中草药2026,Vol.57Issue(1):1-12,12.DOI:10.7501/j.issn.0253-2670.2026.01.001
人工智能驱动的类器官/器官芯片:中药及民族药药效物质和靶标发现新范式
Artificial intelligence-enabled organoids/organ-on-a-chip:A new paradigm for discovering active ingredients and targets of traditional Chinese medicine and ethnic medicine
摘要
Abstract
Traditional Chinese medicine(TCM)and ethnic medicine,as integral components of traditional medicine,exhibit diverse therapeutic effects,complex chemical compositions,intricate physiological processes,and multifaceted mechanisms of action.This makes elucidating the pharmacological basis and mechanisms of action of TCM and ethnic medicine a key research direction in the modernization of TCM.However,challenges such as incomplete pharmacological evaluation models,low correlation with clinical efficacy,and low screening efficiency and throughput remain core obstacles.Artificial intelligence-driven organoid and organ-on-a-chip technologies offer an innovative research paradigm for the screening of bioactive compounds and the discovery of target mechanisms in TCM and ethnic medicines.By constructing highly biomimetic human organoids/organ-on-a-chip models that precisely simulate the microenvironment and pathological states of human organs,combined with artificial intelligence technologies for in-depth analysis of high-throughput pharmacodynamic data,it is possible to elucidate the synergistic effects of multi-component,multi-target interactions.Systematically screening groups of active components in TCM,quantifying their metabolic kinetic processes,and revealing potential target points and molecular pathways significantly enhances the precision and efficiency of bioactive substance identification.The deep integration strategy of organoids/organ-on-a-chip technology with artificial intelligence provides new technical support for accelerating the modernization of TCM and ethnic medicine research and promoting innovative drug development.关键词
类器官/器官芯片/人工智能/中药/民族药Key words
organoids/organ-on-a-chip/artificial intelligence/traditional Chinese medicine/ethnic medicine分类
医药卫生引用本文复制引用
XU Xinmei,GAN Zhiqiang,LI Ruiqi,XU Tong,FAN Gang,AI Yongjian,MENG Xianli,LIANG Qionglin,ZHANG Yi..人工智能驱动的类器官/器官芯片:中药及民族药药效物质和靶标发现新范式[J].中草药,2026,57(1):1-12,12.基金项目
国家重点研发计划资助项目(2023YFC3504401,2023YFC3504402,2023YFC3504403,2022YFA1103403) (2023YFC3504401,2023YFC3504402,2023YFC3504403,2022YFA1103403)
国家自然科学基金重点项目(82130113) (82130113)
四川省自然科学基金项目(2024NSFSC0701) (2024NSFSC0701)
中国科协青年人才托举工程博士生专项计划(156-O-360-0000283-2) (156-O-360-0000283-2)