细胞膜仿生亲和识别技术在中药活性成分筛选中的应用研究进展  

Advances in Research on the Application of Cell Membrane-based Bionic Affinity Recognition Technology in Screening of Bioactive Components in Traditional Chinese Medicines

作　　者：胡琪 解笑瑜[1,2] 王嗣岑 HU Qi;XIE Xiaoyu;WANG Sicen(School of Pharmacy,Xi'an Jiaotong University,Xi'an 710061,China;Shanxi Engineering Research Center of Cardiovascular Drugs Screening&Analysis,Xi'an 710061,China)

机构地区：[1]西安交通大学药学院,陕西西安710061 [2]陕西省心血管药物工程技术研究中心,陕西西安710061

出　　处：《药学进展》2023年第11期864-874,共11页Progress in Pharmaceutical Sciences

摘　　要：由于中药化学成分的复杂性以及作用机制的不明确性,采用合适的方法对中药活性成分进行筛选,以及对药效物质基础进行解析是中药研究需要面对的关键挑战。近年来,基于天然细胞膜靶向特异性的仿生亲和识别系统已被证明是筛选中药活性化合物的有效方法。该技术可在体外实现药物体内过程的模拟,在复杂体系分析中具有独特优势,作为一种新兴技术在药物发现领域具有潜在应用前景。综述了基于细胞膜的亲和识别策略在高效发现中药生物活性化合物方面的研究进展,并对其面临的挑战和未来发展方向进行了探讨,以期为该技术的进一步改善与应用提供思路与参考。Given the complexity of the chemical components in traditional Chinese medicines(TCMs)and the uncertainty of their action mechanisms,the screening of bioactive components from TCMs by appropriate methods and the analysis of the basis of the pharmacodynamic substances remain a major challenge.In recent years,the bionic affinity recognition systems based on the targeting specificity of natural cell membranes have been proved to be an effective method for screening active compounds from TCMs.This technology has the capability to simulate the in vivo drug process in vitro,and offers distinct advantages in analyzing complex systems.As an emerging technology,it holds potential application prospects in the field of drug discovery.In this article,we reviewed the research progress of the membrane-based affinity recognition strategy for efficiently discovering bioactive compounds from TCMs.Additionally,the challenges and future development directions of membrane-based affinity recognition strategy were explored to provide ideas and references for the further improvements and applications of this technology.

关 键 词：中药 活性成分筛选 细胞膜亲和识别 微纳米载体 

分 类 号：R285[医药卫生—中药学]