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Identification of Potential Metabolic Markers of Hypertension in Chinese Children

BACKGROUND: Studies in adults have shown that several metabolites across multiple pathways are strongly associated with hypertension. However, as yet, to our knowledge, no study has investigated such association in childhood. We, therefore, compared the serum metabolite profile of children with norm...

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Autores principales: Sun, Jiahong, Zhao, Min, Yang, Liu, Liu, Xue, Pacifico, Lucia, Chiesa, Claudio, Xi, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410451/
https://www.ncbi.nlm.nih.gov/pubmed/34484817
http://dx.doi.org/10.1155/2021/6691734
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author Sun, Jiahong
Zhao, Min
Yang, Liu
Liu, Xue
Pacifico, Lucia
Chiesa, Claudio
Xi, Bo
author_facet Sun, Jiahong
Zhao, Min
Yang, Liu
Liu, Xue
Pacifico, Lucia
Chiesa, Claudio
Xi, Bo
author_sort Sun, Jiahong
collection PubMed
description BACKGROUND: Studies in adults have shown that several metabolites across multiple pathways are strongly associated with hypertension. However, as yet, to our knowledge, no study has investigated such association in childhood. We, therefore, compared the serum metabolite profile of children with normal and elevated blood pressure (BP) to identify potential metabolic markers and pathways that could be useful for the assessment of pediatric hypertension. METHODS: The study included 26 hypertensive children (age range, 6–11 years) and 26 age- and sex-matched ones with normal BP, who were recruited from the baseline survey of the Huantai Childhood Cardiovascular Health Cohort Study. Ultrahigh-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry was performed to assess the serum metabolite profile. Logistic regression analysis was used to select significant metabolites associated with hypertension after adjustment for body mass index, waist circumference, and lipid profile. Kyoto Encyclopedia of Genes and Genomes (KEGG) and MetaboAnalyst were utilized to search for the potential pathways of metabolites. RESULTS: A total of 45 and 34 metabolites were preliminarily screened in positive and negative modes, respectively (variable importance in the projection (VIP) > 1.0 and P < 0.05). After adjustment for the false discovery rate, 7 and 1 differential metabolites in the positive and negative modes, respectively, remained significant (VIP > 1.0 and q < 0.05). These metabolites were mainly involved in amino acid metabolism and glycerophospholipid metabolism. Among these, two significant metabolites including ethanolamine and 2-methyl-3-hydroxy-5-formylpyridine-4-carboxylate displayed an area under the curve value of 0.820 (95% confidence interval, 0.688–0.951), with a sensitivity of 0.846 and a specificity of 0.769. CONCLUSION: The untargeted metabolomics approach effectively identified the differential serum metabolite profile in children with and without hypertension. Notably, two metabolites including ethanolamine and 2-methyl-3-hydroxy-5-formylpyridine-4-carboxylate exhibited a good discriminative ability to identify children with hypertension, providing new insights into potential mechanisms of pediatric hypertension.
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spelling pubmed-84104512021-09-02 Identification of Potential Metabolic Markers of Hypertension in Chinese Children Sun, Jiahong Zhao, Min Yang, Liu Liu, Xue Pacifico, Lucia Chiesa, Claudio Xi, Bo Int J Hypertens Research Article BACKGROUND: Studies in adults have shown that several metabolites across multiple pathways are strongly associated with hypertension. However, as yet, to our knowledge, no study has investigated such association in childhood. We, therefore, compared the serum metabolite profile of children with normal and elevated blood pressure (BP) to identify potential metabolic markers and pathways that could be useful for the assessment of pediatric hypertension. METHODS: The study included 26 hypertensive children (age range, 6–11 years) and 26 age- and sex-matched ones with normal BP, who were recruited from the baseline survey of the Huantai Childhood Cardiovascular Health Cohort Study. Ultrahigh-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry was performed to assess the serum metabolite profile. Logistic regression analysis was used to select significant metabolites associated with hypertension after adjustment for body mass index, waist circumference, and lipid profile. Kyoto Encyclopedia of Genes and Genomes (KEGG) and MetaboAnalyst were utilized to search for the potential pathways of metabolites. RESULTS: A total of 45 and 34 metabolites were preliminarily screened in positive and negative modes, respectively (variable importance in the projection (VIP) > 1.0 and P < 0.05). After adjustment for the false discovery rate, 7 and 1 differential metabolites in the positive and negative modes, respectively, remained significant (VIP > 1.0 and q < 0.05). These metabolites were mainly involved in amino acid metabolism and glycerophospholipid metabolism. Among these, two significant metabolites including ethanolamine and 2-methyl-3-hydroxy-5-formylpyridine-4-carboxylate displayed an area under the curve value of 0.820 (95% confidence interval, 0.688–0.951), with a sensitivity of 0.846 and a specificity of 0.769. CONCLUSION: The untargeted metabolomics approach effectively identified the differential serum metabolite profile in children with and without hypertension. Notably, two metabolites including ethanolamine and 2-methyl-3-hydroxy-5-formylpyridine-4-carboxylate exhibited a good discriminative ability to identify children with hypertension, providing new insights into potential mechanisms of pediatric hypertension. Hindawi 2021-08-24 /pmc/articles/PMC8410451/ /pubmed/34484817 http://dx.doi.org/10.1155/2021/6691734 Text en Copyright © 2021 Jiahong Sun et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sun, Jiahong
Zhao, Min
Yang, Liu
Liu, Xue
Pacifico, Lucia
Chiesa, Claudio
Xi, Bo
Identification of Potential Metabolic Markers of Hypertension in Chinese Children
title Identification of Potential Metabolic Markers of Hypertension in Chinese Children
title_full Identification of Potential Metabolic Markers of Hypertension in Chinese Children
title_fullStr Identification of Potential Metabolic Markers of Hypertension in Chinese Children
title_full_unstemmed Identification of Potential Metabolic Markers of Hypertension in Chinese Children
title_short Identification of Potential Metabolic Markers of Hypertension in Chinese Children
title_sort identification of potential metabolic markers of hypertension in chinese children
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410451/
https://www.ncbi.nlm.nih.gov/pubmed/34484817
http://dx.doi.org/10.1155/2021/6691734
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