Development and validation of a gas chromatography/mass spectrometry metabonomic platform for the global profiling of urinary metabolites

• Published in: Rapid communications in mass spectrometry Vol. 22; no. 19; pp. 2984 - 2992
• Main Authors: Pasikanti, Kishore K., Ho, Paul C., Chan, Eric C. Y.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 15.10.2008
• Subjects: Algorithms; Combinatorial Chemistry Techniques - methods; Gas Chromatography-Mass Spectrometry - methods; Gene Expression Profiling - methods; Proteome - analysis; Reproducibility of Results; Sensitivity and Specificity; Urinalysis - methods
• ISSN: 0951-4198; 1097-0231
• DOI: 10.1002/rcm.3699

This paper presents a simple and reliable gas chromatography/mass spectrometry (GC/MS) method for the metabonomic analysis of human urine samples. The sample preparation involved the depletion of excess urea via treatment with urease and subsequent protein precipitation using ice‐cold ethanol. An aliquot of the mixture was separated, dried, trimethylsilyl (TMS)‐derivatized and 1.0 µL of the derivatized extract was injected into the GC/MS system via split injection (1:10). Approximately 150 putative metabolites belonging to different chemical classes were identified from the pooled human urine samples. All the identified metabolites were selected to evaluate precision and stability of the GC/MS assay. More than 95% of the metabolites demonstrated good reproducibility, with intra‐day and inter‐day precision values below 15%. Metabolic profiling of 53 healthy male and female urine samples in combination with pattern recognition techniques was performed to further validate the GC/MS metabolite profiling assay. Principal component analysis (PCA) followed by orthogonal partial least squares analysis (OPLS) revealed differences between urinary metabolite profiles of healthy male and female subjects. This validated GC/MS metabolic profiling method may be further applied to the metabonomic screening of urinary biomarkers in clinical studies. Copyright © 2008 John Wiley & Sons, Ltd.