Engineering Research Center of Tropical Medicine Innovation and Transformation of Ministry of Education & International Joint Research Center of Human-Machine Intelligent Collaborative for Tumor Precision Diagnosis and Treatment of Hainan Province & Hainan Provincial Key Laboratory of Research and Development on Tropical Herbs & Haikou Key Laboratory of Li Nationality Medicine, School of Pharmacy, Hainan Medical University, No. 3 Xueyuan Road, Haikou, 571199, Hainan Province, China.
Hepatobiliary and Liver Transplantation Department of Hainan Digestive Disease Center, Institute of Clinical Medicine, The Second Affiliated Hospital of Hainan Medical University, No. 368 Yehai Road, Haikou, Hainan Province, 570311, China.
BMC Complement Med Ther. 2024 May 30;24(1):208. doi: 10.1186/s12906-024-04518-x.
Galangin, a flavonoid compound, is derived from Alpinia officinarum Hance. Previous studies have shown that galangin can inhibit the proliferation of hepatocellular carcinoma (HCC), but its mechanism is still unclear. This study aims to investigate the potential targets and molecular mechanisms of galangin on HCC through network pharmacology, bioinformatics, molecular docking, and experimental in vitro validation.
In this study, network pharmacology was used to investigate the targets and mechanisms of galangin in the treatment of HCC. AutoDockTools software was used to simulate and calculate the binding of galangin to its core targets. GO and KEGG enrichment analyses were conducted in the DAVID database to explore the main biological functions and signaling pathways impacted by galangin intervention. In addition, bioinformatics was applied to examine the correlation between the differential expressions of the anti-HCC core targets of galangin and the survival of patients with HCC. Finally, the findings obtained from network pharmacology and bioinformatics were verified in cell experiments.
A total of 67 overlapping target genes of galangin and HCC were identified. Through the analysis of the protein-protein interaction (PPI) network, 10 hub genes with the highest degree of freedom were identified, including SRC, ESR1, MMP9, CDK4, CCNB1, MMP2, CDK2, CDK1, CHK1, and PLK1. These genes were found to be closely related to the degradation of the extracellular matrix, signal transduction, and the cell cycle. GO and KEGG enrichment analyses revealed that galangin exerts an anti-HCC role by affecting various signaling pathways, including the cell cycle, pathways in cancer, and the PI3K-Akt signaling pathway. The results of molecular docking indicated a significant interaction between galangin and CCNB1, CDK4, CDK1, and PLK1. Bioinformatics analysis revealed that CCNB1, CDK4, CDK1, and PLK1 were upregulated in the liver of patients with HCC at both the mRNA and protein levels. Flow cytometry analysis showed that galangin induced G0/G1 phase arrest and cell apoptosis in HepG2 and Huh7 cells. Additionally, galangin suppressed the expression of key proteins and mRNAs involved in the cell cycle pathway.
These results suggest that galangin inhibits the growth of HCC cells by arresting the cell cycle at the G0/G1 phase.
高良姜素是一种黄酮类化合物,来源于益智 Alpinia officinarum Hance。先前的研究表明,高良姜素可以抑制肝癌(HCC)的增殖,但具体机制尚不清楚。本研究旨在通过网络药理学、生物信息学、分子对接和体外实验验证,探讨高良姜素对 HCC 的潜在靶点和分子机制。
本研究采用网络药理学方法研究高良姜素治疗 HCC 的靶点和机制。使用 AutoDockTools 软件模拟和计算高良姜素与核心靶点的结合。在 DAVID 数据库中进行 GO 和 KEGG 富集分析,以探讨高良姜素干预后受影响的主要生物学功能和信号通路。此外,应用生物信息学方法检测高良姜素抗 HCC 核心靶点的差异表达与 HCC 患者生存的相关性。最后,在细胞实验中验证网络药理学和生物信息学的结果。
共鉴定出 67 个高良姜素与 HCC 的重叠靶基因。通过蛋白质-蛋白质相互作用(PPI)网络分析,确定了 10 个具有最高自由度的核心基因,包括 SRC、ESR1、MMP9、CDK4、CCNB1、MMP2、CDK2、CDK1、CHK1 和 PLK1。这些基因与细胞外基质的降解、信号转导和细胞周期密切相关。GO 和 KEGG 富集分析表明,高良姜素通过影响多种信号通路发挥抗 HCC 作用,包括细胞周期、癌症通路和 PI3K-Akt 信号通路。分子对接结果表明,高良姜素与 CCNB1、CDK4、CDK1 和 PLK1 之间存在显著相互作用。生物信息学分析显示,CCNB1、CDK4、CDK1 和 PLK1 在 HCC 患者的肝脏组织中同时在 mRNA 和蛋白水平上均呈上调表达。流式细胞术分析表明,高良姜素诱导 HepG2 和 Huh7 细胞发生 G0/G1 期阻滞和细胞凋亡。此外,高良姜素抑制了细胞周期通路中关键蛋白和 mRNA 的表达。
这些结果表明,高良姜素通过将细胞周期阻滞在 G0/G1 期来抑制 HCC 细胞的生长。