Suppr超能文献

基于中空纤维配体垂钓结合液相色谱-质谱联用技术的中药生物活性成分双靶点筛选

Dual-target screening of bioactive components from traditional Chinese medicines by hollow fiber-based ligand fishing combined with liquid chromatography-mass spectrometry.

作者信息

Chen Liang, Wang Xin, Liu Youping, Di Xin

机构信息

School of Pharmacy, Shenyang Pharmaceutical University,103 Wenhua Road, Shenyang 110016, PR China.

School of Pharmacy, Shenyang Pharmaceutical University,103 Wenhua Road, Shenyang 110016, PR China.

出版信息

J Pharm Biomed Anal. 2017 Sep 5;143:269-276. doi: 10.1016/j.jpba.2017.06.001. Epub 2017 Jun 2.

Abstract

A novel strategy was developed for dual-target screening of bioactive components from traditional Chinese medicines (TCMs). This strategy was based on the use of low-cost microporous hollow fibers filled with target enzymes as baits to "fish out" the ligands in TCM extracts, followed by identification of the ligands dissociated from the target-ligand complexes by liquid chromatography-mass spectrometry. Ganjiang Huangqin Huanglian Renshen Decoction (GHHRD), a classical TCM prescription for diabetes treatment, was chosen as a model sample to evaluate the feasibility of the proposed strategy. Three bioactive components were successfully screened out from GHHRD. Coptisine was identified as the ligand of α-glucosidase and baicalin as the ligand of angiotensin-converting enzyme (ACE). Berberine was found to be a dual inhibitor of α-glucosidase and ACE. The results were further verified by enzyme inhibitory assay and molecular docking simulation. The study suggested that our developed strategy would be a powerful tool for screening bioactive components from multi-component and multi-target TCMs.

摘要

开发了一种用于从中药中双重靶向筛选生物活性成分的新策略。该策略基于使用填充有靶酶的低成本微孔中空纤维作为诱饵,从中药提取物中“钓出”配体,然后通过液相色谱-质谱法鉴定从靶-配体复合物中解离的配体。选择用于治疗糖尿病的经典中药方剂干姜黄芩黄连人参汤(GHHRD)作为模型样品,以评估所提出策略的可行性。从GHHRD中成功筛选出三种生物活性成分。黄连碱被鉴定为α-葡萄糖苷酶的配体,黄芩苷被鉴定为血管紧张素转换酶(ACE)的配体。发现小檗碱是α-葡萄糖苷酶和ACE的双重抑制剂。通过酶抑制试验和分子对接模拟进一步验证了结果。该研究表明,我们开发的策略将成为从多成分、多靶点中药中筛选生物活性成分的有力工具。

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