Asymptomatic and symptomatic SARS-CoV-2 infections elicit polyfunctional antibodies

  1. Jérémy Dufloo
  2. Ludivine Grzelak
  3. Isabelle Staropoli
  4. Yoann Madec
  5. Laura Tondeur
  6. François Anna
  7. Stéphane Pelleau
  8. Aurélie Wiedemann
  9. Cyril Planchais
  10. Julian Buchrieser
  11. Rémy Robinot
  12. Marie-Noelle Ungeheuer
  13. Hugo Mouquet
  14. Pierre Charneau
  15. Michael White
  16. Yves Lévy
  17. Bruno Hoen
  18. Arnaud Fontanet
  19. Olivier Schwartz
  20. Timothée Bruel

Reviewed by

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1016/j.xcrm.2021.100275
  2. ScreenIT

    SciScore for 10.1101/2020.11.12.20230508: (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.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    ) assays: Complement activation assays: Neutralization assays: Live-imaging: 1×104 U2OS-ACE0-GFP-1-10 and 1×104 U2OS-ACE0-GFP-11 cells were plated overnight in each compartment of a μ-Dish35 mm Quad (Ibidi).
    U2OS-ACE0-GFP-11
    suggested: None
    Software and Algorithms
    SentencesResources
    Images were analyzed using the FIJI software.
    FIJI
    suggested: (Fiji, RRID:SCR_002285)
    , Prism 8 (GraphPad Software) or RStudio Desktop 1.3.1093
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)
    RStudio
    suggested: (RStudio, RRID:SCR_000432)
    For R analysis we used the following packages: corrplot (https://github.com/taiyun/corrplot), pheatmap (https://CRAN.R-project.org/package=pheatmap), factoextra and FactoMineR (https://CRAN.R-project.org/package=factoextra) and readxl (https://CRAN.R-project.org/package=readxl).
    FactoMineR
    suggested: (FactoMineR, RRID:SCR_014602)

    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:
    One limitation of our study is the absence of information regarding the date of virus acquisition in asymptomatic individuals. However, both S and AS were sampled at the beginning of the epidemic in Northern France and were likely infected within a short time frame. Our results confirm and extend reports of decreased antibody titers in asymptomatic individuals (Long et al., 2020; Sekine et al., 2020), in which Fc-associated antibody functions were not analyzed. Another limitation is the lack of PCR confirmation for the asymptomatic and mildly symptomatic individuals. Our analysis is therefore restricted to individuals who have seroconverted. Moreover, the different groups were not all age matched. In our first group, the asymptomatic individuals, were as expected, younger than the symptomatic individuals. This was balanced in our second group, in which we selected symptomatic individuals to match the age of the asymptomatic group. It will be of interest to accurately determine the influence of age and other clinical and biological characteristics on the intensity and polyfunctionality of the antibody response. The levels of antibodies targeting other viruses, including two seasonal coronaviruses were similar in asymptomatic and symptomatic individuals, suggesting that these previous infections did not impact disease severity. One noticeable exception was a higher titer of anti-Flu antibodies in symptomatic persons. The reasons for this remain to be characterized, but a simple...

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04325646RecruitingSero-epidemiological Study of the SARS-CoV-2 Virus Responsib…

    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 10.1101/2020.11.12.20230508 on medRxiv