Erchen Decoction(ECD) has been clinically verified to be effective for
treating metabolic syndrome(MetS) induced by second-generation
antipsychotics(SGAs). Network pharmacology analysis results exhibited
that 129 active components and 221 potential targets of ECD, 1027
targets related to MetS, and 361 targets of clozapine and olanzapine
were gained after screening. Then, 79 intersection targets of ECD and
MetS were obtained by Venn analysis to construct a PPI network. However,
it could not explain the potential target and mechanism of ECD to
improve the metabolic disorder caused by SGAs. GO function and KEGG
pathway analyses were performed on 23 common targets of ECD, clozapine,
olanzapine, and metabolic syndrome, and visualization networks were
constructed. The results revealed the potential signaling pathway of ECD
for treating drug-induced MetS, especially the AMPK signaling pathway.
The visualization network reflects that ADRA1A, AHR, NR3C1, and SLC6A4
may be the core targets. Ultimately, molecular docking results displayed
that active components of ECD naringenin, baicalein, and quercetin had a
good binding activity with NR3C1 and SLC6A4 targets.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.