基于指纹图谱和网络药理学的连翘质量标志物预测分析
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篇名: 基于指纹图谱和网络药理学的连翘质量标志物预测分析
TITLE: Predictive analysis of quality markers of Forsythia suspensa based on fingerprint and network pharmacology
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析,构建“连翘Q-Marker候选成分-靶点-通路”网络,并预测连翘的Q-marker。结果与结论10批连翘药材共得到21个共有峰,指认了连翘苷、连翘酯苷A、松脂素-β-D-葡萄糖苷、芦丁4个成分;经GC-MS分析后得到连翘挥发油中β-蒎烯、α-蒎烯、松油烯-4-醇、柠檬烯、γ-松油烯、α-水芹烯、β-月桂烯7个Q-Marker候选成分;进一步经网络药理学分析共得到16个关键靶点和17条通路,初步预测连翘苷、连翘酯苷A、松脂素-β-D-葡萄糖苷、芦丁、松油烯-4-醇、α-水芹烯、α-蒎烯、β-蒎烯为连翘的Q-marker。
ABSTRACT: OBJ ECTIVE 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 .
期刊: 2022年第33卷第03期
作者: 景奉堂,冯帅,王静,吕绪桢,张天屹,张天锡,李峰
AUTHORS: JING Fengtang ,FENG Shuai,WANG Jing,LYU Xuzhen ,ZHANG Tianyi ,ZHANG Tianxi ,LI Feng
关键字: 连翘;质量标志物;指纹图谱;网络药理学
KEYWORDS: Forsythia suspensa ;quality marker ;fingerprint;network pharmacology
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