Therapeutic effect and mechanism of danshensu on coronary heart disease using liquid chromatography combined with mass spectrometry metabolomics

代谢组学 化学 代谢途径 代谢组 药理学 作用机理 液相色谱-质谱法 新陈代谢 机制(生物学) 生物标志物发现 串联质谱法 色谱法 生物化学 质谱法 蛋白质组学 体外 医学 哲学 认识论 基因
作者
Peng Zhou,Baisong An,Xiaolei Zhang,Jiming Lv,Baisong Lin
出处
期刊:Journal of Chromatography B [Elsevier BV]
卷期号:1208: 123400-123400 被引量:2
标识
DOI:10.1016/j.jchromb.2022.123400
摘要

• Metabolic profile and biomarkers were discovered by comprehensive metabolome analysis. • The pharmacological effect and mechanism of action of danshensu treatment was also revealed. • A total of 26 potential biomarkers were screened out, and involving 8 metabolic pathways. • DSS could significantly regulate the primary bile acid, glycerophospholipid, and lipid metabolism. • This study dissects pharmacological effects and mechanisms of natural products via metabolomics. Metabolomics can discover the biomarkers and metabolic pathways, provides the possibility for insights into the pharmacological action and mechanism of natural products. The therapeutic effect and mechanism of danshensu (DSS) on total metabolic pathways has not been well investigated. The aim of this study was to explore the disturbed endogenous biomarkers and metabolic pathways reflecting the pharmacological activity of DSS, and mechanism of action of DSS using comprehensive metabolome analysis based on high-throughput metabolomics technology combined with ultra-high performance liquid chromatography (UPLC) coupled with quadrupole tandem time-of-flight mass spectrometry (Q-TOF-MS) and pattern recognition method. Through the changes of the overall metabolic profile and the related biomarkers, the intervention effect of natural product danshensu (DSS) treatment on CHD model rats was revealed. The results showed that after the model replication was established, the metabolic profile was clearly separated, and a total of 26 potential biomarkers were screened out, and involving 8 metabolic pathways. After different doses of DSS solution were given, a total of 20 biomarkers could be significantly regulated, mainly involving primary bile acid biosynthesis, glycerophospholipid metabolism, and lipid metabolism. It showed UPLC-MS-based metabolomics can be used for discovering potential biomarkers and metabolic pathways of CHD, and to further understand and dissecting pharmacological effects and mechanisms of natural products via metabolomics techniques.
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