首页|甘露消毒丹调控PI3K/Akt信号通路干预甲型流感病毒感染的作用机制

甘露消毒丹调控PI3K/Akt信号通路干预甲型流感病毒感染的作用机制

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目的 基于网络药理学探讨甘露消毒丹治疗甲型流感病毒感染的活性成分及作用机制,并用动物实验加以验证.方法 利用中药系统药理学数据库与分析平台(TCMSP)获取和筛选药物有效成分,利用TCMSP及Swiss Target Prediction数据库预测潜在作用靶点.利用比较毒物基因组学数据库(CTD)、疾病相关基因与突变位点数据库(DisGeNET)、GeneCards数据库、在线人类孟德尔遗传数据库(OMIM)获得甲型流感病毒感染的疾病靶点,将药物预测潜在作用靶点与疾病靶点取交集获得交集靶点.利用Cytoscape3.9.1构建药物-成分-靶点网络并进行拓扑属性分析,预测中药主要活性成分.利用蛋白互作数据库(STRING)及Cytoscape3.9.1绘制蛋白质-蛋白质相互作用(PPI)网络图,获取关键作用靶点.利用Metascape数据库进行基因本体(GO)功能以及京都基因和基因组百科全书(KEGG)通路富集分析.将C57BL/6J小鼠分为空白组、模型组、中药组及对照组,每组5只,甲型流感病毒PR8滴鼻感染小鼠构建感染模型,中药组予以甘露消毒丹灌胃,对照组予磷酸奥司他韦灌胃.观察肺指数、肺组织病理变化,实时荧光定量逆转录PCR(RT-qPCR)法检测肺组织磷脂酰肌醇3-激酶(PI3K)/蛋白激酶B(AKT)基因表达,双抗体夹心酶联免疫吸附法(ELISA)检测肺组织IL-6、IL-1β、TNF-α.结果 共筛选出甘露消毒丹125个化合物作为候选有效成分,获得286个潜在作用靶点,2223个甲型流感病毒相关疾病靶点,61个交集靶点.药物-成分-靶点网络得到槲皮素、山奈酚、汉黄芩素、木犀草素、黄芩素、葛花苷元、金合欢素、异鼠李素、去氢二异丁香酚、柚皮素等10个关键成分.PPI网络得到TNF、IL-6、IL-1β、AKT1、TP53、JUN、HIF1A、PTGS2、MMP9、ESR1等10个关键靶点.GO功能富集分析共获得条目54条,其中生物过程20条,细胞组分14条,分子功能20条;KEGG通路富集分析共获得条目共20条,其中包括AGE-RAGE信号通路、癌症通路、松弛素信号通路、PI3K-Akt信号通路等.与空白组比较,模型组肺指数高(P<0.05);与模型组比较,中药组、对照组肺指数低(P<0.05).模型组小鼠肺组织间质水肿,大量淋巴细胞、单核细胞浸润,肺泡壁明显增宽,肺泡融合.中药组及对照组小鼠肺组织间质水肿减轻,淋巴细胞、单核细胞浸润减少,肺泡壁增宽减轻,部分肺泡融合.与空白组比较,模型组小鼠肺组织中PI3K、AKT mRNA表达高(P<0.05).与模型组比较,中药组PI3K、AKT mRNA表达低(P<0.05),对照组PI3K mRNA表达低(P<0.05).与空白组比较,模型组肺组织中IL-6、IL-1β、TNF-α水平高(P<0.05).与模型组比较,中药组肺组织中IL-6、IL-1β、TNF-α水平低(P<0.05);对照组肺组织中IL-6、IL-1β水平低(P<0.05).结论 甘露消毒丹可通过抑制甲型流感病毒感染小鼠炎症反应改善肺损伤,其作用机制可能与抑制PI3K/Akt信号通路的过度激活有关.
Mechanism of Ganlu Xiaodu Dan's intervention in influenza A virus infection by regulating PI3K/Akt signaling pathway
Objective To investigate the active ingredients and mechanism of Ganlu Xiaodu Dan in the treatment of influenza A virus infection based on network pharmacology,and to verify it by animal experiments. Methods Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP)database were used to obtain and screen the active ingredients,and TCMSP and Swiss Target Prediction database were used to predict the potential targets. Comparative Toxicogenomics Database (CTD),Disease Gene Network(DisGeNET)database,GeneCards database and Online Mendelian Inheritance in Man(OMIM)database were used to obtain the disease targets of influenza A virus infection,and the potential targets of drug prediction were intersected with the disease targets to obtain the intersection targets. The drug-ingredient-target network was constructed by using Cytoscape3.9.1 and topological attribute analysis was performed to predict the main active ingredients of traditional Chinese medicine.Protein-protein interaction(PPI)network was mapped using Search Tool for the Retrieval of Interaction Gene/Proteins (STRING) database and Cytoscape3.9.1 to obtain key targets. Gene Ontology (GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)path enrichment were analyzed using Metascape database.C57BL/6J mice were divided into blank group,model group,traditional Chinese medicine group and oseltamivir group,with 5 mice in each group. Mice infected with influenza A virus PR8 nasal drops were constructed to establish the infection model.The traditional Chinese medicine group was given Ganlu Xiaodu Dan with gavage administration and the control group was given oseltamivir phosphate with gavage administration. V bThe lung index and lung tissue pathology were observed.The expression levels of Phosphatidylinositol 3-kinase(PI3K)and Protein kinase B (AKT)gene were detected by quantitative reverse transcription PCR (RT-qPCR),and the expression levels of IL-6,IL-1β and TNF-α were detected by enzyme linked immunosorbent assay (ELISA). Results A total of 125 compounds were selected as candidate effective ingredients,and 286 potential targets,2223 disease targets associated with influenza A virus and 61 intersection targets were obtained. Ten key components,including quercetin,kaonaphthol,baicalein,luteolin,baicalein,puerarin,acacia,isorhamnetin,dehydrodiisoeugenol and naringenin,were obtained by drug-ingredient-target network. The PPI network obtained 10 key targets including TNF,IL-6,IL-1β,AKT1,TP53,JUN,HIF1A,PTGS2,MMP9 and ESR1. A total of 54 items were obtained by GO functional enrichment analysis,including 20 biological processes,14 cell components,and 20 molecular functions. A total of 20 items were obtained by KEGG pathway enrichment analysis,including AGE-RAGE signaling pathway,cancer signaling pathway,relaxin signaling pathway,and PI3K-Akt signaling pathway.Compared with the blank group,the lung index in the model group was higher(P<0.05).Compared with the model group,the lung index of the Chinese medicine group and the control group was lower(P<0.05).In the model group,interstitial edema of lung tissue,infiltration of a large number of lymphocytes and monocytes,obvious widening of alveolar wall and alveolar fusion were observed.The interstitial edema of lung tissue,the infiltration of lymphocytes and monocytes,the widening of alveolar wall and partial alveolar fusion were reduced in the Chinese medicine group and the control group. Compared with the blank group,the expression of PI3K and AKT mRNA in the lung tissue of the model group was higher(P<0.05).Compared with model group,PI3K mRNA and AKT mRNA expression were lower in TCM group(P<0.05),and PI3K mRNA expression was lower in control group(P<0.05).Compared with blank group,the levels of IL-6,IL-1β and TNF-α in lung tissue of model group were higher(P<0.05).Compared with model group,the levels of IL-6,IL-1β and TNF-α in lung tissue of TCM group were lower (P<0.05),while the levels of IL-6 and IL-1β in lung tissue of control group were lower (P<0.05). Conclusion Ganlu Xiaodu Dan can improve lung injury by inhibiting inflammatory response in mice infected with influenza A virus,and the mechanism may be related to inhibiting the over-activation of PI3K/Akt signaling pathway.

Network pharmacologyinfluenza A virustarget pointphosphatidylinositol 3-kinase/protein kinase B signaling pathwayGanlu Xiaodu Danfebrile disease

黄廷轩、郭姗姗、赵荣华、张悦、吕思缘、于会勇、王成祥

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北京中医药大学东直门医院厦门医院呼吸与危重症医学科,厦门 361015

中国中医科学院中药研究所生物安全实验室,北京 100700

北京中医药大学第三附属医院呼吸科,北京 100029

网络药理学 甲型流感病毒 靶点 磷脂酰肌醇3-激酶/蛋白激酶B信号通路 甘露消毒丹 温病

国家自然科学基金资助项目

82074389

2024

北京中医药
北京中医药学会,北京中西医结合学会

北京中医药

CSTPCD
影响因子:0.718
ISSN:1674-1307
年,卷(期):2024.43(8)
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