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A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome

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 we...

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Autores principales: Xu, Jiyu, Zheng, Shuxin, Li, Mimi, Liu, Xiaoyan, Sun, Haidan, Guo, Zhengguang, Wei, Jing, Jia, Lulu, Sun, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497905/
https://www.ncbi.nlm.nih.gov/pubmed/36140585
http://dx.doi.org/10.3390/diagnostics12092184
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author Xu, Jiyu
Zheng, Shuxin
Li, Mimi
Liu, Xiaoyan
Sun, Haidan
Guo, Zhengguang
Wei, Jing
Jia, Lulu
Sun, Wei
author_facet Xu, Jiyu
Zheng, Shuxin
Li, Mimi
Liu, Xiaoyan
Sun, Haidan
Guo, Zhengguang
Wei, Jing
Jia, Lulu
Sun, Wei
author_sort Xu, Jiyu
collection PubMed
description 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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spelling pubmed-94979052022-09-23 A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome Xu, Jiyu Zheng, Shuxin Li, Mimi Liu, Xiaoyan Sun, Haidan Guo, Zhengguang Wei, Jing Jia, Lulu Sun, Wei Diagnostics (Basel) Article 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. MDPI 2022-09-09 /pmc/articles/PMC9497905/ /pubmed/36140585 http://dx.doi.org/10.3390/diagnostics12092184 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Jiyu
Zheng, Shuxin
Li, Mimi
Liu, Xiaoyan
Sun, Haidan
Guo, Zhengguang
Wei, Jing
Jia, Lulu
Sun, Wei
A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome
title A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome
title_full A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome
title_fullStr A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome
title_full_unstemmed A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome
title_short A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome
title_sort comprehensive 2d-lc/ms/ms profile of the normal human urinary metabolome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497905/
https://www.ncbi.nlm.nih.gov/pubmed/36140585
http://dx.doi.org/10.3390/diagnostics12092184
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