International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(8), P. 3506 - 3506
Published: April 9, 2025
Globally, lung cancer is the primary cause of deaths associated with cancer; however, current therapies are costly and toxic, highlighting need for novel treatments. Peiminine (Verticinone), a key bioactive compound derived from Fritillaria ussuriensis Maxim., has demonstrated diverse biological activities. However, precise pharmacological mechanisms underlying its anti-lung effects remain unclear. The objective this study was to quantify content peiminine in Maxim. different geographical regions using UHPLC-MS/MS elucidate through network pharmacology, bioinformatics, vitro experiments. various determined UHPLC-MS/MS. Potential target genes were systematically screened multiple databases. To identify core genes, we set up PPI (protein-protein interaction) network, followed by in-depth analyses their corresponding proteins. Survival analysis, molecular docking, dynamics simulations used explore potential anti-cancer mechanisms. In experiments on human H1299 NSCLC cells assessed peiminine's anti-tumor activity measured gene transcription levels. analysis revealed that Mudanjiang (Heilongjiang Province) exhibited highest content. Network identified PIK3CG, SRC, JAK3, AKT2, PRKCA as targets treatment. Molecular docking results strong binding affinities between JAK3; these further confirmed simulations. indicated high AKT2 expression correlated bad prognosis patients. vitro, inhibited cell viability regulated involved PI3K-Akt pathway (PI3K, AKT, PTEN) apoptosis (Bcl-2, Bax), suggesting it may induce via inhibition. exhibits significant targeting such well modulating signaling apoptosis-related genes. These lay foundation investigations into potentially effective therapeutic option treating cancer. Additionally, (PIK3CG, PRKCA) function possible biomarkers predicting guiding personalized therapy.
Language: Английский