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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
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.
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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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