Cargando…

A scalable workflow to characterize the human exposome

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 ov...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Xin, Walker, Douglas I., Liang, Yongliang, Smith, Matthew Ryan, Orr, Michael L., Juran, Brian D., Ma, Chunyu, Uppal, Karan, Koval, Michael, Martin, Greg S., Neujahr, David C., Marsit, Carmen J., Go, Young-Mi, Pennell, Kurt D., Miller, Gary W., Lazaridis, Konstantinos N., Jones, Dean P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458492/
https://www.ncbi.nlm.nih.gov/pubmed/34552080
http://dx.doi.org/10.1038/s41467-021-25840-9
_version_ 1784571313751326720
author Hu, Xin
Walker, Douglas I.
Liang, Yongliang
Smith, Matthew Ryan
Orr, Michael L.
Juran, Brian D.
Ma, Chunyu
Uppal, Karan
Koval, Michael
Martin, Greg S.
Neujahr, David C.
Marsit, Carmen J.
Go, Young-Mi
Pennell, Kurt D.
Miller, Gary W.
Lazaridis, Konstantinos N.
Jones, Dean P.
author_facet Hu, Xin
Walker, Douglas I.
Liang, Yongliang
Smith, Matthew Ryan
Orr, Michael L.
Juran, Brian D.
Ma, Chunyu
Uppal, Karan
Koval, Michael
Martin, Greg S.
Neujahr, David C.
Marsit, Carmen J.
Go, Young-Mi
Pennell, Kurt D.
Miller, Gary W.
Lazaridis, Konstantinos N.
Jones, Dean P.
author_sort Hu, Xin
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8458492
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-84584922021-10-07 A scalable workflow to characterize the human exposome Hu, Xin Walker, Douglas I. Liang, Yongliang Smith, Matthew Ryan Orr, Michael L. Juran, Brian D. Ma, Chunyu Uppal, Karan Koval, Michael Martin, Greg S. Neujahr, David C. Marsit, Carmen J. Go, Young-Mi Pennell, Kurt D. Miller, Gary W. Lazaridis, Konstantinos N. Jones, Dean P. Nat Commun Article 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. Nature Publishing Group UK 2021-09-22 /pmc/articles/PMC8458492/ /pubmed/34552080 http://dx.doi.org/10.1038/s41467-021-25840-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hu, Xin
Walker, Douglas I.
Liang, Yongliang
Smith, Matthew Ryan
Orr, Michael L.
Juran, Brian D.
Ma, Chunyu
Uppal, Karan
Koval, Michael
Martin, Greg S.
Neujahr, David C.
Marsit, Carmen J.
Go, Young-Mi
Pennell, Kurt D.
Miller, Gary W.
Lazaridis, Konstantinos N.
Jones, Dean P.
A scalable workflow to characterize the human exposome
title A scalable workflow to characterize the human exposome
title_full A scalable workflow to characterize the human exposome
title_fullStr A scalable workflow to characterize the human exposome
title_full_unstemmed A scalable workflow to characterize the human exposome
title_short A scalable workflow to characterize the human exposome
title_sort scalable workflow to characterize the human exposome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458492/
https://www.ncbi.nlm.nih.gov/pubmed/34552080
http://dx.doi.org/10.1038/s41467-021-25840-9
work_keys_str_mv AT huxin ascalableworkflowtocharacterizethehumanexposome
AT walkerdouglasi ascalableworkflowtocharacterizethehumanexposome
AT liangyongliang ascalableworkflowtocharacterizethehumanexposome
AT smithmatthewryan ascalableworkflowtocharacterizethehumanexposome
AT orrmichaell ascalableworkflowtocharacterizethehumanexposome
AT juranbriand ascalableworkflowtocharacterizethehumanexposome
AT machunyu ascalableworkflowtocharacterizethehumanexposome
AT uppalkaran ascalableworkflowtocharacterizethehumanexposome
AT kovalmichael ascalableworkflowtocharacterizethehumanexposome
AT martingregs ascalableworkflowtocharacterizethehumanexposome
AT neujahrdavidc ascalableworkflowtocharacterizethehumanexposome
AT marsitcarmenj ascalableworkflowtocharacterizethehumanexposome
AT goyoungmi ascalableworkflowtocharacterizethehumanexposome
AT pennellkurtd ascalableworkflowtocharacterizethehumanexposome
AT millergaryw ascalableworkflowtocharacterizethehumanexposome
AT lazaridiskonstantinosn ascalableworkflowtocharacterizethehumanexposome
AT jonesdeanp ascalableworkflowtocharacterizethehumanexposome
AT huxin scalableworkflowtocharacterizethehumanexposome
AT walkerdouglasi scalableworkflowtocharacterizethehumanexposome
AT liangyongliang scalableworkflowtocharacterizethehumanexposome
AT smithmatthewryan scalableworkflowtocharacterizethehumanexposome
AT orrmichaell scalableworkflowtocharacterizethehumanexposome
AT juranbriand scalableworkflowtocharacterizethehumanexposome
AT machunyu scalableworkflowtocharacterizethehumanexposome
AT uppalkaran scalableworkflowtocharacterizethehumanexposome
AT kovalmichael scalableworkflowtocharacterizethehumanexposome
AT martingregs scalableworkflowtocharacterizethehumanexposome
AT neujahrdavidc scalableworkflowtocharacterizethehumanexposome
AT marsitcarmenj scalableworkflowtocharacterizethehumanexposome
AT goyoungmi scalableworkflowtocharacterizethehumanexposome
AT pennellkurtd scalableworkflowtocharacterizethehumanexposome
AT millergaryw scalableworkflowtocharacterizethehumanexposome
AT lazaridiskonstantinosn scalableworkflowtocharacterizethehumanexposome
AT jonesdeanp scalableworkflowtocharacterizethehumanexposome