The kinetic variations of anti-nucleocapsid antibody in SARS-CoV-2 infection

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Abstract

The humoral immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) plays a pivotal role in controlling coronavirus disease 2019 (COVID-19) infections. However, little is known about the persistence of the antibody response.

We evaluated that the kinetics of anti-nucleocapsid protein antibody of SARS-CoV2 infected healthcare workers in COVID-19 cluster occurred hospital. The long-term kinetics of anti-N antibody was classified high and keep pattern, high and decay pattern, and low and keep pattern. COVID-19 contact and symptomaticity was not related to kinetic patterns.

The reason of kinetic difference was still unclear. However natural anti-SARS-CoV-2 antibody persistence was not uniform, suggesting inter-individual difference of SARS-CoV2 vaccine efficacy.

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  1. SciScore for 10.1101/2021.02.05.21251208: (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
    Subsequent serologic surveys were performed using a semi-quotative assay for anti-nucleocapsid (N) immunoglobulin antibodies (Roche Diagnostics) from May 25 to June 16.
    anti-nucleocapsid (N) immunoglobulin
    suggested: None
    Anti-spike (S) antibodies (Roche) were evaluated 7 months after diagnosis.
    Anti-spike (S)
    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 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.