Chen Qiang, Chen Guanghui, Wang Qianyan
Department of Pharmacy, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Pharmacy, Renmin Hospital, Wuhan University, Wuhan, Hubei, China.
Planta Med. 2025 Apr;91(5):226-237. doi: 10.1055/a-2512-8928. Epub 2025 Jan 8.
In recent years, the incidence of neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis, has exhibited a steadily rising trend, which has posed a major challenge to the global public health. Traditional Chinese medicine, with its multicomponent and multitarget characteristics, offers a promising approach to treating neurodegenerative diseases. However, comprehensively elucidating the complex mechanisms underlying traditional Chinese medicine formulations remains challenging. As an emerging systems biology method, network pharmacology has provided a vital tool for revealing the multitarget mechanisms of traditional Chinese medicine through high-throughput technologies, molecular docking, and network analysis. This paper reviews the advancements in the application of network pharmacology in treating neurodegenerative diseases using traditional Chinese medicine, analyzes the current status of relevant databases and technological methods, discusses the limitations, and proposes future directions to promote the modernization of traditional Chinese medicine and the development of precision medicine.
近年来,包括阿尔茨海默病、帕金森病、亨廷顿舞蹈病和肌萎缩侧索硬化症在内的神经退行性疾病的发病率呈稳步上升趋势,这给全球公共卫生带来了重大挑战。具有多成分、多靶点特点的中药为治疗神经退行性疾病提供了一种有前景的方法。然而,全面阐明中药方剂的复杂作用机制仍然具有挑战性。作为一种新兴的系统生物学方法,网络药理学通过高通量技术、分子对接和网络分析,为揭示中药的多靶点作用机制提供了重要工具。本文综述了网络药理学在中药治疗神经退行性疾病中的应用进展,分析了相关数据库和技术方法的现状,讨论了局限性,并提出了未来方向,以促进中药现代化和精准医学的发展。