Large scale enzyme based xenobiotic identification for exposomics

Author:

Liu Ken H.ORCID,Lee Choon M.,Singer Grant,Bais Preeti,Castellanos Francisco,Woodworth Michael H.ORCID,Ziegler Thomas R.,Kraft Colleen S.,Miller Gary W.ORCID,Li Shuzhao,Go Young-Mi,Morgan Edward T.ORCID,Jones Dean P.ORCID

Abstract

AbstractAdvances 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.

Funder

U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases

U.S. Department of Health & Human Services | NIH | NIH Office of the Director

U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences

U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

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