Untargeted metabolic profiling of saliva by liquid chromatography-mass spectrometry for the identification of potential diagnostic biomarkers of asthma

Abstract

Colin (2016) Untargeted metabolic profiling of saliva by liquid chromatography-mass spectrometry for the identification of potential diagnostic biomarkers of asthma. Analytical Methods, 8 (27 A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. AbstractCurrent clinical tests employed to diagnose asthma are inaccurate and limited by their invasive nature. New metabolite profiling technologies offer an opportunity to improve asthma diagnosis using non-invasive sampling. A rapid analytical method for metabolite profiling of saliva is reported using ultra-high performance liquid chromatography combined with high resolution time-of-flight mass spectrometry (UHPLC-MS). The only sample pretreatment required was protein precipitation with acetonitrile. The method has been applied to a pilot study of saliva samples obtained by passive drool from well phenotyped patients with asthma and healthy controls. Stepwise data reduction and multivariate statistical analysis was performed on the complex dataset obtained from the UHPLC-MS analysis to identify potential metabolomic biomarkers of asthma in saliva. Ten discriminant features were identified that distinguished between moderate asthma and healthy control samples with an overall recognition ability of 80% during training of the model and 97% for model crossvalidation. The reported method demonstrates the potential for a non-invasive approach to the clinical diagnosis of asthma using mass spectrometry-based metabolic profiling of saliva.2

Combined hydrophilic interaction liquid chromatography-scanning field asymmetric waveform ion mobility spectrometry-time-of-flight mass spectrometry for untargeted metabolomics

“…Metabolic profiling of urine samples was performed by combining separation on a HILIC stationary phase with fast-scanning FAIMS (1 scan s −1 ) and a TOF mass spectrometer (20 scan s −1 ), resulting in the acquisition of three-dimensional (retention time, compensation field, and m/z datasets. Method development for the chromatographic separation was carried out using a solution of two organic compounds with different polarity [30]. The less polar compound, hydrocortisone, was eluted at the very beginning of the chromatography run (0.802 min) while the quaternary ammonium compound L-carnitine was strongly retained on HILIC column and eluted with a retention time of 8.21 min, towards the end of the 9-min chromatographic run.…”

Increasing Peak Capacity in Nontargeted Omics Applications by Combining Full Scan Field Asymmetric Waveform Ion Mobility Spectrometry with Liquid Chromatography–Mass Spectrometry

“…A protein precipitation method previously reported was adapted and used in this study. , Aliquots of urine (500 μL) stored at −80 °C were thawed at room temperature for 20 min. The thawed urine sample was vortexed for 30 s followed by ultrasonication for 1 min to ensure sample homogeneity prior to the addition of cold (4 °C) ACN (1 mL) to the urine aliquot .…”

A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research

“…A more recent, untargeted UHPLC-Time of Flight-MS (UHPLC-TOF-MS) analysis also indicated the presence of about 10 diagnostic biomarkers of asthma. Some of these potential biomarkers, especially those with a lower carbon number (C 5 –C 15 ; 100 < m / z > 450) were observed to be upregulated during the asthma condition compared to the higher molecular weight biomarkers (C 11 –C 28 ; based compounds 220 < m / z > 600) [ 44 ].…”