基于数据挖掘与网络药理学探究中医药改善子宫内膜容受性的用药规律及作用机制  

Medication Rule and Mechanism of Chinese Medicine to Improve Endometrial Receptivity Based on Data Mining and Network Pharmacology

作　　者：郑志博 刘雁峰[2] 李影 陈洁 侯婷婷 丁彩飞[1] 江雪娟 ZHENG Zhibo;LIU Yanfeng;LI Ying;CHEN Jie;HOU Tingting;DING Caifei;JIANG Xuejuan(Department of Reproductive,Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine,Hangzhou Zhejiang 310003,China;Department of Gynecology,Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing 100700,China;Department of Integrative Medicine,Zhejiang Provincial People's Hospital,Hangzhou Zhejiang 310014,China)

机构地区：[1]浙江省中西医结合医院生殖医学科,浙江杭州310003 [2]北京中医药大学东直门医院妇科,北京100700 [3]浙江省人民医院中西医结合科,浙江杭州310014

出　　处：《新中医》2025年第1期192-200,共9页New Chinese Medicine

基　　金：国家自然科学基金项目(82074480,82274567);浙江省中医药科技计划项目(2025ZR176,2025ZS003);杭州市红十字会医院博士科研启动基金项目(HHBJ2024001)。

摘　　要：目的:基于数据挖掘与网络药理学探究中医药改善子宫内膜容受性(ER)的组方用药规律及潜在作用机制。方法:以ER为主题,通过中国知网、万方学术期刊全文数据库、维普中文科技期刊数据库检索相关文献。依据限定条件筛选后,应用Microsoft Excel 2019软件建立数据库,计算药物使用频次,应用SPSS Modeler 18.0软件进行关联规则分析及复杂网络构建,应用SPSS Statistics 26.0软件进行系统聚类分析。归纳中医药改善ER的用药规律及配伍关系;通过中药系统药理学平台与SwissTargetPrediction数据库获取核心药物的活性成分及靶点,在GeneCards数据库中获取ER低下的潜在作用靶点,将核心药物与ER低下的交集靶点导入String数据库和Cytoscape 3.7.1软件获取关键靶点,对交集靶点进行基因本体(GO)功能富集分析和京都基因与基因组百科全书(KEGG)通路富集分析。结果:通过检索文献,筛选出方剂130首,中药159味,使用频次较高的4味中药依次为菟丝子、当归、熟地黄、丹参;关联规则分析结果显示菟丝子、当归、熟地黄、丹参是改善ER的核心药物;聚类分析获得养血、温阳、滋阴3类药物组合。对“菟丝子-当归-熟地黄-丹参”进行网络药理学分析,获取45个核心药物与ER低下的交集靶点,10个关键靶点。GO功能富集分析结果显示,核心药物改善ER可能通过影响激素反应、细胞迁移与细胞运动的正向调节等生物过程,膜筏、转录调节因子复合物等细胞组分,激素结合、转录因子结合等分子功能发挥作用。KEGG通路富集分析结果显示,核心药物可能通过磷脂酰肌醇3-激酶/蛋白激酶B(PI3K/Akt)信号通路、缺氧诱导因子-1(HIF-1)信号通路、血管内皮生长因子(VEGF)信号通路、叉头框蛋白O(FOXO)信号通路等改善ER。结论:中医药改善ER以补肾填精、养血活血为主,核心药物菟丝子-当归-熟地黄-丹参可能通过肿瘤坏死因子、丝�Objective:To explore the medication rule and potential mechanism of Chinese medicine in improving endometrial receptivity(ER)based on data mining and network pharmacology.Methods:The ER-relevant literature was retrieved through the China National Knowledge Infrastructure,the Wanfang Date,and the VIP Chinese Science Journals Database.After screening according to the limited conditions,Microsoft Excel 2019 software was used to establish a database;the frequency of medicinals use was calculated;SPSS Modeler 18.0 software was used for association rule analysis and complex network construction;SPSS Statistics 26.0 software was used for systematic cluster analysis.Therefore,the medication rules and compatibility of Chinese medicine to improve ER were summarized.Furthermore,the active ingredients and targets of core medicinals were obtained through the TCM System Pharmacology Platform and the SwissTargetPrediction database.Potential targets of low ER were obtained from the GeneCards database.The intersection targets of core medicinals and low ER were imported into the String database and Cytoscape 3.7.1 to obtain the key targets.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis of the intersection targets were further carried out.Results:Through the literature search,130 formulas and 159 Chinese medicinals were screened and summarized to improve ER.The four Chinese medicinals with high frequency of use were Cuscutae Semen,Angelicae Sinensis Radix,Rehmanniae Radix Praeparata,and Salviae Miltiorrhizae Radix et Rhizoma.The association rules showed that Cuscutae Semen,Angelicae Sinensis Radix,Rehmanniae Radix Praeparata,and Salviae Miltiorrhizae Radix et Rhizoma were the core medicinals to improve ER.Cluster analysis divided Chinese medicinals into three categories:blood nourishment,warming yang,and yin nourishment.Network pharmacological analysis of"Cuscutae Semen-Angelicae Sinensis Radix-Rehmanniae Radix Praeparata-Salviae Miltiorrhizae Radix et Rhizoma"was carried out,and 45 intersecti

关 键 词：子宫内膜容受性 中医药 数据挖掘 网络药理学 用药规律 体外受精-胚胎移植 

分 类 号：R714.8[医药卫生—妇产科学]