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Reverse metabolomics for the discovery of chemical structures from humans

Author

Listed:
  • Emily C. Gentry

    (University of California, San Diego
    University of California, San Diego
    Virginia Tech)

  • Stephanie L. Collins

    (The Pennsylvania State University)

  • Morgan Panitchpakdi

    (University of California, San Diego
    University of California, San Diego)

  • Pedro Belda-Ferre

    (University of California, San Diego
    University of California, San Diego)

  • Allison K. Stewart

    (North Carolina State University)

  • Marvic Carrillo Terrazas

    (University of California, San Diego)

  • Hsueh-han Lu

    (University of California, San Diego)

  • Simone Zuffa

    (University of California, San Diego
    University of California, San Diego)

  • Tingting Yan

    (National Institutes of Health)

  • Julian Avila-Pacheco

    (Broad Institute of MIT and Harvard)

  • Damian R. Plichta

    (Broad Institute of MIT and Harvard)

  • Allegra T. Aron

    (University of California, San Diego
    University of California, San Diego)

  • Mingxun Wang

    (University of California, San Diego
    University of California, San Diego)

  • Alan K. Jarmusch

    (University of California, San Diego
    University of California, San Diego
    National Institutes of Health)

  • Fuhua Hao

    (The Pennsylvania State University)

  • Mashette Syrkin-Nikolau

    (Rady Children’s Hospital University of California San Diego)

  • Hera Vlamakis

    (Broad Institute of MIT and Harvard
    Massachusetts Institute of Technology)

  • Ashwin N. Ananthakrishnan

    (Massachusetts General Hospital)

  • Brigid S. Boland

    (University of California, San Diego)

  • Amy Hemperly

    (Rady Children’s Hospital University of California San Diego)

  • Niels Vande Casteele

    (University of California, San Diego)

  • Frank J. Gonzalez

    (National Institutes of Health)

  • Clary B. Clish

    (Broad Institute of MIT and Harvard)

  • Ramnik J. Xavier

    (Broad Institute of MIT and Harvard
    Massachusetts Institute of Technology
    Massachusetts General Hospital and Harvard Medical School
    Massachusetts General Hospital and Harvard Medical School)

  • Hiutung Chu

    (University of California, San Diego
    University of California, San Diego)

  • Erin S. Baker

    (North Carolina State University
    University of North Carolina at Chapel Hill)

  • Andrew D. Patterson

    (The Pennsylvania State University)

  • Rob Knight

    (University of California, San Diego
    University of California, San Diego
    University of California, San Diego
    University of California, San Diego)

  • Dionicio Siegel

    (University of California, San Diego)

  • Pieter C. Dorrestein

    (University of California, San Diego
    University of California, San Diego)

Abstract

Determining the structure and phenotypic context of molecules detected in untargeted metabolomics experiments remains challenging. Here we present reverse metabolomics as a discovery strategy, whereby tandem mass spectrometry spectra acquired from newly synthesized compounds are searched for in public metabolomics datasets to uncover phenotypic associations. To demonstrate the concept, we broadly synthesized and explored multiple classes of metabolites in humans, including N-acyl amides, fatty acid esters of hydroxy fatty acids, bile acid esters and conjugated bile acids. Using repository-scale analysis1,2, we discovered that some conjugated bile acids are associated with inflammatory bowel disease (IBD). Validation using four distinct human IBD cohorts showed that cholic acids conjugated to Glu, Ile/Leu, Phe, Thr, Trp or Tyr are increased in Crohn’s disease. Several of these compounds and related structures affected pathways associated with IBD, such as interferon-γ production in CD4+ T cells3 and agonism of the pregnane X receptor4. Culture of bacteria belonging to the Bifidobacterium, Clostridium and Enterococcus genera produced these bile amidates. Because searching repositories with tandem mass spectrometry spectra has only recently become possible, this reverse metabolomics approach can now be used as a general strategy to discover other molecules from human and animal ecosystems.

Suggested Citation

  • Emily C. Gentry & Stephanie L. Collins & Morgan Panitchpakdi & Pedro Belda-Ferre & Allison K. Stewart & Marvic Carrillo Terrazas & Hsueh-han Lu & Simone Zuffa & Tingting Yan & Julian Avila-Pacheco & D, 2024. "Reverse metabolomics for the discovery of chemical structures from humans," Nature, Nature, vol. 626(7998), pages 419-426, February.
  • Handle: RePEc:nat:nature:v:626:y:2024:i:7998:d:10.1038_s41586-023-06906-8
    DOI: 10.1038/s41586-023-06906-8
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