Author
Listed:
- Xin Hu
(School of Medicine at Emory University)
- Douglas I. Walker
(Icahn School of Medicine at Mount Sinai)
- Yongliang Liang
(School of Medicine at Emory University)
- Matthew Ryan Smith
(School of Medicine at Emory University)
- Michael L. Orr
(School of Medicine at Emory University)
- Brian D. Juran
(Division of Gastroenterology and Hepatology, Mayo Clinic)
- Chunyu Ma
(Penn State University)
- Karan Uppal
(School of Medicine at Emory University)
- Michael Koval
(School of Medicine at Emory University)
- Greg S. Martin
(School of Medicine at Emory University)
- David C. Neujahr
(School of Medicine at Emory University)
- Carmen J. Marsit
(Rollins School of Public Health at Emory University)
- Young-Mi Go
(School of Medicine at Emory University)
- Kurt D. Pennell
(Brown University)
- Gary W. Miller
(Columbia University)
- Konstantinos N. Lazaridis
(Division of Gastroenterology and Hepatology, Mayo Clinic)
- Dean P. Jones
(School of Medicine at Emory University)
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.
Suggested Citation
Xin Hu & Douglas I. Walker & Yongliang Liang & Matthew Ryan Smith & Michael L. Orr & Brian D. Juran & Chunyu Ma & Karan Uppal & Michael Koval & Greg S. Martin & David C. Neujahr & Carmen J. Marsit & Y, 2021.
"A scalable workflow to characterize the human exposome,"
Nature Communications, Nature, vol. 12(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25840-9
DOI: 10.1038/s41467-021-25840-9
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