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A Complete Pipeline for Untargeted Urinary Volatolomic Profiling with Sorptive Extraction and Dual Polar and Nonpolar Column Methodologies Coupled with Gas Chromatography Time-of-Flight Mass Spectrometry
Journal article   Open access   Peer reviewed

A Complete Pipeline for Untargeted Urinary Volatolomic Profiling with Sorptive Extraction and Dual Polar and Nonpolar Column Methodologies Coupled with Gas Chromatography Time-of-Flight Mass Spectrometry

Qing Wen, Antonis Myridakis, Piers R Boshier, Simone Zuffa, Ilaria Belluomo, Aaron G Parker, Sung-Tong Chin, Stephanie Hakim, Sheraz R Markar and George B Hanna
Analytical chemistry (Washington), Vol.95(2), pp.758-765
2023
PMID: 36602225
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Published2.43 MBDownloadView
CC BY V4.0 Open Access

Abstract

Biomarkers Gas Chromatography-Mass Spectrometry - methods Humans Mass Spectrometry Volatile Organic Compounds - analysis Analytical chemistry Proteomics and metabolomics
Volatolomics offers an opportunity for noninvasive detection and monitoring of human disease. While gas chromatography–mass spectrometry (GC–MS) remains the technique of choice for analyzing volatile organic compounds (VOCs), barriers to wider adoption in clinical practice still exist, including: sample preparation and introduction techniques, VOC extraction, throughput, volatolome coverage, biological interpretation, and quality control (QC). Therefore, we developed a complete pipeline for untargeted urinary volatolomic profiling. We optimized a novel extraction technique using HiSorb sorptive extraction, which exhibited high analytical performance and throughput. We achieved a broader VOC coverage by using HiSorb coupled with a set of complementary chromatographic methods and time-of-flight mass spectrometry. Furthermore, we developed a data preprocessing strategy by evaluating internal standard normalization, batch correction, and we adopted strict QC measures including removal of nonlinearly responding, irreproducible, or contaminated metabolic features, ensuring the acquisition of high-quality data. The applicability of this pipeline was evaluated in a clinical cohort consisting of pancreatic ductal adenocarcinoma (PDAC) patients (n = 28) and controls (n = 33), identifying four urinary candidate biomarkers (2-pentanone, hexanal, 3-hexanone, and p-cymene), which can successfully discriminate the cancer and noncancer subjects. This study presents an optimized, high-throughput, and quality-controlled pipeline for untargeted urinary volatolomic profiling. Use of the pipeline to discriminate PDAC from control subjects provides proof of principal of its clinical utility and potential for application in future biomarker discovery studies.

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3 Agriculture, Environment & Ecology
3.220 Smell & Taste Science
3.220.1595 Electronic Nose
Web Of Science research areas
Chemistry, Analytical
ESI research areas
Chemistry
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