基于临床处方数据挖掘、网络药理学及分子对接分析中药治疗多发性硬化的用药规律及作用机制OA
Prescription patterns and mechanisms of traditional Chinese medicine for multiple sclerosis:a study based on clinical prescription data mining,network pharmacology and molecular docking
目的 基于多发性硬化(multiple sclerosis,MS)真实世界临床处方数据,挖掘用药规律及核心药组,并结合网络药理学及分子对接方法探讨其潜在作用机制,为中医药辨治 MS 提供临床处方依据与理论支持.方法 (1)回顾性收集2014 年1 月1 日至2025 年1 月1 日于首都医科大学附属北京天坛医院中医科就诊的 MS 患者处方资料,对处方进行规范化处理后,采用频次分析、关联规则分析和聚类分析挖掘核心药组;(2)以筛选得到的核心药组"生地黄——熟地黄—山茱萸—牡丹皮"为研究对象,结合 TCMSP、HERB 数据库筛选活性成分与潜在靶标,并通过 GeneCards、DisGeNET、OMIM、BrainBase 数据库获取MS 疾病靶标;运用Cytoscape 软件进一步构建核心药组—成分—靶点互作网络;对潜在靶标进行基因本体分析和京都基因与基因组百科全书通路富集分析;并采用 AutoDock vina 对关键活性成分与核心靶点进行分子对接验证.结果 (1)本研究共纳入 446张处方,涉及 161 味中药;高频药物(频次≥100)共 18 味,前 5 位依次为桃仁(72.20%)、牛膝(61.66%)、熟地黄(50.67%)、红花(48.65%)、生地黄(44.62%).关联规则分析得出"红花—桃仁"(置信度0.99)、"熟地黄—生地黄"(置信度0.81)等高关联药对.聚类分析共得到 7 类药物组合,形成以 C1(补肾活血)、C3(平肝熄风)、C5(益气活血通络)为核心的辨治结构.综合频次分析、关联规则分析及聚类分析,筛选得出核心药组"生地黄—熟地黄—山茱萸—牡丹皮".(2)网络药理学分析共获得该核心药组治疗 MS 的 565 个交集靶点,关键靶点包括肿瘤蛋白 p53(tumor protein p53,TP53)、Akt 丝氨酸/苏氨酸激酶1(Akt serine/threonine kinase 1,Akt1)、信号转导和转录激活因子3(signal transducer and activator of transcription 3,STAT3)、Jun 原癌基因(Jun proto-oncogene,JUN)等,主要涉及磷脂酰肌醇-3-激酶/蛋白激酶 B(phosphatidylinositol 3-kinase/protein kinase B,PI3K/Akt)、丝裂原活化蛋白激酶(mitogen-activated protein kinase,MAPK)及神经活性配体—受体相互作用等信号通路.分子对接结果显示,核心活性成分与关键靶点总体上具有一定结合倾向,其中槲皮素与 JUN、Akt1、STAT3,地黄苦苷与 JUN 的结合能力较强.结论 本研究基于真实世界临床处方数据挖掘筛选得出"生地黄—熟地黄—山茱萸—牡丹皮"核心药组,体现了MS 临床用药中补肾填精与活血通络兼顾的配伍特点.该核心药组可能通过槲皮素、地黄苦苷等关键成分作用于 TP53、Akt1、STAT3、JUN 等核心靶点,并经由 PI3K/Akt、MAPK 及神经活性配体—受体相互作用等信号通路,从免疫异常激活、炎症级联放大及神经损伤修复失衡等多个层面发挥综合干预作用,为中医药治疗MS 的临床处方及作用机制研究提供了理论依据.
Objective This study aimed to mine prescription patterns and identify the core herbal combination based on real-world clinical prescription data from patients with multiple sclerosis(MS),and to explore its potential mechanisms using network pharmacology and molecular docking,thereby providing clinical evidence and theoretical support for traditional Chinese medicine(TCM)treatment of MS.Methods(1)Prescription data from patients with MS who visited the department of traditional Chinese medicine,Beijing Tiantan Hospital,Capital Medical University,between January 1,2014 and January 1,2025 were retrospectively collected.After standardization of the prescriptions,frequency analysis,association rule analysis,and cluster analysis were performed to identify core herbal combinations.(2)Using the screened core herbal combination,Rehmanniae Radix-Rehmanniae Radix Praeparata-Corni Fructus-Moutan Cortex,as the research object,active compounds and potential targets were obtained from the TCMSP and HERB databases,while MS-related disease targets were collected from the GeneCards,DisGeNET,OMIM,and BrainBase databases.Cytoscape was used to construct the herb-compound-target interaction network.Gene Ontology(GO)functional analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were then performed for the potential targets.Molecular docking using AutoDock Vina was further conducted to validate the binding of key active compounds to core targets.Results(1)A total of 446 prescriptions involving 161 herbs were analyzed.Eighteen herbs with a frequency≥100 were identified,with the top five being Semen Persicae(72.20%),Radix Achyranthis Bidentatae(61.66%),Radix Rehmanniae Praeparata(50.67%),Flos Carthami(48.65%),and Radix Rehmanniae(44.62%).Association rule analysis identified several strongly correlated herb pairs,including Carthami Flos-Persicae Semen(confidence=0.99)and Rehmanniae Radix Praeparata-Rehmanniae Radix(confidence=0.81).Cluster analysis grouped the core herbs into seven categories,forming a treatment framework mainly characterized by C1(kidney-tonifying and blood-activating),C3(liver-calming and wind-extinguishing),and C5(qi-tonifying,blood-activating,and collateral-unblocking)clusters.Based on frequency analysis,association rule analysis,and cluster analysis,the core herbal combination Rehmanniae Radix-Rehmanniae Radix Praeparata-Corni Fructus-Moutan Cortex was identified.(2)Network pharmacology analysis identified 565 intersecting targets of this core herbal combination against MS.Key targets included TP53,Akt1,STAT3,and JUN,mainly involving the PI3K-Akt signaling pathway,MAPK signaling pathway,and neuroactive ligand-receptor interaction pathway.Molecular docking showed a certain binding tendency between the key active compounds and core targets,among which quercetin exhibited relatively strong binding to JUN,Akt1,and STAT3,while rehmapicroside showed relatively strong binding to JUN.Conclusion Based on real-world clinical prescription data mining,this study identified Rehmanniae Radix-Rehmanniae Radix Praeparata-Corni Fructus-Moutan Cortex as the core herbal combination for MS,reflecting the compatibility characteristics of simultaneously emphasizing kidney-tonifying and essence-replenishing with blood-activating and collateral-unblocking strategies in clinical treatment.This herbal combination may act through key compounds such as quercetin and rehmapicroside on core targets including TP53,Akt1,STAT3,and JUN,and exert integrated therapeutic effects through pathways such as PI3K-Akt,MAPK,and neuroactive ligand-receptor interaction at multiple levels,including abnormal immune activation,amplification of inflammatory cascades,and imbalance between neural injury and repair.These findings provide a theoretical basis for the clinical prescription and mechanistic research of traditional Chinese medicine in the treatment of multiple sclerosis.
周思彤;杨涛;仝延萍;魏薇;刘星佑;樊泓佑;毕豪杰;樊永平
100700 北京中医药大学东直门医院脑病科首都医科大学附属北京天坛医院中医科首都医科大学附属北京天坛医院中医科首都医科大学附属北京天坛医院中医科首都医科大学附属北京天坛医院中医科100700 北京中医药大学东直门医院脑病科首都医科大学附属北京天坛医院中医科首都医科大学附属北京天坛医院中医科
医药卫生
多发性硬化数据挖掘网络药理学分子对接
multiple sclerosisdata miningnetwork pharmacologymolecular docking
《环球中医药》 2026 (5)
922-931,10
国家自然科学基金(82074350)
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