Prediction and Analysis of Quality Markers of Gongliuning Capsule Based on Fingerprint,Network Pharmacology and Content Determination
10.19879/j.cnki.1005-5304.202408419
- VernacularTitle:基于指纹图谱、网络药理学及含量测定的宫瘤宁胶囊质量标志物预测分析
- Author:
Nannan BA
1
;
Zibin LI
;
Xujiang ZHU
;
Zhaohui GUO
;
Ke ZHOU
Author Information
1. 甘肃中医药大学药学院,甘肃 兰州 730000
- Publication Type:Journal Article
- Keywords:
Gongliuning capsule;
fingerprint;
network pharmacology;
content determination;
quality marker
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2025;32(2):120-128
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish the UPLC fingerprint of 10 batches of Gongliuning capsule and the content determination methods of 10 main components;To conduct network pharmacological research;To provide scientific basis for predicting the quality marker of Gongliuning capsule.Methods UPLC-DAD technique was used to establish the fingerprint of different batches of Gongliuning capsule samples and obtain the complete chemical composition information of Gongliuning capsule.With the help of network pharmacological research techniques,the target of chemical components of Gongliuning capsule and related pathways screened from various databases were predicted and analyzed,and the protein interaction network and composition-target-pathway diagram were constructed to predict the effective components of Gongliuning capsule.Based on the obtained pharmacodynamic substances,the content determination method of Gongliuning capsule was established to evaluate the quality of Gongliuning capsule.Results The fingerprints of Gongliuning capsule identified 17 common peaks.Combined with network pharmacology method,the candidate chemical components were analyzed,10 core targets and 42 metabolic pathways were obtained.Based on the testability of components and the availability of reference substances,10 compounds with high contribution were selected for content determination.Methodological verification results showed that all the 10 compounds had good linear relationship(r2>0.999 4)in the detection range,with good precision,accuracy and stability.Conclusion The established UPLC fingerprint,network pharmacology and multiple component content determination methods are highly specific,accurate and reliable.Combined with chemical pattern recognition,they can be effectively used for quality control and quality marker prediction of Gongliuning capsules.
