文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

血浆代谢组学特征可区分扩张型心肌病和缺血性心肌病患者。

Plasma Metabolomic Profiles Differentiate Patients With Dilated Cardiomyopathy and Ischemic Cardiomyopathy.

作者信息

Zhao Junhan, Yang Shengwen, Jing Ran, Jin Han, Hu Yiran, Wang Jing, Gu Min, Niu Hongxia, Zhang Shu, Chen Liang, Hua Wei

机构信息

State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

出版信息

Front Cardiovasc Med. 2020 Nov 10;7:597546. doi: 10.3389/fcvm.2020.597546. eCollection 2020.


DOI:10.3389/fcvm.2020.597546
PMID:33240942
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7683512/
Abstract

Dilated cardiomyopathy (DCM) and ischemic cardiomyopathy (ICM) are common causes of heart failure (HF). Though they share similar clinical characteristics, their differential effects on cardiovascular metabolomics have yet to be elucidated. In this study, we applied a comprehensive metabolomics platform to plasma samples of HF patients with different etiology (38 patients with DCM and 18 patients with ICM) and 20 healthy controls. Significant differences in metabolomics profiling were shown among two cardiomyopathy groups and healthy controls. Two hundred thirty three dysregulated metabolites were identified between DCM vs. healthy controls, and 204 dysregulated metabolites between ICM patients and healthy controls. They have 140 metabolites in common, with fold-changes in the same direction in both groups. Pathway analysis found the commonalities of HF pathways as well as disease-specific metabolic signatures. In addition, we found that a combination panel of 6 metabolites including 1-pyrroline-2-carboxylate, norvaline, lysophosphatidylinositol (16:0/0:0), phosphatidylglycerol (6:0/8:0), fatty acid esters of hydroxy fatty acid (24:1), and phosphatidylcholine (18:0/18:3) may have the potential to differentiate patients with DCM and ICM.

摘要

扩张型心肌病(DCM)和缺血性心肌病(ICM)是心力衰竭(HF)的常见病因。尽管它们具有相似的临床特征,但它们对心血管代谢组学的不同影响尚未阐明。在本研究中,我们将一个综合代谢组学平台应用于不同病因的HF患者(38例DCM患者和18例ICM患者)及20名健康对照者的血浆样本。两个心肌病组与健康对照者之间的代谢组学图谱存在显著差异。在DCM组与健康对照者之间鉴定出233种失调代谢物,在ICM患者与健康对照者之间鉴定出204种失调代谢物。它们有140种共同的代谢物,两组中的变化倍数方向相同。通路分析发现了HF通路的共性以及疾病特异性代谢特征。此外,我们发现由6种代谢物组成的组合面板,包括1-吡咯啉-2-羧酸、正缬氨酸、溶血磷脂酰肌醇(16:0/0:0)、磷脂酰甘油(6:0/8:0)、羟基脂肪酸的脂肪酸酯(24:1)和磷脂酰胆碱(18:0/18:3),可能具有区分DCM和ICM患者的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/16dd7ffc33e0/fcvm-07-597546-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/3728a1cf0cce/fcvm-07-597546-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/e4136c2d91c2/fcvm-07-597546-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/fdc3a9e27ff6/fcvm-07-597546-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/967a51a50e2c/fcvm-07-597546-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/16dd7ffc33e0/fcvm-07-597546-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/3728a1cf0cce/fcvm-07-597546-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/e4136c2d91c2/fcvm-07-597546-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/fdc3a9e27ff6/fcvm-07-597546-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/967a51a50e2c/fcvm-07-597546-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b6/7683512/16dd7ffc33e0/fcvm-07-597546-g0005.jpg

相似文献

[1]
Plasma Metabolomic Profiles Differentiate Patients With Dilated Cardiomyopathy and Ischemic Cardiomyopathy.

Front Cardiovasc Med. 2020-11-10

[2]
Metabolic and Metabolomics Insights into Dilated Cardiomyopathy.

Ann Nutr Metab. 2022

[3]
Transcriptome analysis of human heart failure reveals dysregulated cell adhesion in dilated cardiomyopathy and activated immune pathways in ischemic heart failure.

BMC Genomics. 2018-11-12

[4]
Time-ordered dysregulated ceRNA networks reveal disease progression and diagnostic biomarkers in ischemic and dilated cardiomyopathy.

Cell Death Discov. 2021-10-16

[5]
Cardiac Proteome Profiling in Ischemic and Dilated Cardiomyopathy Mouse Models.

Front Physiol. 2019-6-18

[6]
Metabolic Processes are Potential Biological Processes Distinguishing Nonischemic Dilated Cardiomyopathy from Ischemic Cardiomyopathy: A Clue from Serum Proteomics.

Pharmgenomics Pers Med. 2021-9-16

[7]
Integrative Proteomic Analysis Reveals the Cytoskeleton Regulation and Mitophagy Difference Between Ischemic Cardiomyopathy and Dilated Cardiomyopathy.

Mol Cell Proteomics. 2023-12

[8]
Analysis of Metabolic Markers in Patients with Chronic Heart Failure before and after LVAD Implantation.

Metabolites. 2021-9-9

[9]
Distinct Circulating Expression Profiles of Long Noncoding RNAs in Heart Failure Patients With Ischemic and Nonischemic Dilated Cardiomyopathy.

Front Genet. 2019-11-12

[10]
Energy Metabolites as Biomarkers in Ischemic and Dilated Cardiomyopathy.

Int J Mol Sci. 2021-2-18

引用本文的文献

[1]
The Impact of Cardio-Renal-Metabolic Profile in Dilated Cardiomyopathy.

Curr Cardiol Rep. 2025-5-23

[2]
Revisiting Secondary Dilative Cardiomyopathy.

Int J Mol Sci. 2025-4-28

[3]
Cardiac Fibrosis in the Multi-Omics Era: Implications for Heart Failure.

Circ Res. 2025-3-28

[4]
Dilated cardiomyopathy signature metabolic marker screening: Machine learning and multi-omics analysis.

Heliyon. 2025-1-13

[5]
Integrative proteomic and metabolomic elucidation of cardiomyopathy with in vivo and in vitro models and clinical samples.

Mol Ther. 2024-10-2

[6]
Integrative Analyses of Circulating Proteins and Metabolites Reveal Sex Differences in the Associations with Cardiac Function among DCM Patients.

Int J Mol Sci. 2024-6-21

[7]
Acute venous thromboembolism plasma and red blood cell metabolomic profiling reveals potential new early diagnostic biomarkers: observational clinical study.

J Transl Med. 2024-2-24

[8]
Metabolome Profiling in the Plasma of Dogs with Idiopathic Dilated Cardiomyopathy: A Multiplatform Mass-Spectrometry-Based Approach.

Int J Mol Sci. 2023-10-14

[9]
Echocardiography-based machine learning algorithm for distinguishing ischemic cardiomyopathy from dilated cardiomyopathy.

BMC Cardiovasc Disord. 2023-9-26

[10]
Differential diagnosis between dilated cardiomyopathy and ischemic cardiomyopathy based on variational mode decomposition and high order spectra analysis.

Health Inf Sci Syst. 2023-9-20

本文引用的文献

[1]
Arginine and Endothelial Function.

Biomedicines. 2020-8-6

[2]
Understanding FAHFAs: From structure to metabolic regulation.

Prog Lipid Res. 2020-7

[3]
Core functional nodes and sex-specific pathways in human ischaemic and dilated cardiomyopathy.

Nat Commun. 2020-6-2

[4]
Sex differences in heart failure.

Eur Heart J. 2019-12-14

[5]
Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis.

Curr Protoc Bioinformatics. 2019-12

[6]
MetaboLights: a resource evolving in response to the needs of its scientific community.

Nucleic Acids Res. 2020-1-8

[7]
Editorial: Cardiac Microvascular Endothelium Contribution to Cardiac Myocyte Growth, Structure, and Contractile Function.

Front Cardiovasc Med. 2019-9-3

[8]
Gender-related differences in heart failure: beyond the "one-size-fits-all" paradigm.

Heart Fail Rev. 2020-3

[9]
Inflammation and its resolution in atherosclerosis: mediators and therapeutic opportunities.

Nat Rev Cardiol. 2019-7

[10]
Transcriptome analysis of human heart failure reveals dysregulated cell adhesion in dilated cardiomyopathy and activated immune pathways in ischemic heart failure.

BMC Genomics. 2018-11-12

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索