk for SARS-COV-2 infection.

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  1. Version published to 10.1101/2020.06.30.181297v4 on bioRxiv
  2. Version published to 10.1101/2020.06.30.181297v3 on bioRxiv
  3. Version published to 10.1101/2020.06.30.181297v2 on bioRxiv
  4. ScreenIT

    SciScore for 10.1101/2020.06.30.181297: (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

    Antibodies
    SentencesResources
    Subsequently, the sections were washed in TBS (tris-buffered saline and incubated with primary antibodies directed against ACE2 (1:100, abcam, cat: ab15348) and Ki-67 (1:100, MIB-1, Dako) in an Autostainer Link48 automated staining platform (Dako) for 20 min at room temperature.
    ACE2
    suggested: (Abcam Cat# ab15348, RRID:AB_301861)
    Ki-67
    suggested: None
    The following antibodies were used for immunofluorescent staining, Goat Anti-Rabbit IgG H&L AlexaFluor 488 (abcam, Cat:ab150077)Rabbit polyclonal to Angiotensin Converting Enzyme 2 (abcam,Cat : ab15348). 4’,6-Diamidino-2-phenylindole (DAPI) (Fluka) was used for the staining of nuclei.
    Anti-Rabbit IgG
    suggested: (Abcam Cat# ab150077, RRID:AB_2630356)
    Angiotensin Converting Enzyme 2
    suggested: (Abcam Cat# ab15348, RRID:AB_301861)

    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 4. 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.
    • 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.

  5. Version published to 10.1101/2020.06.30.181297v1 on bioRxiv