Suppr超能文献

采用超高效液相色谱-电喷雾电离/四极杆飞行时间质谱联用结合模式识别方法对口服茵陈蒿汤后大鼠血浆中多成分的药代动力学进行筛选。

Pharmacokinetics screening for multi-components absorbed in the rat plasma after oral administration traditional Chinese medicine formula Yin-Chen-Hao-Tang by ultra performance liquid chromatography-electrospray ionization/quadrupole-time-of-flight mass spectrometry combined with pattern recognition methods.

机构信息

National TCM Key Lab of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin 150040, China.

出版信息

Analyst. 2011 Dec 7;136(23):5068-76. doi: 10.1039/c1an15752c. Epub 2011 Oct 12.

Abstract

Traditional Chinese medicine (TCM) has been widely used in many oriental countries for thousands of years and played an indispensable role in the prevention and treatment of diseases, especially the complicated and chronic ones. It is a very complex mixture containing hundreds or thousands of different components. Pharmacokinetic study on active constituents in TCM preparations is a good way for us to explain and predict a variety of events related to the efficacy and toxicity of TCM. A selective and sensitive method of ultra performance liquid chromatography coupled with electrospray ionization/quadrupole-time-of-flight mass spectrometry (UPLC-ESI-Q-TOF-MS/MS) was first developed to screen the potentially bioactive components in vivo, using the semi-quantitative determination of multicomponents in the rat plasma after a single oral administration of Yin-Chen-Hao-Tang (YCHT), a famous TCM formula for liver disorders. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were built to evaluate the differences of pharmacokinetic behaviors (time-course) of the absorbed components of YCHT. Here, we report that the developed method was successfully applied to monitoring the pharmacokinetic time-course of 21 compounds in rat plasma, and were grouped in 3 separate clusters using pattern recognition approaches (both HCA and PCA). Comparing the body dynamics of each composition, the initial choice of the following 9 compounds as the candidate components was: 7-methoxycoumarin-6-hydroxyl sulfate, genipingentiobioside, geniposide, 6,7-dimethylesculetin, peak 16, chimaphylin, 6-dementhoxycapillarisin, capillarisin, rhein. Pharmacokinetics based-UPLC-ESI-Q-TOF-MS/MS combined with HCA and PCA approaches can provide a reliable and suitable means of identifying and screening potentially bioactive components contributing to pharmacological effects of TCM, further prospecting natural products in the search for new leads in drug discovery.

摘要

中药(TCM)在许多东方国家已经使用了数千年,在疾病的预防和治疗中发挥了不可或缺的作用,尤其是在治疗复杂和慢性疾病方面。它是一种非常复杂的混合物,包含数百种甚至数千种不同的成分。对中药制剂中活性成分的药代动力学研究是解释和预测与中药疗效和毒性相关的各种事件的一种很好的方法。首次建立了一种超高效液相色谱-电喷雾/四极杆飞行时间质谱联用(UPLC-ESI-Q-TOF-MS/MS)的选择性和灵敏方法,用于筛选体内潜在的生物活性成分,采用单次口服茵陈蒿汤(YCHT)后大鼠血浆中多种成分的半定量测定,YCHT 是一种治疗肝脏疾病的著名中药配方。采用层次聚类分析(HCA)和主成分分析(PCA)来评估 YCHT 吸收成分的药代动力学行为(时间过程)的差异。在这里,我们报告说,该方法已成功应用于监测大鼠血浆中 21 种化合物的药代动力学时间过程,并使用模式识别方法(HCA 和 PCA)将其分为 3 个不同的组。比较每种成分的体内动态,选择以下 9 种化合物作为候选成分:7-甲氧基香豆素-6-羟基硫酸盐、栀子京尼平苷、栀子苷、6,7-二甲氧基秦皮素、峰 16、 chimaphylin、6-去甲氧基毛蕊异黄酮、毛蕊异黄酮、大黄素。基于 UPLC-ESI-Q-TOF-MS/MS 的药代动力学结合 HCA 和 PCA 方法可以提供一种可靠且合适的方法来识别和筛选对中药药理作用有贡献的潜在生物活性成分,进一步在天然产物中寻找药物发现的新先导化合物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验