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基于液相色谱-质谱联用分析和网络药理学预测血府逐瘀丸对术后认知功能障碍的质量标志物

Predicting Quality Markers of Xuefu Zhuyu Wan for Postoperative Cognitive Dysfunction Using Integrated LC-MS Analysis and Network Pharmacology.

作者信息

Guo Mingxin, Zeng Jiaqi, Xu Sang, Wu Xia, Hu Zhiqiang, Wang Xuping, Wang Liangliang

机构信息

The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, China.

New Drug Research and Development Center, Guangdong Pharmaceutical University, Guangzhou, China.

出版信息

Biomed Chromatogr. 2025 Aug;39(8):e70160. doi: 10.1002/bmc.70160.

Abstract

The study aims to analyze the chemical constituents of Xuefu Zhuyu Wan (XZW) based on LC-MS and explore the mechanism of XZW in treating postoperative cognitive dysfunction (POCD) through network pharmacology and identify its potential quality marker (Q-marker). The chemical components of XZW were analyzed by LC-MS, and the corresponding targets were predicted by SwissTargetPrediction. Then POCD targets were obtained by GeneCards, OMIM, PharmGKB, and TTD database, and the "components-targets" and protein-protein interaction (PPI) maps were drawn by Cytoscape 3.9.1. The visualization of GO and KEGG enrichment analysis was obtained by micro-information. Finally, the content of network pharmacology prediction was preliminarily verified by molecular docking. Eighteen compounds were identified in XZW using LC-MS. SwissTargetPrediction predicted 443 compound targets. Among these, there are 352 common targets between the drug and the disease. Using Cytoscape 3.9.1, the main active components were screened as inophyllum E, liquiritigenin, pyrethrin, albiflorin, isoliquiritigenin, prunasin, meranzin, ligustilide, isoglycyrol, and dibutylphenol. PPI analysis identified the top 10 core proteins as: glyceraldehyde-phosphate dehydrogenase (GAPDH), protein kinase B (AKT1), tumor necrosis factor (TNF), src protein (SRC), epidermal growth factor receptor (EGFR), caspase 3 (CASP3), estrogen receptor (ESR1), prostaglandin peroxidase synthase 2 (PTGS2), matrix metalloenzyme 9 (MMP9), and transcription factor (JUN). KEGG enrichment analysis revealed 166 pathways, including the neuroactive ligand-receptor interaction pathway. Molecular docking shows that the active components have a good affinity with the core targets. It is predicted that liquiritigenin, isoglycyrol, inophyllum, and albiflorin could serve as Q-marker for XZW in the treatment of POCD. The chemical constituents of XZW were obtained by preliminary analysis, and the possible pharmacodynamic substances and their mechanism in treating POCD were discussed. The Q-marker of XZW in treating POCD was predicted, which provided basis for its clinical application and drug development.

摘要

本研究旨在基于液相色谱-质谱联用(LC-MS)分析血府逐瘀丸(XZW)的化学成分,通过网络药理学探索XZW治疗术后认知功能障碍(POCD)的机制,并确定其潜在的质量标志物(Q-标志物)。采用LC-MS分析XZW的化学成分,通过瑞士靶点预测(SwissTargetPrediction)预测相应靶点。然后通过基因卡片(GeneCards)、在线人类孟德尔遗传数据库(OMIM)、药物基因组知识库(PharmGKB)和治疗靶点数据库(TTD)获取POCD靶点,并使用Cytoscape 3.9.1绘制“成分-靶点”和蛋白质-蛋白质相互作用(PPI)图谱。通过微信息获得基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析的可视化结果。最后,通过分子对接初步验证网络药理学预测的内容。利用LC-MS在XZW中鉴定出18种化合物。瑞士靶点预测预测出443个化合物靶点。其中,药物与疾病之间有352个共同靶点。使用Cytoscape 3.9.1筛选出主要活性成分,如异欧前胡素、甘草素、菊酯、芍药苷、异甘草素、苦杏仁苷、橙皮苷、藁本内酯、异甘草酚和二丁基苯酚。PPI分析确定前10个核心蛋白为:甘油醛-3-磷酸脱氢酶(GAPDH)、蛋白激酶B(AKT1)、肿瘤坏死因子(TNF)、src蛋白(SRC)、表皮生长因子受体(EGFR)、半胱天冬酶3(CASP3)、雌激素受体(ESR1)、前列腺素过氧化物酶合成酶2(PTGS2)、基质金属蛋白酶9(MMP9)和转录因子(JUN)。KEGG富集分析揭示了166条通路,包括神经活性配体-受体相互作用通路。分子对接表明活性成分与核心靶点具有良好的亲和力。预测甘草素、异甘草酚、异欧前胡素和芍药苷可作为XZW治疗POCD的Q-标志物。通过初步分析获得了XZW的化学成分,并探讨了其治疗POCD可能的药效物质及其机制。预测了XZW治疗POCD的Q-标志物,为其临床应用和药物研发提供了依据。

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