Chu YunHang, Pang BingYao, Yang Ming, Wang Song, Meng Qi, Gong HongChi, Kong YuDong, Leng Yan
College of Traditional Chinese Medicine, Changchun University of Traditional Chinese Medicine, Changchun, China.
Department of Hepatology, The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, China.
Heliyon. 2024 Jul 26;10(15):e35309. doi: 10.1016/j.heliyon.2024.e35309. eCollection 2024 Aug 15.
Danzhixiaoyao pills (DXP) is a traditional Chinese medicine formula that has been effectively used in clinical practice to treat depression and metabolic associated fatty liver disease (MAFLD), but its therapeutic mechanism is not yet clear. The purpose of this study is to explore the possible mechanisms of DXP in treating depression and MAFLD using network pharmacology and molecular docking techniques based on existing literature reports.
By combining TCMSP, Swiss ADME, Swiss TargetPrediction, and UniProt databases, the active ingredients and potential targets of DXP were screened and obtained. By searching for relevant disease targets through Gene Cards, OMIM, and TTD databases, intersection targets between drugs and diseases were obtained. The network of "Disease - Potential targets - Active ingredients - Traditional Chinese medicine - Prescriptions" was constructed using Cytoscape 3.9.1 software, and the PPI network was constructed using STRING 12.0 database. The core targets were obtained through topology analysis. GO function enrichment and KEGG pathway enrichment analysis were conducted based on DAVID. The above results were validated by molecular docking using PyMol 2.5 and AutoDock Tool 1.5.7 software, and their possible therapeutic mechanisms were discussed.
Network pharmacology analysis obtained 130 main active ingredients of drugs, 173 intersection targets between drugs and diseases, and 37 core targets. Enrichment analysis obtained 1390 GO functional enrichment results, of which 922 were related to biological process, 107 were related to cellular component, 174 were related to molecular function, and obtained 180 KEGG pathways. Molecular docking has confirmed the good binding ability between relevant components and targets, and the literature discussion has preliminarily verified the above results.
DXP can act on targets such as TNF, AKT1, ALB, IL1B, TP53 through active ingredients such as kaempferol, quercetin, naringenin, isorhamnetin, glyuranolide, etc, and by regulating signaling pathways such as pathways in cancer, MAPK signaling pathway, lipid and atherosclerosis, to exert its effect of "homotherapy for heteropathy" on depression and MAFLD. In addition, glyuranolide showed the strongest affinity with TNF (-7.88 kcal/mol), suggesting that it may play a key role in the treatment process. The research results provide a theoretical basis for elucidating the scientific connotation and mechanism of action of traditional Chinese medicine compound DXP, and provide new directions for its clinical application.
丹栀逍遥丸(DXP)是一种传统中药方剂,在临床实践中已被有效用于治疗抑郁症和代谢相关脂肪性肝病(MAFLD),但其治疗机制尚不清楚。本研究的目的是基于现有文献报道,运用网络药理学和分子对接技术探索丹栀逍遥丸治疗抑郁症和MAFLD的可能机制。
通过整合中药系统药理学数据库与分析平台(TCMSP)、瑞士药物代谢和药代动力学数据库(Swiss ADME)、瑞士靶点预测数据库(Swiss TargetPrediction)和通用蛋白质数据库(UniProt),筛选并获取丹栀逍遥丸的活性成分和潜在靶点。通过基因卡片(Gene Cards)、在线人类孟德尔遗传数据库(OMIM)和治疗靶点数据库(TTD)搜索相关疾病靶点,获得药物与疾病之间的交集靶点。使用Cytoscape 3.9.1软件构建“疾病-潜在靶点-活性成分-中药-方剂”网络,并使用STRING 12.0数据库构建蛋白质-蛋白质相互作用(PPI)网络。通过拓扑分析获得核心靶点。基于DAVID进行基因本体(GO)功能富集和京都基因与基因组百科全书(KEGG)通路富集分析。使用PyMol 2.5和AutoDock Tool 1.5.7软件通过分子对接对上述结果进行验证,并探讨其可能的治疗机制。
网络药理学分析获得130种药物主要活性成分、173个药物与疾病之间的交集靶点以及37个核心靶点。富集分析获得1390个GO功能富集结果,其中922个与生物过程相关,107个与细胞成分相关,174个与分子功能相关,并获得180条KEGG通路。分子对接已证实相关成分与靶点之间具有良好的结合能力,文献讨论初步验证了上述结果。
丹栀逍遥丸可通过山奈酚、槲皮素、柚皮素、异鼠李素、甘草酸苷等活性成分作用于肿瘤坏死因子(TNF)、蛋白激酶B1(AKT1)、白蛋白(ALB)、白细胞介素1β(IL1B)、肿瘤蛋白p53(TP53)等靶点,并通过调节癌症通路、丝裂原活化蛋白激酶(MAPK)信号通路、脂质与动脉粥样硬化等信号通路,对抑郁症和MAFLD发挥“异病同治”的作用。此外,甘草酸苷与TNF显示出最强的亲和力(-7.88千卡/摩尔),表明其可能在治疗过程中起关键作用。研究结果为阐明中药复方丹栀逍遥丸的科学内涵和作用机制提供了理论依据,并为其临床应用提供了新的方向。