Advancing Traditional Chinese Medicine Research through Network Pharmacology: Strategies for Target Identification, Mechanism Elucidation and Innovative Therapeutic Applications.

IF 5.5
The American journal of Chinese medicine Pub Date : 2025-01-01 Epub Date: 2025-08-30 DOI:10.1142/S0192415X25500752
Xiaobing Li, Xiaodong Li, Li Wang, Yuanfang Hou, Yongsheng Liu, Jingxin Mao, Li Zhang, Xuemei Li
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Abstract

Traditional Chinese medicine (TCM) is characterized by its multi-component, multi-target, and multi-pathway properties, which make it an ideal candidate for network pharmacology applications. This approach provides a comprehensive framework for understanding the therapeutic effects of TCM in managing complex diseases. This review highlights recent advancements in network pharmacology as applied to TCM, and focuses on key achievements such as the identification of core bioactive components, target prediction, and the elucidation of mechanisms of action. Notable studies, including network pharmacology research on artemisinin and Compound Danshen Droplet Pills, demonstrate the practical application of this methodology in drug discovery and disease management. Furthermore, this review explores the integration of network pharmacology with omics technologies, and enables a more holistic understanding of TCM's efficacy. These advancements are crucial in promoting the modernization of TCM and enhancing its integration into contemporary medicine. In conclusion, network pharmacology is advancing TCM research, providing a scientific basis for its clinical application, and paving the way for its global acceptance.

通过网络药理学推进中医药研究:靶点识别、机制阐明和创新治疗应用策略。
中药具有多组分、多靶点、多途径的特点,是网络药理学应用的理想候选者。这种方法为理解中医在治疗复杂疾病中的治疗效果提供了一个全面的框架。本文综述了网络药理学在中药研究中的最新进展,重点介绍了网络药理学在核心生物活性成分鉴定、靶点预测和作用机制阐明等方面的重要成果。一些著名的研究,包括青蒿素和复方丹参滴丸的网络药理学研究,展示了这种方法在药物发现和疾病管理中的实际应用。此外,本文还探讨了网络药理学与组学技术的结合,使人们能够更全面地了解中药的疗效。这些进步对于推进中医药现代化,促进中医药与当代医学的融合至关重要。综上所述,网络药理学正在推进中医药研究,为中医药临床应用提供科学依据,并为中医药在全球的普及铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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