Tan Yu-Qing, Jin Min, He Xuan-Hui, Chen Heng-Wen
Department of Pharmacy, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Front Pharmacol. 2022 Oct 20;13:1025540. doi: 10.3389/fphar.2022.1025540. eCollection 2022.
Network pharmacology provides new methods and references for the research of traditional Chinese medicine, but some problems remain, such as single evaluation components and index methods, imperfect relevant databases, unscientific prediction results, and lack of verification of results. Herein, we used a modified network pharmacology research method to explore the potential network analysis mechanism of Huoxue Qingre decoction in the treatment of coronary heart disease and utilized clinical trials for assessment. Based on literature research, the targets corresponding to the drug were obtained with the assistance of the TCMSP database and Swiss Target Prediction, and the target proteins were corrected using the UniProt database. The targets related to coronary heart disease was obtained through the GeneCards database. A protein-protein interaction network diagram was constructed, and a "component-intersection target" network diagram was drawn based on Cytoscape 3.6.2 software. The mapped targets were imported into the DAVID bioinformatics platform, which underwent Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and the network pharmacology prediction results were evaluated through clinical trials. We obtained 151 compounds related to Huoxue Qingre decoction, 286 genes after evaluation and deduplication, and 426 genes related to coronary heart disease. Finally, 81 common target genes were obtained with 32 pathways according to the KEGG pathway enrichment analysis. The validation results of the clinical trials showed that a total of 98 differential metabolites were found in the treatment of coronary heart disease with Huoxue Qingre decoction, involving a total of 16 metabolic pathways. Compared with the network pharmacology prediction results, it was found that only the pathways in cancer (hsa05200) were the common pathways in the top 32 signaling pathways predicted by network pharmacology. The expanded network pharmacology prediction results revealed that the sphingolipid signaling pathway (hsa04071) and prostate cancer pathway (hsa05215) matched the predicted metabolic pathways, with differential metabolites of N-oleoyl-D-sphingomyelin and 1-methyl-6-phenyl-1h-imidazole[4,5-b]pyridine-2-amine. Through the network analysis and metabolomic evaluation, there may be three signaling pathways that involve the Huoxue Qingre decoction in the treatment of coronary heart disease: pathways in cancer (hsa05200), sphingolipid signaling pathway (hsa04071), and prostate cancer pathway (hsa05215).
网络药理学为中药研究提供了新的方法和参考,但仍存在一些问题,如评价成分和指标方法单一、相关数据库不完善、预测结果不科学以及结果缺乏验证等。在此,我们采用改进的网络药理学研究方法,探讨活血清热方治疗冠心病的潜在网络分析机制,并利用临床试验进行评估。通过文献研究,借助中药系统药理学数据库与分析平台(TCMSP)和瑞士靶点预测工具获取药物对应的靶点,并使用通用蛋白质数据库(UniProt)对靶点蛋白进行校正。通过基因卡片数据库(GeneCards)获取与冠心病相关的靶点。构建蛋白质 - 蛋白质相互作用网络图,并基于Cytoscape 3.6.2软件绘制“成分 - 交集靶点”网络图。将映射的靶点导入DAVID生物信息学平台,进行基因本体论(GO)功能和京都基因与基因组百科全书(KEGG)通路富集分析,并通过临床试验评估网络药理学预测结果。我们获得了与活血清热方相关的151种化合物,经评估和去重后得到286个基因,以及与冠心病相关的426个基因。最终,根据KEGG通路富集分析获得81个共同靶点基因和32条通路。临床试验验证结果表明,活血清热方治疗冠心病共发现98种差异代谢物,涉及16条代谢通路。与网络药理学预测结果相比,发现仅癌症通路(hsa05200)是网络药理学预测的前32条信号通路中的共同通路。扩展后的网络药理学预测结果显示,鞘脂信号通路(hsa04071)和前列腺癌通路(hsa05215)与预测的代谢通路匹配,差异代谢物为N - 油酰 - D - 鞘磷脂和1 - 甲基 - 6 - 苯基 - 1H - 咪唑[4,5 - b]吡啶 - 2 - 胺。通过网络分析和代谢组学评估,活血清热方治疗冠心病可能涉及三条信号通路:癌症通路(hsa05200)、鞘脂信号通路(hsa04071)和前列腺癌通路(hsa05215)。