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北京中医药大学东直门医院,北京,100007
纸质出版日期:2024,
网络出版日期:2024-2-10,
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刘苗苗, 袁振华, 张蔷, 等. 基于数据挖掘和网络药理学探讨中医药治疗腺样体肥大的用药规律及核心中药作用机制[J]. 儿科药学杂志, 2024,30(2):4-10.
Liu Miaomiao, Yuan Zhenhua, Zhang Qiang, et al. Exploration of Medication Rules and Core Mechanism of Traditional Chinese Medicine in the Treatment of Adenoidal Hypertrophy Based on Data Mining and Network Pharmacology[J]. 2024,30(2):4-10.
刘苗苗, 袁振华, 张蔷, 等. 基于数据挖掘和网络药理学探讨中医药治疗腺样体肥大的用药规律及核心中药作用机制[J]. 儿科药学杂志, 2024,30(2):4-10. DOI: 10.13407/j.cnki.jpp.1672-108X.2024.02.002.
Liu Miaomiao, Yuan Zhenhua, Zhang Qiang, et al. Exploration of Medication Rules and Core Mechanism of Traditional Chinese Medicine in the Treatment of Adenoidal Hypertrophy Based on Data Mining and Network Pharmacology[J]. 2024,30(2):4-10. DOI: 10.13407/j.cnki.jpp.1672-108X.2024.02.002.
目的:为推动中医药治疗腺样体肥大提供参考。方法:检索中国知网、万方、维普数据库,收集2008-2022年以中医药治疗腺样体肥大的文献,筛选文献并提取中药方剂,对方剂的药物频次、四气五味、关联规则进行分析,获取核心药对。通过中医数据库与分析平台(TCMSP)获取核心药对的化学成分及靶点,通过GeneCards、OMIM、DisGeNET数据库获取疾病靶点,基于Cytoscape 3.9.1软件构建中药核心药对-有效活性成分-疾病-靶点网络图并进行拓扑分析。借助Venny平台获取疾病与药物交集靶点,运用STRING数据库、DAVID6.8数据库进行机制分析。结果:筛选得到方剂100首,药物176味,其中使用频次≥15共26味;关联度规则挖掘出辛夷-苍耳子-夏枯草置信度最高。对“辛夷-苍耳子-夏枯草”进行网络药理分析,活性成分主要为槲皮素、木犀草素、山奈酚、豆甾醇和β-谷甾醇,PPI网络分析结果显示关键靶点有IL-6、TNF、AKT1、VEGFA、CASP3等,GO富集分析结果共计925条,KEGG富集通路主要涉及AGE-RAGE信号通路、IL-17信号通路、PI3K-Akt信号通路、TNF信号通路等信号通路。结论:中医药治疗腺样体肥大主要的核心药对为“辛夷-苍耳子-夏枯草”,通过多成分、多靶点、多途径治疗腺样体肥大,其机制可能是调控PI3K-Akt信号通路、IL-17信号通路、TNF信号通路、AGE-RAGE信号通路等生物信号通路来抑制炎症因子的释放,调控细胞增殖和凋亡。
Objective: To provide reference for promoting the treatment of adenoid hypertrophy with traditional Chinese medicine. Methods: Literature with traditional Chinese medicine in the treatment of adenoid hypertrophy were retrieved from CNKI
Wanfang and VIP databases from 2008 to 2022. Literature were screened and traditional Chinese medicine prescriptions were extracted. The drug frequency
four properties and five flavors and association rules of the prescriptions were analyzed to obtain the core drug pairs. Chemical components and targets of core drug pairs were obtained through traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP)
and disease targets were obtained through GeneCards
OMIM and DisGeNET databases. Network diagram of core drug pairs-active components-disease-targets was constructed and topological analysis was performed based on Cytoscape 3.9.1 software. Venny platform was used to obtain the intersection targets of diseases and drugs
STRING and DAVID6.8 databases were used for mechanism analysis. Results: Totally 100 prescriptions and 176 drugs were screened
among which 26 drugs were used ≥15 times. According to the correlation rule
the confidence of “flos magnoliae-fructus xanthii-selfheal” was the highest. The network pharmacological analysis of “flos magnoliae-fructus xanthii-selfheal” was conducted
and the main active components were quercetin
luteolin
kaempferol
stigmasterol and β-sitosterol. Protein-protein interaction (PPI) network analysis results showed that the key targets were interleukin (IL)-6
tumor necrosis factor (TNF)
AKT1
vascular endothelial growth factor A (VEGFA)
and CASP3. A total of 925 gene ontology (GO) enrichment results were obtained. Kyoto encyclopedia of genes and genomes (KEGG) enrichment pathway mainly included advanced glycosylation end products-receptors of advanced glycosylation end products (AGE-RAGE) signaling pathway
IL-17 signaling pathway
PI3K-Akt signaling pathway
TNF signaling pathway and other signaling pathways. Conclusion: The main core drug pair of traditional Chinese medicine in the treatment of adenoid hypertrophy is “flos magnoliae-fructus xanthii-selfheal”
which is a multi-component
multi-target
multi-pathway treatment for adenoid hypertrophy. Its mechanism may be to regulate PI3K-Akt signaling pathway
IL-17 signaling pathway
TNF signaling pathway
AGE-RAGE signaling pathway and other biological signaling pathways to inhibit the release of inflammatory factors and regulate cell proliferation and apoptosis.
腺样体肥大数据挖掘网络药理学中医药
adenoid hypertrophydata miningnetwork pharmacologytraditional Chinese medicine
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