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SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids
Characterization of endogenous metabolites and xenobiotics is essential to deconvoluting the genetic and environmental causes of disease. However, surveillance of chemical exposure and disease-related changes in large cohorts requires an analytical platform that offers rapid measurement, high sensit...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739065/ https://www.ncbi.nlm.nih.gov/pubmed/29276770 http://dx.doi.org/10.1016/j.clinms.2016.11.002 |
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author | Zhang, Xing Romm, Michelle Zheng, Xueyun Zink, Erika M. Kim, Young-Mo Burnum-Johnson, Kristin E. Orton, Daniel J. Apffel, Alex Ibrahim, Yehia M. Monroe, Matthew E. Moore, Ronald J. Smith, Jordan N. Ma, Jian Renslow, Ryan S. Thomas, Dennis G. Blackwell, Anne E. Swinford, Glenn Sausen, John Kurulugama, Ruwan T. Eno, Nathan Darland, Ed Stafford, George Fjeldsted, John Metz, Thomas O. Teeguarden, Justin G. Smith, Richard D. Baker, Erin S. |
author_facet | Zhang, Xing Romm, Michelle Zheng, Xueyun Zink, Erika M. Kim, Young-Mo Burnum-Johnson, Kristin E. Orton, Daniel J. Apffel, Alex Ibrahim, Yehia M. Monroe, Matthew E. Moore, Ronald J. Smith, Jordan N. Ma, Jian Renslow, Ryan S. Thomas, Dennis G. Blackwell, Anne E. Swinford, Glenn Sausen, John Kurulugama, Ruwan T. Eno, Nathan Darland, Ed Stafford, George Fjeldsted, John Metz, Thomas O. Teeguarden, Justin G. Smith, Richard D. Baker, Erin S. |
author_sort | Zhang, Xing |
collection | PubMed |
description | Characterization of endogenous metabolites and xenobiotics is essential to deconvoluting the genetic and environmental causes of disease. However, surveillance of chemical exposure and disease-related changes in large cohorts requires an analytical platform that offers rapid measurement, high sensitivity, efficient separation, broad dynamic range, and application to an expansive chemical space. Here, we present a novel platform for small molecule analyses that addresses these requirements by combining solid-phase extraction with ion mobility spectrometry and mass spectrometry (SPE-IMS-MS). This platform is capable of performing both targeted and global measurements of endogenous metabolites and xenobiotics in human biofluids with high reproducibility (CV 6 3%), sensitivity (LODs in the pM range in biofluids) and throughput (10-s sample-to-sample duty cycle). We report application of this platform to the analysis of human urine from patients with and without type 1 diabetes, where we observed statistically significant variations in the concentration of disaccharides and previously unreported chemical isomers. This SPE-IMS-MS platform overcomes many of the current challenges of large-scale metabolomic and exposomic analyses and offers a viable option for population and patient cohort screening in an effort to gain insights into disease processes and human environmental chemical exposure. |
format | Online Article Text |
id | pubmed-5739065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-57390652017-12-21 SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids Zhang, Xing Romm, Michelle Zheng, Xueyun Zink, Erika M. Kim, Young-Mo Burnum-Johnson, Kristin E. Orton, Daniel J. Apffel, Alex Ibrahim, Yehia M. Monroe, Matthew E. Moore, Ronald J. Smith, Jordan N. Ma, Jian Renslow, Ryan S. Thomas, Dennis G. Blackwell, Anne E. Swinford, Glenn Sausen, John Kurulugama, Ruwan T. Eno, Nathan Darland, Ed Stafford, George Fjeldsted, John Metz, Thomas O. Teeguarden, Justin G. Smith, Richard D. Baker, Erin S. Clin Mass Spectrom Article Characterization of endogenous metabolites and xenobiotics is essential to deconvoluting the genetic and environmental causes of disease. However, surveillance of chemical exposure and disease-related changes in large cohorts requires an analytical platform that offers rapid measurement, high sensitivity, efficient separation, broad dynamic range, and application to an expansive chemical space. Here, we present a novel platform for small molecule analyses that addresses these requirements by combining solid-phase extraction with ion mobility spectrometry and mass spectrometry (SPE-IMS-MS). This platform is capable of performing both targeted and global measurements of endogenous metabolites and xenobiotics in human biofluids with high reproducibility (CV 6 3%), sensitivity (LODs in the pM range in biofluids) and throughput (10-s sample-to-sample duty cycle). We report application of this platform to the analysis of human urine from patients with and without type 1 diabetes, where we observed statistically significant variations in the concentration of disaccharides and previously unreported chemical isomers. This SPE-IMS-MS platform overcomes many of the current challenges of large-scale metabolomic and exposomic analyses and offers a viable option for population and patient cohort screening in an effort to gain insights into disease processes and human environmental chemical exposure. 2016-12-29 2016-12 /pmc/articles/PMC5739065/ /pubmed/29276770 http://dx.doi.org/10.1016/j.clinms.2016.11.002 Text en This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Xing Romm, Michelle Zheng, Xueyun Zink, Erika M. Kim, Young-Mo Burnum-Johnson, Kristin E. Orton, Daniel J. Apffel, Alex Ibrahim, Yehia M. Monroe, Matthew E. Moore, Ronald J. Smith, Jordan N. Ma, Jian Renslow, Ryan S. Thomas, Dennis G. Blackwell, Anne E. Swinford, Glenn Sausen, John Kurulugama, Ruwan T. Eno, Nathan Darland, Ed Stafford, George Fjeldsted, John Metz, Thomas O. Teeguarden, Justin G. Smith, Richard D. Baker, Erin S. SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids |
title | SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids |
title_full | SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids |
title_fullStr | SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids |
title_full_unstemmed | SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids |
title_short | SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids |
title_sort | spe-ims-ms: an automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739065/ https://www.ncbi.nlm.nih.gov/pubmed/29276770 http://dx.doi.org/10.1016/j.clinms.2016.11.002 |
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