Li Ti, Guo Shupeng, Lu Meixi, Lu Fang, Lu Tianjiao, Zheng Chunze
Department of Encephalopathy, Harbin Traditional Chinese Medicine Hospital, Harbin, China.
Department of Pharmacy, Harbin Traditional Chinese Medicine Hospital, Harbin, China.
Front Pharmacol. 2022 Sep 27;13:923188. doi: 10.3389/fphar.2022.923188. eCollection 2022.
To study the mechanisms of the Hort.- L. herbal pair (LPHP) in the treatment of migraine using network pharmacology. The active constituents of LPHP and their targets were searched for and screened using the Chinese Medicine System Pharmacology Database. Genes related to migraine were searched on GeneCards, Online Mendelian Inheritance in Man and other databases. Cytoscape was used to construct and combine active component-target and disease-target networks. The core target was screened by network topology analysis, and the Metascape database was used for gene ontology analysis of key targets and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis to explore the molecular mechanisms in the treatment of migraine. A total of 28 active constituents of LPHP were obtained through database screening and literature review, and 60 cross-linking targets were obtained. The target sites were analysed using a protein-protein interaction network to obtain six target proteins with a greater degree of relevance. These were identified as the main targets for the treatment of hypertension, and these key targets were found to be associated with 20 signalling pathways, including neuroactive ligand-receptor interaction, the calcium signalling pathway, the cGMP-PKG signalling pathway, pathways in cancer and the cyclic adenosine 3',5'-cyclic monophosphate (cAMP) signalling pathway. This study reveals the molecular mechanism of LPHP in the treatment of migraine from the perspective of network pharmacology and provides a basis for further research and molecular mechanism research.
运用网络药理学研究羌活 - 藁本药对（LPHP）治疗偏头痛的作用机制。利用中药系统药理学数据库检索并筛选LPHP的活性成分及其靶点。在GeneCards、人类孟德尔遗传在线等数据库中检索与偏头痛相关的基因。使用Cytoscape构建并整合活性成分 - 靶点和疾病 - 靶点网络。通过网络拓扑分析筛选核心靶点，并利用Metascape数据库对关键靶点进行基因本体分析以及京都基因与基因组百科全书通路富集分析，以探究治疗偏头痛的分子机制。通过数据库筛选和文献回顾共获得LPHP的28种活性成分，得到60个交联靶点。利用蛋白质 - 蛋白质相互作用网络分析靶点位点，获得6个相关性较高的靶蛋白。这些被确定为治疗高血压的主要靶点，且发现这些关键靶点与20条信号通路相关，包括神经活性配体 - 受体相互作用、钙信号通路、环磷酸鸟苷 - 蛋白激酶G信号通路、癌症相关通路以及环磷腺苷（cAMP）信号通路。本研究从网络药理学角度揭示了LPHP治疗偏头痛的分子机制，为进一步研究及分子机制研究提供了依据。
