ArticleDiagnostics (Basel, Switzerland)2022
A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 6 citations in OpenAlex.
- Cerebral salt wasting syndrome as a probable cause of postoperative polyuria in patients with supratentorial Non-midline tumors: A prospective observational study with targeted and quantitative metabolomic approach.Neurosurgical review · 2025Observational
- The Role of Metabolomics and Microbiology in Urinary Tract Infection.International journal of molecular sciences · 2024Review
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Authors and funding
9 authors at 4 institutions in 2 countries.
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Abstract
Profiling bodily fluids is crucial for monitoring and discovering metabolic markers of disease. In this study, a comprehensive analysis approach based on 1D-LC-MS/MS and 2D-LC-MS/MS was applied to profile normal human urine metabolites from 348 children and 315 adults. A total of 2357 metabolites were identified, including 1831 endogenous metabolites and 526 exogenous ones. In total, 1005 metabolites were identified in urine for the first time. The urinary metabolites were mainly involved in amino acid metabolism, small molecule biochemistry, lipid metabolism and cellular compromise. The comparison of adult's and children's urine metabolomes showed adults urine had more metabolites involved in immune response than children's, but the function of binding of melatonin, which belongs to the endocrine system, showed a higher expression in children. The urine metabolites detected by the 1D-LC-MS/MS method were mainly related to amino acid metabolism and lipid metabolism, and the 2D-LC-MS/MS method not only explored metabolites from 1D-LC-MS/MS but also metabolites related to cell signaling, cell function and maintenance, etc. Our analysis comprehensively profiled and functionally annotated the metabolome of normal human urine, which would benefit the application of urinary metabolome to clinical research.
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