Advancing Traditional Chinese Medicine Research through Network Pharmacology: Strategies for Target Identification, Mechanism Elucidation and Innovative Therapeutic Applications
Xiaobing Li, Xiaodong Li, Li Wang, Yuanfang Hou, Yongsheng Liu, Jingxin Mao, Li Zhang, Xuemei Li
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.