Potential mechanism of Huangqin decoction for the treatment of ulcerative colitis based on network pharmacology
10.16438/j.0513-4870.2019-0455
- VernacularTitle:基于网络药理学的黄芩汤治疗溃疡性结肠炎的潜在机制研究
- Author:
Hong-xin SONG
1
;
Xu-ran MA
1
;
Dun-fang WANG
1
;
Yan-li WANG
1
;
Di-xin ZOU
1
;
Jin-xue MIAO
1
,
2
;
Han WANG
3
;
Wei-peng YANG
1
Author Information
1. Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
2. Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China
3. Changchun University of Traditional Chinese Medicine, Changchun 130117, China
- Publication Type:Research Article
- Keywords:
network pharmacology;
Huangqin decoction;
ulcerative colitis;
mechanism;
target
- From:
Acta Pharmaceutica Sinica
2020;55(2):247-255
- CountryChina
- Language:Chinese
-
Abstract:
To study the mechanism of Huangqin decoction (HQT) in the treatment of ulcerative colitis (UC) by using network pharmacology, chemical components and targets related to the four herbs of Chinese meteria medical in HQT were searched through the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) to construct the interaction network diagram of the target point of the compounds. The UC-related targets were screened through OMIM, TTD, and GeneCard databases. The compound-target network was constructed using Cytoseape_v3.7.1 software; based on the STRING database, a target interaction network for HQT for UC was constructed, and the core target of HQT for UC was selected based on topological parameters. GO (gene ontology) biological process enrichment analysis and KEGG (KEGG pathway analysis) pathway annotation analysis were performed on the disease and drug intersection targets using the R package clusterprofile version 3.12.0 in Bioconductor. The HQT compound-UC target network contains 128 compounds and corresponding targets 141. The core targets are AKTI, IL6, PTGS2, IL10, IL1β and so on. GO functional enrichment analysis yielded 151 GO terms, and KEGG pathway enrichment screening resulted in 33 associations with UC, mainly involving PI3K-AKT signaling pathway, NF-kappa B signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway and so on. The synergetic effect of HQT with multi-components and multi-pathway was confirmed by network pharmacology, and the main possible mechanism of HQT in treating UC was predicted, which lay a foundation for the identification of effective components, the mechanism of action, and clinical application.
