首页|期刊导航|中国中医眼科杂志|基于数据挖掘和网络药理学探讨中药复方治疗围绝经期干眼的用药规律及作用机制

基于数据挖掘和网络药理学探讨中药复方治疗围绝经期干眼的用药规律及作用机制OA

Based on Data Mining and Network Pharmacology to Explore the Medication Pat-terns and Mechanism of Action of Chinese Medicine Compounds in Treating Perimenopausal Dry Eye Disease

中文摘要英文摘要

目的 探讨中药复方治疗围绝经期干眼(PDED)的用药规律并筛选出核心药物,通过网络药理学分析核心药物的作用机制.方法 纳入建库至2024年11月中国知网、万方数据知识服务平台及维普中文期刊服务平台数据库的中文文献.依据纳入与排除标准筛选并整理临床使用的中药处方,采用中医传承计算平台V3.5软件分析中药频数、功效、性味归经、关联规则及聚类,确定治疗PDED的核心中药.利用TCMSP数据库筛选核心药物的活性成分及靶蛋白,并从Gene Card和OMIM数据库中获取PDED相关靶点.通过STRING和Cytoscape数据库构建蛋白质-蛋白质互作(PPI)网络和通过Cytoscape构建"核心药物-活性成分-交集靶点"网络,利用Metascape进行基因本体论(GO)富集和京都基因与基因组百科全书(KEGG)通路富集分析.分子对接分析使用PubChem、RCSB数据库,验证核心成分与关键靶点的结合活性.结果 (1)文献数据挖掘:共纳入文献45篇,包括50份处方,涉及中药104味.中药四气以寒性最多为261次(43.50%),五味以甘味最多为438次(48.72%),归经以肝经最多为338次(21.45%).(2)高频中药分析:使用频次≥6次的中药(高频中药)共30味,排名前3位分别为枸杞子34次(68.00%)、茯苓32次(64.00%)、当归30次(60.00%).使用频次排名前3位的高频中药类别分别是补虚类259次(56.80%)、清热类87次(19.08%)、利水渗湿类51次(11.18%).(3)关联规则和聚类分析:关联性较高的前3位依次为"菊花-枸杞子""白芍-当归""熟地黄-枸杞子".共得到3组核心药物组合.其中,Ⅰ类功效为滋补肝肾,清肝泻火;Ⅱ类功效为补肾助阳,滋阴泻火;Ⅲ类功效为滋阴养血,生津润燥.(4)网络药理学分析:核心药物活性成分与靶点收集,获得活性成分87个,作用靶点513个.共得到相关PDED靶点311个,其中与核心药物活性成分交集靶点55个.PPI网络分析关键靶点为IL-6、TNF、IL1B、ESR1、TP53等,构建"核心药物-活性成分-交集靶点"网络图后发现槲皮素、山柰酚、β-谷甾醇等与治疗PDED密切相关.GO功能富集分析核心药物治疗PDED主要涉及类固醇代谢、上皮细胞增殖、对脂多糖的反应、炎症反应等生物过程.KEGG代谢通路富集分析共涉及通路126条,主要包括AGE-RAGE、IL-17、HIF-1等信号通路.分子对接结合活性较好的4组为槲皮素-AR、槲皮素-ESR1、β-谷甾醇-PGR、槲皮素-PPARG.结论 茯苓、枸杞子、熟地黄、牡丹皮和菊花是临床治疗PDED的核心中药,其可通过多成分、多靶点、多通路治疗PDED.

OBJECTIVE To explore the medication patterns of Chinese medicine compounds in treating perimenopausal dry eye disease(PDED)and screen out the core medicines,and to analyze the mechanism of action of the core medicines through network pharmacology.METHODS Chinese literature was retrieved from the China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,and VIP Chinese Journal Service Platform up to November 2024.Chinese medicine prescriptions used clinically were screened and organized according to inclusion and exclusion criteria.The Traditional Chinese Medicine Inheritance Computing Platform V3.5 software was used to analyze medicine frequency,efficacy,property-flavor and meridian tropism,association rules,and clustering to determine the core Chinese medicines for treating PDED.The TCMSP database was utilized to screen active ingredients and target proteins of the core medicines.PDED-related targets were obtained from the GeneCard and OMIM databases.The STRING and Cytoscape databases were used to construct a protein-protein interaction(PPI)network,and Cytoscape was used to build a"core medicines-active ingredients-intersection targets"network.Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were performed using Metascape.Molecular docking analysis was conducted using PubChem and RCSB databases to validate the binding activity of core components with key targets.RESULTS(1)Literature data mining:A total of 45 articles were included,comprising 50 prescriptions involving 104 Chinese medicines.Among the medicine properties,cold nature was the most frequent(261 times,43.50%).Among the flavors,sweet was the most frequent(438 times,48.72%).Regarding meridian tropism,the liver meridian was the most frequent(338 times,21.45%).(2)High-frequency medicine analysis:Thirty medicines with a usage frequency≥six times(high-frequency medicines)were identified.The top three were Lycii fructus(Gouqizi,34 times,68.00%),Poria(Fuling,32 times,64.00%),and Angelicae Sinensis radix(Danggui,30 times,60.00%).The top three categories of high-frequency medicines by total frequency were tonifying-deficiency medicines(259 times,56.80%),heat-clearing medicines(87 times,19.08%),and dampness-dispelling diuretic medicines(51 times,11.18%).(3)Association rule and cluster analysis:The top three highly associated medicine pairs were"Chrysanthemi flos-Lycii fructus","Paeoniae radix alba-Angelicae sinensis radix",and"Rehmanniae radix praeparata-Lycii fructus".Three groups of core medicine combinations were obtained.The main effect of group Ⅰ was nourishing the liver and kidney,clearing liver fire;Group Ⅱ was tonifying kidney Yang and nourishing Yin to purge fire;Group Ⅲ was nourishing Yin and blood,promoting fluid production and moistening dryness.(4)Network pharmacology analysis:A total of 87 active ingredients and 513 action targets were collected for the core medicines.311 PDED-related targets were obtained,with 55 being intersection targets with the core medicine active ingredients.PPI network analysis identified key targets such as IL-6,TNF,IL1B,ESR1,and TP53.The"core medicines-active ingredients-intersection targets"network revealed that quercetin,kaempferol,β-sitosterol,etc.,were closely related to the treatment of PDED.GO functional enrichment analysis indicated that the biological processes of core medicines in treating PDED mainly involved steroid metabolism,epithelial cell proliferation,response to lipopolysaccharide,inflammatory response,etc.KEGG pathway enrichment analysis involved 126 pathways,mainly including AGE-RAGE,IL-17,HIF-1 signaling pathways,etc.Molecular docking showed four pairs with good binding activity:Quercetin-AR,quercetin-ESR1,β-sitosterol-PGR,and quercetin-PPARG.CONCLUSIONS Poria,Lycii fructus,Rehmanniae radix praeparata,Moutan cortex and Chrysanthemi flos are the core medicines for clinically treating PDED,which may exert therapeutic effects through multiple components,targets,and pathways.

朱笑莹;尹连荣;王瑶;马若楠;于滢

中国中医科学院眼科医院,北京 100040中国中医科学院眼科医院,北京 100040中国中医科学院眼科医院,北京 100040中国中医科学院眼科医院,北京 100040中国中医科学院眼科医院,北京 100040

医药卫生

中药复方围绝经期干眼数据挖掘网络药理学

Chinese medicine compound formulationperimenopausal dry eyedata miningnetwork pharmacology

《中国中医眼科杂志》 2026 (6)

526-534,9

1中国中医科学院眼科医院中央高水平中医医院项目(GSP2-06,GSP3-12)2北京市中医药科技发展资金项目(BJZYYB-2023-76)

10.13444/j.cnki.zgzyykzz.2026.06.005

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