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Metabolite changes in blood predict the onset of tuberculosis

Author

Listed:
  • January Weiner

    (Max Planck Institute for Infection Biology)

  • Jeroen Maertzdorf

    (Max Planck Institute for Infection Biology)

  • Jayne S. Sutherland

    (Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine)

  • Fergal J. Duffy

    (The Center for Infectious Disease Research)

  • Ethan Thompson

    (The Center for Infectious Disease Research)

  • Sara Suliman

    (University of Cape Town)

  • Gayle McEwen

    (Max Planck Institute for Infection Biology
    Leibniz Institute for ZOO and and Wildlife Research)

  • Bonnie Thiel

    (Case Western Reserve University School of Medicine and University Hospitals Case Medical Center)

  • Shreemanta K. Parida

    (Max Planck Institute for Infection Biology
    Translational Medicine & Global Health Consulting)

  • Joanna Zyla

    (Max Planck Institute for Infection Biology)

  • Willem A. Hanekom

    (University of Cape Town)

  • Robert P. Mohney

    (Metabolon Inc.)

  • W. Henry Boom

    (Case Western Reserve University School of Medicine and University Hospitals Case Medical Center)

  • Harriet Mayanja-Kizza

    (Makerere University)

  • Rawleigh Howe

    (Armauer Hansen Research Institute)

  • Hazel M. Dockrell

    (London School of Hygiene & Tropical Medicine)

  • Tom H. M. Ottenhoff

    (Leiden University Medical Centre)

  • Thomas J. Scriba

    (University of Cape Town)

  • Daniel E. Zak

    (The Center for Infectious Disease Research)

  • Gerhard Walzl

    (Stellenbosch University)

  • Stefan H. E. Kaufmann

    (Max Planck Institute for Infection Biology)

Abstract

New biomarkers of tuberculosis (TB) risk and disease are critical for the urgently needed control of the ongoing TB pandemic. In a prospective multisite study across Subsaharan Africa, we analyzed metabolic profiles in serum and plasma from HIV-negative, TB-exposed individuals who either progressed to TB 3–24 months post-exposure (progressors) or remained healthy (controls). We generated a trans-African metabolic biosignature for TB, which identifies future progressors both on blinded test samples and in external data sets and shows a performance of 69% sensitivity at 75% specificity in samples within 5 months of diagnosis. These prognostic metabolic signatures are consistent with development of subclinical disease prior to manifestation of active TB. Metabolic changes associated with pre-symptomatic disease are observed as early as 12 months prior to TB diagnosis, thus enabling timely interventions to prevent disease progression and transmission.

Suggested Citation

  • January Weiner & Jeroen Maertzdorf & Jayne S. Sutherland & Fergal J. Duffy & Ethan Thompson & Sara Suliman & Gayle McEwen & Bonnie Thiel & Shreemanta K. Parida & Joanna Zyla & Willem A. Hanekom & Robe, 2018. "Metabolite changes in blood predict the onset of tuberculosis," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07635-7
    DOI: 10.1038/s41467-018-07635-7
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    Cited by:

    1. Merlijn Breugel & Cancan Qi & Zhongli Xu & Casper-Emil T. Pedersen & Ilya Petoukhov & Judith M. Vonk & Ulrike Gehring & Marijn Berg & Marnix Bügel & Orestes A. Carpaij & Erick Forno & Andréanne Morin , 2022. "Nasal DNA methylation at three CpG sites predicts childhood allergic disease," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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