Bioactive components and the molecular mechanism of Shengxian Decoction against lung adenocarcinoma based on network pharmacology and molecular docking

基于网络药理学和分子对接的生仙汤抗肺腺癌生物活性成分及其分子机制研究

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作者:Ruijiao Yuan,Kejuan Li,Qi Li,Chun Wang,Hong Zhang,Lihong Ge,Yifeng Ren,Fengming You

Abstract

Objective: The aim of this study was to identify the active components of Shengxian Decoction (SXT) and to elucidate the multi-component, multi-target, and multi-pathway regulatory mechanisms underlying the efficacy of SXT in treating lung adenocarcinoma (LUAD). Methods: The effects of SXT extract on proliferation, migration, and invasion capabilities of human LUAD cells were determined through 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), wound healing, and Transwell assays. High-Performance Liquid Chromatography (HPLC) was employed to pinpoint the primary active constituents of SXT. The SXT-active component-target-pathway network and protein-protein interaction (PPI) network were constructed based on network pharmacology. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed using DAVID. The clinical significance of key targets was assessed using several external databases, and molecular docking confirmed the binding affinities between key targets and SXT active components. Results: SXT significantly inhibited the proliferation, migration and invasion of human LUAD cells. HPLC identified and quantified seven active SXT components. Network pharmacology yielded 197 targets, 128 signaling pathways, and 448 GO terms. The PPI network and external validation underscored 13 key targets significantly associated with the influence of SXT on LUAD progression. Molecular docking demonstrated strong interactions between SXT active components and key targets. Conclusion: SXT treats LUAD through a multifaceted approach involving various components, targets, and pathways. This research offers novel insights into the constituents and molecular mechanisms of SXT in LUAD therapy.

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