ArticleMolecular genetics & genomic medicine2021
Individual variability in human urinary metabolites identifies age-related, body mass index-related, and sex-related biomarkers.
Article in Molecular genetics & genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Urinary Metabolites during Pregnancy: A Literature Review.ACS nutrition science · 2026Review
- Influence of pre-analytical factors and biological variability on the urinary volatilome.Analytical and bioanalytical chemistry · 2025Article
- Recent Electrochemical Advancements for Liquid-Biopsy Nucleic Acid Detection for Point-of-Care Prostate Cancer Diagnostics and Prognostics.Biosensors · 2024Review
- Potential Metabolite Biomarkers of Multiple Sclerosis from Multiple Biofluids.ACS chemical neuroscience · 2024Article
- Leveraging a graft collection to develop metabolome-based trait prediction for the selection of tomato rootstocks with enhanced salt tolerance.Horticulture research · 2022Article
- Individual variability in human urinary metabolites identifies age-related, body mass index-related, and sex-related biomarkers.Molecular genetics & genomic medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
backgroundMetabolites present in human urine can be influenced by individual physiological parameters (e.g., body mass index [BMI], age, and sex). Observation of altered metabolites concentrations could provide insight into underlying disease pathology, disease prognosis and diagnosis, and facilitate discovery of novel biomarkers.
methodsQuantitative metabolomics analysis in the urine of 183 healthy individuals was performed based on high-resolution liquid chromatography-mass spectrometry (LC-MS). Coefficients of variation were obtained for 109 urine metabolites of all the 183 human healthy subjects.
resultsThree urine metabolites (such as dehydroepiandrosterone sulfate, acetaminophen glucuronide, and p-anisic acid) with CV
conclusionMetabolic differences between distinct physiological statuses were found to be related to several metabolic pathways (such as the caffeine metabolism, the amino acid metabolism, and the carbohydrate metabolism), and these findings may be key for the discovery of new diagnostics and treatments as well as new understandings on the mechanisms of some related diseases.
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