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    Biological and Clinical Factors Contributing to the Metabolic Heterogeneity of Hospitalized Patients with and without COVID-19

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    Author
    D'Alessandro, Angelo
    Thomas, Tiffany
    Akpan, Imo J
    Reisz, Julie A
    Cendali, Francesca I
    Gamboni, Fabia
    Nemkov, Travis
    Thangaraju, Kiruphagaran
    Katneni, Upendra
    Tanaka, Kenichi
    Kahn, Stacie
    Wei, Alexander Z
    Valk, Jacob E
    Hudson, Krystalyn E
    Roh, David
    Moriconi, Chiara
    Zimring, James C
    Hod, Eldad A
    Spitalnik, Steven L
    Buehler, Paul W
    Francis, Richard O
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    Date
    2021-09-02
    Journal
    Cells
    Publisher
    MDPI AG
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.3390/cells10092293
    Abstract
    The Corona Virus Disease 2019 (COVID-19) pandemic represents an ongoing worldwide challenge. The present large study sought to understand independent and overlapping metabolic features of samples from acutely ill patients (n = 831) that tested positive (n = 543) or negative (n = 288) for COVID-19. High-throughput metabolomics analyses were complemented with antigen and enzymatic activity assays on plasma from acutely ill patients collected while in the emergency department, at admission, or during hospitalization. Lipidomics analyses were also performed on COVID-19-positive or -negative subjects with the lowest and highest body mass index (n = 60/group). Significant changes in amino acid and fatty acid/acylcarnitine metabolism emerged as highly relevant markers of disease severity, progression, and prognosis as a function of biological and clinical variables in these patients. Further, machine learning models were trained by entering all metabolomics and clinical data from half of the COVID-19 patient cohort and then tested on the other half, yielding ~78% prediction accuracy. Finally, the extensive amount of information accumulated in this large, prospective, observational study provides a foundation for mechanistic follow-up studies and data sharing opportunities, which will advance our understanding of the characteristics of the plasma metabolism in COVID-19 and other acute critical illnesses.
    Keyword
    COVID-19
    acylcarnitine
    amino acid
    fatty acid
    kynurenine
    metabolomics
    tryptophan
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/16748
    ae974a485f413a2113503eed53cd6c53
    10.3390/cells10092293
    Scopus Count
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