Malkar et al_Metabolomics 2013_Biomarkers of stress_accepted manuscript.pdf (1.36 MB)

Metabolic profiling of human saliva before and after induced physiological stress by ultra-high performance liquid chromatography-ion mobility-mass spectrometry

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journal contribution
posted on 21.07.2016, 09:35 by Aditya Malkar, Neil A. Devenport, Helen J. Martin, Pareen Patel, Matthew Turner, Phil Watson, Ronald J. Maughan, Helen Reid, Barry Sharp, Paul Thomas, Jim Reynolds, Colin Creaser
A method has been developed for metabolite profiling of the salivary metabolome based on protein precipitation and ultra-high performance liquid chromatography coupled with ion mobility-mass spectrometry (UHPLC–IM–MS). The developed method requires 0.5 mL of human saliva, which is easily obtainable by passive drool. Standard protocols have been established for the collection, storage and pre-treatment of saliva. The use of UHPLC allows rapid global metabolic profiling for biomarker discovery with a cycle time of 15 min. Mass spectrometry imparts the ability to analyse a diverse number of species reproducibly over a wide dynamic range, which is essential for profiling of biofluids. The combination of UHPLC with IM–MS provides an added dimension enabling complex metabolic samples to be separated on the basis of retention time, ion mobility and mass-to-charge ratio in a single chromatographic run. The developed method has been applied to targeted metabolite identification and untargeted metabolite profiling of saliva samples collected before and after exercise-induced physiological stress. δ-Valerolactam has been identified as a potential biomarker on the basis of retention time, MS/MS spectrum and ion mobility drift time.

History

School

  • Science

Department

  • Chemistry

Published in

METABOLOMICS

Volume

9

Issue

6

Pages

1192 - 1201 (10)

Citation

MALKAR, A. ... et al, 2013. Metabolic profiling of human saliva before and after induced physiological stress by ultra-high performance liquid chromatography-ion mobility-mass spectrometry. Metabolomics, 9 (6), pp. 1192 - 1201.

Publisher

© Springer

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2013

Notes

This paper was accepted for publication in the journal, Metabolomics. The final publication is available at Springer via http://dx.doi.org/10.1007/s11306-013-0541-x

ISSN

1573-3882

Language

en

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