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Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia

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  • Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia

    Crit Care. 2017 Apr 19;21(1):97. doi: 10.1186/s13054-017-1672-7.
    Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia.

    Banoei MM1, Vogel HJ2, Weljie AM2,3, Kumar A4, Yende S5,6, Angus DC5,6, Winston BW7,8,9; Canadian Critical Care Translational Biology Group (CCCTBG).
    Author information

    Abstract

    BACKGROUND:

    Metabolomics is a tool that has been used for the diagnosis and prognosis of specific diseases. The purpose of this study was to examine if metabolomics could be used as a potential diagnostic and prognostic tool for H1N1 pneumonia. Our hypothesis was that metabolomics can potentially be used early for the diagnosis and prognosis of H1N1 influenza pneumonia.
    METHODS:

    1H nuclear magnetic resonance spectroscopy and gas chromatography-mass spectrometry were used to profile the metabolome in 42 patients with H1N1 pneumonia, 31 ventilated control subjects in the intensive care unit (ICU), and 30 culture-positive plasma samples from patients with bacterial community-acquired pneumonia drawn within the first 24 h of hospital admission for diagnosis and prognosis of disease.
    RESULTS:

    We found that plasma-based metabolomics from samples taken within 24 h of hospital admission can be used to discriminate H1N1 pneumonia from bacterial pneumonia and nonsurvivors from survivors of H1N1 pneumonia. Moreover, metabolomics is a highly sensitive and specific tool for the 90-day prognosis of mortality in H1N1 pneumonia.
    CONCLUSIONS:

    This study demonstrates that H1N1 pneumonia can create a quite different plasma metabolic profile from bacterial culture-positive pneumonia and ventilated control subjects in the ICU on the basis of plasma samples taken within 24 h of hospital/ICU admission, early in the course of disease.


    KEYWORDS:

    Biomarkers; GC-MS; H1N1 pneumonia; Metabolomics; NMR

    PMID: 28424077 PMCID: PMC5397800 DOI: 10.1186/s13054-017-1672-7
    Free PMC Article
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