Cargando…
Network pharmacology combined with functional metabolomics discover bile acid metabolism as a promising target for mirabilite against colorectal cancer
In this study, a combination of network pharmacology and metabolomics was used to explore the mechanism by which mirabilite regulates bile acid metabolism in the treatment of colorectal cancer. The PharmMapper web server was applied to make preliminary predictions for the treatment targets of mirabi...
Autores principales: | Sun, Hui, Zhang, Hong-lian, Zhang, Ai-hua, Zhou, Xiao-hang, Wang, Xiang-qian, Han, Ying, Yan, Guang-li, Liu, Liang, Wang, Xi-jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085400/ https://www.ncbi.nlm.nih.gov/pubmed/35546810 http://dx.doi.org/10.1039/c8ra04886j |
Ejemplares similares
-
High-throughput lipidomics reveal mirabilite regulating lipid metabolism as anticancer therapeutics
por: Zhang, Hong-lian, et al.
Publicado: (2018) -
Ultra-performance liquid chromatography/mass spectrometry technology and high-throughput metabolomics for deciphering the preventive mechanism of mirabilite on colorectal cancer via the modulation of complex metabolic networks
por: Sun, Hui, et al.
Publicado: (2019) -
Functional metabolomics discover pentose and glucuronate interconversion pathways as promising targets for Yang Huang syndrome treatment with Yinchenhao Tang
por: Sun, Hui, et al.
Publicado: (2018) -
High-throughput metabolomics for evaluating the efficacy and discovering the metabolic mechanism of Luozhen capsules from the excessive liver-fire syndrome of hypertension
por: Wang, Xi-jun, et al.
Publicado: (2019) -
Functional metabolomics using UPLC-Q/TOF-MS combined with ingenuity pathway analysis as a promising strategy for evaluating the efficacy and discovering amino acid metabolism as a potential therapeutic mechanism-related target for geniposide against alcoholic liver disease
por: Qiu, Shi, et al.
Publicado: (2020)