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The effect of nanoparticle size on the probability to cross the blood-brain barrier: an in-vitro endothelial cell model

机译:纳米颗粒尺寸对血脑屏障越突出的概率:体外内皮细胞模型

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摘要

BACKGROUND: During the last decade nanoparticles have gained attention as promising drug delivery agents that can transport through the blood brain barrier. Recently, several studies have demonstrated that specifically targeted nanoparticles which carry a large payload of therapeutic agents can effectively enhance therapeutic agent delivery to the brain. However, it is difficult to draw definite design principles across these studies, owing to the differences in material, size, shape and targeting agents of the nanoparticles. Therefore, the main objective of this study is to develop general design principles that link the size of the nanoparticle with the probability to cross the blood brain barrier. Specifically, we investigate the effect of the nanoparticle size on the probability of barbiturate coated GNPs to cross the blood brain barrier by using bEnd.3 brain endothelial cells as an in vitro blood brain barrier model. RESULTS: The results show that GNPs of size 70 nm are optimal for the maximum amount of gold within the brain cells, and that 20 nm GNPs are the optimal size for maximum free surface area. CONCLUSIONS: These findings can help understand the effect of particle size on the ability to cross the blood brain barrier through the endothelial cell model, and design nanoparticles for brain imaging/therapy contrast agents.
机译:背景:在过去十年中,纳米颗粒在有前途的药物递送剂中获得了可以通过血脑屏障运输的关注。最近,几项研究表明,携带大量治疗剂的特异性靶向纳米颗粒可以有效地增强治疗剂递送至脑。然而,由于纳米颗粒的材料,尺寸,形状和靶向剂的差异,难以在这些研究中吸引明确的设计原理。因此,本研究的主要目的是开发一般设计原则,将纳米粒子的大小与血脑屏障的概率联系起来。具体而言,我们研究纳米颗粒尺寸对巴比妥酸盐涂覆的GNP概率的影响,通过使用弯曲脑内皮细胞作为体外血脑屏障模型来交叉血脑屏障。结果:结果表明,大小为70nm的GNP对于脑细胞内最大金量的最佳金子,并且20nm GNP是最大自由表面积的最佳尺寸。结论:这些发现可以帮助了解粒度对通过内皮细胞模型交叉血脑屏障的能力的影响,以及用于脑成像/治疗造影剂的设计纳米粒子。

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