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Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients

Myocardial infarction (MI) is a common and multifactorial disease that has the highest morbidity and mortality in the world. Although a number of physiological, pathological, and functional parameters have been investigated, only scarce information regarding the changes of small metabolites in the p...

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Autores principales: Zhu, Mingdan, Han, Yanqi, Zhang, Yu, Zhang, Shaoqiang, Wei, Congcong, Cong, Zidong, Du, Wuxun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123371/
https://www.ncbi.nlm.nih.gov/pubmed/30210352
http://dx.doi.org/10.3389/fphys.2018.01017
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author Zhu, Mingdan
Han, Yanqi
Zhang, Yu
Zhang, Shaoqiang
Wei, Congcong
Cong, Zidong
Du, Wuxun
author_facet Zhu, Mingdan
Han, Yanqi
Zhang, Yu
Zhang, Shaoqiang
Wei, Congcong
Cong, Zidong
Du, Wuxun
author_sort Zhu, Mingdan
collection PubMed
description Myocardial infarction (MI) is a common and multifactorial disease that has the highest morbidity and mortality in the world. Although a number of physiological, pathological, and functional parameters have been investigated, only scarce information regarding the changes of small metabolites in the plasma has been reported, and this lack of information may cause poor MI diagnosis and treatment. In the present study, we aimed to investigate the metabolic profiles of plasma samples from MI patients to identify potential disease biomarkers and to study the pathology of MI. Metabolic profiles of the plasma of 30 MI patients and 30 controls were obtained using ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry. The resulting data were processed using pattern recognition approaches, including principal component analysis and partial least squares-discriminant analysis, to identify the metabolites that differed between the groups. Significant differences in the plasma levels of the following 10 metabolites were observed in the MI patients compared with the controls: phosphatidylserine, C16-sphingosine, N-methyl arachidonic amide, N-(2-methoxyethyl) arachidonic amide, linoleamidoglycerophosphate choline, lyso-PC (C18:2), lyso-PC (C16:0), lyso-PC (C18:1), arachidonic acid, and linoleic acid. The changes in these 10 biomarkers indicated perturbations of energy metabolism, phospholipid metabolism, and fatty acid metabolism in the MI patients. These findings hold promise to advance the treatment, diagnosis, and prevention of MI.
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spelling pubmed-61233712018-09-12 Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients Zhu, Mingdan Han, Yanqi Zhang, Yu Zhang, Shaoqiang Wei, Congcong Cong, Zidong Du, Wuxun Front Physiol Physiology Myocardial infarction (MI) is a common and multifactorial disease that has the highest morbidity and mortality in the world. Although a number of physiological, pathological, and functional parameters have been investigated, only scarce information regarding the changes of small metabolites in the plasma has been reported, and this lack of information may cause poor MI diagnosis and treatment. In the present study, we aimed to investigate the metabolic profiles of plasma samples from MI patients to identify potential disease biomarkers and to study the pathology of MI. Metabolic profiles of the plasma of 30 MI patients and 30 controls were obtained using ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry. The resulting data were processed using pattern recognition approaches, including principal component analysis and partial least squares-discriminant analysis, to identify the metabolites that differed between the groups. Significant differences in the plasma levels of the following 10 metabolites were observed in the MI patients compared with the controls: phosphatidylserine, C16-sphingosine, N-methyl arachidonic amide, N-(2-methoxyethyl) arachidonic amide, linoleamidoglycerophosphate choline, lyso-PC (C18:2), lyso-PC (C16:0), lyso-PC (C18:1), arachidonic acid, and linoleic acid. The changes in these 10 biomarkers indicated perturbations of energy metabolism, phospholipid metabolism, and fatty acid metabolism in the MI patients. These findings hold promise to advance the treatment, diagnosis, and prevention of MI. Frontiers Media S.A. 2018-08-29 /pmc/articles/PMC6123371/ /pubmed/30210352 http://dx.doi.org/10.3389/fphys.2018.01017 Text en Copyright © 2018 Zhu, Han, Zhang, Zhang, Wei, Cong and Du. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Zhu, Mingdan
Han, Yanqi
Zhang, Yu
Zhang, Shaoqiang
Wei, Congcong
Cong, Zidong
Du, Wuxun
Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients
title Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients
title_full Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients
title_fullStr Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients
title_full_unstemmed Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients
title_short Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients
title_sort metabolomics study of the biochemical changes in the plasma of myocardial infarction patients
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123371/
https://www.ncbi.nlm.nih.gov/pubmed/30210352
http://dx.doi.org/10.3389/fphys.2018.01017
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