Characteristic of IgA and IgG antibody response to SARS-CoV-2 infection in an Italian referral COVID-19 Hospital

  1. Annamaria Carnicelli
  2. Barbara Fiori
  3. Rosalba Ricci
  4. Alfonso Piano
  5. Nicola Bonadia
  6. Eleonora Taddei
  7. Massimo Fantoni
  8. Rita Murri
  9. Antonella Cingolani
  10. Christian Barillaro
  11. Salvatore Lucio Cutuli
  12. Debora Marchesini
  13. Davide Antonio Della Polla
  14. Evelina Forte
  15. Mariella Fuorlo
  16. Luca Di Maurizio
  17. Paola Amorini
  18. Paola Cattani
  19. Francesco Franceschi
  20. Maurizio Sanguinetti

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Abstract

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  1. Version published to 10.1007/s11739-021-02750-8
  2. ScreenIT

    SciScore for 10.1101/2020.11.16.20232470: (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
    Aim the of the study: Aim of the study was to describe the pattern of IgG and IgA antibody response against SARS-CoV-2 in hospitalized individuals.
    IgA
    suggested: None
    The EUROIMMUN Anti-SARS-CoV-2 Assay is an enzyme-linked immunosorbent assay (ELISA) that provides semi-quantitative in vitro determination of human antibodies of immunoglobulin classes IgA and IgG against SARS-CoV-2 in serum or EDTA plasma.
    IgG against SARS-CoV-2
    suggested: None
    To detect the bound antibodies, a second incubation is carried out using an enzyme-labelled antihuman IgA or IgG (enzyme conjugate) catalyzing a color reaction.
    an enzyme-labelled antihuman IgA
    suggested: None
    IgG ( enzyme conjugate ) catalyzing a color reaction
    suggested: None
    Software and Algorithms
    SentencesResources
    Data collection was performed using Microsoft Excel for Office 365
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    Statistical analysis and plot design were performed with the R statistical language version 4.0.2[26] via the RStudio IDE (RStudio, PBC, Boston, MA, USA)[27], using the Tidyverse package[28].
    Tidyverse
    suggested: (tidyverse, RRID:SCR_019186)

    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: We detected the following sentences addressing limitations in the study:
    Limitations: Our study has several limitations and our results should be interpreted with caution. First, its stated goal is exploratory in nature. Thus, the result of our study should be used only for hypothesis generation, and not to be intended as confirmatory. Where statistical significance has been formally calculated, p values below 0,05 should be interpreted as a signal of a possible association, not as a confirmatory result. Our study included only hospitalized patients or patients in supervised health care setting who were unable to maintain home isolation, thus generalization to other patients’ populations, especially to asymptomatic patients, should be done with caution. This is particularly true in the case of association between antibody response and severity of the disease. While there seemed to be an association between intensity of IgA response and the severity of the disease when the overall sample was evaluated, we could not find such an association at the single evaluated time frames. This could be due to lack of association or to the fact that the sample size for each time frame was too small to detect such an association. Furthermore, patients who were enrolled in this study were either hospitalized for active disease or had positive swabs for SARS-CoV-2 infection. Thus, they had active antigen stimulation. Our study does not allow us to draw conclusions on patients who have recovered from their disease or have achieved complete viral clearance. Moreover,...

    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 10.1101/2020.11.16.20232470v1 on medRxiv