Anticancer Effects of Ziziphus jujuba in Human Breast Carcinoma: An Integrated Study of Network Pharmacology, Molecular Docking and Dynamics Simulations and in-vitro Experimental Validation.

IF 1.7 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Iranian Journal of Pharmaceutical Research Pub Date : 2026-04-20 eCollection Date: 2026-01-01 DOI:10.5812/ijpr-169917
Jinxin Guo, Jing Shen
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引用次数: 0

Abstract

Background: Ziziphus jujuba is a promising medicinal plant with ethnomedicinal claims and constitutes one of the important herbs in Traditional Chinese Medicine, yet it has not been explored for its anticancer effects against breast cancer (BC).

Objectives: The current study aimed to use an integrated approach involving network pharmacology, in-silico molecular docking and dynamics simulations, as well as in-vitro experimental validation, to study the anticancer effects of Z. jujuba in BC.

Methods: A total of 133 phytochemicals from Z. jujuba were screened using the TCMSP database, followed by toxicity screening (Protox 3.0) and ADMET analysis (ADMET AI). Soxhlet extraction was performed with a 70:30 ethanol:dichloromethane solvent mixture. Compound-target networks were constructed using SuperPred, SwissTargetPrediction, and Cytoscape (CytoHubba plugin, Degree method). Breast cancer targets (GeneCards, Gifts score ≥ 60%) were intersected with phytochemical targets (Venny 2.0), and a PPI network was generated (STRING, confidence ≥ 0.700). GO and KEGG analyses used ShinyGO 0.80. Expression analyses of hub genes were conducted using GEPIA2 (BRCA dataset). Molecular docking was performed with CB-Dock2, and MD simulations used iMODS (100 modes, 300 K) and Desmond. Bioassays included MTT, clonogenic, Annexin V/PI, and Western blot analyses on MDA-MB-231 and MCF-10A cells.

Results: Five phytochemicals (Spiradine A, Jujubogenin, Malkangunin, Ceanothic Acid, Moupinamide) showed no toxicity risks. The compound-target network identified 305 targets, with 160 intersecting BC targets. The PPI network (160 nodes, 568 edges, P < 1.0e-16) revealed EGFR, HSP90AA1, and STAT3 as hubs. GO/KEGG analyses linked targets to cancer pathways. EGFR, HSP90AA1, and STAT3 showed higher expression in tumors (P < 0.05), with EGFR/STAT3 linked to poorer survival (P < 0.05). Jujubogenin docking yielded binding affinities of -8.7 (EGFR), -7.5 (HSP90AA1), and -8.2 kcal/mol (STAT3). MD simulations confirmed stable EGFR/STAT3 complexes. The extract exhibited selective cytotoxicity, reduced colony formation, induced apoptosis (P < 0.05), and downregulated EGFR (70%), HSP90AA1 (60%), and STAT3 (90%) at 100 µg/mL (P < 0.01).

Conclusions: Network pharmacology revealed that Z. jujuba phytochemicals are predicted to show significant effects against BC. Out of these, Jujubogenin exhibited strong and stable interactions with network-predicted hubs. The extract showed selective cytotoxicity, induced apoptosis, inhibited colony formation, and significantly downregulated these hub proteins, validating its promising anticancer potential.

红枣对人乳腺癌的抗癌作用:网络药理学、分子对接与动力学模拟及体外实验验证的综合研究。
背景:酸枣是一种极具民族医学价值的药用植物,是我国重要的中草药之一,但其对乳腺癌的抗癌作用尚未得到充分的研究。目的:采用网络药理学、计算机分子对接和动力学模拟、体外实验验证相结合的方法,研究红枣对BC的抗癌作用。方法:利用TCMSP数据库对枣中133种植物化学物质进行筛选,并进行毒性筛选(Protox 3.0)和ADMET分析(ADMET AI)。用70:30乙醇:二氯甲烷溶剂混合物进行索氏提取。使用SuperPred、SwissTargetPrediction和Cytoscape (CytoHubba插件,度方法)构建复合目标网络。将乳腺癌靶点(GeneCards, gift评分≥60%)与植物化学靶点(Venny 2.0)相交,生成PPI网络(STRING,置信度≥0.700)。GO和KEGG分析使用ShinyGO 0.80。使用GEPIA2 (BRCA数据集)对枢纽基因进行表达分析。使用CB-Dock2进行分子对接,使用iMODS(100模式,300 K)和Desmond进行MD模拟。生物检测包括MDA-MB-231和MCF-10A细胞的MTT、克隆性、膜联蛋白V/PI和Western blot分析。结果:5种植物化学物质(Spiradine A、Jujubogenin、Malkangunin、ceanoic Acid、Moupinamide)均无毒性风险。复合靶点网络确定了305个靶点,其中160个与BC靶点相交。PPI网络(160个节点,568条边,P < 1.0e-16)显示EGFR、HSP90AA1和STAT3为集线器。GO/KEGG分析将靶标与癌症途径联系起来。EGFR、HSP90AA1和STAT3在肿瘤中表达较高(P < 0.05),且EGFR/STAT3与较差的生存率相关(P < 0.05)。枣红素对接的结合亲和力分别为-8.7 (EGFR)、-7.5 (HSP90AA1)和-8.2 kcal/mol (STAT3)。MD模拟证实了稳定的EGFR/STAT3复合物。在100µg/mL浓度下,提取物表现出选择性细胞毒性,减少菌落形成,诱导细胞凋亡(P < 0.05),下调EGFR(70%)、HSP90AA1(60%)和STAT3 (90%) (P < 0.01)。结论:网络药理学研究表明,枣树植物化学物质对BC有明显的抑制作用。其中,Jujubogenin与网络预测中心表现出强烈而稳定的相互作用。该提取物表现出选择性细胞毒性,诱导细胞凋亡,抑制集落形成,并显著下调这些枢纽蛋白,验证了其抗癌潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.40
自引率
6.20%
发文量
52
审稿时长
2 months
期刊介绍: The Iranian Journal of Pharmaceutical Research (IJPR) is a peer-reviewed multi-disciplinary pharmaceutical publication, scheduled to appear quarterly and serve as a means for scientific information exchange in the international pharmaceutical forum. Specific scientific topics of interest to the journal include, but are not limited to: pharmaceutics, industrial pharmacy, pharmacognosy, toxicology, medicinal chemistry, novel analytical methods for drug characterization, computational and modeling approaches to drug design, bio-medical experience, clinical investigation, rational drug prescribing, pharmacoeconomics, biotechnology, nanotechnology, biopharmaceutics and physical pharmacy.
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