Anti-inflammatory mechanism of active ingredients in Jingfang Mixture based on network pharmacology and experimental verification.
10.19540/j.cnki.cjcmm.20220414.401
- Author:
Qun FENG
1
;
Cheng-Hong SUN
1
;
Shi-Rong LI
2
;
Xiang-Zi LI
2
;
Min XIAO
2
;
Tao ZHAO
2
;
Gui-Min ZHANG
3
Author Information
1. State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine Linyi 276006, China.
2. Center for New Drug Pharmacology, Lunan Pharmaceutical Group Co., Ltd. Linyi 273400, China.
3. State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine Linyi 276006, China Center for New Drug Pharmacology, Lunan Pharmaceutical Group Co., Ltd. Linyi 273400, China.
- Publication Type:Journal Article
- Keywords:
Jingfang Mixture;
TNF signaling pathway;
inflammation;
network pharmacology;
urticaria
- MeSH:
Animals;
Mice;
Anti-Inflammatory Agents/therapeutic use*;
Cyclooxygenase 2;
Drugs, Chinese Herbal/therapeutic use*;
Inflammation/drug therapy*;
Medicine, Chinese Traditional;
Molecular Docking Simulation;
Network Pharmacology;
NF-kappa B/genetics*
- From:
China Journal of Chinese Materia Medica
2022;47(20):5481-5487
- CountryChina
- Language:Chinese
-
Abstract:
The present study aimed to explore the regulatory targets and anti-inflammatory mechanism of Jingfang Mixture based on network pharmacology and animal tests. The active ingredients of Jingfang Mixture and the corresponding targets were screened out by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). Inflammation-related targets were searched from GeneCards and DisGeNET, and the targets of active ingredients of Jingfang Mixture against inflammation were obtained. The protein-protein interaction(PPI) network was analyzed by STRING and plotted. Gene ontology(GO) function and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses were carried out based on DAVID. The results of network pharmacology showed 159 active ingredients and 276 targets of Jingfang Mixture and 664 inflammation-related targets were screened out, and 90 targets of active ingredients of Jingfang Mixture against inflammation were obtained. As revealed by the PPI network, protein kinase B1(AKT1), caspase-3(CASP3), interleukin-1β(IL1 B), prostaglandin-endoperoxide synthase 2(PTGS2), and tumor necrosis factor(TNF) might be the key proteins for the anti-inflammatory effect of Jingfang Mixture. KEGG enrichment analysis demonstrated the pathways involved TNF, nuclear factor-kappa B(NF-κB), and mitogen-activated protein kinase(MAPK). The anti-inflammatory effect of Jingfang Mixture was explored through the mouse model of urticaria. The results indicated that Jingfang Mixture could down-regulate the phosphorylation levels of p38 MAPK, extracellular regulated protein kinases(ERK1/2), and NF-κB. The present study revealed the anti-inflammatory effect of Jingfang Mixture with multi-component and multi-target characteristics, which is expected to provide a scientific basis and important support for further research, development, and application.
