Summary of Study ST001804
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001136. The data can be accessed directly via it's Project DOI: 10.21228/M8VQ4D This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST001804 |
| Study Title | Human stool exposomics analysis |
| Study Type | Untargeted MS anlaysis |
| Study Summary | Human stool samples, as a noninvasive matrix, have unique value in exposome research but have not been extensively studied for environmental chemical exposures. For lipophilic and unabsorbed dietary environmental chemicals, stool is a primary route of elimination and can therefore provide useful information on body burden and clearance of chemicals. In a pilot analysis of six human stool samples, we detected 52 and quantified 21 environmental chemicals, with HCB found in all samples. Quantification of HCB showed a median concentration of 0.057 ng/g. HCA of correlation matrix showed co-exposures of chemicals are likely as shown in the plasma, lung and thyroid. The high correlations of these persistent chemicals are not surprising as they likely derive from similar environmental exposure events. |
| Institute | Emory University |
| Department | Medicine/Pulmonary |
| Laboratory | Dean Jones |
| Last Name | Hu |
| First Name | Xin |
| Address | Emory University Whitehead building (Rm 225), 615 Michael Street |
| xin.hu2@emory.edu | |
| Phone | 4047275091 |
| Submit Date | 2021-05-07 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML |
| Analysis Type Detail | GC-MS |
| Release Date | 2021-05-28 |
| Release Version | 1 |
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Project:
| Project ID: | PR001136 |
| Project DOI: | doi: 10.21228/M8VQ4D |
| Project Title: | A scalable workflow for the human exposome |
| Project Type: | Untargeted GC-MS quantitative analysis |
| Project Summary: | 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 developed a single-step express liquid extraction (XLE), gas chromatography high-resolution mass spectrometry (GC-HRMS) analysis and computational pipeline 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. |
| Institute: | Emory University |
| Department: | Medicine, Pulmonary |
| Laboratory: | Dean Jones |
| Last Name: | Hu |
| First Name: | Xin |
| Address: | Emory University Whitehead building (Rm 225), 615 Michael Street, Atlanta, Georgia, 30322, USA |
| Email: | xin.hu2@emory.edu |
| Phone: | 4047275091 |
| Funding Source: | This study was supported by the NIEHS, U2C ES030163 (DPJ), 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). |
| Contributors: | Xin Hu, Douglas I. Walker, Yongliang Liang, M. 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 Pennell, Gary W. Miller, Konstantinos N. Lazaridis, Dean P. Jones |
