IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-25698-x.html
   My bibliography  Save this article

Large scale enzyme based xenobiotic identification for exposomics

Author

Listed:
  • Ken H. Liu

    (Emory University)

  • Choon M. Lee

    (Emory University School of Medicine)

  • Grant Singer

    (Emory University School of Medicine)

  • Preeti Bais

    (The Jackson Laboratory for Genomic Medicine)

  • Francisco Castellanos

    (The Jackson Laboratory for Genomic Medicine)

  • Michael H. Woodworth

    (Emory University School of Medicine)

  • Thomas R. Ziegler

    (Emory University School of Medicine)

  • Colleen S. Kraft

    (Emory University School of Medicine
    Emory University School of Medicine, Department of Pathology and Laboratory Medicine)

  • Gary W. Miller

    (Columbia University Mailman School of Public Health)

  • Shuzhao Li

    (The Jackson Laboratory for Genomic Medicine)

  • Young-Mi Go

    (Emory University)

  • Edward T. Morgan

    (Emory University School of Medicine)

  • Dean P. Jones

    (Emory University)

Abstract

Advances in genomics have revealed many of the genetic underpinnings of human disease, but exposomics methods are currently inadequate to obtain a similar level of understanding of environmental contributions to human disease. Exposomics methods are limited by low abundance of xenobiotic metabolites and lack of authentic standards, which precludes identification using solely mass spectrometry-based criteria. Here, we develop and validate a method for enzymatic generation of xenobiotic metabolites for use with high-resolution mass spectrometry (HRMS) for chemical identification. Generated xenobiotic metabolites were used to confirm identities of respective metabolites in mice and human samples based upon accurate mass, retention time and co-occurrence with related xenobiotic metabolites. The results establish a generally applicable enzyme-based identification (EBI) for mass spectrometry identification of xenobiotic metabolites and could complement existing criteria for chemical identification.

Suggested Citation

  • Ken H. Liu & Choon M. Lee & Grant Singer & Preeti Bais & Francisco Castellanos & Michael H. Woodworth & Thomas R. Ziegler & Colleen S. Kraft & Gary W. Miller & Shuzhao Li & Young-Mi Go & Edward T. Mor, 2021. "Large scale enzyme based xenobiotic identification for exposomics," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25698-x
    DOI: 10.1038/s41467-021-25698-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-25698-x
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-25698-x?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhiwei Zhou & Mingdu Luo & Haosong Zhang & Yandong Yin & Yuping Cai & Zheng-Jiang Zhu, 2022. "Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

    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:12:y:2021:i:1:d:10.1038_s41467-021-25698-x. 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.