Publication

A scalable workflow to characterize the human exposome

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Last modified
  • 05/15/2025
Type of Material
Authors
    Xin Hu, Emory UniversityDouglas Walker, Emory UniversityYongliang Liang, Emory UniversityMatthew Ryan Smith, Emory UniversityMichael L. Orr, Emory UniversityBrian D. Juran, Mayo ClinicChunyu Ma, Pennsylvania State UniversityKaran Uppal, Emory UniversityMichael Koval, Emory UniversityGregory Martin, Emory UniversityDavid Neujahr, Emory UniversityCarmen Marsit, Emory UniversityYoung-Mi Go, Emory UniversityKurt D. Pennell, Brown UniversityGary Miller, Emory UniversityKonstantinos N. Lazaridis, Mayo ClinicDean Jones, Emory University
Language
  • English
Date
  • 2021-09-22
Publisher
  • NATURE PORTFOLIO
Publication Version
Copyright Statement
  • © The Author(s) 2021
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 12
Issue
  • 1
Start Page
  • 5575
End Page
  • 5575
Grant/Funding Information
  • This study was supported by the NIEHS, U2C ES030163 (DPJ), R24 ES029490 (DPJ, XH), U2C ES030859 (DIW) and P30 ES019776 (CJM), NIDDK RC2 DK118619 (KNL), NHLBI R01 HL086773 (DPJ), US Department of Defense W81XWH2010103 (DPJ), and the Chris M. Carlos and Catharine Nicole Jockisch Carlos Endowment Fund in Primary Sclerosing Cholangitis (PSC) (KNL).
Supplemental Material (URL)
Abstract
  • Complementing the genome with an understanding of the human exposome is an important challenge for contemporary science and technology. Tens of thousands of chemicals are used in commerce, yet cost for targeted environmental chemical analysis limits surveillance to a few hundred known hazards. To overcome limitations which prevent scaling to thousands of chemicals, we develop a single-step express liquid extraction and gas chromatography high-resolution mass spectrometry analysis to operationalize the human exposome. We show that the workflow supports quantification of environmental chemicals in human plasma (200 µL) and tissue (≤100 mg) samples. The method also provides high resolution, sensitivity and selectivity for exposome epidemiology of mass spectral features without a priori knowledge of chemical identity. The simplicity of the method can facilitate harmonization of environmental biomonitoring between laboratories and enable population level human exposome research with limited sample volume.
Author Notes
Keywords
Research Categories
  • Health Sciences, Medicine and Surgery
  • Environmental Sciences
  • Health Sciences, Public Health

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