血浆非靶向代谢组学揭示了正常右转心脏的代谢特征。

IF 3.3 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Xifeng Qian, Yuanrui Deng, Tingting Guo, Xin Huang, Chaowu Yan, Xin Gao, Yan Wu, Xinxin Yan, Zhiqiang Liu, Song Hu, Jiangshan Tan, Lingtao Chong, Shengsong Zhu, Mingjie Ma, Mengting Ye, Lu Hua, Jian Cao, Xiaojian Wang
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引用次数: 0

摘要

右心作为连接静脉系统和肺循环的枢纽,在许多心肺疾病的病理机制研究中备受重视。虽然这些以RH相关疾病为中心的病原学研究取得了进展,但RH的生理机制研究却很少。目的:本研究旨在通过非靶向代谢组学准确揭示正常反式rh的代谢特征。方法:招募RH功能正常的卵圆孔未闭(PFO)受试者,通过右心导管取上腔静脉(SVC)和肺动脉(PA)血样。基于UHPLC-MS/MS的非靶向代谢组学分析,通过比较SVC与PA的代谢物变化,生成反式rh的代谢特征,揭示其生理梯度代谢机制。结果:在28名PFO参与者的血液样本中初步鉴定出1060种代谢物。经RH筛选后,根据筛选标准确定了51种差异代谢物,其中下调代谢物39种,上调代谢物12种。其中磷脂酰胆碱、鞘磷脂、氨基酸、甘油三酯、新蝶呤和十四烷二酸的相关性最大。结论:本研究对反式RH的心理代谢有了更深入、更广泛的认识,拓展了目前对正常RH功能的认识,为RH相关疾病的发病机制研究提供了线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Plasma non-targeted metabolomics unravels the metabolic features of normal trans-right heart.

Plasma non-targeted metabolomics unravels the metabolic features of normal trans-right heart.

Plasma non-targeted metabolomics unravels the metabolic features of normal trans-right heart.

Plasma non-targeted metabolomics unravels the metabolic features of normal trans-right heart.

Introduction: Right heart (RH), as a junction between the venous system and pulmonary circulation, gains great emphasis on exploring the relevant pathological mechanism of many cardiopulmonary diseases. Although these pathogensis researches centering on RH-related diseases advance, the physiological mechanism research of the RH is scarce.

Objectives: This study aimed to accurately unravel the metabolic features of normal trans-RH through non-targeted metabolomics.

Methods: Patent foramen ovale (PFO) participants with normal function of RH were recruited and their blood samples from superior vena cava (SVC) and pulmonary artery (PA) were collected through right cardiac catheterization. Non-targeted metabolomics analysis based on UHPLC-MS/MS was utilized to generate the metabolic feature of trans-RH by comparing the metabolites change from SVC to PA, revealing its physiological gradient metabolic mechanism.

Results: 1060 metabolites were tentatively identified in blood samples from 28 PFO participants. 51 differential metabolites were defined based on screening criteria after flowing through RH, including 39 down-regulated metabolites and 12 up-regulated metabolites. Among them, phosphatidylcholines, sphingomyelins, amino acids, triacylglycerol, neopterin, and tetradecanedioic acid were the most relevant.

Conclusion: Our study provides a more profound and extensive understanding of the psychological metabolism of trans-RH, expanding the current knowledge of normal RH function and providing clues for the pathogenesis research of RH-related diseases.

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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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