|
KMID : 1145720200080020255
|
|
Korean Herbal Medicine Informatics
2020 Volume.8 No. 2 p.255 ~ p.266
|
|
|
Prediction of potential targets efficacy derived from ginger active ingredients using network pharmacology
|
|
Lee A-Yeong
Lee Jun
Chun Jin-Mi
|
|
|
Abstract
|
|
|
|
Ginger (Zingiber officinale Rosc.) has widely used for the digestive in Korea and is the most popular food spices with a uniquely pungent flavor. Many compounds have been isolated in ginger, such as gingerols, steroids, monoterpenoids, etc. Many studies have reported the bioactivity of ginger extracts and active compounds in ginger such as antioxidant, anti-inflammatory, anti-cancer, and effect on the cardiovascular systems. However, the pharmacological effects of ginger between multiple-compounds and multiple-target were not reported yet. So, we confirmed the holistic pharmacological effect of ginger using a network pharmacology approach. We screened through six compounds (6-gingerol, 6-shogaol, dihydrocapsaicin, poriferastan-3β-ol, β-sitosterol, and stigmasterol) with ADME screening in the TCMSP database and searched 55 genes linked to six active compounds using the STITCH database. The core potential target genes were TP53, BCL2, MAPK8, HSP90AA1, and CYP7AA1. And Functional analysis of target genes was performed through Annotation, Visualization, and Integrated Discovery (DAVID) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway databases; 64 pathways were searched. Among them, pathways related to infectious disease were found the most. Therefore, this study was demonstrated the multi-component, multi-target, and multi-pathway characteristics of ginger, which were able to predict various efficacy properties for ginger compounds.
|
|
|
KEYWORD
|
|
|
ginger, Zingiber officinale Rosc., active ingredients, network pharmacology
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|