Summary of Study ST000092

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000084. The data can be accessed directly via it's Project DOI: 10.21228/M8PK5V This work is supported by NIH grant, U2C- DK119886.

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Study IDST000092
Study TitleA statistical analysis of the effects of urease pre-treatment on the measurement of the urinary metabolome by gas chromatography–mass spectrometry
Study TypeAnalytical Comparison
Study SummaryUrease pre-treatment of urine has been utilized since the early 1960s to remove high levels of urea from samples prior to further processing and analysis by gas chromatography–mass spectrometry (GC–MS). Aside from the obvious depletion or elimination of urea, the effect, if any, of urease pre-treatment on the urinary metabolome has not been studied in detail. Here, we report the results of three separate but related experiments that were designed to assess possible indirect effects of urease pre-treatment on the urinary metabolome as measured by GC–MS. In total, 235 GC–MS analyses were performed and over 106 identified and 200 unidentified metabolites were quantified across the three experiments. The results showed that data from urease pre-treated samples (1) had the same or lower coefficients of variance among reproducibly detected metabolites, (2) more accurately reflected quantitative differences and the expected ratios among different urine volumes, and (3) increased the number of metabolite identifications. Overall, we observed no negative consequences of urease pre-treatment. In contrast, urease pre-treatment enhanced the ability to distinguish between volume-based and biological sample types compared to no treatment. Taken together, these results show that urease pre-treatment of urine offers multiple beneficial effects that outweigh any artifacts that may be introduced to the data in urinary metabolomics analyses.
Institute
Pacific Northwest National Laboratory
DepartmentBiological Separation and Mass Spectrometry
Last NameMetz
First NameThomas
Emailthomas.metz@pnnl.gov
Submit Date2014-06-25
Num Groups6
Total Subjects235
Raw Data AvailableYes
Raw Data File Type(s)cdf
Uploaded File Size3.0 G
Analysis Type DetailGC-MS
Release Date2014-08-07
Release Version1
Thomas Metz Thomas Metz
https://dx.doi.org/10.21228/M8PK5V
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Subject:

Subject ID:SU000111
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Gender:Male and Female
Human Race:Hispanic, Aisan, Caucasian
Species Group:Human
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