基于UHPLC Q-Exactive Plus Orbitrap HRMS和网络药理学研究银丹心脑通软胶囊“心脑同治”的活性成分和作用机制

    Study on the Active Ingredients and Mechanism of Action of Yindan Xinnaotong Soft Capsule for "Simultaneous Treatment of Heart and Brain Disorders" Based on UHPLC Q-Exactive Plus Orbitrap HRMS and Network Pharmacology

    • 摘要:
      目的 利用高分辨质谱鉴定银丹心脑通软胶囊的化学成分,与网络药理学研究结合,探讨银丹心脑通软胶囊“心脑同治”的活性成分及其潜在分子作用机制。
      方法 基于UHPLC Q-Exactive Plus Orbitrap HRMS鉴定出的银丹心脑通软胶囊化学成分;通过TCMSP和SwissADME数据库,以口服利用度≥30%、类药性≥0.18和胃肠道吸收得分为“High”、类药性至少通过3个“Yes”来筛选活性成分,再检索活性成分的潜在作用靶点;通过 OMIM、DisGeNET、GeneCards、TTD和PharmGKB数据库获取与心脑血管疾病相关靶基因。使用Venny软件获得两者的交集靶点,采用Cytoscape3.9.1分析软件结合STRING数据库对交集靶点进行蛋白互作网络分析和“药物-活性成分-靶点-疾病”网络构建,确定核心成分与靶点。利用DAVID数据库对银丹心脑通软胶囊治疗心脑血管疾病的潜在靶基因进行基因本体(GO)分析及京都基因与基因组百科全书富集分析(KEGG)预测其作用机制。最后将度值排名前5的靶点与主要活性成分进行分子对接模拟以验证网络药理学结果。
      结果 通过UHPLC Q-Exactive Plus Orbitrap HRMS技术鉴定出银丹心脑通软胶囊中82个化学成分,主要包括黄酮类、有机酸类、菲醌类和二萜内酯类化合物;经TCMSP、SwissADME数据库筛选得到活性成分34个,如槲皮素、异樱花亭、二氢丹参酮 I等,相对应的靶点389个,进一步筛选出治疗心脑血管疾病相关的潜在靶基因249个。GO和KEGG富集分析显示,银丹心脑通软胶囊的活性成分可能主要通过脂质与动脉粥样硬化通路、流体剪切应力与动脉粥样硬化、AGE-RAGE、IL-17、PI3K-Akt、HIF-1、TNF等通路来发挥治疗心脑血管疾病的作用。分子对接证实STAT3、HSP90AA1等与二氢丹参酮I、山柰酚、木犀草素等具有较高的亲和力。
      结论 本研究初步预测了银丹心脑通软胶囊“心脑同治”其作用机制与动脉粥样硬化、炎症因子、细胞凋亡和氧化应激等方面有关,为后续作用机制的深度分析及临床应用提供科学依据。

       

      Abstract:
      OBJECTIVE To identify the chemical composition of Yindan Xinnaotong soft capsules(YDXNT) using the technique high-resolution mass spectrometry, together with the network pharmacology approach to explore the active ingredients and potential molecular mechanism of YDXNT for "simultaneous treatment of heart and brain disorders".
      METHODS Drawing on the chemical composition of YDXNT as characterized by UHPLC Q-Exactive Plus Orbitrap HRMS, the active compounds were evaluated using the TCMSP and SwissADME databases. Compounds meeting the criteria for oral bioavailability≥30%, drug-likeness≥0.18, which got a “High” gastrointestinal absorption score, and the DL threshold with at least three “Yes” were selected. These active compounds were then subjected to potential target retrieval. Corresponding target genes linked to cardiovascular and cerebrovascular diseases were identified through comprehensive searches of the OMIM, DisGeNET, GeneCards, TTD and PharmGKB databases. The intersection targets of the two datasets between compounds and diseases were identified using Venny software. Subsequently, Cytoscape 3.9.1 and the STRING database were used for the analysis of the protein-protein interaction network and the construction of the "drug-active ingredient-target-disease" network, so as to pinpoint the core components and targets. Using the DAVID database, perform Gene Ontology(GO) analysis and Kyoto Encyclopedia of Genes and Genomes Enrichment Analysis(KEGG) to predict the potential target genes of YDXNT in the treatment of cardiovascular and cerebrovascular diseases and predicting its mechanism. Finally, molecular docking simulations of the top five targets with the main active compounds was performed to corroborate the findings of the network pharmacology analysis.
      RESULTS A total of 82 chemical components in YDXNT were identified, including flavonoids, organic acids, phenanthrene quinones, and diterpenoid lactones. Utilizing the TCMSP and SwissADME databases, thirty-four active compounds were selected, such as quercetin, isosakuratine, and dihydrotanshinone I, while obtaining 389 targets associated with these active compounds and 249 potential target genes relevant to cardiovascular and cerebrovascular disease treatment. GO and KEGG enrichment analyses indicated that active compounds of YDXNT primarily exert therapeutic effects on cardiovascular diseases through the regulation of pathways like lipid and atherosclerosis, fluid shear stress and atherosclerosis, AGE-RAGE, IL-17, PI3K-Akt, HIF-1, and TNF. Molecular docking results further confirmed the high affinity between STAT3 and HSP90AA1 with compounds such as dihydrotanshinone I, kaempferol, and lignocaine.
      CONCLUSION This study preliminarily suggests that the mechanism underlying YDXNT's “simultaneous treatment of heart and brain disorders” may be associated with such factors as atherosclerosis, inflammation, apoptosis, and oxidative stress. These findings provide a scientific foundation for further analysis of the mechanism and clinical application.

       

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