IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-44266-z.html
   My bibliography  Save this article

Amino acid catabolite markers for early prognostication of pneumonia in patients with COVID-19

Author

Listed:
  • Rae Maeda

    (Kyoto University Graduate School of Medicine)

  • Natsumi Seki

    (Kyoto University Graduate School of Medicine)

  • Yoshifumi Uwamino

    (Keio University School of Medicine
    Keio University School of Medicine)

  • Masatoshi Wakui

    (Keio University School of Medicine)

  • Yu Nakagama

    (Osaka Metropolitan University)

  • Yasutoshi Kido

    (Osaka Metropolitan University)

  • Miwa Sasai

    (Osaka University
    Osaka University)

  • Shu Taira

    (Fukushima University)

  • Naoya Toriu

    (Kyoto University
    Kyoto University)

  • Masahiro Yamamoto

    (Osaka University
    Osaka University)

  • Yoshiharu Matsuura

    (Osaka University
    Osaka University)

  • Jun Uchiyama

    (Keio University)

  • Genki Yamaguchi

    (Keio University)

  • Makoto Hirakawa

    (Keio University)

  • Yun-Gi Kim

    (Keio University)

  • Masayo Mishima

    (Keio University School of Medicine)

  • Motoko Yanagita

    (Kyoto University
    Kyoto University)

  • Makoto Suematsu

    (Keio University School of Medicine
    Keio University, and Central Institute for Experimental Medicine and Life Science)

  • Yuki Sugiura

    (Kyoto University Graduate School of Medicine
    Keio University School of Medicine)

Abstract

Effective early-stage markers for predicting which patients are at risk of developing SARS-CoV-2 infection have not been fully investigated. Here, we performed comprehensive serum metabolome analysis of a total of 83 patients from two cohorts to determine that the acceleration of amino acid catabolism within 5 days from disease onset correlated with future disease severity. Increased levels of de-aminated amino acid catabolites involved in the de novo nucleotide synthesis pathway were identified as early prognostic markers that correlated with the initial viral load. We further employed mice models of SARS-CoV2-MA10 and influenza infection to demonstrate that such de-amination of amino acids and de novo synthesis of nucleotides were associated with the abnormal proliferation of airway and vascular tissue cells in the lungs during the early stages of infection. Consequently, it can be concluded that lung parenchymal tissue remodeling in the early stages of respiratory viral infections induces systemic metabolic remodeling and that the associated key amino acid catabolites are valid predictors for excessive inflammatory response in later disease stages.

Suggested Citation

  • Rae Maeda & Natsumi Seki & Yoshifumi Uwamino & Masatoshi Wakui & Yu Nakagama & Yasutoshi Kido & Miwa Sasai & Shu Taira & Naoya Toriu & Masahiro Yamamoto & Yoshiharu Matsuura & Jun Uchiyama & Genki Yam, 2023. "Amino acid catabolite markers for early prognostication of pneumonia in patients with COVID-19," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-44266-z
    DOI: 10.1038/s41467-023-44266-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-44266-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-44266-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-44266-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.