目的 基于网络药理学与分子对接技术探讨三七注射液治疗狼疮性肾炎(LN)的作用机制。方法 通过检索《中华人民共和国药典》和多个数据库查询三七注射液的主要成分三七总皂苷(PNS)的活性化学成分及其作用靶点,通过OMIM、GeneCards、DrugBank数据库筛选LN的相关靶点,取两者的共同靶点。使用Cytoscape 3.8.2软件构建共同靶点及其对应活性化学成分的“活性成分-靶点”网络和共同靶点的蛋白-蛋白相互作用网络,筛选PNS治疗LN的主要活性化学成分和潜在核心靶点。对共同靶点进行基因本体论(GO)功能富集分析、京都基因与基因组百科全书(KEGG)通路富集分析,使用AutoDock 1.5.7软件对潜在核心靶点与主要活性化学成分进行分子对接分析。结果 共得到PNS的活性化学成分11个及其作用靶点250个,LN相关靶点1 329个,两者共同靶点49个。PNS治疗LN的主要活性化学成分包括人参皂苷Rg1、三七皂苷R1、人参皂苷Re、人参皂苷Rb1等,潜在核心靶点包括白细胞介素(IL)-6、IL-1β、IL-10、丝氨酸/苏氨酸激酶1(AKT1)、Toll样受体4(TLR4)、肿瘤坏死因子(TNF)、NFKB抑制剂α(NFKBIA)、基质金属蛋白酶9(MMP9)等。GO功能富集分析结果显示,共同靶点涉及的分子功能包括细胞因子活性等,生物过程包括炎症反应等,细胞组分包括质膜外侧等。KEGG通路富集分析得到4条信号通路,分别为IL-17信号通路、酪氨酸蛋白激酶/信号转导与转录激活因子(JAK/STAT)信号通路、中性粒细胞胞外陷阱信号通路、补体和凝血级联信号通路。分子对接结果显示,除三七皂苷R1外,PNS治疗LN的主要活性化学成分与潜在核心靶点AKT1、IL-6、IL-1β、TNF具有良好的结合活性(结合能均<-4 kJ/mol)。结论 PNS的人参皂苷Rg1、三七皂苷R1、人参皂苷Re、人参皂苷Rb1、人参皂苷Rg3、人参皂苷Rh1等主要活性化学成分,可能通过IL-6、IL-1β、IL-10、AKT1、TLR4、TNF、NFKBIA、MMP9等潜在核心靶点,作用于IL-17信号通路、JAK/STAT信号通路、中性粒细胞胞外陷阱信号通路、补体和凝血级联信号通路等多条通路,起到治疗LN的作用。
ObjectiveTo explore the mechanism of Panax notoginseng injection for the treatment of lupus nephritis (LN) based on network pharmacology and molecular docking technique. MethodsThe active chemical components and their effect targets of main component Panax notoginseng saponins (PNS) from Panax notoginseng injection were searched by retrieving the Pharmacopoeia of the People′s Republic of China and multiple databases. Targets related to LN were screened through OMIM, GeneCards, and DrugBank databases for obtaining the common targets of the two. The Cytoscapes 3.8.2 software was used to establish "active components-targets" network of the common targets and their corresponding active chemical components, and to establish protein-protein interaction network of the common targets, as well as the main active chemical components and potential core targets of PNS for the treatment of LN were screened. The Gene Ontology (GO) functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the common targets. The molecular docking analysis was performed on the potential core targets and main active chemical components by using the AutoDock 1.5.7 software. ResultsA total of 11 active chemical components of PNS and 250 effect targets were obtained, and there were 1329 targets related to LN and 49 common targets of the two. The main active chemical components of PNS for treating LN included ginsenoside Rg1, notoginsenoside R1, ginsenoside Re, ginsenoside Rb1, etc., and potential core targets contained interleukin (IL)-6, IL-1β, IL-10, serine/threonine protein kinase 1 (AKT1), Toll-like receptor 4 (TLR4), tumor necrosis factor (TNF), NFKB inhibitor alpha (NFKBIA), and matrix metalloproteinase 9 (MMP9), etc. The results of GO functional enrichment analysis revealed that molecular functions involved in the common targets contained cytokine activity, etc., biological processes in the common targets included inflammatory responses, etc.,and cellular compositions involved in the common targets contained lateral plasmalemma, etc. The analysis of KEGG pathway enrichment indicated that 4 signaling pathways, involving IL-17 signaling pathway, tyrosine protein kinase/signal transducer and activator of transcription (JAK/STAT) signaling pathway, neutrophil extracellular trap signaling pathway, and complement and coagulation cascade signaling pathway, were obtained. The results of molecular docking interpreted that except for notoginsenoside R1, the main active chemical components of PNS for treating LN exerted favorable binding activities (all binding energy<-4 kJ/mol) with the potential core targets with respect to AKT1, IL-6, IL-1β, TNF. ConclusionGinsenoside Rg1, notoginsenoside R1, ginsenoside Re, ginsenoside Rb1, ginsenoside Rb3, ginsenoside Rh1, and other main active chemical components of PNS may act on multiple pathways such as IL-17 signaling pathway, JAK/STAT signaling pathway, neutrophil extracellular trap signaling pathway, and complement and coagulation cascade signaling pathway, so as to exert effects for treating LN through IL-6, IL-1β, IL-10, AKT1, TLR4, TNF, NFKBIA, MMP9, and other potential core targets.