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.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Study ID | ST000092 |
Study Title | A statistical analysis of the effects of urease pre-treatment on the measurement of the urinary metabolome by gas chromatographymass spectrometry |
Study Type | Analytical Comparison |
Study Summary | Urease 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 chromatographymass spectrometry (GCMS). 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 GCMS. In total, 235 GCMS 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 |
Department | Biological Separation and Mass Spectrometry |
Last Name | Metz |
First Name | Thomas |
thomas.metz@pnnl.gov | |
Submit Date | 2014-06-25 |
Num Groups | 6 |
Total Subjects | 235 |
Raw Data Available | Yes |
Raw Data File Type(s) | cdf |
Uploaded File Size | 3.0 G |
Analysis Type Detail | GC-MS |
Release Date | 2014-08-07 |
Release Version | 1 |
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Combined analysis:
Analysis ID | AN000146 |
---|---|
Analysis type | MS |
Chromatography type | GC |
Chromatography system | Agilent 7890A |
Column | Agilent HP5-MS (30m × 0.25mm, 0.25 um) |
MS Type | EI |
MS instrument type | Single quadrupole |
MS instrument name | Agilent 5975C |
Ion Mode | POSITIVE |
Units | Peak area |