小檗碱和水飞蓟素对代谢目标的计算机评价:基于组学技术的协同制剂的基本原理。

In silico pharmacology Pub Date : 2025-09-17 eCollection Date: 2025-01-01 DOI:10.1007/s40203-025-00426-1
Augustine Amalraj, V Anantha Narayanan, T S Ardra, Sreeraj Gopi
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引用次数: 0

摘要

小檗碱和水飞蓟素是一种植物化学物质,在葡萄糖、脂质和炎症途径中具有多效性,使它们成为治疗代谢紊乱(如2型糖尿病(T2DM)和血脂异常)的有希望的候选者。然而,它们的临床转化受到溶解度差、渗透性低和代谢不稳定的阻碍。本研究旨在利用计算机工具评估小檗碱和水飞蓟素的药代动力学和药效学特征,并提出一种基于组学技术的合理设计,以提高它们的治疗潜力。进行了全面的计算机分析,包括与DPP4、PTP1B、PCSK9和P38MAPK的分子对接、ADMET分析、CYP450相互作用预测、毒性筛选和基于典型smiles的结构评估。小檗碱具有良好的GI和血脑屏障渗透性,具有很强的靶标结合(- 7.1至- 8.0 kcal/mol),但存在P-gp外排和CYP抑制等缺点。水飞蓟素具有较强的对接分数(高达- 9.0 kcal/mol)和良好的安全性,但渗透性有限。它们的互补特性支持共同制定。研究结果支持基于组学技术的脂质蛋白包封制剂的开发,以克服药代动力学障碍并增强协同效应。这种方法有望优化T2DM和相关代谢紊乱的多目标管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico evaluation of berberine and silymarin against metabolic targets: a rationale for OMICS technology-based co-formulation.

Berberine and silymarin are phytochemicals with established pleiotropic effects across glucose, lipid, and inflammatory pathways, making them promising candidates for managing metabolic disorders such as type 2 diabetes mellitus (T2DM) and dyslipidaemia. However, their clinical translation is hindered by poor solubility, low permeability, and metabolic instability. This study aimed to evaluate the pharmacokinetic and pharmacodynamic profiles of berberine and silymarin using in silico tools and propose a rational design for an OMICS technology-based co-formulation to enhance their therapeutic potential. Comprehensive in silico analyses were performed, including molecular docking against DPP4, PTP1B, PCSK9, and P38MAPK, ADMET profiling, CYP450 interaction prediction, toxicity screening, and canonical SMILES-based structural assessment. Berberine showed good GI and BBB permeability with strong target binding (- 7.1 to - 8.0 kcal/mol) but presented liabilities including P-gp efflux and CYP inhibition. Silymarin exhibited stronger docking scores (up to - 9.0 kcal/mol) and favourable safety but limited permeability. Their complementary profiles support co-formulation. Findings support the development of an OMICS technology-based lipid-protein encapsulated formulation to overcome pharmacokinetic barriers and enhance synergistic efficacy. This approach holds promise for optimized multi-target management of T2DM and related metabolic disorders.

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