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知柏地黄化裁方治疗中枢性性早熟的作用机制OA

Mechanism of Modified Zhibai Dihuang Formula in the Treatment of Gonadotrophin-Dependent Precocious Puberty

中文摘要英文摘要

目的:应用 UPLC-Q-TOF-MS/MS、网络药理学、分子对接、分子动力学模拟探究知柏地黄化裁方治疗中枢性性早熟(gonadotrophin dependent precocious puberty,GDPP)的主要入血成分及作用机制.方法:将12 只 SD 大鼠随机分为空白组和知柏地黄化裁方组,每组6 只.知柏地黄化裁方组大鼠给予37.8 g·kg-1知柏地黄化裁方溶液,空白组给予等量蒸馏水,连续给药7 d,末次给药60 min 后,取血制备含药血清.采用 UPLC-Q-TOF-MS/MS 技术获取知柏地黄化裁方的入血成分.通过SwissTargetPrediction、TCMSP 数据库收集入血成分作用靶点.在GeneCards、OMIM、Drugbank、Disgenet 数据库中检索疾病靶点.将入血成分靶点与疾病靶点输入 Venny 2.1.0 在线工具获取入血成分相关靶点和疾病相关靶点的交集靶点.应用 Cytoscape 3.7.2 和 STRING 构建"知柏地黄化裁方-入血成分-交集靶点-GDPP"网络及 PPI 网络,筛选知柏地黄化裁方治疗 GDPP 的关键成分和核心靶点.采用 Metascape 对交集靶点进行基因本体论(Gene Ontology,GO)富集分析和京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)信号通路富集分析.使用Autodock Vina 软件对核心成分和关键靶点进行分子对接.采用 SwissADME 分析核心成分的胃肠吸收和药物相似性,并采用 pkCSM 分析其毒性.采用 Cromacs 2022 进行分子动力学模拟.结果:采用 UPLC-Q-TOF-MS/MS 鉴定出32 个入血成分.利用SwissTargetPrediction 和TCMSP 得到875 个入血成分靶点;使用 Genecards、OMIM、Drugbank 和 Disgenet 数据库得到 GDPP 相关靶点 3 121 个;两者取交集得到交集靶点319 个.拓扑分析发现四氢小檗碱、泽泻醇 B 乙酸酯、柴胡皂苷 B2、秦皮素、苯甲酰芍药苷、柴胡皂苷 A、知母皂苷 A1 等为核心成分,蛋白激酶 B(protein kinase B,PKB,又称 AKT)、TP53、雌激素受体 1(estrogen receptor 1,ESR1)、白细胞介素-6(inter-leukin-6,IL-6)等为关键靶点.GO 富集分析得到生物过程2 444 个、细胞组成166 个、分子功能416 个.KEGG 信号通路富集分析得到220 条信号通路.分子对接显示,核心成分与核心靶点具有良好的结合能力,其中,知母皂苷 A1-ESR1、苯甲酰芍药苷-ALB 的结合能最低.分子动力学模拟显示,知母皂苷 A1-ESR1、苯甲酰芍药苷-ALB 具有较好的结构稳定性及结合亲和力.结论:知柏地黄化裁方中知母皂苷 A1、苯甲酰芍药苷等成分可通过调控 ESR1、ALB 等靶点发挥治疗 GDPP 的作用.

Objective:To explore the major blood-absorbed components and the mechanism of Modified Zhibai Dihuang Formula for gona-dotrophin-dependent precocious puberty(GDPP)by UPLC-Q-TOF-MS/MS,network pharmacology,molecular docking and molecular dynamics simulation.Methods:A total of 12 SD rats were randomly divided into the blank group and the Modified Zhibai Dihuang For-mula group,with 6 rats in each group.The blank group was administered an equal volume of distilled water,while the Modified Zhibai Dihuang Formula group received 37.8 g·kg-1 of Modified Zhibai Dihuang Formula for 7 consecutive days.Blood samples were collect-ed 60 minutes after the last administration to prepare drug-containing serum.UPLC-Q-TOF-MS/MS was employed to identify blood-ab-sorbed components of Modified Zhibai Dihuang Formula.Targets of blood-absorbed components were retrieved from SwissTargetPredic-tion and TCMSP databases.Disease-related targets were obtained from GeneCards,OMIM,Drugbank and DisGeNET databases.Venny 2.1.0 online tool was used to acquire the intersecting targets between component-related targets and disease-related targets.Cytoscape 3.7.2 and STRING were applied to construct the"Modified Zhibai Dihuang Formula-blood-absorbed components-targets-GDPP"net-work and protein-protein interaction(PPI)network,so as to screen core components and key therapeutic targets of Modified Zhibai Di-huang Formula against GDPP.Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway en-richment analyses of intersecting targets were performed via Metascape.Autodock Vina was used for molecular docking between core components and key targets.SwissADME was adopted to evaluate gastrointestinal absorption and drug-likeness of core components,whereas pkCSM was used for toxicity assessment.GROMACS 2022 was utilized for molecular dynamics simulation.Results:A total of 32 blood-absorbed components were identified by UPLC-Q-TOMS/MS.Altogether 875 targets of blood-absorbed components were obtained from SwissTargetPrediction and TCMSP;3,121 GDPP-associated targets were collected from GeneCards,OMIM,Drugbank and DisGeN-ET,yielding 319 intersecting targets.Topological analysis indicated that tetrahydroberberine,alisol B acetate,saikosaponin B2,fraxetin,benzoylpaeoniflorin,saikosaponin A,timosaponin A-were core components,and AKT1,TP53,ESR1,IL-6 were key targets.GO enrich-ment analysis yielded 2,444 biological process terms,166 cellular component terms and 416 molecular function terms.A total of 220 pathways were enriched in KEGG analysis.Molecular docking results revealed favorable binding affinity between core components and key targets;timosaponin A1-ESR1 and benzoylpaeoniflorin-ALB exhibited the lowest binding energy.Molecular dynamics simulation demonstrated that timosaponin A1-ESR1 and benzoylpaeoniflorin-ALB possessed satisfactory structural stability and binding affinity.Conclusion:Components such as timosaponin A1 and benzoylpaeoniflorin in Modified Zhibai Dihuang Formula exert therapeutic effects on GDPP possibly by regulating targets including ESR1 and ALB.

马远;孙凤平

郑州大学附属儿童医院,河南省儿童医院郑州儿童医院,河南 郑州 450018郑州大学附属儿童医院,河南省儿童医院郑州儿童医院,河南 郑州 450018

医药卫生

中枢性性早熟知柏地黄化裁方UPLC-Q-TOF-MS/MS网络药理学分子对接富集分析分子动力学模拟大鼠

gonadotrophin-dependent precocious pubertyModified Zhibai Dihuang FormulaUPLC-Q-TOF-MS/MSnetwork pharmacol-ogymolecular dockingenrichment analysismolecular dynamics simulationrat

《河南中医》 2026 (10)

1466-1476,11

河南省科技攻关项目(262102310492,222102310281)郑州市医疗卫生领域科技创新指导计划项目(2024YLZDJH369)

10.16367/j.issn.1003-5028.2026.10.0239

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