Dataset Information

Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions.

ABSTRACT: 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.

SUBMITTER: Wang N

PROVIDER: S-EPMC7854460 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions.

Wang Ning N Du Ninglin N Peng Yonghong Y Yang Kuo K Shu Zixin Z Chang Kai K Wu Di D Yu Jian J Jia Caiyan C Zhou Yana Y Li Xiaodong X Liu Baoyan B Gao Zhuye Z Zhang Runshun R Zhou Xuezhong X

Frontiers in pharmacology 20210120

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 her ...[more]

PMID: 33551800

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Project description:BackgroundStroke is a condition with high morbidity and mortality, and 75% of stroke survivors lose their ability to work. Stroke is a burden to the family and society. The purpose of this study was to evaluate the effectiveness of Chinese herbal patent medicines in the treatment of patients after the acute phase of a stroke.MethodsWe searched the following databases through August 2016: PubMed, Embase, Cochrane library, China Knowledge Resource Integrated Database (CNKI), China Science Periodical Database (CSPD), and China Biology Medicine disc (CBMdisc) for studies that evaluated Chinese herbal patent medicines for post stroke recovery. A random-effect model was used to pool therapeutic effects of Chinese herbal patent medicines on stroke recovery. Network meta-analysis was used to rank the treatment for each Chinese herbal patent medicine.ResultsIn our meta-analysis, we evaluated 28 trials that included 2780 patients. Chinese herbal patent medicines were effective in promoting recovery after stroke (OR, 3.03; 95% CI: 2.53-3.64; P < .001). Chinese herbal patent medicines significantly improved neurological function defect scores when compared with the controls (standard mean difference [SMD], -0.89; 95% CI, -1.44 to -0.35; P = .001). Chinese herbal patent medicines significantly improved the Barthel index (SMD, 0.73; 95% CI, 0.53-0.94; P < .001) and the Fugl-Meyer assessment scores (SMD, 0.60; 95% CI, 0.34-0.86; P < .001). In the network analysis, MLC601, Shuxuetong, and BuchangNaoxintong were most likely to improve stroke recovery in patients without acupuncture. Additionally, Mailuoning, Xuesaitong, BuchangNaoxintong were the patented Chinese herbal medicines most likely to improve stroke recovery when combined with acupuncture.ConclusionsOur research suggests that the Chinese herbal patent medicines were effective for stroke recovery. The most effective treatments for stroke recovery were MLC601, Shuxuetong, and BuchangNaoxintong. However, to clarify the specific effective ingredients of Chinese herbal medicines, a well-designed study is warranted.

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Dataset Information

Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions.

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Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions.

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