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SPE-IMS-MS: An automated platform for sub-sixty second surveillance of endogenous metabolites and xenobiotics in biofluids

Authors :
Matthew E. Monroe
Kristin E. Burnum-Johnson
Ruwan T. Kurulugama
Michelle V. Romm
Glenn Swinford
Daniel J. Orton
John Sausen
Ronald J. Moore
Ed Darland
Xueyun Zheng
Erin S. Baker
George Stafford
Jian Ma
Jordan N. Smith
Richard D. Smith
John C. Fjeldsted
Justin G. Teeguarden
Erika M. Zink
Yehia M. Ibrahim
Dennis G. Thomas
Thomas O. Metz
Alex Apffel
Nathan Eno
Ryan S. Renslow
Young-Mo Kim
Anne E. Blackwell
Xing Zhang
Source :
Clinical mass spectrometry (Del Mar, Calif.)
Publication Year :
2016

Abstract

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 ⩽ 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.

Details

Language :
English
ISSN :
23769998
Volume :
2
Database :
OpenAIRE
Journal :
Clinical mass spectrometry (Del Mar, Calif.)
Accession number :
edsair.doi.dedup.....aed09568318f59863776014ec8dd98b5