Enhanced delivery of rivastigmine for Alzheimer's disease: Convolvulus pluricaulis lipid hybrid nanoparticles

IF 5.45 Q1 Physics and Astronomy

Nano-Structures & Nano-Objects Pub Date : 2024-11-09 DOI:10.1016/j.nanoso.2024.101406

Twinkle Garg , Saraswati Patel , Divya Yadav , Vivek Dave , Rakesh Yadav

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引用次数: 0

Abstract

The study investigates the formulation and characterization of polymeric lipid hybrid nanoparticles (PLHNs) for targeted delivery of Rivastigmine and Convolvulus pluricaulis (C. pluricaulis, Shankhpushpi) extract to the brain. Employing a modified film hydration technique, PLHNs were optimized by adjusting lipid-to-polymer ratios, achieving nanoparticles with optimal size, zeta potential, and entrapment efficiency. The resulting nanoparticles, with sizes between approximately 150–225 nm, exhibited excellent physical stability and encapsulation efficiencies. Characterization through transmission electron microscopy (TEM) and scanning electron microscopy (SEM) confirmed their spherical and smooth morphology. Fourier-transform infrared (FTIR) spectroscopy and differential scanning calorimetry (DSC) analyses showed no significant interactions between the drug, polymer, and plant extract, ensuring formulation stability. In vitro release studies demonstrated a controlled and sustained drug release, with the optimal formulation showing substantial release over 24 hours. The novel object recognition (NOR) test indicated enhanced cognitive function in animals treated with the optimal formulation, suggesting effective brain targeting and neuroprotective activity. Biochemical analyses supported these findings, revealing significant improvements in antioxidant enzyme levels and reductions in oxidative stress markers in treated animals. This study underscores the potential of PLHNs to enhance the delivery of neuroprotective agents, offering a promising strategy for treating neurodegenerative diseases.

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增强利伐斯的明治疗阿尔茨海默病的给药效果：卷柏脂质混合纳米颗粒

本研究探讨了聚合物脂质混合纳米粒子（PLHNs）的配方和特性，用于向大脑靶向递送利伐斯的明和旋覆花（C. pluricaulis, Shankhpushpi）提取物。采用改良的薄膜水合技术，通过调整脂质与聚合物的比例对 PLHNs 进行了优化，从而获得了具有最佳尺寸、zeta 电位和夹带效率的纳米颗粒。最终得到的纳米颗粒大小约为 150-225 nm，具有出色的物理稳定性和封装效率。透射电子显微镜（TEM）和扫描电子显微镜（SEM）的表征证实了它们的球形和光滑形态。傅立叶变换红外光谱（FTIR）和差示扫描量热法（DSC）分析表明，药物、聚合物和植物提取物之间没有明显的相互作用，确保了制剂的稳定性。体外释放研究表明，药物释放是可控和持续的，最佳配方在 24 小时内有大量释放。新物体识别（NOR）测试表明，使用最佳制剂治疗的动物认知功能增强，这表明该制剂具有有效的脑靶向性和神经保护活性。生化分析证实了这些发现，显示治疗动物的抗氧化酶水平显著提高，氧化应激标记物减少。这项研究强调了 PLHNs 在增强神经保护剂递送方面的潜力，为治疗神经退行性疾病提供了一种前景广阔的策略。

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

Nano-Structures & Nano-Objects Physics and Astronomy-Condensed Matter Physics

CiteScore

9.20

自引率

0.00%

发文量

审稿时长

22 days

期刊介绍： Nano-Structures & Nano-Objects is a new journal devoted to all aspects of the synthesis and the properties of this new flourishing domain. The journal is devoted to novel architectures at the nano-level with an emphasis on new synthesis and characterization methods. The journal is focused on the objects rather than on their applications. However, the research for new applications of original nano-structures & nano-objects in various fields such as nano-electronics, energy conversion, catalysis, drug delivery and nano-medicine is also welcome. The scope of Nano-Structures & Nano-Objects involves: -Metal and alloy nanoparticles with complex nanostructures such as shape control, core-shell and dumbells -Oxide nanoparticles and nanostructures, with complex oxide/metal, oxide/surface and oxide /organic interfaces -Inorganic semi-conducting nanoparticles (quantum dots) with an emphasis on new phases, structures, shapes and complexity -Nanostructures involving molecular inorganic species such as nanoparticles of coordination compounds, molecular magnets, spin transition nanoparticles etc. or organic nano-objects, in particular for molecular electronics -Nanostructured materials such as nano-MOFs and nano-zeolites -Hetero-junctions between molecules and nano-objects, between different nano-objects & nanostructures or between nano-objects & nanostructures and surfaces -Methods of characterization specific of the nano size or adapted for the nano size such as X-ray and neutron scattering, light scattering, NMR, Raman, Plasmonics, near field microscopies, various TEM and SEM techniques, magnetic studies, etc .