Data in Brief (Feb 2017)

Dataset of urinary metabolites measured by 1H NMR analysis of normal human urine

  • Marc Cassiède,
  • Sindhu Nair,
  • Meghan Dueck,
  • James Mino,
  • Ryan McKay,
  • Pascal Mercier,
  • Bernadette Quémerais,
  • Paige Lacy

DOI
https://doi.org/10.1016/j.dib.2016.11.101
Journal volume & issue
Vol. 10, no. C
pp. 227 – 229

Abstract

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The data in this article are related to the research entitled, “Assessment of 1H NMR-based metabolomics analysis for normalization of urinary metals against creatinine” (M. Cassiède, S. Nair, M. Dueck, J. Mino, R. McKay, P. Mercier, B. Quémerais, P. Lacy, 2016) [1]. This article describes the analysis of urinary metabolites in normal, healthy individuals by 1H NMR-based metabolomics. NMR spectra of urine samples typically contain hundreds of peaks that must be carefully screened for reproducibility and detectability. An important requirement in the screening of appropriate urinary metabolites is to ensure that they are reproducibly detected. In our study, we applied the peak profiles of 151 known urinary metabolites to 10 normal human urine samples and found that 50 metabolites were reproducibly measured between 600 and 700 MHz magnets in the same samples. The data set has been made publicly available to enable critical or extended analysis.

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