Summary of Study ST001801
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 | ST001801 |
| Study Title | CHDWB human plasma exposomics analysis - 1 |
| Study Type | Untargeted MS anlaysis |
| Study Summary | We analyzed 80 archival samples from individuals (57 females, 23 males; aged 41 to 68 y) without known disease or occupational or environmental exposures of concern as a pilot to test the utility of XLE in large-scale human biomonitoring studies. Using a requirement for at least 3 co-eluting accurate mass m/z features ( 5 ppm) within 30 s of database retention time, we identified 49 chemicals belonging to various environmental chemical classes. An unsupervised 2-way hierarchical cluster analysis (HCA) of log transformed intensity showed clustering according to chemical class. In particular, persistent chemicals were highly correlated with each other (all raw P < 0.001), including p,p’-DDE, PCBs 153, 180, 138, 118 and 74, PBDE-47, hexachlorobenzene (HCB) and trans-nonachlor. Results showed a general increase of chemical levels with increasing age quartiles (Q3 and Q4 : 53 to 68 versus Q1 and Q2: 41 to 52) using unsupervised clustering, a trend particularly evident for the cluster of p,p’-DDE, PCBs 153, 180, 138, 118 and 74, PBDE-47, HCB and trans-nonachlor. Examination of data according to body mass index (BMI) showed that individuals with BMI ≥ 40 had lower levels of environmental chemicals, which may be attributed to high lipophilicity and propensity to distribute in adipose tissue versus plasma. Quantification with reference standardization showed that use of two SRM samples with differing environmental chemical concentrations can overcome variable batch effects in quantification for large-scale studies. Examples of the most frequently detected chemicals shows that overall distributions were positively skewed by a small subset of individuals with high concentrations. |
| 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 | 2021-05-06 |
| 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 |
