Integrating network pharmacology and experimental models to investigate the efficacy and mechanism of Tiansha mixture on xerosis

Abstract

Epidermal Growth Factor Receptor Inhibitors (EGFRIs) is a common cancer therapy, but they occasionally cause severe side effects such as xerosis. Tiansha mixture (TM), a traditional Chinese medicines formulation, is develpoed to treat xerosis. This study aims to understand mechanisms of TM on xerosis. Bio-active compounds were selected from databases (TCMSP, TCM-ID, HERB, ETCM) and removed for poor oral bioavailability and low drug likeness. Then a network-based approach filtered out potential active compounds against xerosis. KEGG enrichment analysis identified PI3K/AKT and ERK/MAPK pathways, which were further verified by molecular docking. Afterwards, the effect of TM on activation of PI3K/AKT and ERK/MAPK pathways was validated in gefitinib-induced xerosis rats, where AKT-activator SC79 and MAPK-activator CrPic were also applied. Skin damage was assessed by dorsal score and HE and Tunel stainings. the levels of inflammation factors IL-6 and TNF-α in serum and skin tissue were measured by ELISA. Western blot was used to detect protein levels in the pathways. Network pharmacology identified 111 bio-active compounds from TM and 14 potential targets. Docking simulation showed apigenin, luteolin, and quercetin bio-active compounds in TM bound to IKBKG, INSR, and RAF-1 proteins. In xerosis model rats, TM mitigated xerosis damage, decreased inflammation factors, and phosphorylation of PI3K/AKT and ERK/MAPK proteins. SC79 or CrPic or their combination reversed TM’s effect. The current study identified potential targets and PI3K/AKT and ERK/MAPK pathways involved in the effect of TM on xerosis, thus providing a foundation for TM clinical application.