Hussain Shoukat, Mustafa Ghulam, Ahmed Sibtain, Albeshr Mohammed Fahad
Department of Biochemistry, Government College University Faisalabad, Faisalabad 38000, Pakistan.
Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Pharmaceuticals (Basel). 2023 Sep 1;16(9):1239. doi: 10.3390/ph16091239.
Hepatocellular carcinoma (HCC) is the fifth most common and fatal cancer reported, representing 72.5% of malignancies around the world. The majority of HCC incidents have been associated with infections caused by hepatitis B and C viruses. Many first- and second-line conventional drugs, e.g., sorafenib, cabozantinib, or ramucirumab, have been used for the management of HCC. Despite different combinational therapies, there are still no defined biomarkers for an early stage diagnosis of HCC. The current study evaluated the potential of , , , and , which belong to the family Saxifragaceae, to treat HCC using an integrated network pharmacology and molecular docking approach. Four active phytochemicals were selected based on oral bioavailability (OB) and drug likeness (DL) parameters. The criteria of phytochemical selection were set to OB > 30% and DL > 0.18. Similarly, the gene targets related to spp. and the genes related to HCC were retrieved from different databases. The integration of these genes revealed 98 most common overlapping genes, which were mainly interrelated with HCC pathogenesis. Ultimately, the 98 -HCC associated genes were used for protein-protein interaction (PPI), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and Gene Ontology (GO) enrichment analyses. Finally, the topological analysis revealed the top ten hub genes with maximum degree rank. From the top ten genes, STAT3, MAPK3, and SRC were selected due to their involvement in GO annotation and KEGG pathway. To confirm the network pharmacology results, molecular docking analysis was performed to target STAT3, MAPK3, and SRC receptor proteins. The phytochemical (+)-catechin 3-gallate exhibited a maximum binding score and strong residue interactions with the active amino acids of MAPK3-binding pockets (S-score: -10.2 kcal/mol), SRC (S-score: -8.9 kcal/mol), and STAT3 (S-score: -8.9 kcal/mol) as receptor proteins. (+)-Catechin 3-gallate and β-sitosterol induced a significant reduction in cell viability in HepG2 after 24 h of treatment in a dose-dependent manner. The results of this study explore the potential of (+)-catechin 3-gallate and β-sitosterol, which can be used in the future as potential drug candidates to suppress HCC.
肝细胞癌(HCC)是报告中第五大常见且致命的癌症,占全球恶性肿瘤的72.5%。大多数HCC病例与乙型和丙型肝炎病毒感染有关。许多一线和二线传统药物,如索拉非尼、卡博替尼或雷莫西尤单抗,已被用于HCC的治疗。尽管有不同的联合疗法,但仍没有用于HCC早期诊断的明确生物标志物。本研究使用综合网络药理学和分子对接方法评估了虎耳草科的[具体植物名称缺失]、[具体植物名称缺失]、[具体植物名称缺失]和[具体植物名称缺失]治疗HCC的潜力。基于口服生物利用度(OB)和类药性(DL)参数选择了四种活性植物化学物质。植物化学物质的选择标准设定为OB>30%且DL>0.18。同样,从不同数据库中检索了与[植物名称]属相关的基因靶点和与HCC相关的基因。这些基因的整合揭示了98个最常见的重叠基因,它们主要与HCC发病机制相关。最终,将这98个与HCC相关的基因用于蛋白质-蛋白质相互作用(PPI)、京都基因与基因组百科全书(KEGG)通路和基因本体论(GO)富集分析。最后,拓扑分析揭示了度排名最高的前十个枢纽基因。从前十个基因中,选择了STAT3、MAPK3和SRC,因为它们参与了GO注释和KEGG通路。为了证实网络药理学结果,对STAT3、MAPK3和SRC受体蛋白进行了分子对接分析。植物化学物质(+)-儿茶素3-没食子酸酯与MAPK3结合口袋(S评分:-10.2 kcal/mol)、SRC(S评分:-8.9 kcal/mol)和STAT3(S评分:-8.9 kcal/mol)的活性氨基酸作为受体蛋白表现出最大结合分数和强烈的残基相互作用。(+)-儿茶素3-没食子酸酯和β-谷甾醇在处理24小时后以剂量依赖的方式显著降低了HepG2细胞的活力。本研究结果探索了(+)-儿茶素3-没食子酸酯和β-谷甾醇的潜力,它们未来可作为潜在的候选药物用于抑制HCC。