Altered Intestinal ACE2 Levels Are Associated With Inflammation, Severe Disease, and Response to Anti-Cytokine Therapy in Inflammatory Bowel Disease

  1. Alka A. Potdar
  2. Shishir Dube
  3. Takeo Naito
  4. Katherine Li
  5. Gregory Botwin
  6. Talin Haritunians
  7. Dalin Li
  8. David Casero
  9. Shaohong Yang
  10. Janine Bilsborough
  11. Jacqueline G. Perrigoue
  12. Lee A. Denson
  13. Mark Daly
  14. Stephan R. Targan
  15. Phillip Fleshner
  16. Jonathan Braun
  17. Subra Kugathasan
  18. Thaddeus S. Stappenbeck
  19. Dermot P.B. McGovern

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1053/j.gastro.2020.10.041
  2. ScreenIT

    SciScore for 10.1101/2020.04.19.20070995: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: ] IBD Biobank after the patients’ informed consent and approval by the IRB of the Cedars-Sinai Medical Center [protocol #3358].
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The dataset for the WashU cohort can be accessed on ArrayExpress.
    ArrayExpress
    suggested: (ArrayExpress, RRID:SCR_002964)
    Methods for datasets downloaded via GEO: Platform annotation, normalized gene expression, and phenotype meta-data were extracted using the R package GEOquery (GEO2R library).
    GEO2R
    suggested: (GEO2R, RRID:SCR_016569)
    In some cases, GraphPad Prism 7 (GraphPad, La Jolla, CA) was also used to perform statistical analysis with appropriate parametric or nonparametric statistical tests applied.
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)
    Genomic annotations for candidate genes of interest were extracted at the probe/transcript level from the platform annotation file for SB139 [13] and Cedars100 [R based GenomicFeatures package in Bioconductor].
    GenomicFeatures
    suggested: (GenomicFeatures, RRID:SCR_016960)
    Bioconductor
    suggested: (Bioconductor, RRID:SCR_006442)

    Results from OddPub: Thank you for sharing your data.

    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.

    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 10.1101/2020.04.19.20070995v1 on medRxiv