基于数据挖掘及网络药理学方法探究朱文宗治疗神经性失眠伴焦虑状态用药规律及机制
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R256.23

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浙江省自然科学基金项目(LY18H270001)


Exploration of Medication Rules of ZHU Wenzong in Treating Neuropathic Insomnia Complicated with Anxiety and Its Mechanism Based on Data Mining and Network Pharmacology
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    摘要:

    目的:通过数据挖掘技术以及网络药理学方法探究朱文宗教授治疗神经性失眠伴焦虑状态的用药 规律及作用机制。方法:收集2020年2月—2022年12月朱文宗教授于浙江中医药大学附属温州市中医院门诊 部治疗神经性失眠伴焦虑状态患者的中药处方,运用中医传承计算平台V3.0对处方中所使用到的中药进行频 次、频率统计,运用IBM SPSS Modeler 18.0软件进行关联规则分析,得出核心药物组。通过在中药系统药理学 数据库与分析平台(TCMSP) 预测核心药物组的活性成分及对应靶点;检索DrugBank数据库、基因组注释数 据平台(GeneCards)、药物靶标数据库(TTD) 及在线人类孟德尔遗传(OMIM) 数据库获取疾病相关靶点, 得到药物-疾病交集靶点。将核心药物活性成分及其作用靶点与药物-疾病交集靶点导入Cytoscape 3.9.1软件构 建疾病-核心药物-成分-靶点网络图。将药物-疾病交集靶点导入STRING数据库进行蛋白质互相作用(PPI) 网络分析。将药物-疾病交集靶点导入Metascape数据库进行基因本体(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:共纳入308个处方,涉及中药共计174味,累计使用频次4 064次, 其中使用频次≥60次的高频药物共20味。使用频次排在前5位的中药由高到低依次为甘草、半夏、黄芩、柴 胡、党参。将174味中药进行性、味、归经分析,结果显示,药性以温性为主,其次为平性、微寒性等。药味 以辛味为主,其次为苦味、甘味等。归经以肺、脾两经为主,其次为心经、肝经、胃经。关联规则分析以及复 杂网络分析得出核心药物组为半夏-柴胡-黄芩-党参。对核心药物组进行网络药理学分析,得到63个药物-疾 病交集靶点以及63个药物核心活性成分,主要包括豆甾醇、槲皮素和β-谷甾醇等。PPI网络分析结果得出 15个核心靶点,分别为血管内皮生长因子A(VEGFA)、白细胞介素8(IL8)、前列腺素G/H合酶2(PTGS2)、 白细胞介素1β(IL1B)、淀粉样β蛋白前体(APP)、钠依赖性多巴胺转运体(SLC6A3)、钠依赖性5-羟色胺转运 体(SLC6A4)、细胞色素P4503A4 (CYP3A4)、白细胞介素6 (IL6)、神经元乙酰胆碱受体亚基α -7(CHRNA7)、半胱氨酸天冬氨酸蛋白酶3(CASP3)、5-羟色胺受体2C(HTR2C)、雌激素受体(ESR1)、白 细胞介素10(IL10)、肿瘤坏死因子(TNF)。GO功能富集分析结果显示,核心药物组可能通过影响突触、树 突、受体复合物、神经递质受体活性等方面发挥作用。KEGG通路富集分析结果显示,核心药物组可能通过神 经活性配体-受体相互作用、多种疾病-神经退行性变的通路等对神经性失眠伴焦虑状态产生影响。结论:朱 文宗教授治疗神经性失眠伴焦虑状态以健脾理气、益气养阴之法为主,兼以疏肝和胃、养心安神。常用的核心 药物组为半夏、黄芩、柴胡、党参,该药物组的核心活性成分可能通过神经活性配体-受体相互作用等通路, 作用于神经元的突触、树突,影响神经递质受体活性等方面发挥治疗效果,充分体现了中医药治疗疾病多成 分、多靶点、多通路协同作用的特点。

    Abstract:

    Abstract: Objective: To explore the medication rules of Professor ZHU Wenzong in treating neuropathic insomnia complicated with anxiety and its mechanism by data mining technology and network pharmacology. Methods: The Chinese medicine prescriptions for patients with neuropathic insomnia complicated with anxiety by Professor ZHU at the Outpatient Department of Wenzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University from February 2020 to December 2022 were collected, where the frequency of Chinese medicinals used was counted by the Traditional Chinese Medicine Inheritance Computing Platform V3.0,and association rule analysis for core medicinal groups was carried out by using the software IBM SPSS Modeler 18.0. The active components and corresponding targets of core medicinal groups were predicted on the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP); the disease-related targets were obtained by searching the DrugBank database, Genome Annotation Database Platform (GeneCards), Therapeutic Target Database (TTD), and Online Mendelian Inheritance in Man (OMIM). Using the software Cytoscape 3.9.1, the disease-core medicines-components-targets network was established by importing the active components and corresponding targets of core medicine and medicine-disease intersecting targets. The network analysis of protein-protein interaction (PPI) was conducted by importing the medicine-disease intersecting targets into the STRING database. The enrichment analysis of Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway was carried out by importing the medicinedisease intersecting targets into the Metascap database. Results: A total of 308 prescriptions were included and 174 Chinese medicinals were involved,with accumulated times of use of 4 064. Among them, a total of 20 Chinese medicinals were highly used for more than 60 times,and the top 5 were subsequently Glycyrrhizae Radix et Rhizoma, Pinelliae Rhizoma, Scutellariae Radix, Bupleuri Radix and Codonopsis Radix. The 174 Chinese medicinals were analyzed for their nature, flavor and channel entries, which showed that they were mainly warm, followed by neutral and slightly cold in nature; the majority was acrid, followed by bitter and sweet in flavor; the channel entries were mainly the lung and spleen, followed by the heart, liver and stomach. The association rules analysis and complicate network analysis showed that the core medicinal group was Pinelliae Rhizoma-Scutellariae Radix-Bupleuri Radix- Codonopsis Radix, which was given the network pharmacology analysis, and the results showed that there were 63 medicine-disease intersecting targets and active components, mainly including stigmasterol, quercetin and β-sitosterol. There were 15 core targets obtained by PPI network analysis, including vascular endothelial growth factor A (VEGFA), interleukin-8 (IL8), prostaglandin G/H synthase 2 (PTGS2), interleukin-1β (IL1β), amyloid- β precursor protein (APP), sodium-dependent dopamine transporter (SLC6A3), sodium-dependent serotonin transporter (SLC6A4), cytochrome P450 3A4 (CYP3A4), interleukin-6 (IL6), neuronal acetylcholine receptor subunit alpha-7 (CHRNA7), caspase-3 (CASP3), 5-hydroxytryptamine receptor 2C (HTR2C), estrogen receptor (ESR1), interleukin-10 (IL10), and tumor necrosis factor (TNF). The results of GO function enrichment analysis showed that the core medicine group may play a role by affecting synaptic membrane, dendrite, receptor complex and neurotransmitter receptor activity. The results of KEGG pathway enrichment analysis showed that the core medicine group may affect neuropathic insomnia complicated with anxiety by the neuroactive ligandreceptor interaction and pathways of multiple diseases-neurodegeneration. Conclusion: The treatment methods of Professor ZHU in treating neuropathic insomnia complicated with anxiety are mainly fortifying the spleen and regulating qi,and boosting qi and tonifying yin,supplemented with soothing the liver and harmonizing the stomach, and nourishing the heart and calming the mind. The commonly used core medicine group was Pinelliae Rhizoma,Scutellariae Radix,Bupleuri Radix and Codonopsis Radix,whose core active components may exert its curative effects by mainly acting on the synapses and protoplasmic dendrites of neurons, and affecting the activity of neurotransmitter receptors through neuroactive ligandreceptor interaction and other pathways, which fully presents the synergism of multiple components, targets and pathways in the treatment with Chinese medicine.

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谢佳峄,蒋越,陈婷婷,指导:朱文宗.基于数据挖掘及网络药理学方法探究朱文宗治疗神经性失眠伴焦虑状态用药规律及机制[J].新中医,2024,56(8):14-24

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  • 在线发布日期: 2024-04-23
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