A digital protein microarray for COVID-19 cytokine storm monitoring

  1. Yujing Song
  2. Yuxuan Ye
  3. Shiuan-Haur Su
  4. Andrew Stephens
  5. Tao Cai
  6. Meng-Ting Chung
  7. Meilan K. Han
  8. Michael W. Newstead
  9. Lenar Yessayan
  10. David Frame
  11. H. David Humes
  12. Benjamin H. Singer
  13. Katsuo Kurabayashi

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

A digital microfluidic immunoassay platform enables rapid multiplex quantification of proinflammatory cytokines in serum for critically ill COVID-19 patients.

Article activity feed

  1. Version published to 10.1039/d0lc00678e
  2. ScreenIT

    SciScore for 10.1101/2020.06.15.20131870: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Pragmatic study of rapid cytokine measurement in COVID-19: This study was approved by the University of Michigan Institutional Review Board (HUM00179668) and patients or their surrogates provided informed consent for the investigational use of this test.
    Consent: Pragmatic study of rapid cytokine measurement in COVID-19: This study was approved by the University of Michigan Institutional Review Board (HUM00179668) and patients or their surrogates provided informed consent for the investigational use of this test.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Materials: We purchased human IL-6, TNF-α capture, and biotinylated detection antibody pairs from Invitrogen™, and IL-1β, IL-10 from BioLegend.
    IL-10
    suggested: None
    Antibody Conjugation to Magnetic Beads: We conjugated human IL-6, TNF-α, IL-1β, IL-10 capture antibodies using the epoxy-linked Dynabeads (2.7 μm) with the capture antibody molecules at a mass ratio of 6 μg (antibody): 1 mg (bead) following the protocols provided by Invitrogen™ (Catalog number: 14311D).
    TNF-α
    suggested: (Bio-Rad Cat# M6000007NY, RRID:AB_2784537)
    Programmed PEdELISA Assay and Imaging: The automated pipetting system was programmed to first draw 15 µL of the sample solution (patient serum and assay standard) and mix with 15 µL of detection antibody (DeAb) solution in the 96-well tube rack for 20 cycles (25-sec), and then draw 28 µL of the mixed solution and load them into the PEdELISA cartridge by two steps: Step 1.
    25-sec
    suggested: None
    Software and Algorithms
    SentencesResources
    The automated PEdELISA system was mainly constructed by a micro-controller (Arduino Uno and MEGA 2560)
    MEGA
    suggested: (Mega BLAST, RRID:SCR_011920)
    The microfluidic channels (designed with AutoCAD software) are laser-cut through a 120 µm high definition transparency polyethylene terephthalate (PET) thin film (adopted from standard screen protector) which has a silicone gel layer to create a vacuum for securely sealing to the top acrylic layer without adhesives.
    AutoCAD
    suggested: None

    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.

    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 10.1101/2020.06.15.20131870v1 on medRxiv