Wang Shuo, Guo Fei, Zhao Chen, Shi Gezi, Liu Jing, Yang Shichang
The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Xinxiang Key Laboratory of Traditional Chinese and Western Medicine in Diagnosis and Treatment for Mental and Neurological Diseases, Xinxiang, China.
Medicine (Baltimore). 2025 Jul 25;104(30):e43462. doi: 10.1097/MD.0000000000043462.
This study explores the potential targets and signaling pathways of the Li Qi Dao Tan Decoction (LQDTD) in the treatment of schizophrenia using network pharmacology and molecular docking technology. The traditional Chinese medicine systems pharmacology database and analysis platform database was searched to obtain the active ingredients and targets of the LQDTD. Databases such as GeneCards, DrugBank, and OMIM were searched for schizophrenia-related disease targets. By drawing a Venn diagram, the intersection targets of LQDTD and schizophrenia were obtained. The STRING database was used to construct the protein-protein interaction. The online tool of the DAVID database was used to analyze the gene ontology and Kyoto Encyclopedia of Genes and Genomes pathways of the intersection targets of LQDTD and schizophrenia. The Cytoscape software was employed to construct the network of traditional Chinese medicine ingredients, targets, and pathways. AutoDock, Chem3D, and PyMOL software facilitated molecular docking and the calculation of binding energy for the identified key active ingredients and targets, from which the 7 pairs with the lowest binding energy were selected. PyMOL was utilized for analysis and visualization. We identified 5 active ingredients of LQDTD: luteolin, nobiletin, baicalin, quercetin and licochalcone A. Key proteins, including signal transducer and activator of transcription 3, TP53, and EGFR, were identified through the protein-protein interaction map. Kyoto Encyclopedia of Genes and Genomes analysis indicated that the pathways involved primarily included lipid and atherosclerosis pathways, hepatitis B virus-related pathways, AGE-RAGE signaling pathways, Chemical carcinogenesis receptor activation, and prostate cancer signaling pathways. The treatment of schizophrenia may influence key proteins such as signal transducer and activator of transcription 3, TP53, and EGFR, intervening in lipid and atherosclerotic pathways, hepatitis B virus-related pathways, AGE-RAGE signaling pathways, chemical carcinogenesis receptor activation, and prostate cancer signaling pathways. However, the exact mechanisms of action require further experimental verification.
本研究运用网络药理学和分子对接技术,探索理气化痰汤(LQDTD)治疗精神分裂症的潜在靶点和信号通路。检索中药系统药理学数据库及分析平台数据库,获取LQDTD的活性成分和靶点。检索GeneCards、DrugBank和OMIM等数据库,获取精神分裂症相关疾病靶点。通过绘制韦恩图,得到LQDTD与精神分裂症的交集靶点。利用STRING数据库构建蛋白质-蛋白质相互作用网络。使用DAVID数据库的在线工具,分析LQDTD与精神分裂症交集靶点的基因本体和京都基因与基因组百科全书通路。运用Cytoscape软件构建中药成分、靶点和通路网络。AutoDock、Chem3D和PyMOL软件辅助分子对接,并计算已鉴定关键活性成分和靶点的结合能,从中选择结合能最低的7对。利用PyMOL进行分析和可视化。我们鉴定出LQDTD的5种活性成分:木犀草素、川陈皮素、黄芩苷、槲皮素和甘草查尔酮A。通过蛋白质-蛋白质相互作用图谱鉴定出关键蛋白,包括信号转导和转录激活因子3、TP53和表皮生长因子受体。京都基因与基因组百科全书分析表明,主要涉及的通路包括脂质与动脉粥样硬化通路、乙型肝炎病毒相关通路、晚期糖基化终末产物受体信号通路、化学致癌受体激活和前列腺癌信号通路。精神分裂症的治疗可能影响信号转导和转录激活因子3、TP53和表皮生长因子受体等关键蛋白,干预脂质与动脉粥样硬化通路、乙型肝炎病毒相关通路、晚期糖基化终末产物受体信号通路、化学致癌受体激活和前列腺癌信号通路。然而,确切的作用机制需要进一步的实验验证。