Bioinformatic and biochemical studies of formononetin against liver injure

Abstract

Formononetin is a promising bioactive phytoestrogen with evident pharmacological properties. However, the potential hepatoprotective benefit is evidenced limitedly in experiments. This study was designed to investigate the hepatoprotective mechanism and benefit of formononetin against liver injury via network pharmacology combined with biochemical determination. The computational data from network pharmacology identified the crucial genes of formononetin against liver injury, listed as TNF-α, NFκB-p65, TLR3, RELA, TRAF6, IKBKG, IKBKB, TNFRSF1A. And the anti-liver injury of formononetin were mainly involved in suppression of inflammatory pathways, including TNF signaling pathway, NF-κB signaling pathway, Toll-like receptor signaling pathway. In animal investigation, formononetin-dosed mice showed reduced body weight loss and hepatomegaly, meliorated liver function, suppressed hepatotoxicity and inflammatory reaction. Furthermore, the down-regulated expressions of TNF-α, NFκB-p65, TLR3 mRNAs and proteins in the livers of formononetin-dosed mice were detected accordingly. Therefore, we concluded that computational findings based on network pharmacology reveal the pharmacological targets, biological processes, and molecular mechanisms of formononetin against liver injury before some of findings were partially certified in vivo. Overall, formononetin may be a potential active component to prevent or treat liver injury.

Keywords: Biochemical test; Formononetin; Liver injury; Mechanism; Network pharmacology.