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SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids
Author(s) -
Xing Zhang,
Michelle V. Romm,
Xueyun Zheng,
Erika Zink,
YoungMo Kim,
Kristin Burnum-Johnson,
Danny Orton,
Alex Apffel,
Yehia Ibrahim,
Matthew Monroe,
Ronald J. Moore,
Jordan N. Smith,
Jian Ma,
Ryan Renslow,
Dennis Thomas,
Anne E. Blackwell,
Glenn Swinford,
John Sausen,
Ruwan T. Kurulugama,
Nathan Eno,
E. J. Darland,
George Stafford,
John C. Fjeldsted,
Thomas Metz,
Justin Teeguarden,
Richard Smith,
Erin Baker
Publication year - 2016
Publication title -
clinical mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.473
H-Index - 8
eISSN - 2376-9998
pISSN - 2213-8005
DOI - 10.1016/j.clinms.2016.11.002
Subject(s) - xenobiotic , metabolomics , population , chemistry , mass spectrometry , endogeny , sample preparation , chromatography , computational biology , biology , medicine , biochemistry , environmental health , enzyme
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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