| 基于指纹图谱和网络药理学的连翘质量标志物预测分析 |
| |
| 引用本文： | 景奉堂,冯帅,王静,吕绪桢,张天屹,张天锡,李峰.基于指纹图谱和网络药理学的连翘质量标志物预测分析[J].中国药房,2022(3):293-298,307. |
| |
| 作者姓名： | 景奉堂 冯帅 王静 吕绪桢 张天屹 张天锡 李峰 |
| |
| 作者单位： | 山东中医药大学药学院;山东省高校中药质量控制与全产业链建设协同创新中心;东营市东营区市场监督管理局 |
| |
| 基金项目： | 国家科技重大专项“重大新药创制”项目(No.2017ZX09301058);山东省中医药科技项目(No.2021Q073);山东省高校中药质量控制与全产业链建设协同创新中心项目(No.CYLXTCX2020-09)。 |
| |
| 摘 要： | 目的 预测连翘的质量标志物(Q-Marker).方法 采用高效液相色谱法建立10批连翘药材的指纹图谱,并进行共有峰指认,筛选连翘药材中的Q-Marker候选成分;采用气相色谱-质谱联用技术(GC-MS)对连翘挥发油成分进行分析,筛选挥发油中的Q-Marker候选成分;然后将筛选的Q-Marker候选成分进行网络药理学分...
|
| 关 键 词： | 连翘 质量标志物 指纹图谱 网络药理学 |
Predictive analysis of quality markers of Forsythia suspensa based on fingerprint and network pharmacology |
| |
| JING Fengtang,FENG Shuai,WANG Jing,LYU Xuzhen,ZHANG Tianyi,ZHANG Tianxi,LI Feng.Predictive analysis of quality markers of Forsythia suspensa based on fingerprint and network pharmacology[J].China Pharmacy,2022(3):293-298,307. |
| |
| Authors: | JING Fengtang FENG Shuai WANG Jing LYU Xuzhen ZHANG Tianyi ZHANG Tianxi LI Feng |
| |
| Institution: | (School of Pharmacy,Shandong University of Traditional Chinese Medicine,Jinan 250355,China;Collaborative Innovation Center for Quality Control and Construction of Whole Industrial Chain for Traditional Chinese Medicine in Universities of Shandong Province,Jinan 250355,China;Dongying District Market Supervision and Administration Bureau in Dongying City,Shandong Dongying 257000,China) |
| |
| Abstract: | OBJECTIVE To predict the quality marker(Q-Marker)of Forsythia suspensa. METHODS The fingerprints of 10 batches of F. suspensa were established by high performance liquid chromatography. The common peaks were confirmed. The candidate components of Q-Marker in F. suspensa were screened. The volatile oil of F. suspensa were analyzed by gas chromatography-mass spectrometry(GC-MS),and the candidate components of Q-Marker in volatile oil were screened. The network pharmacology analysis was performed for the candidate components of Q-Marker. The network diagram of the“candidate components of F. suspensa Q-Marker-target-pathway”was constructed to predict the Q-marker of F. suspensa. RESULTS &CONCLUSIONS Twenty-one common peaks were obtained for 10 batches of F. suspensa,and four components were identified as phillyrin, forsythoside A, pinoresinol-4-O-β-D-glucoside and rutin. Seven candidate components were obtained by GC-MS analysis,such as β-pinene,α-pinene,terpinen-4-ol,limonene,γ-terpinene,α-phellandrene,β-myrcene. By network pharmacology analysis, 16 key targets and 17 pathways were obtained. It was preliminarily predicted that phillyrin, forsythoside A,pinoresinol-4-O-β-D-glucoside,rutin,terpinen-4-ol,α-phellandrene,α-pinene and β-pinene were Q-marker of F. suspensa. |
| |
| Keywords: | Forsythia suspensa quality marker fingerprint network pharmacology |
| 本文献已被 维普 等数据库收录！ |
|
