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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8404239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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