TCA-soluble blood serum proteins of COVID-19 patients as possible predictive markers for the disease severity

  1. Andrii Orfin
  2. Marina Starykovych
  3. Tamila Alexanyan
  4. Svitlana Tkachuk
  5. Anatoliy Starodub
  6. Taras Luchyshyn
  7. Andriy Sibirny
  8. Serhiy Souchelnytskyi
  9. Yuriy Kit

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Abstract

Coronavirus disease 19 (COVID-19) is a global health crisis on a planetary scale. COVID-19 in many people has mild or moderate manifestation, although significant number of people, especially the elderly, suffer heavy from this illness, which often resulting in death. There are reports of similarities in immune response between COVID-19 and some autoimmune diseases. Earlier, we have demonstrated that fraction of TCA-soluble blood serum proteins containing a 48 kDA fragment of unconvential Myosin C1 have linked with development of multiple sclerosis and rheumatoid arthritis. Here we analyze use of these proteins in determining the severity of disease in COVID-19 patients. We found that blood serum of COVID-19 patients in acute disease manifestation contains, in contrast to healthy individuals, the TCA-soluble proteins with molecular masses 48 kDa and 76 kDA which were identified as a short form of unconventional myosin 1c and a modified form of human serum albumin.

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  1. ScreenIT

    SciScore for 10.1101/2021.04.07.21255063: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The blood samples (2 ml) of were collected under the approval of the Bio-Ethics Review Board of the Danylo Halytsky Lviv National Medical University in accordance with the regulation of the Ministry of Health of Ukraine (number of the permit has to be added).
    Consent: A documented consent was obtained from all patients included in the study, and the form of the consent was approved by the Bio-Ethics Review Board of the Danylo Halytsky Lviv National Medical University.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    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.

  2. Version published to 10.1101/2021.04.07.21255063 on medRxiv