Plasma S-Adenosylmethionine Is Associated with Lung Injury in COVID-19

  1. Evgeny Vladimirovich Kryukov
  2. Alexander Vladimirovich Ivanov
  3. Vladimir Olegovich Karpov
  4. Valery Vasil’evich Aleksandrin
  5. Alexander Mikhaylovich Dygai
  6. Maria Petrovna Kruglova
  7. Gennady Ivanovich Kostiuchenko
  8. Sergei Petrovich Kazakov
  9. Aslan Amirkhanovich Kubatiev

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Abstract

Objective. S-Adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) are indicators of global transmethylation and may play an important role as markers of severity of COVID-19. Methods. The levels of plasma SAM and SAH were determined in patients admitted with COVID-19 ( n = 56 , mean   age = 61 ). Lung injury was identified by computed tomography (CT) in accordance with the CT0-4 classification. Results. SAM was found to be a potential marker of lung damage risk in COVID-19 patients ( SAM > 80   nM ; CT3,4 vs. CT 0-2: relative ratio (RR) was 3.0; p = 0.0029 ). SAM / SAH > 6.0 was also found to be a marker of lung injury (CT2-4 vs. CT0,1: RR = 3.47 , p = 0.0004 ). There was a negative association between SAM and glutathione level ( ρ = − 0.343 , p = 0.011 ). Interleukin-6 (IL-6) levels were associated with SAM ( ρ = 0.44 , p = 0.01 ) and SAH ( ρ = 0.534 , p = 0.001 ) levels. Conclusions. A high SAM level and high methylation index are associated with the risk of lung injury in patients with COVID-19. The association of SAM with IL-6 and glutathione indicates an important role of transmethylation in the development of cytokine imbalance and oxidative stress in patients with COVID-19.

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  1. Version published to 10.1155/2021/7686374
  2. ScreenIT

    SciScore for 10.1101/2021.09.23.21262822: (What is this?)

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

    Table 1: Rigor

    EthicsIACUC: The study was approved by the local institutional ethics committee.
    Consent: Informed written consent was obtained from each patient.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data collection and primary processing (identification and integration of the chromatographic peaks) were performed in MassLynx v4.1 (Waters, USA).
    MassLynx
    suggested: (MassLynx , RRID:SCR_014271)
    Statistical data analysis was performed using SPSS Statistics v. 22 (IBM, USA).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: Thank you for sharing your data.

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    This study has a number of limitations. Firstly, it is a small sample size, the heterogeneity of patient groups, the lack of follow-up of patients, which makes limited generalisability of the findings in a single-center study, the findings indicate the importance of assessing SAM levels and the SAM/SAH ratio for use as markers of COVID-19 prognosis or for the use of methyltransferase inhibitors for the treatment of COVID-19.

    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.

    Results from scite Reference Check: We found no unreliable references.

    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 10.1101/2021.09.23.21262822v1 on medRxiv