| 引用本文: | 杨亦柳,于倩,肖凤琴,刘晖,李佳,严铭铭,李光哲.基于网络药理学和化学计量学方法预测桔梗的质量标志物[J].中国现代应用药学,2023,40(13):1785-1794. |
| YANG Yiliu,YU Qian,XIAO Fengqin,LIU Hui,LI Jia,YAN Mingming,LI Guangzhe.Prediction of Platycodonis Radix Quality Marker Based on Network Pharmacology and Chemometrics Methods[J].Chin J Mod Appl Pharm(中国现代应用药学),2023,40(13):1785-1794. |
|
| |
|
|
| 本文已被：浏览 910次 下载 360次 |
码上扫一扫！ |
|
|
| 基于网络药理学和化学计量学方法预测桔梗的质量标志物 |
|
杨亦柳1, 于倩1, 肖凤琴1, 刘晖1, 李佳1, 严铭铭1,2, 李光哲1
|
|
1.长春中医药大学, 长春 130117;2.吉林省中药保健食品科技创新中心, 长春 130117
|
|
| 摘要: |
| 目的 基于中药质量标志物(quality marker,Q-marker)理论的有效性和可测性对桔梗饮片Q-marker进行初步预测分析。方法 建立20批桔梗样品的指纹图谱,进行相似度评价,同时通过网络药理学构建"成分‒靶点‒通路"网络图,预测桔梗药材的潜在活性成分。运用主成分分析法、正交偏最小二乘判别分析等数理分析方法筛选差异性成分,并对候选成分进行含量测定。结果 建立的指纹图谱有19个共有峰,指认了8个共有成分作为候选活性成分,进行网络药理学分析。网络药理学筛选出6个联接度较高的化合物,基于Q-marker溯源及传递性、特有性、有效性、可测性等方面综合考虑,初步预测了木犀草素、紫丁香苷、绿原酸、桔梗皂苷D、桔梗皂苷D3和桔梗皂苷E作为桔梗潜在Q-marker。结论 桔梗Q-marker预测分析为桔梗药材质量的全面控制提供参考,同时也为桔梗药效关联物质基础及作用机制的研究和探索奠定基础。 |
| 关键词: 桔梗 网络药理学 指纹图谱 含量测定 质量标志物 |
| DOI：10.13748/j.cnki.issn1007-7693.20222301 |
| 分类号:R285.5 |
| 基金项目:吉林省科技发展计划项目(20210401096YY)；长春市重点研发计划项目(21ZGY15) |
|
| Prediction of Platycodonis Radix Quality Marker Based on Network Pharmacology and Chemometrics Methods |
|
YANG Yiliu1, YU Qian1, XIAO Fengqin1, LIU Hui1, LI Jia1, YAN Mingming1,2, LI Guangzhe1
|
|
1.Changchun University of Chinese Medicine, Changchun 130117, China;2.Jilin Provincial Science & Technology Innovation Center of Health Food of Chinese Medicine, Changchun 130117, China
|
| Abstract: |
| OBJECTIVE To preliminary predict and analyze the quality marker(Q-markers)of Platycodonis Radix decoction based on the validity and measurability of traditional Chinese medicine Q-marker. METHODS The fingerprints of 20 batches of Platycodonis Radix samples were established, and the similarity was evaluated. At the same time, a "component-target-pathway" network diagram was constructed through network pharmacology to predict the potential active components of Platycodonis Radix. Mathematical analysis methods such as principal component analysis and orthogonal partial least-squares discrimination analysis were used to screen differential components; the content of candidate components were determined. RESULTS There were 19 common peaks in the established fingerprint, and 8 common components were identified as candidate active components for network pharmacology analysis. Network pharmacology indicated that 6 compounds were screened out with a high degree of connectivity. Based on the comprehensive consideration of Q-marker principle:traceability and transmissibility, specificity, efficacy, and measurability, luteolin, syringin, chlorogen acid, platycoside D, platycoside D3 and platycoside E were preliminarily predicted as potential Q-markers of platycodon. CONCLUSION The prediction analysis of Platycodonis Radix Q-marker provides a reference for the comprehensive control of the quality of Platycodonis Radix medicinal materials, and also lays a foundation for the research and exploration of the substance basis and mechanism of action of Platycodonis Radix. |
| Key words: Platycodonis Radix network pharmacology fingerprint content determination quality markers |
|
|
|
|
