Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions

As a well-established multidrug combinations schema, traditional Chinese medicine (herbal prescription) has been used for thousands of years in real-world clinical settings. This paper uses a complex network approach to investigate the regularities underlying multidrug combinations in herbal prescriptions. Using five collected large-scale real-world clinical herbal prescription datasets, we construct five weighted herbal combination networks with herb as nodes and herbal combinational use in herbal prescription as links. We found that the weight distribution of herbal combinations displays a clear power law, which means that most herb pairs were used in low frequency and some herb pairs were used in very high frequency. Furthermore, we found that it displays a clear linear negative correlation between the clustering coefficients and the degree of nodes in the herbal combination network (HCNet). This indicates that hierarchical properties exist in the HCNet. Finally, we investigate the molecular network interaction patterns between herb related target modules (i.e., subnetworks) in herbal prescriptions using a network-based approach and further explore the correlation between the distribution of herb combinations and prescriptions. We found that the more the hierarchical prescription, the better the corresponding effect. The results also reflected a well-recognized principle called Jun-Chen-Zuo-Shi in TCM formula theories. This also gives references for multidrug combination development in the field of network pharmacology and provides the guideline for the clinical use of combination therapy for chronic diseases.

Automated summary

This study explores the regularities of multidrug combinations in herbal prescriptions using a complex network approach. The weight distribution of herbal combinations follows a power law, while a negative correlation between clustering coefficients and node degree in the herbal combination network suggests hierarchical properties. The research also reveals that a more hierarchical prescription leads to better effects and aligns with the Jun-Chen-Zuo-Shi principle in traditional Chinese medicine formula theories, providing guidance for multidrug combination development and clinical use in chronic diseases.