ArticleJournal of proteome research2018
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.
Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- Metabolomics in Parkinson's Disease and Correlation with Disease State.Metabolites · 2025Review
- Chromatographic Choice in Cerebrospinal Fluid Metabolomics Identification Outcome : Metabolomics for Cerebrospinal Fluid.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Metabolite Analysis from Protein Deposits.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Sportomics Analyses of the Exercise-Induced Impact on Amino Acid Metabolism and Acute-Phase Protein Kinetics in Female Olympic Athletes.Nutrients · 2024Article
- COLMARppm: A Web Server Tool for the Accurate and Rapid Prediction ofAnalytical chemistry · 2024Article
- A Strategy for Uncovering the Serum Metabolome by Direct-Infusion High-Resolution Mass Spectrometry.Metabolites · 2023Article
- Examination of human osteoarchaeological remains as a feasible source of polar and apolar metabolites to study past conditions.Scientific reports · 2023Article
- Large-Scale Interlaboratory DI-FT-ICR MS Comparability Study Employing Various Systems.Journal of the American Society for Mass Spectrometry · 2022Article
- Sex differences in the human metabolome.Biology of sex differences · 2022Review
- Baseline Plasma Metabotype Correlates With Direct-Acting Antiviral Therapy Nonresponse for HCV in HIV-HCV Coinfected Patients.Frontiers in molecular biosciences · 2021Article
- Chemical profiling of root bark extract fromPeerJ · 2021Article
- Accurate and Efficient Determination of Unknown Metabolites in Metabolomics by NMR-Based Molecular Motif Identification.Analytical chemistry · 2019Article
- Ultrahigh-Performance Liquid Chromatography Tandem Mass Spectrometry with Electrospray Ionization Quantification of Tryptophan Metabolites and Markers of Gut Health in Serum and Plasma-Application to Clinical and Epidemiology Cohorts.Analytical chemistry · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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.
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