Network pharmacology analysis on Panacis Quinquefolii Radix- Acori Tatarinowii Rhizoma for diabetes encephalopathy and experimental verification of its anti-inflammatory mechanism
10.3760/cma.j.cn115398-20230222-00345
- VernacularTitle:西洋参-石菖蒲治疗糖尿病脑病的网络药理学研究及其抗炎机制实验验证
- Author:
Lin LIU
1
;
Jiaojiao ZHANG
;
Dongxue WANG
;
Jingfei KANG
;
Kai WANG
;
Yang YANG
Author Information
1. 哈尔滨商业大学药学院，哈尔滨 150076
- Keywords:
Panacis Quinquefolii Radix;
Acori Tatarinowii Rhizoma;
Diabetic encephalopathy;
Inflammation;
Network pharmacology;
Molecular docking simulation
- From:
International Journal of Traditional Chinese Medicine
2024;46(1):56-62
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To predict the mechanism of Panacis Quinquefolii Radix- Acori Tatarinowii Rhizoma (PQ-AT) in the treatment of diabetes encephalopathy (DE) using network pharmacology combined with molecular docking; To conduct experimental verification.Methods:The active components and targets of PQ and AT were screened by TCMSP database. The GeneCards and Disgenet were used to collect DE related target genes. String database and Cytoscape software were used to structure PPI network and perform visualization analysis. The common targets were imported into Metascape platform for GO annotation and KEGG enrichment analysis. Molecular docking was used to verify the binding ability of active components to core targets. Rats were randomly divided into a blank group, a model group, and a low-dose group of PQ-AT (1.08 g/kg), a high-dose group of PQ-AT (2.16 g/kg), and a metformin group (0.18 g/kg) using a random number table. To establish the rat model of diabetes encephalopathy, intraperitoneal injection of streptozotocin was used in addition to the blank group. After a 12-week drug intervention, TNF-α and Cyclooxygenase-2 (PTGS2) protein expression in the cerebral cortex of rats was detected using Western blot.Results:A total of 26 active components in PQ-AT and 107 related targets of DE were obtained, mainly including TNF, JUN, and PTSG2, which were mainly concentrated in TNF signaling pathway, cancer and other signal pathways. Molecular docking showed that the main active components of PQ-AT had relatively stable binding activity with TNF-α and PTGS2. Western blot results shows that compared with the model group, the expressions of PTGS2 and TNF-α significantly decreased in each administration group ( P<0.05 or P<0.01). Conclusion:PQ-AT can act on TNF, CASP3, JUN, STAT3, PTGS2 and other core targets to regulate signal pathways such as TNF, and inhibit inflammatory reaction to achieve the effect of treating DE.
