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Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients

Diabetic cardiomyopathy (DCM) is one of the most essential cardiovascular complications in diabetic patients associated with glucose and lipid metabolism disorder, fibrosis, oxidative stress, and inflammation in cardiomyocytes. Despite increasing research on the molecular pathogenesis of DCM, it is...

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Autores principales: Hao, Mingyu, Deng, Jianxin, Huang, Xiaohong, Li, Haiyan, Ou, Huiting, Cai, Xiangsheng, She, Jiajie, Liu, Xueting, Chen, Ling, Chen, Shujuan, Liu, Wenlan, Yan, Dewen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150260/
https://www.ncbi.nlm.nih.gov/pubmed/35651872
http://dx.doi.org/10.3389/fphys.2022.863347
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author Hao, Mingyu
Deng, Jianxin
Huang, Xiaohong
Li, Haiyan
Ou, Huiting
Cai, Xiangsheng
She, Jiajie
Liu, Xueting
Chen, Ling
Chen, Shujuan
Liu, Wenlan
Yan, Dewen
author_facet Hao, Mingyu
Deng, Jianxin
Huang, Xiaohong
Li, Haiyan
Ou, Huiting
Cai, Xiangsheng
She, Jiajie
Liu, Xueting
Chen, Ling
Chen, Shujuan
Liu, Wenlan
Yan, Dewen
author_sort Hao, Mingyu
collection PubMed
description Diabetic cardiomyopathy (DCM) is one of the most essential cardiovascular complications in diabetic patients associated with glucose and lipid metabolism disorder, fibrosis, oxidative stress, and inflammation in cardiomyocytes. Despite increasing research on the molecular pathogenesis of DCM, it is still unclear whether metabolic pathways and alterations are probably involved in the development of DCM. This study aims to characterize the metabolites of DCM and to identify the relationship between metabolites and their biological processes or biological states through untargeted metabolic profiling. UPLC-MS/MS was applied to profile plasma metabolites from 78 patients with diabetes (39 diabetes with DCM and 39 diabetes without DCM as controls). A total of 2,806 biochemical were detected. Compared to those of DM patients, 78 differential metabolites in the positive-ion mode were identified in DCM patients, including 33 up-regulated and 45 down-regulated metabolites; however, there were only six differential metabolites identified in the negative mode including four up-regulated and two down-regulated metabolites. Alterations of several serum metabolites, including lipids and lipid-like molecules, organic acids and derivatives, organic oxygen compounds, benzenoids, phenylpropanoids and polyketides, and organoheterocyclic compounds, were associated with the development of DCM. KEGG enrichment analysis showed that there were three signaling pathways (metabolic pathways, porphyrin, chlorophyll metabolism, and lysine degradation) that were changed in both negative- and positive-ion modes. Our results demonstrated that differential metabolites and lipids have specific effects on DCM. These results expanded our understanding of the metabolic characteristics of DCM and may provide a clue in the future investigation of reducing the incidence of DCM. Furthermore, the metabolites identified here may provide clues for clinical management and the development of effective drugs.
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spelling pubmed-91502602022-05-31 Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients Hao, Mingyu Deng, Jianxin Huang, Xiaohong Li, Haiyan Ou, Huiting Cai, Xiangsheng She, Jiajie Liu, Xueting Chen, Ling Chen, Shujuan Liu, Wenlan Yan, Dewen Front Physiol Physiology Diabetic cardiomyopathy (DCM) is one of the most essential cardiovascular complications in diabetic patients associated with glucose and lipid metabolism disorder, fibrosis, oxidative stress, and inflammation in cardiomyocytes. Despite increasing research on the molecular pathogenesis of DCM, it is still unclear whether metabolic pathways and alterations are probably involved in the development of DCM. This study aims to characterize the metabolites of DCM and to identify the relationship between metabolites and their biological processes or biological states through untargeted metabolic profiling. UPLC-MS/MS was applied to profile plasma metabolites from 78 patients with diabetes (39 diabetes with DCM and 39 diabetes without DCM as controls). A total of 2,806 biochemical were detected. Compared to those of DM patients, 78 differential metabolites in the positive-ion mode were identified in DCM patients, including 33 up-regulated and 45 down-regulated metabolites; however, there were only six differential metabolites identified in the negative mode including four up-regulated and two down-regulated metabolites. Alterations of several serum metabolites, including lipids and lipid-like molecules, organic acids and derivatives, organic oxygen compounds, benzenoids, phenylpropanoids and polyketides, and organoheterocyclic compounds, were associated with the development of DCM. KEGG enrichment analysis showed that there were three signaling pathways (metabolic pathways, porphyrin, chlorophyll metabolism, and lysine degradation) that were changed in both negative- and positive-ion modes. Our results demonstrated that differential metabolites and lipids have specific effects on DCM. These results expanded our understanding of the metabolic characteristics of DCM and may provide a clue in the future investigation of reducing the incidence of DCM. Furthermore, the metabolites identified here may provide clues for clinical management and the development of effective drugs. Frontiers Media S.A. 2022-05-09 /pmc/articles/PMC9150260/ /pubmed/35651872 http://dx.doi.org/10.3389/fphys.2022.863347 Text en Copyright © 2022 Hao, Deng, Huang, Li, Ou, Cai, She, Liu, Chen, Chen, Liu and Yan. https://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
Hao, Mingyu
Deng, Jianxin
Huang, Xiaohong
Li, Haiyan
Ou, Huiting
Cai, Xiangsheng
She, Jiajie
Liu, Xueting
Chen, Ling
Chen, Shujuan
Liu, Wenlan
Yan, Dewen
Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients
title Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients
title_full Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients
title_fullStr Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients
title_full_unstemmed Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients
title_short Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients
title_sort metabonomic characteristics of myocardial diastolic dysfunction in type 2 diabetic cardiomyopathy patients
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150260/
https://www.ncbi.nlm.nih.gov/pubmed/35651872
http://dx.doi.org/10.3389/fphys.2022.863347
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