Ultra-Performance Liquid Chromatography-High-Resolution Mass Spectrometry and Direct Infusion-High-Resolution Mass Spectrometry for Combined Exploratory and Targeted Metabolic Profiling of Human Urine

Elena Chekmeneva*, Gonçalo Dos Santos Correia, María Gómez-Romero, Jeremiah Stamler, Queenie Chan, Paul Elliott, Jeremy K. Nicholson, Elaine Holmes

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

The application of metabolic phenotyping to epidemiological studies involving thousands of biofluid samples presents a challenge for the selection of analytical platforms that meet the requirements of high-throughput precision analysis and cost-effectiveness. Here direct infusion-nanoelectrospray (DI-nESI) was compared with an ultra-performance liquid chromatography (UPLC)-high-resolution mass spectrometry (HRMS) method for metabolic profiling of an exemplary set of 132 human urine samples from a large epidemiological cohort. Both methods were developed and optimized to allow the simultaneous collection of high-resolution urinary metabolic profiles and quantitative data for a selected panel of 35 metabolites. The total run time for measuring the sample set in both polarities by UPLC-HRMS was 5 days compared with 9 h by DI-nESI-HRMS. To compare the classification ability of the two MS methods, we performed exploratory analysis of the full-scan HRMS profiles to detect sex-related differences in biochemical composition. Although metabolite identification is less specific in DI-nESI-HRMS, the significant features responsible for discrimination between sexes were mostly the same in both MS-based platforms. Using the quantitative data, we showed that 10 metabolites have strong correlation (Pearson's r > 0.9 and Passing-Bablok regression slope of 0.8-1.3) and good agreement assessed by Bland-Altman plots between UPLC-HRMS and DI-nESI-HRMS and thus can be measured using a cheaper and less sample- and time-consuming method. A further twenty metabolites showed acceptable correlation between the two methods with only five metabolites showing weak correlation (Pearson's r < 0.4) and poor agreement due to the overestimation of the results by DI-nESI-HRMS.

Original languageEnglish (US)
Pages (from-to)3492-3502
Number of pages11
JournalJournal of Proteome Research
Volume17
Issue number10
DOIs
StatePublished - Oct 5 2018

Keywords

  • direct infusion mass spectrometry
  • exploratory analysis
  • high-throughput analysis
  • metabolic profiling
  • quantitative analysis
  • ultra-performance liquid chromatography

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

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