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Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study

Metabolomics provides a promising tool for understanding the pathophysiology and identifying biomarkers of atherosclerosis. We aimed to estimate the associations between circulating metabolites and subclinical atherosclerosis in a Chinese cohort. The baseline serum levels of 38 metabolites of 489 in...

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Autores principales: Jiang, Yanfeng, Zhang, Kexun, Zhu, Zhen, Cui, Mei, An, Yanpeng, Wang, Yingzhe, Suo, Chen, Fan, Min, Jin, Li, Tian, Weizhong, Chen, Xingdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467377/
https://www.ncbi.nlm.nih.gov/pubmed/32645693
http://dx.doi.org/10.18632/aging.103456
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author Jiang, Yanfeng
Zhang, Kexun
Zhu, Zhen
Cui, Mei
An, Yanpeng
Wang, Yingzhe
Suo, Chen
Fan, Min
Jin, Li
Tian, Weizhong
Chen, Xingdong
author_facet Jiang, Yanfeng
Zhang, Kexun
Zhu, Zhen
Cui, Mei
An, Yanpeng
Wang, Yingzhe
Suo, Chen
Fan, Min
Jin, Li
Tian, Weizhong
Chen, Xingdong
author_sort Jiang, Yanfeng
collection PubMed
description Metabolomics provides a promising tool for understanding the pathophysiology and identifying biomarkers of atherosclerosis. We aimed to estimate the associations between circulating metabolites and subclinical atherosclerosis in a Chinese cohort. The baseline serum levels of 38 metabolites of 489 individuals were measured using nuclear magnetic resonance. Associations between metabolites and brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (IMT) were determined using a linear regression. A multivariate logistic regression was used to evaluate the associations of metabolites and subclinical atherosclerosis defined as high baPWV (>median) and increased IMT (>median). After adjusting for covariates and multiple testing corrections (false discovery rate; FDR), two branched-chain amino acids (BCAAs; leucine and isoleucine), one ketone (acetoacetate), and two lipids were positively associated with baPWV. Lactate was inversely associated with IMT. Elevated acetoacetate levels (odds ratio: 1.53, 95% confidence interval: 1.20-1.97; FDR <0.001) and four other lipid features were associated with an increased risk of high baPWV. Alterations in circulating lipids and BCAAs were associated with the risk of arterial stiffness in the middle-aged Chinese population. Our findings provide clues to understanding the potential mechanisms of subclinical atherosclerosis; however, further validation in a broader population context and the exploration of potential clinical applications are warranted.
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spelling pubmed-74673772020-09-14 Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study Jiang, Yanfeng Zhang, Kexun Zhu, Zhen Cui, Mei An, Yanpeng Wang, Yingzhe Suo, Chen Fan, Min Jin, Li Tian, Weizhong Chen, Xingdong Aging (Albany NY) Research Paper Metabolomics provides a promising tool for understanding the pathophysiology and identifying biomarkers of atherosclerosis. We aimed to estimate the associations between circulating metabolites and subclinical atherosclerosis in a Chinese cohort. The baseline serum levels of 38 metabolites of 489 individuals were measured using nuclear magnetic resonance. Associations between metabolites and brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (IMT) were determined using a linear regression. A multivariate logistic regression was used to evaluate the associations of metabolites and subclinical atherosclerosis defined as high baPWV (>median) and increased IMT (>median). After adjusting for covariates and multiple testing corrections (false discovery rate; FDR), two branched-chain amino acids (BCAAs; leucine and isoleucine), one ketone (acetoacetate), and two lipids were positively associated with baPWV. Lactate was inversely associated with IMT. Elevated acetoacetate levels (odds ratio: 1.53, 95% confidence interval: 1.20-1.97; FDR <0.001) and four other lipid features were associated with an increased risk of high baPWV. Alterations in circulating lipids and BCAAs were associated with the risk of arterial stiffness in the middle-aged Chinese population. Our findings provide clues to understanding the potential mechanisms of subclinical atherosclerosis; however, further validation in a broader population context and the exploration of potential clinical applications are warranted. Impact Journals 2020-07-09 /pmc/articles/PMC7467377/ /pubmed/32645693 http://dx.doi.org/10.18632/aging.103456 Text en Copyright © 2020 Jiang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Jiang, Yanfeng
Zhang, Kexun
Zhu, Zhen
Cui, Mei
An, Yanpeng
Wang, Yingzhe
Suo, Chen
Fan, Min
Jin, Li
Tian, Weizhong
Chen, Xingdong
Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study
title Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study
title_full Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study
title_fullStr Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study
title_full_unstemmed Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study
title_short Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study
title_sort associations between serum metabolites and subclinical atherosclerosis in a chinese population: the taizhou imaging study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467377/
https://www.ncbi.nlm.nih.gov/pubmed/32645693
http://dx.doi.org/10.18632/aging.103456
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