Mechanism of crocin compounds from Gardenia jasminoides in Zhejiang Province by network pharmacology
10.7501/j.issn.0253-2670.2019.08.015
- Author:
Fang-Zhou LIU
1
Author Information
1. Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Science
- Publication Type:Journal Article
- Keywords:
Cardiovascular diseases;
Crocin;
Gardenia jasminoides Ellis;
Mechanism;
Network pharmacology;
Zhejiang produce area
- From:
Chinese Traditional and Herbal Drugs
2019;50(8):1873-1879
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To investigate the pharmacological mechanism of the crocin compounds from Gardenia jasminoides in Zhejiang Province by using network pharmacology. To provide a valuable research strategy for the rational use and in-depth research and development of G. jasminoides from Zhejiang. Methods: Our previous research results showed that the Zhejiang area of Gardenia crocin content and other areas have significant difference. Based on the results, the crocin compounds from G. jasminoides were used to predict the targets according to Pubchem, Uniprot, STITCH, SWISS, and TCMSP online databases. Cytoscape software was used to construct compound-target-disease network of the G. jasminoides crocin ingredients. The targets were analyzed by Gene ontology (GO) enrichment and KEGG pathway analysis using CTD online analysis platform to analyze main biological pathways for obtaining the deep mechanism of G. jasminoides in Zhejiang. Results: The crocin compounds from G. jasminoides in Zhejiang Province were obtained through previous work and network pharmacology screening, such as crocin-1 and crocin-2, and 18 corresponding targets were acted, such as FGF2, VEGFA, KDR, and FLT1. These targets could joint in pathways, such as GPCR, Rap1, and Ras signaling pathway. These ingredients are mainly used to treat 18 related diseases such as cardiovascular diseases, tumors and digestive system. Conclusion: The method based on system pharmacology could help to find the key targets of characteristic high-content chemical constituents of herb from different producing areas, signaling pathway and disease network of traditional Chinese medicine (TCM), and provide useful information and data support for giving a further study on TCM resources in different regions of China.
