Exploring the Related Substances and Mechanisms of Weining San's Anti Gastric Ulcer Efficacy Based on Fingerprint and Network Pharmacology
10.13748/j.cnki.issn1007-7693.20232446
- VernacularTitle:基于指纹图谱及网络药理学探究胃宁散抗胃溃疡药效关联物质及作用机制
- Author:
Tong ZHOU
1
;
Yiyao LIANG
1
;
Ying XIE
1
;
Xuerong SU
1
;
Yangqian WU
1
;
Yi WAN
1
;
Jinguo XU
1
;
Xiaoli ZHAO
1
;
Chao WANG
2
Author Information
1. School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
2. Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
- Publication Type:Journal Article
- Keywords:
Weining San； fingerprint ；network pharmacology；gastric ulcer
- From:
Chinese Journal of Modern Applied Pharmacy
2024;41(7):895-905
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE :To explore the pharmacodynamic related substances and mechanism of Weining San(WNS) against gastric ulcer(GU) according to fingerprint and network pharmacology.
METHODS
Twelve batches of WNS fingerprints were established by HPLC, and methodological investigation was carried out. Combined with reference substances, characteristic peaks were identified, pharmacodynamic related substances were screened, and network pharmacological analysis was carried out. Using TCMIP and Swiss Target Prediction database to retrieve component targets; Using OMIM, GeneCards and Drugbank databases to retrieve GU disease targets, taking the intersection targets of components and diseases, using String database to construct protein-protein interaction network diagram, and analyzing topological parameters; Using Cytoscape 3.8.2 software to construct "component-disease-target" network diagram; GO and KEGG enrichment analysis of intersection targets were carried out by Metascape website. Then the alcoholic GU mouse model was established by intragastric administration of absolute ethanol to verify the results of network pharmacology prediction. RESUITS The precision, stability and repeatability of HPLC fingerprint method were good. By comparison and comprehensive analysis of control substances, notoginsenoside R1, ginsenoside Rg1, militarine, ginsenoside Rb1, schisandrin, schisandrol B, deoxyschizandrin and schisantherin A were identified as pharmacodynamic related substances in WNS, which may play their role by regulating core targets such as AKT1, IL-6, STAT3, TNF, IL1B and key signal pathways such as PI3K-Akt and JAK-STAT. The gastric ulcer index, ulcer inhibition rate and HE staining showed that WNS could improve gastric mucosal injury in GU mice. The results of ELISA, WST-1 and TBA showed that WNS could decrease the levels of TNF-α, IL-6, IL-1β and MDA, and increase the levels of SOD and PGE2, suggesting that the anti-GU effect of WNS was related to the inhibition of inflammatory reaction and oxidative stress mechanism, which further verified the prediction of network pharmacology.
CONCLUSION
This study combines fingerprint analysis, network pharmacology, and animal experimental validation to explore the pharmacodynamic related substances and mechanisms of WNS anti-GU efficacy, providing reference for quality control and clinical research of WNS.
