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International Journal of Epidemiology 2008 37(Supplement 1):i23-i30; doi:10.1093/ije/dym281
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Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2008; all rights reserved.

A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols

Warwick B Dunn1,2,*, David Broadhurst1, David I Ellis1, Marie Brown1, Anthony Halsall1, Steven O’Hagan1, Irena Spasic1,2, Andrew Tseng1 and Douglas B Kell1,2

1Bioanalytical Sciences Group, School of Chemistry, Manchester Interdiscplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, M1 7ND, UK.
2Manchester Centre for Integrative Systems Biology, Manchester Interdiscplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, M1 7ND, UK.

* Corresponding author. Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, University of Manchester, 131, Princess St, MANCHESTER M1 7DN, UK. E-mail: Warwick.Dunn{at}manchester.ac.uk


   Abstract

Background The stability of mammalian serum and urine in large metabolomic investigations is essential for accurate, valid and reproducible studies. The stability of mammalian serum and urine, either processed immediately by freezing at –80°C or stored at 4°C for 24 h before being frozen, was compared in a pilot metabolomic study of samples from 40 separate healthy volunteers.

Methods Metabolic profiling with GC-TOF-MS was performed for serum and urine samples collected from 40 volunteers and stored at –80°C or 4°C for 24 h before being frozen at –80°C. Subsequent Wilcoxon rank sum test and Principal Components Analysis (PCA) methods were used to assess whether differences in the metabolomes were detected between samples stored at 4°C for 0 or 24 h.

Results More than 700 unique metabolite peaks were detected, with over 200 metabolite peaks detected in any one sample. PCA and Wilcoxon rank sum tests of serum and urine data showed as a general observation that the variance associated with the replicate analysis per sample (analytical variance) was of the same magnitude as the variance observed between samples stored at 4°C for 0 or 24 h. From a functional point of view the metabolomic composition of the majority of samples did not change in a statistically significant manner when stored under two different conditions.

Conclusions Based on this small pilot study, the UK Biobank sampling, transport and fractionation protocols are considered suitable to provide samples, which can produce scientifically robust and valid data in metabolomic studies.


Keywords Metabolomics, metabolic profiling, GC-MS, univariate analysis, multivariate analysis, biofluid, serum, urine

Accepted 10 December 2007


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