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基于代谢组学结合血清药物化学评价芪葛汤的降脂成分。

An assessment of the antihyperlipidemic ingredients of Qi Ge Decoction based on metabolomics combined with serum pharmacochemistry.

机构信息

Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

出版信息

Biomed Chromatogr. 2024 Aug;38(8):e5922. doi: 10.1002/bmc.5922. Epub 2024 Jun 12.

Abstract

This study aims to explore the pharmacological substance basis of Qi Ge Decoction (QG) in antihyperlipidemia through a combination of metabolomics and serum pharmacochemistry. We used ultra-performance liquid chromatography quadrupole-time-of-flight/MS (UPLC Q-TOF/MS) to analyze and identify the chemical constituents of QG in vitro and in blood chemical components. The metabolomics technology was used to analyze serum biomarkers of QG in preventing and treating hyperlipidemia. We constructed a mathematical model of the relationship between constituents absorbed into the blood and endogenous biomarkers and explored the potential therapeutic application of QG for the prevention and treatment of hyperlipidemia. Compared with the model group, the levels of total cholesterol and triglyceride in the QG group were significantly decreased (P < 0.01). A total of 12 chemical components absorbed into the blood were identified, and 48 biomarkers of the hyperlipidemia model were obtained from serum metabolomic analysis, of which 15 metabolites were backregulated after QG intervention. Puerarin, hesperetin, puerarin xyloside, calycosin, and monohydroxy-tetramethoxyflavone had a high correlation with the biomarkers regulated by QG. This study elucidated the material basis of QG in the intervention of hyperlipidemia, thereby facilitating future research aimed at further revealing the pharmacodynamic material basis of QG's antihyperlipidemic effects.

摘要

本研究旨在通过代谢组学和血清药化学相结合的方法,探讨芪葛汤(QG)在抗高脂血症中的药效物质基础。我们采用超高效液相色谱-四级杆飞行时间串联质谱法(UPLC-Q-TOF/MS)分析并鉴定了 QG 体外和血液化学成分中的化学物质。采用代谢组学技术分析了 QG 防治高脂血症的血清生物标志物。构建了药物成分吸收进入血液与内源性生物标志物之间的关系数学模型,探讨了 QG 防治高脂血症的潜在治疗应用。与模型组相比,QG 组的总胆固醇和甘油三酯水平显著降低(P<0.01)。共鉴定出 12 种吸收进入血液的化学成分,从血清代谢组学分析中获得了 48 种高脂血症模型的生物标志物,其中 QG 干预后有 15 种代谢物被下调。葛根素、橙皮苷、葛根素木糖苷、毛蕊异黄酮和单羟基-四甲氧基黄酮与 QG 调节的生物标志物具有高度相关性。本研究阐明了 QG 干预高脂血症的物质基础,从而有助于未来的研究进一步揭示 QG 抗高脂血症作用的药效物质基础。

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