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Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers

BACKGROUND: Metabolites 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 facilit...

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Autores principales: Wang, Tianling, Tang, Lei, Lin, Ruili, He, Dian, Wu, Yanqing, Zhang, Yang, Yang, Pingrong, He, Junquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404239/
https://www.ncbi.nlm.nih.gov/pubmed/34293245
http://dx.doi.org/10.1002/mgg3.1738
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author Wang, Tianling
Tang, Lei
Lin, Ruili
He, Dian
Wu, Yanqing
Zhang, Yang
Yang, Pingrong
He, Junquan
author_facet Wang, Tianling
Tang, Lei
Lin, Ruili
He, Dian
Wu, Yanqing
Zhang, Yang
Yang, Pingrong
He, Junquan
author_sort Wang, Tianling
collection PubMed
description BACKGROUND: Metabolites 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. METHODS: Quantitative 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. RESULTS: Three urine metabolites (such as dehydroepiandrosterone sulfate, acetaminophen glucuronide, and p‐anisic acid) with CV(183) > 0.3, for which metabolomics studies have been scarce, are considered highly variable here. We identified 30 age‐related metabolites, 18 BMI‐related metabolites, and 42 sex‐related metabolites. Among the identified metabolites, three metabolites were found to be associated with all three physiological parameters (age, BMI, and sex), which included dehydroepiandrosterone sulfate, 3‐methylcrotonylglycine and N‐acetyl‐aspartic acid. Pearson's coefficients demonstrated that some age‐, BMI‐, and sex‐related compounds are strongly correlated, suggesting that age, BMI, and sex could affect them concomitantly. CONCLUSION: Metabolic 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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spelling pubmed-84042392021-09-03 Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers Wang, Tianling Tang, Lei Lin, Ruili He, Dian Wu, Yanqing Zhang, Yang Yang, Pingrong He, Junquan Mol Genet Genomic Med Original Articles BACKGROUND: Metabolites 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. METHODS: Quantitative 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. RESULTS: Three urine metabolites (such as dehydroepiandrosterone sulfate, acetaminophen glucuronide, and p‐anisic acid) with CV(183) > 0.3, for which metabolomics studies have been scarce, are considered highly variable here. We identified 30 age‐related metabolites, 18 BMI‐related metabolites, and 42 sex‐related metabolites. Among the identified metabolites, three metabolites were found to be associated with all three physiological parameters (age, BMI, and sex), which included dehydroepiandrosterone sulfate, 3‐methylcrotonylglycine and N‐acetyl‐aspartic acid. Pearson's coefficients demonstrated that some age‐, BMI‐, and sex‐related compounds are strongly correlated, suggesting that age, BMI, and sex could affect them concomitantly. CONCLUSION: Metabolic 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. John Wiley and Sons Inc. 2021-07-22 /pmc/articles/PMC8404239/ /pubmed/34293245 http://dx.doi.org/10.1002/mgg3.1738 Text en © 2021 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Wang, Tianling
Tang, Lei
Lin, Ruili
He, Dian
Wu, Yanqing
Zhang, Yang
Yang, Pingrong
He, Junquan
Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers
title Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers
title_full Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers
title_fullStr Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers
title_full_unstemmed Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers
title_short Individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers
title_sort individual variability in human urinary metabolites identifies age‐related, body mass index‐related, and sex‐related biomarkers
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404239/
https://www.ncbi.nlm.nih.gov/pubmed/34293245
http://dx.doi.org/10.1002/mgg3.1738
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