基于数据挖掘和网络药理学分析魏华凤主任治疗咳嗽的处方用药规律研究

Research on the TCM Formula Law of Physician Wei Huafeng in Treating Cough Based on Data Mining and Network Pharmacology Analysis

摘要: 目的：应用中医传承辅助平台和网络药理学分析魏华凤主任治疗咳嗽的处方用药规律及核心处方的药理机制，为该病的临床治疗提供处方用药参考。方法：收集并筛选2022年7月至2024年8月魏华凤主任治疗咳嗽的病历资料，借助中医传承辅助平台V3.5，建立数据库，运用关联规则等数据挖掘技术，筛选核心处方。基于中药系统药理分析平台TCMSP及GeneCards、OMIM等数据库和Cytoscape软件获得关键作用靶点。运用DAVID数据库、微生信–在线生物信息学分析、可视化云平台进行GO功能富集分析和KEGG通路富集分析。结果：261例患者的处方共涉及单味中药330味。核心处方由紫菀，款冬花，桔梗，甘草，杏仁，牛蒡子，百部，石韦和板蓝根组成。处方活性成分共225个，药物与疾病交集靶点共260个，TP53，SRC、AKT1、HSP90AA1、STAT3、PIK3CA、PIK3R1等为核心处方治疗的关键作用靶点，共涉及BP结果1146条、MF结果281条、CC结果136条，获得188条KEGG通路。核心处方的有效成分为山柰酚、槲皮素、β-谷甾醇、光甘草定、异鼠李素、木犀草素、菠菜甾醇、谷甾醇、刺槐黄素、双脱水新土贝母碱等，作用的主要靶点基因为ESR1、CYP19A1、GC、PTGS1、PTGS2、HSP90AA1等，可通过PI3K-Akt信号通路、人巨细胞病毒感染HCMV、卡波氏肉瘤相关疱疹病毒、MAPK信号通路等通路发挥抗炎、抗病毒、抗氧化、止咳化痰等作用。结论：通过数据挖掘和网络药理学在一定程度上预测了魏华凤主任治疗咳嗽的处方用药经验及药理机制。

Abstract: Objective: To analyze the prescription usage patterns and the pharmacological mechanisms of the core prescriptions in the treatment of cough by Director Wei Huafeng using the Traditional Chinese Medicine Inheritance Assistance Platform and network pharmacology, and to provide a reference for prescription usage in the clinical treatment of this disease. Method: Collect and screen the medical records of Director Wei Huafeng’s treatment of cough from July 2022 to August 2024. With the help of the Traditional Chinese Medicine Inheritance Assistance Platform V3.5, establish a database and use data mining techniques such as association rules to screen core prescriptions. The key action targets were obtained based on the TCMSP platform for systematic pharmacological analysis of traditional Chinese medicine, databases such as GeneCards and OMIM, and the Cytoscape software. GO functional enrichment analysis and KEGG pathway enrichment analysis were conducted using the DAVID database, wechsin-online bioinformatics analysis, and the visualization cloud platform. Result: The prescriptions of 261 patients involved a total of 330 single traditional Chinese medicines. The core prescription consists of Aster tataricus, winter heliotrope, Platycodon grandiflorum, Glycyrrhiza uralensis, almond, burdock seed, aconite, Lithospermum erythrorhizon and Isatidis Radix. There are a total of 225 active ingredients in the prescription, and 260 intersection targets of drugs and diseases. TP53, SRC, AKT1, HSP90AA1, STAT3, PIK3CA, PIK3R1, etc. are the key therapeutic targets of the core prescription, involving a total of 1146 BP results, 281 MF results, and 136 CC results. Obtain 188 KEGG pathways. The active ingredients of the core prescription include kaempferol, quercetin, β-sitosterol, licoridin, isorhamnetin, luteolin, bocesterol, sitosterol, acanthocyanin, and didehydrated neophenylline, etc. The main target genes of action are ESR1, CYP19A1, GC, PTGS1, PTGS2, HSP90AA1, etc. It can exert anti-inflammatory, antiviral, antioxidant, antitussive and expectorant effects through pathways such as the PI3K-Akt signaling pathway, human cytomegalovirus (HCMV) infection, Kapo-sarcoma-associated herpesvirus, and MAPK signaling pathway. Conclusion: Through data mining and network pharmacology, the prescription medication experience and pharmacological mechanism of Director Wei Huafeng in treating cough were predicted to a certain extent.