首页|基于数据挖掘和网络药理学分析痛风中药治疗的遣方用药规律及其作用机制

基于数据挖掘和网络药理学分析痛风中药治疗的遣方用药规律及其作用机制

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目的:运用数据挖掘和网络药理学探究中药内服治疗痛风的遣方用药规律及其作用机制.方法:数据挖掘收集中药内服治疗痛风的方剂,并对其进行中药频次分析、关联规则和聚类分析,总结用药规律和核心药对.通过网络药理学预测药物和疾病的作用靶点,获取核心靶点及核心通路.结果:共筛选出文献204篇,涉及方剂210个,用药总频次为2415次,得到高频药物30味(频次≥20),得到关联规则8条,有效聚类群4个,最终获取9味核心药物;通过网络药理学分析得核心药物参与治疗痛风靶点95个,核心靶点12个,核心通路10条.结论:数据挖掘显示痛风的中医辨证以湿热蕴结型为主,治疗上多用清热祛湿的中药;网络药理学预测了核心药物治疗痛风的关键机制.
Analysis on Medication Rules and Mechanism of Action of Traditional Chinese Medicine of Gout Treatment based on Data Mining and Network Pharmacology
Objective:To investigate the prescription and medication rules and the mechanism of action of TCM internal treatment of gout by using the application of data mining and network pharmacology.Methods:Data mining was used to collect the prescriptions for the treatment of gout,and the frequency,association rules and cluster analysis were carried out to summarize the medication rules and core drug pairs.The targets of action of drugs and diseases were predicted,and the core targets and core pathways were obtained by network pharmacology.Results:A total of 204 articles were screened out.210 prescriptions were included.The total frequency of medicines used was 2415,and 30 high-frequency medicines were obtained(with a frequency ≥20).The association rules were analyzed to obtain 8 association rules,and the clustering analysis obtained 4 effective clustering groups.Eventually 9 core drugs were gained.Network pharmacological analysis showed that 95 core targets were involved in the treatment of gout,12 core targets and 10 core pathways.Conclusion:Data mining shows that the mainly TCM syndrome type of gout is damp-heat and amassing poison.Treatment is mostly with heat-clearing and dampness-eliminating herbs.The network pharmacology predicts the key mechanism of the core drug in the treatment of gout.

gouthyperuricemiadata miningnetwork pharmacologySimiao Decoction

姜梦君、包文辉、高晟

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天津中医药大学研究生院,天津 300000

南开大学/天津市南开医院内分泌科,天津 300000

痛风 高尿酸血症 数据挖掘 网络药理学 四妙散

国家自然科学基金项目天津市教委科研计划项目

819736002023ZD013

2024

中国药事
中国食品药品检定研究院(中国药品生物制品检定所)

中国药事

CSTPCD
影响因子:0.844
ISSN:1002-7777
年,卷(期):2024.38(10)