Ye Baibai, Chen Ping, Lin Cheng, Liu Xinyu, Chen Jia, Zhang Chenning, Li Linfu
Gannan Medical University, Ganzhou, 341000, China.
Institute for Control of Chinese Traditional Medicine and Ethnic Medicine (ICCTMEM), National Institutes for Food and Drug Control (NIFDC), Beijing, 100050, China.
Comb Chem High Throughput Screen. 2024 Oct 21. doi: 10.2174/0113862073332751241008072644.
This study aimed to initially clarify the potential mechanism of quercetin in the treatment of non-small cell lung cancer (NSCLC) based on network pharmacology, molecular docking and in vitro experiments.
TCMSP, SwissTargetPrediction, TCMIP, STITCH, and ETCM databases were applied to obtain the targets of quercetin. NSCLC-related targets were retrieved from GeneCards, OMIM, PharmGKB, TTD, and NCBI databases. Their intersection targets were imported into the STRING database to construct a protein-protein interaction (PPI) network and core targets were identified through the Cytoscape 3.10.0 soft and the CytoHubba tool. Furthermore, Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the intersection targets. A compound-targetspathways network was subsequently constructed to screen for key targets and pathways. Molecular docking was performed with Discovery Studio software to verify the interactions between quercetin and core targets. In vitro validations were conducted employing CCK-8 assays, flow cytometry, and Western blotting (WB).
193 potential targets of quercetin for treating NSCLC were obtained. The top ten core targets identified within the PPI network included TP53, HSP90AA1, AKT1, JUN, SRC, EGFR, ACTB, TNF, MAPK1, and VEGFA. GO analysis yielded 2319 items, and KEGG analysis resulted in 211 enriched pathways. Molecular docking results demonstrated a high affinity of quercetin towards the core targets. Based on the compound-targets-pathways network and molecular docking, the PI3K/AKT/P53 pathway and its key-related proteins (PIK3R1, AKT1, and TP53) were selected for further validation. Quercetin(20 and 40 μg/mL) significantly decreased the viability of A549 NSCLC cells but not BEAS-2B normal cells via CCK-8 assays. Flow cytometry and WB analyses further corroborated that quercetin could promote apoptosis of A549 cells by downregulating and upregulating the expression of Bcl-2 and Bax (P<0.05), respectively. Notably, quercetin did not significantly alter the total protein levels of PI3K, AKT, and P53 but downregulated the phosphorylation levels of PI3K and AKT (P<0.05) and upregulated the phosphorylation level of P53 (P<0.05).
Quercetin exhibits therapeutic potential in NSCLC by regulating the PI3K/AKT/P53 pathway to promote cell apoptosis.
本研究旨在基于网络药理学、分子对接和体外实验初步阐明槲皮素治疗非小细胞肺癌(NSCLC)的潜在机制。
应用中药系统药理学数据库与分析平台(TCMSP)、瑞士药物靶点预测数据库(SwissTargetPrediction)、中医整合药理学平台(TCMIP)、STITCH数据库和中药综合数据库(ETCM)获取槲皮素的靶点。从基因卡片数据库(GeneCards)、在线人类孟德尔遗传数据库(OMIM)、药物基因组学知识库(PharmGKB)、治疗靶点数据库(TTD)和美国国立生物技术信息中心(NCBI)数据库中检索NSCLC相关靶点。将它们的交集靶点导入STRING数据库构建蛋白质-蛋白质相互作用(PPI)网络,并通过Cytoscape 3.10.0软件和CytoHubba工具鉴定核心靶点。此外,对交集靶点进行基因本体(GO)功能分析和京都基因与基因组百科全书(KEGG)通路富集分析。随后构建化合物-靶点-通路网络以筛选关键靶点和通路。使用Discovery Studio软件进行分子对接以验证槲皮素与核心靶点之间的相互作用。采用细胞计数试剂盒-8(CCK-8)检测、流式细胞术和蛋白质免疫印迹法(WB)进行体外验证。
获得了193个槲皮素治疗NSCLC的潜在靶点。在PPI网络中鉴定出的前十个核心靶点包括TP53、热休克蛋白90α家族成员1(HSP90AA1)、蛋白激酶B(AKT1)、原癌基因蛋白c-Jun(JUN)、原癌基因酪氨酸蛋白激酶(SRC)、表皮生长因子受体(EGFR)、肌动蛋白β(ACTB)、肿瘤坏死因子(TNF)、丝裂原活化蛋白激酶1(MAPK1)和血管内皮生长因子A(VEGFA)。GO分析产生2319个条目,KEGG分析产生211条富集通路。分子对接结果表明槲皮素与核心靶点具有高亲和力。基于化合物-靶点-通路网络和分子对接,选择磷脂酰肌醇-3-激酶/蛋白激酶B/肿瘤蛋白p53(PI3K/AKT/P53)通路及其关键相关蛋白(磷脂酰肌醇-3-激酶调节亚基1(PIK3R1)、AKT1和TP53)进行进一步验证。通过CCK-8检测,槲皮素(20和40μg/mL)显著降低A549 NSCLC细胞的活力,但对BEAS-2B正常细胞无影响。流式细胞术和WB分析进一步证实,槲皮素可分别通过下调和上调Bcl-2和Bax的表达促进A549细胞凋亡(P<0.05)。值得注意的是,槲皮素并未显著改变PI3K、AKT和P53的总蛋白水平,但下调了PI3K和AKT的磷酸化水平(P<0.05),并上调了P53的磷酸化水平(P<0.05)。
槲皮素通过调节PI3K/AKT/P53通路促进细胞凋亡,在NSCLC中具有治疗潜力。