Xu Mengda, Cui Hao, Chen Xiao, Hua Xiumeng, Song Jiangping, Hu Shengshou
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Fuwai Hospital Chinese Academy of Medical Sciences, State Key Laboratory of Cardiovascular Disease, Shenzhen 518057, China.
Metabolites. 2022 Nov 4;12(11):1068. doi: 10.3390/metabo12111068.
Cardiac function is closely related to heart metabolism. Heart failure patients undergoing LVAD support have shown varying degrees of remodeling of both cardiac function and morphology. However, the metabolic changes in patients with different outcomes are unclear. This study aimed to identify metabolic differences and evaluate metabolomics-based biomarkers in patients with non-improved/improved cardiac function after LVAD support. Sixteen patients were enrolled in this study. Plasma samples were analyzed by using untargeted metabolomic approaches. Multivariate statistical analysis and a Mann-Whitney U-test was performed to clarify the separation in metabolites and to identify changes in plasma metabolites between the two groups, respectively. The efficacy of candidate biomarkers was tested by the area under the curve receiver operating characteristic curve. Using the Metabolomics Standards Initiative level 2, a total of 1542 and 619 metabolites were detected in the positive and negative ion modes, respectively. Enrichment analysis showed that metabolites in improved cardiac function patients were mainly involved in carbohydrate metabolism and amino acid metabolism. Metabolites from non-improved cardiac function patients were mainly involved in hormone metabolism. Furthermore, we found tris(hydroxymethyl)aminomethane and 5-guanidino-3-methyl-2-oxopentanoic acid could serve as biomarkers to predict whether a patient's cardiac function would improve after LVAD support.
心脏功能与心脏代谢密切相关。接受左心室辅助装置(LVAD)支持的心力衰竭患者在心脏功能和形态方面均表现出不同程度的重塑。然而,不同预后患者的代谢变化尚不清楚。本研究旨在识别代谢差异,并评估基于代谢组学的生物标志物在LVAD支持后心功能未改善/改善患者中的作用。本研究纳入了16例患者。采用非靶向代谢组学方法分析血浆样本。分别进行多变量统计分析和曼-惠特尼U检验,以阐明代谢物的分离情况,并识别两组之间血浆代谢物的变化。通过曲线下面积接受者操作特征曲线测试候选生物标志物的效能。按照代谢组学标准倡议二级水平,在正离子和负离子模式下分别检测到1542种和619种代谢物。富集分析表明,心功能改善患者的代谢物主要参与碳水化合物代谢和氨基酸代谢。心功能未改善患者的代谢物主要参与激素代谢。此外,我们发现三(羟甲基)氨基甲烷和5-胍基-3-甲基-2-氧代戊酸可作为生物标志物,用于预测患者在LVAD支持后心功能是否会改善。