Serological detection of 2019-nCoV respond to the epidemic: A useful complement to nucleic acid testing

  1. Jin Zhang
  2. Xiaoming Zhang
  3. Jianhua Liu
  4. Yuan Ban
  5. Na Li
  6. Yunhai Wu
  7. Yong Liu
  8. Rui Ye
  9. Jinyang Liu
  10. Xinghai Li
  11. Luping Li
  12. Xiaosong Qin
  13. Rui Zheng

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Abstract

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  1. Version published to 10.1016/j.intimp.2020.106861
  2. ScreenIT

    SciScore for 10.1101/2020.03.04.20030916: (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
    2019-nCoV IgM and IgG antibody detection: Chemiluminescence detection kit from Shenzhen
    IgG
    suggested: None
    There was a positive correlation between the amount of 2019-nCoV IgM or IgG antibody in the sample and RLU, and the concentration of 2019-nCoV IgM or IgG antibody (AU/ml) was automatically calculated according to RLU and built-in calibration curve, and 10.0 AU/ml was regarded as reactive (positive).
    IgM
    suggested: None
    Software and Algorithms
    SentencesResources
    Statistical analyses: SPSS version 20.0 (SPSS Inc., Chicago, IL) and GraphPad Prism version 5.01 (GraphPad Software Inc.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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:
    The factors owing to this missing include the timing of oropharyngeal or nasopharyngeal specimens’ collection; improper collection site, such as the collection depth was not enough; the urgent launch of a large number of in vitro diagnostic reagents inevitably leads to the lack of large sample virus genome research and clinical validation; standardized clinical nucleic acid testing laboratory was still a limitation to all labs. Furthermore, in the course of COVID-19’s different stages, the virus load is different. When the body’s immune system produces antibodies, the clinical signs and symptoms is obvious, the virus is likely to decline without being detected. Recently, a study of 138 patients showed a high proportion (41%) of suspected nosocomial infection (11), and it is also noteworthy that the presence of asymptomatic patients with latent mild pneumonia may be an important source of infection for outbreak transmission (12). Therefore, it remains critical to apply a fast and convenient detection method to distinguish and trace suspicious case or contacts as early as possible in order to prevent super-transmission events. Antibodies are the products of humoral immune response after infection with viruses. As a new infectious disease, while the detection of nucleic acid cannot be used widely, specific antibodies to 2019-nCoV can be used to determine whether the patient has been recently infected with 2019-nCoV or not. It has been reported that serum samples from 5 patients ...

    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 10.1101/2020.03.04.20030916 on medRxiv