| 引用本文: | 李航飞,朱志军,李明明,王婉怡.基于指纹图谱和网络药理学预测经典名方温胆汤中枳实的质量标志物[J].中国现代应用药学,2023,40(16):2216-2223. |
| LI Hangfei,ZHU Zhijun,LI Mingming,WANG Wanyi.Q-Marker Pediction Analysis of Aurantii Fructus Immaturus in Famous Classical Formula Wendan Decoction Based on Fingerprint and Network Pharmacology[J].Chin J Mod Appl Pharm(中国现代应用药学),2023,40(16):2216-2223. |
|
| 摘要: |
| 目的 基于指纹图谱和网络药理学预测经典名方温胆汤(Wendan decoction，WDD)中药材枳实的质量标志物(Q-Marker)。方法 建立枳实药材和WDD基准样品的指纹图谱，使用中药色谱指纹图谱相似度评价软件(2012年A版)进行相似度分析和共有成分指认；采用网络药理学筛选共有成分的相关靶点和关键通路，并建立成分-靶点-通路网络，预测枳实发挥祛痰止呕，清胆和胃功效潜在的Q-Marker，并测定其含量。结果 建立了15批枳实药材和15批WDD基准样品的指纹图谱，15批枳实药材和WDD基准样品指纹图谱相似度>0.9，指认出5个化学成分，分别为柚皮苷、橙皮苷、新橙皮苷、川陈皮素、桔皮素；网络药理学筛选分析得到5个化合物的TP53、MAPK8、EGFR、JUN、MMP9等32个核心靶点和癌症通路、内分泌抵抗通路等10条关键通路，构建了“成分-靶点-通路”网络图，预测柚皮苷、橙皮苷、新橙皮苷、川陈皮素、桔皮素为WDD中枳实的Q-Marker。WDD中柚皮苷、橙皮苷、新橙皮苷、川陈皮素、桔皮素的含量≥0.011 7%，0.025 3%，0.025 7%，0.010 4%，0.010 7%。结论 WDD中枳实的Q-Marker预测分析为建立完整的WDD质量评价体系提供参考，也为阐明其药效物质基础的作用机制奠定了基础。 |
| 关键词: 温胆汤 枳实 指纹图谱 网络药理学 质量标志物 |
| DOI：10.13748/j.cnki.issn1007-7693.20222713 |
| 分类号:R285.5 |
| 基金项目: |
|
| Q-Marker Pediction Analysis of Aurantii Fructus Immaturus in Famous Classical Formula Wendan Decoction Based on Fingerprint and Network Pharmacology |
|
LI Hangfei, ZHU Zhijun, LI Mingming, WANG Wanyi
|
|
Henan University of Chinese Medicine, Zhengzhou 450046, China
|
| Abstract: |
| OBJECTIVE To predict the quality marker(Q-Marker) of Aurantii Fructus Immaturus in Wendan decoction (WDD) based on fingerprint and network pharmacology. METHODS Establish the fingerprint of Aurantii Fructus Immaturus and WDD reference samples, use Chinese Medicine Chromatographic Fingerprint Similarity Evaluation Software(2012A Edition)for similarity analysis and common component identification; use network pharmacology to screen the related targets and key pathways of common components, and establish the composition-target-pathway network. Predict the potential Q-marker of expectorant stop vomiting, clear gallbladder and stomach of Aurantii Fructus Immaturus in WDD, and determine its content. RESULTS The fingerprints of 15 batches of Aurantii Fructus Immaturus and 15 batches of WDD reference samples were established, and the similarity of fingerprints between 15 batches of Aurantii Fructus Immaturus and WDD reference sample >0.9. Five chemical components were identified, which were naringin, hesperidin, neohesperidin, nobiletin and tangerine. Network pharmacologic screen analysis to getTP53, MAPK8, EGFR, JUN, MMP9 and other 32 core targets of the five compounds and Endocrine resistance, pathways in cancer, and 10 other key pathways. Construct the "component-target-pathway" network diagram. It was predicted that naringin, hesperidin, neohesperidin, nobiletin and tangerine were Q-markers of Aurantii Fructus Immaturus in WDD. The contents of naringin, hesperidin, neohesperidin, nobiletin, tangerine in WDD were not less than 0.011 7%, 0.025 3%, 0.025 7%, 0.010 4%, 0.010 7%. CONCLUSION Q-Marker prediction analysis of Aurantii Fructus Immaturus in WDD provides a reference for establishing a complete WDD quality evaluation system, and also lays a foundation for elucidating the mechanism of its pharmacodynamic material basis. |
| Key words: Wendan decoction Aurantii Fructus Immaturus fingerprint network pharmacology quality marker |
