A scalable workflow to characterize the human exposome

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, Young-Mi Go, Kurt D. Pennell, Gary W. Miller, Konstantinos N. Lazaridis and Dean P. Jones ()
Additional contact information
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

Nature Communications, 2021, vol. 12, issue 1, 1-12

Abstract: 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.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-021-25840-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25840-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-021-25840-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().