Predictive analysis of quality markers of Forsythia suspensa based on fingerprint and network pharmacology / 中国药房
China Pharmacy
; (12): 293-298, 2022.
Article
in Zh
| WPRIM
| ID: wpr-913086
Responsible library:
WPRO
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 .
Full text:
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Index:
WPRIM
Type of study:
Prognostic_studies
Language:
Zh
Journal:
China Pharmacy
Year:
2022
Type:
Article