Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review

Published

Journal Article (Review)

© 2014, The Author(s). The metabolic composition of human biofluids can provide important diagnostic and prognostic information. Among the biofluids most commonly analyzed in metabolomic studies, urine appears to be particularly useful. It is abundant, readily available, easily stored and can be collected by simple, noninvasive techniques. Moreover, given its chemical complexity, urine is particularly rich in potential disease biomarkers. This makes it an ideal biofluid for detecting or monitoring disease processes. Among the metabolomic tools available for urine analysis, NMR spectroscopy has proven to be particularly well-suited, because the technique is highly reproducible and requires minimal sample handling. As it permits the identification and quantification of a wide range of compounds, independent of their chemical properties, NMR spectroscopy has been frequently used to detect or discover disease fingerprints and biomarkers in urine. Although protocols for NMR data acquisition and processing have been standardized, no consensus on protocols for urine sample selection, collection, storage and preparation in NMR-based metabolomic studies have been developed. This lack of consensus may be leading to spurious biomarkers being reported and may account for a general lack of reproducibility between laboratories. Here, we review a large number of published studies on NMR-based urine metabolic profiling with the aim of identifying key variables that may affect the results of metabolomics studies. From this survey, we identify a number of issues that require either standardization or careful accounting in experimental design and provide some recommendations for urine collection, sample preparation and data acquisition.

Full Text

Duke Authors

Cited Authors

  • Emwas, AH; Luchinat, C; Turano, P; Tenori, L; Roy, R; Salek, RM; Ryan, D; Merzaban, JS; Kaddurah-Daouk, R; Zeri, AC; Nagana Gowda, GA; Raftery, D; Wang, Y; Brennan, L; Wishart, DS

Published Date

  • November 21, 2015

Published In

Volume / Issue

  • 11 / 4

Start / End Page

  • 872 - 894

Electronic International Standard Serial Number (EISSN)

  • 1573-3890

International Standard Serial Number (ISSN)

  • 1573-3882

Digital Object Identifier (DOI)

  • 10.1007/s11306-014-0746-7

Citation Source

  • Scopus