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全球传统医学数据库概述与局限性:一篇叙述性综述

Overview and limitations of database in global traditional medicines: A narrative review.

作者信息

Li Xiao-Lan, Zhang Jian-Qing, Shen Xuan-Jing, Zhang Yu, Guo De-An

机构信息

Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.

University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Acta Pharmacol Sin. 2025 Feb;46(2):235-263. doi: 10.1038/s41401-024-01353-1. Epub 2024 Aug 2.

Abstract

The study of traditional medicine has garnered significant interest, resulting in various research areas including chemical composition analysis, pharmacological research, clinical application, and quality control. The abundance of available data has made databases increasingly essential for researchers to manage the vast amount of information and explore new drugs. In this article we provide a comprehensive overview and summary of 182 databases that are relevant to traditional medicine research, including 73 databases for chemical component analysis, 70 for pharmacology research, and 39 for clinical application and quality control from published literature (2000-2023). The review categorizes the databases by functionality, offering detailed information on websites and capacities to facilitate easier access. Moreover, this article outlines the primary function of each database, supplemented by case studies to aid in database selection. A practical test was conducted on 68 frequently used databases using keywords and functionalities, resulting in the identification of highlighted databases. This review serves as a reference for traditional medicine researchers to choose appropriate databases and also provides insights and considerations for the function and content design of future databases.

摘要

对传统医学的研究已引发了广泛关注,催生出包括化学成分分析、药理学研究、临床应用及质量控制等在内的多个研究领域。大量可得数据使得数据库对于研究人员管理海量信息及探索新药变得愈发重要。在本文中,我们全面概述并总结了182个与传统医学研究相关的数据库,其中包括从已发表文献(2000 - 2023年)中选取的73个用于化学成分分析的数据库、70个用于药理学研究的数据库以及39个用于临床应用和质量控制的数据库。该综述按功能对数据库进行了分类,提供了有关网站和功能的详细信息以方便访问。此外,本文概述了每个数据库的主要功能,并辅以案例研究以协助数据库选择。使用关键词和功能对68个常用数据库进行了实际测试,从而确定了突出的数据库。本综述可为传统医学研究人员选择合适的数据库提供参考,同时也为未来数据库的功能和内容设计提供见解与思考。

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