Development and Performance of a Gas Chromatography−Time-of-Flight Mass Spectrometry Analysis for Large-Scale Nontargeted Metabolomic Studies of Human Serum

Paul Begley(University of Manchester), Sue Francis‐McIntyre(University of Manchester), Warwick B. Dunn(University of Manchester), David Broadhurst(University of Manchester), Antony Halsall(University of Manchester), Andy Tseng(University of Manchester), Joshua Knowles(University of Manchester), HUSERMET Consortium,(University of Manchester), Royston Goodacre(University of Manchester), Douglas B. Kell(University of Manchester)
Analytical Chemistry
July 16, 2009
Cited by 193

Abstract

A method for the preparation and GC-TOF-MS analysis of human serum samples has been developed and evaluated for application in long-term metabolomic studies. Serum samples were deproteinized using 3:1 methanol/serum, dried in a vacuum concentrator, and chemically derivatized in a two-stage process. Samples were analyzed by GC-TOF-MS with a 25 min analysis time. In addition, quality control (QC) samples were used to quantify process variability. Optimization of chemical derivatization was performed. Products were found to be stable for 30 h after derivatization. An assessment of within-day repeatability and within-week reproducibility demonstrates that excellent performance is observed with our developed method. Analyses were consistent over a 5 month period. Additional method testing, using spiked serum samples, showed the ability to define metabolite differences between samples from a population and samples spiked with metabolites standards. This methodology allows the continuous acquisition and application of data acquired over many months in long-term metabolomic studies, including the HUSERMET project (http://www.husermet.org/).


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