Sex Differences in the Evolution of Neutralizing Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2

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Abstract

We measured anti-spike (S), nucleoprotein (N), and neutralizing antibodies in sera from 308 healthcare workers with a positive reverse-transcription quantitative polymerase chain reaction result for severe acute respiratory syndrome coronavirus 2 and with mild disease, collected at 2 timepoints up to 6 months after symptom onset. At month 1, anti-S and -N antibody levels were higher in male participants aged >50 years and participants with a body mass index (BMI) >25 kg/m2. At months 3–6, anti-S and anti-N antibodies were detected in 99% and 59% of individuals, respectively. Anti-S antibodies and neutralizing antibodies declined faster in men than in women, independent of age and BMI, suggesting an association of sex with evolution of the humoral response.

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  1. SciScore for 10.1101/2020.11.12.20230466: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: At enrolment (From April 15 to 29 2020) written informed consent was collected and participants completed a questionnaire which covered sociodemographic characteristics, virological findings (SARS-CoV-2 RT-PCR results including date of testing) and clinical data (date of symptom onset, type of symptoms, hospitalization).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableStatistical analysis: Baseline characteristics between men and women were compared using a chi-square test for categorical variable and student’s t-test for continuous variables.
    Cell Line AuthenticationContamination: Cells were tested for absence of mycoplasma contamination using Mycoalert™ Mycoplasma Detection Kit (Lonza)

    Table 2: Resources

    Antibodies
    SentencesResources
    Study design: The objective of this longitudinal study was to assess the onset and the persistence of anti-SARS-CoV-2 antibodies in sera from mild COVID-19 healthcare workers from Strasbourg University Hospital.
    anti-SARS-CoV-2
    suggested: None
    A titration with a human anti-S monoclonal antibody (mAb 48) was added to each plate to verify the reproducibility of the assay.
    anti-S
    suggested: None
    Subjects were divided into “sustainer” or “decayer” categories, for anti-S IgG, anti-N IgG and neutralizing antibody responses.
    anti-S IgG
    suggested: None
    anti-N IgG
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Cells: 293T cells (ATCC® CRL-3216™) were grown in complete DMEM medium (10% Fetal Calf Serum, 1% Penicillin/ streptomycin).
    293T
    suggested: None
    Software and Algorithms
    SentencesResources
    (R Studio, PBC) or Prism 8 (Graphpad Software).
    Graphpad
    suggested: (GraphPad, RRID:SCR_000306)

    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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04441684RecruitingSeroprevalence of SARS-CoV-2 in Strasbourg University Hospit…


    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.
    • 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.