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Systematic Re-evaluation of the Long-used Standard Protocol of Urease-dependent Metabolome Sample Preparation

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Journal PLoS One
Date 2020 Mar 18
PMID 32182259
Citations 5
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Abstract

In the urinary metabolomics for finding biomarkers in urine, owing to high concentrations of urea, for chromatography-based metabolomic analysis, urea needed to be degraded by urease. This urease pretreatment has been the key step of sample preparation for standard urinary metabolomics until today even for mass spectrometry-based analysis. The urease pretreatment involving incubation of urine with urease contradicts the concept of metabolome sampling, which should immediately arrest metabolic reactions to prevent alterations of a metabolite profile. Nonetheless, the impact of urease pretreatment has not been clearly elucidated yet. We found that activities of urease and endogenous urinary enzymes and metabolite contaminants from the urease preparations introduce artefacts into metabolite profiles, thus leading to misinterpretation.

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References
1.
Kamijo A, Sugaya T, Hikawa A, Okada M, Okumura F, Yamanouchi M . Urinary excretion of fatty acid-binding protein reflects stress overload on the proximal tubules. Am J Pathol. 2004; 165(4):1243-55. PMC: 1618632. DOI: 10.1016/S0002-9440(10)63384-6. View

2.
Hult K, Berglund P . Enzyme promiscuity: mechanism and applications. Trends Biotechnol. 2007; 25(5):231-8. DOI: 10.1016/j.tibtech.2007.03.002. View

3.
Kind T, Wohlgemuth G, Lee D, Lu Y, Palazoglu M, Shahbaz S . FiehnLib: mass spectral and retention index libraries for metabolomics based on quadrupole and time-of-flight gas chromatography/mass spectrometry. Anal Chem. 2009; 81(24):10038-48. PMC: 2805091. DOI: 10.1021/ac9019522. View

4.
Johnson C, Ivanisevic J, Siuzdak G . Metabolomics: beyond biomarkers and towards mechanisms. Nat Rev Mol Cell Biol. 2016; 17(7):451-9. PMC: 5729912. DOI: 10.1038/nrm.2016.25. View

5.
Masson P, Alves A, Ebbels T, Nicholson J, Want E . Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS. Anal Chem. 2010; 82(18):7779-86. DOI: 10.1021/ac101722e. View