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采用计算方法研究阿育吠陀草药配方Rasayana Churna的衰老调节机制。

Investigating the aging-modulatory mechanism of Rasayana Churna, an Ayurvedic herbal formulation, using a computational approach.

作者信息

Bisht Amisha, Nayal Anita, Tewari Disha, Kumar Sanjay, Chandra Subhash

机构信息

Department of Botany, Pt. Badridutt Pandey Campus Bageshwar, Soban Singh Jeena University, Almora, Uttarakhand, 263601, India.

Computational Biology and Biotechnology Laboratory, Department of Botany, Soban Singh Jeena University, Almora, Uttarakhand, 263601, India.

出版信息

Biogerontology. 2025 Feb 5;26(2):53. doi: 10.1007/s10522-025-10188-0.

Abstract

This study investigates the impact and mechanisms of Rasayana Churna, an Ayurvedic poly-herbal formulation, in treating aging-related disorders through text mining, network pharmacology, molecular docking simulation, Super-MMPBSA, and density functional theory. The text mining of Rasayana Churna highlighted the diverse therapeutic potential of Phyllanthus emblica, Tinospora cordifolia, and Tribulus terrestris in managing aging-related disorders through their antidiabetic, antioxidant, and anti-inflammatory properties. Using network pharmacology, 17 bioactive compounds and 137 corresponding potential targets of Rasayana Churna were identified and used to construct protein-protein interaction and hub gene networks. Key targets such as AKT1, BCL2, ESR1, and GSK3B were linked to aging-related pathways, with GO and KEGG enrichment analyses highlighting processes like apoptosis, oxidative stress response, and pathways like PI3K-Akt signaling. Molecular docking analysis identified 14 compounds with strong binding affinity toward the key aging target AKT1. Three bioactive compounds-Kaempferol, N-Caffeoyltyramine, and Multifidol glucoside-exhibited superior stability and binding interactions in MD simulations, confirmed by RMSD, RMSF, Rg, hydrogen bonding, SASA, PCA, and free energy landscape analysis. Super-MMPBSA (last 30 ns) calculation was performed to analyze dynamic behavior and protein-ligand stability, revealing significantly lower ΔG binding free energy values for the three hit compounds (- 177.871, - 164.855, - 199.649 kJ/mol, respectively) compared to the AKT1-reference complex (- 109.463 kJ/mol). DFT analysis revealed favorable electronic properties and kinetic stability for these compounds. Integrating traditional Ayurvedic knowledge with computational techniques suggests Rasayana Churna could prevent and manage aging-related conditions. However, further in vitro, in vivo, and clinical studies are needed to validate its aging-modulatory potential.

摘要

本研究通过文本挖掘、网络药理学、分子对接模拟、超级MMPBSA和密度泛函理论,研究阿育吠陀多草药配方Rasayana Churna在治疗衰老相关疾病中的作用及其机制。Rasayana Churna的文本挖掘突出了余甘子、心叶青牛胆和刺蒺藜通过其抗糖尿病、抗氧化和抗炎特性在管理衰老相关疾病方面的多种治疗潜力。利用网络药理学,鉴定出Rasayana Churna的17种生物活性化合物和137个相应的潜在靶点,并用于构建蛋白质-蛋白质相互作用和枢纽基因网络。AKT1、BCL2、ESR1和GSK3B等关键靶点与衰老相关途径相关,基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析突出了凋亡、氧化应激反应等过程以及PI3K-Akt信号传导等途径。分子对接分析确定了14种对关键衰老靶点AKT1具有强结合亲和力的化合物。通过均方根偏差(RMSD)、均方根波动(RMSF)、回旋半径(Rg)、氢键、溶剂可及表面积(SASA)、主成分分析(PCA)和自由能景观分析证实,三种生物活性化合物——山奈酚、N-咖啡酰酪胺和多裂木苷——在分子动力学模拟中表现出优异的稳定性和结合相互作用。进行了超级MMPBSA(最后30纳秒)计算以分析动态行为和蛋白质-配体稳定性,结果显示与AKT1参考复合物(-109.463千焦/摩尔)相比,三种命中化合物的结合自由能ΔG值显著更低(分别为-177.871、-164.855、-199.649千焦/摩尔)。密度泛函理论分析揭示了这些化合物具有良好的电子性质和动力学稳定性。将传统阿育吠陀知识与计算技术相结合表明,Rasayana Churna可以预防和管理衰老相关疾病。然而,需要进一步的体外、体内和临床研究来验证其调节衰老的潜力。

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