Optimization of atorvastatin and quercetin-loaded solid lipid nanoparticles using Box-Behnken design.

Nanomedicine (London, England) Pub Date : 2024-07-14 Epub Date: 2024-07-16 DOI:10.1080/17435889.2024.2364585
Dimple S Lalchandani, Laltanpuii Chenkual, Kailas Sonpasare, Bishal Rajdev, Vgm Naidu, Naveen Chella, Pawan Kumar Porwal
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Abstract

Aim: The study explores the synergistic potential of atorvastatin (ATR) and quercetin (QUER)- loaded solid lipid nanoparticles (SLN) in combating breast cancer. Materials & methods: SLNs were synthesized using a high-shear homogenization method and optimized using Box-Behnken design. The SLNs were characterized and evaluated for their in vitro anticancer activity. Results: The optimized SLN exhibited narrow size distribution (PDI = 0.338 ± 0.034), a particle size of 72.5 ± 6.5 nm, higher entrapment efficiency (<90%), sustained release and spherical surface particles. The in vitro cytotoxicity studies showed a significant reduction in IC50 values on MDA-MB-231 cell lines. Conclusion: We report a novel strategy of repurposing well-known drugs and encapsulating them into SLNs as a promising drug-delivery system against breast cancer.

利用方框-贝肯设计优化阿托伐他汀和槲皮素负载固体脂质纳米颗粒。
目的:本研究探讨了阿托伐他汀(ATR)和槲皮素(QUER)负载型固体脂质纳米颗粒(SLN)在抗击乳腺癌方面的协同潜力。材料与方法:采用高剪切匀浆法合成 SLN,并采用 Box-Behnken 设计法进行优化。对固体脂质纳米粒子进行了表征,并评估了其体外抗癌活性。结果:优化后的 SLN 粒径分布窄(PDI = 0.338 ± 0.034),粒径为 72.5 ± 6.5 nm,包埋效率更高(体外细胞毒性研究显示,MDA-MB-231 细胞系的 IC50 值显著降低)。结论我们报告了一种新的策略,即重新利用知名药物并将其封装到 SLNs 中,作为一种很有前景的抗乳腺癌给药系统。
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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