从苍子皮中提取多酚类物质的工艺优化及其对癌症活性的计算机模拟研究。

Tathagata Adhikary, Piyali Basak
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引用次数: 0

摘要

Backgtound:不同研究领域之间的相互联系因其在解决科学问题方面的前沿视角而引起了人们的兴趣。阿诸那在印度本土被用于治疗多种疾病,其药理活性在最近的药物再利用研究中被重新审视。目的:研究超声波辅助高效提取阿诸那树皮中的植物化学物质。在优化提取工艺后,对粗水乙醇提取物进行植物化学分析,并对其抗癌性能进行计算机模拟研究。方法:采用三级四因素Box-Behnken设计优化四个操作参数,即提取时间、超声功率、乙醇浓度(作为提取溶剂)和溶质(以g计)与溶剂(以mL计)的比例。在最佳参数条件下,得到了粗提物,并对其进行了GC-MS分析。网络药理学分析(通过使用Cytoscape构建和可视化生物网络)结合分子对接揭示了粗提取物的潜在抗肿瘤靶点。结果:方差分析表显示了所提出的二阶多项式模型的显著性、充分性和可靠性,R²值为0.917,调整后的R²为0.865。实验结果表明,粗提取物具有显著的抗氧化潜力。粗提取物的GC-MS分析预测了提取的植物化学物质,而构建的生物网络突出了其在癌症中的多靶向活性。结论:本研究确定木犀草素、β-谷甾醇和arjunic acid三种植物化学物质为有效的抗癌剂,并可通过体外和体内实验扩展以验证计算机模拟结果,从而在多靶向癌症治疗中建立副作用最小的先导植物化学物质。
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Optimizing the Extraction of Polyphenols from the Bark of Terminalia arjuna and an In-silico Investigation on its Activity in Colorectal Cancer.

Background: The interconnection between different fields of research has gained interest due to its cutting-edge perspectives in solving scientific problems. Terminalia arjuna is indigenously used in India for curing several diseases, and its pharmacological activities are being revisited in recent drug-repurposing research.

Objectives: Efficient ultrasound-assisted extraction of phytochemicals from the bark of Terminalia arjuna is highlighted in this study. Following the optimization of the extraction process, the crude hydroethanolic extract is subjected to phytochemical profiling and an in-silico investigation of its anti-cancer properties.

Materials and methods: A three-level four-factor Box-Behnken design is exploited to optimize four operational parameters, namely extraction time, ultrasonic power, ethanol concentration (as the extracting solvent) and solute (in g): solvent (in mL) ratio. At the optimum parametric condition, the crude extract is obtained, and its GC-MS analysis is carried out. An analysis of network pharmacology (by constructing and visualizing biological networks using Cytoscape) combined with molecular docking reveals the potential antineoplastic targets of the crude extract.

Results: The ANOVA table exhibits the significance, adequacy and reliability of the proposed second-order polynomial model with the R² value of 0.917 and adjusted R² of 0.865. Experimental results portray the significant antioxidant potential of the prepared extract in its crude form. The GC-MS analysis of the crude extract predicts the extracted phytochemicals, while the constructed biological networks highlight its multi-targeted activity in colorectal cancer.

Conclusion: The study identifies three phytochemicals viz. luteolin, β-sitosterol and arjunic acid as potent anti-cancer agents and can be extended with in-vitro and in-vivo experiments to validate the in-silico results, thus establishing lead phytochemicals in multi-targeted colorectal cancer therapies.

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