| 引用本文: | 李翱翔,岳颀宇,阮翔天,崔文艳,毛乐斌,喻晓雁,吴玲玲,陈宏降,罗益远.基于指纹图谱和网络药理学的乌药质量标志物预测分析[J].中国现代应用药学,2023,40(11):1499-1505. |
| LI Aoxiang,YUE Qiyu,RUAN Xiangtian,CUI Wenyan,MAO Lebin,YU Xiaoyan,WU Lingling,CHEN Hongjiang,LUO Yiyuan.Predictive Analysis of Quality Markers of Linderae Radix Based on Fingerprint and Network Pharmacology[J].Chin J Mod Appl Pharm(中国现代应用药学),2023,40(11):1499-1505. |
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| 基于指纹图谱和网络药理学的乌药质量标志物预测分析 |
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李翱翔1,2, 岳颀宇1, 阮翔天1, 崔文艳3, 毛乐斌1, 喻晓雁1, 吴玲玲1, 陈宏降1, 罗益远1
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1.浙江药科职业大学, 浙江 宁波 315500;2.浙江中医药大学, 杭州 310053;3.青岛市中心医疗集团, 山东 青岛 266042
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| 摘要: |
| 目的 基于指纹图谱和网络药理学分析乌药中潜在的质量标志物(quality marker，Q-Marker)。方法 运用HPLC建立乌药指纹图谱，确认共有峰并进行指认，再运用网络药理学方法构建“活性成分-靶点-通路”网络，预测Q-Marker。结果 建立了15批乌药药材指纹图谱，确认了20个共有峰，通过对照品指认4个色谱峰，分别为去甲异波尔定、乌药醚内酯、乌药内酯、乌药醇；经网络药理学确认以上4种成分为活性成分，可作用于10个核心靶点、20条关键通路发挥抗炎、镇痛作用。初步预测去甲异波尔定、乌药醚内酯、乌药内酯、乌药醇为乌药潜在的Q-Markers。结论 乌药Q-Marker预测分析为药材质量评价提供参考，为阐明其药效物质基础的作用机制奠定基础。 |
| 关键词: 乌药 质量标志物 指纹图谱 网络药理学 |
| DOI：10.13748/j.cnki.issn1007-7693.20222608 |
| 分类号:R284.1 |
| 基金项目:浙江省公益基础研究项目(LGN21H280003)；浙江省药品监督管理局科技计划项目(2022009)；浙江省教育厅一般项目(Y202250217) |
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| Predictive Analysis of Quality Markers of Linderae Radix Based on Fingerprint and Network Pharmacology |
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LI Aoxiang1,2, YUE Qiyu1, RUAN Xiangtian1, CUI Wenyan3, MAO Lebin1, YU Xiaoyan1, WU Lingling1, CHEN Hongjiang1, LUO Yiyuan1
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1.Zhejiang Pharmaceutical College, Ningbo 315500, China;2.Zhejiang Chinese Medical University, Hangzhou 310053, China;3.Qingdao Central Medical Group, Qingdao 266042, China
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| Abstract: |
| OBJECTIVE To predict potential quality marker(Q-Marker) of Linderae Radix based on fingerprint detection and network pharmacology analysis. METHODS Fingerprint of Linderae Radix was established by HPLC, common peaks were confirmed and identified. The “active-component-target-pathway” network was constructed by network pharmacology method and predicted the Q-Marker. RESULTS Fingerprints of 15 batches of Linderae Radix were established, 20 common peaks were identified, and 4 peaks(norisoboldine, linderane, linderalactone, lindenenol) were identified by reference substances. According to network pharmacology, above four components were identified as active components of Linderae Radix, which showed anti-inflammatory and analgesia effects through acting on 10 core targets and 20 key pathways. Norisoboldine, linderane, linderalactone, lindenenol were preliminarily predicted as potential Q-Marker of Linderae Radix.CONCLUSION The Q-Marker of Linderae Radix can provide references for quality evaluation of medicinal materials and lay a foundation for elucidation of action mechanism of pharmacodynamic substance basis. |
| Key words: Linderae Radix quality marker fingerprint network pharmacology |
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