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
Abstract
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.
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.