Anti-inflammatory and analgesic activity analysis of Qizhi Weitong Granules based on network pharmacology / 中草药
Chinese Traditional and Herbal Drugs
; (24): 3094-3106, 2019.
Article
in Zh
| WPRIM
| ID: wpr-851017
Responsible library:
WPRO
ABSTRACT
Objective: The target of anti-inflammatory and analgesic active components of Qizhi Weitong Granules was predicted by network pharmacology method, and the effect of multi-component-multi-target-multi-pathways on TCM-complexation theory was analyzed. Methods: The main chemical constituents of six Chinese medicines in Qizhi Weitong Granules were collected based on the TCMSP Chinese Medicine System Biological Analysis Database and analyzed by LC-MS. The main target of each component was predicted by TCMSP search and Pharmmapper software. The relationship between drug, target and inflammatory pain target was established by DIP database and protein interaction information. In order to elucidate the main mechanism of anti-inflammatory and analgesic effects of Qizhi Weitong Granules, the network of “drug-target-disease” was constructed and the target of anti-inflammatory and analgesic effects of Qizhi Weitong Granules were analyzed by network characteristics. Results: Through the network analysis, a total of 44 inflammatory targets were closely related to Qizhi Weitong Granules, of which 20 were directly targeted, mainly for the action of proteases such as COX-2 and iNOS. The mechanism may be related to the regulation of TNF signaling pathway, NOD-like receptor signaling pathways, VEGF signaling pathways and other signaling pathways closely related to inflammation. Conclusion: The anti-inflammatory and analgesic effects of Qizhi Weitong Granules reflect the multi-component, multi-target and multi-pathway characteristics of traditional Chinese medicine. This study provides a scientific basis for further understanding the anti-inflammatory and analgesic mechanism of Qizhi Weitong Granules and explains the scientificity of the traditional Chinese medicine compatibility theory.
Full text:
1
Database:
WPRIM
Traditional Medicines:
Medicinas_tradicionales_de_asia
/
Medicina_china
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Chinese Traditional and Herbal Drugs
Year:
2019
Type:
Article