快速检索
年期检索
摘要： Abstract To investigate the possible targets and mechanisms of polyphenols in perilla in the treatment of hyperuricemia (HUA) Batman-TCM, TCMSP, PubMed, and CNKI databases were used to obtain the main components of perilla and component- related targets. HUAtargets were collected through GeneCards and OMIM online platforms. The HUAtarget and the perilla component target were crossed to obtain a common target. Protein interaction networks were constructed using the STRING database, and the compound-target-pathway network was constructed by Cytoscape software. The GO and KEGG enrichment analysis was performed using the DAVID database. Molecular docking was used to verify the results. Thirteen potential active components, 101 component targets, 901 HUA-related targets, and 36 common targets were screened out. Through network topology analysis, core targets such as TP53, TNF, CASP3, and PPARG and active components such as luteolin, β-carotene, cyanidin, catechin, and linolenic acid ethyl ester were obtained. The topology analysis of the “compound-target- pathway” network showed that the polyphenolic compounds luteolin, cyanidin, and catechin were the main active components of the perilla in the treatment of HUA. This study showed that the treatment of HUA with perilla had the characteristics of a multi-component, multi-target, and multi-signal pathway, which provided a scientifc basis for further study on the molecular mechanism of the treatment of HUAwith the potential active components of perilla.
