College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.
First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410007, China.
J Chromatogr B Analyt Technol Biomed Life Sci. 2024 Jul 1;1241:124165. doi: 10.1016/j.jchromb.2024.124165. Epub 2024 May 26.
A serum medicinal chemistry analysis was performed to investigate the pharmacological basis of Xintongtai granule and to predict the potential mechanism of anti-atherosclerotic action based on the blood components.
UPLC-Q-TOF-MS/MS was used to analyze the in vitro chemical composition and in vivo blood components of Xintongtai granule, and to detect the blood drug concentration. The PPI network was constructed by collecting blood components and disease targets through the network pharmacology method, and the key targets were subjected to GO and KEGG functional enrichment analyses, so as to construct the topology network of drug-component-target-disease, and to validate the network by molecular docking.
The UPLC-Q-TOF-MS/MS analysis identified 69 chemical components in Xintongtai granule, including 19 prototype circulating components and 9 metabolites in the bloodstream. Network pharmacology analysis revealed 115 intersecting targets for the circulating components, from which 10 core targets were selected. GO and KEGG analyses unveiled associated signaling pathways and biological processes. The construction of a topology network and preliminary molecular docking provided insights into its mechanism of action.
The mechanism underlying the anti- atherosclerosis effect of Xintongtai granule may be associated with the intervention of active components such as Cryptotanshinone, Kaempferitrin, and Puerarin in pathways targeting CXCL8, STAT3, TNF, and other related targets.
通过血清药物化学分析,研究心通泰颗粒的药效物质基础,基于血液成分预测其抗动脉粥样硬化作用的潜在机制。
采用 UPLC-Q-TOF-MS/MS 分析心通泰颗粒的体外化学成分和体内血液成分,检测血药浓度。通过网络药理学方法收集血液成分和疾病靶点,构建 PPI 网络,对关键靶点进行 GO 和 KEGG 功能富集分析,构建药物-成分-靶点-疾病拓扑网络,并通过分子对接进行网络验证。
UPLC-Q-TOF-MS/MS 分析鉴定了心通泰颗粒中的 69 种化学成分,包括 19 种原型循环成分和 9 种在血液中循环的代谢产物。网络药理学分析揭示了循环成分的 115 个相交靶点,从中选择了 10 个核心靶点。GO 和 KEGG 分析揭示了相关的信号通路和生物过程。拓扑网络的构建和初步的分子对接为其作用机制提供了线索。
心通泰颗粒抗动脉粥样硬化作用的机制可能与隐丹参酮、山奈酚、葛根素等活性成分干预 CXCL8、STAT3、TNF 等相关靶点的途径有关。