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载药纳米颗粒在蛋白冠存在下的递送成功率:系统级筛选。

Delivery success rate of engineered nanoparticles in the presence of the protein corona: a systems-level screening.

机构信息

Department of Life Sciences and Reproduction, Section of Biological Chemistry, University of Verona, Verona, Italy.

出版信息

Nanomedicine. 2012 Nov;8(8):1271-81. doi: 10.1016/j.nano.2012.02.006. Epub 2012 Feb 24.

Abstract

UNLABELLED

Nanoparticles (NPs) for medical applications are often introduced into the body via intravenous injections, leading to the formation of a protein corona on their surface due to the interaction with blood plasma proteins. Depending on its composition and time evolution, the corona will modify the biological behavior of the particle. For successful delivery and targeting, it is therefore important to assess on a quantitative basis how and to what extent the presence of the corona perturbs the specific interaction of a designed NP with its cellular target. We present a theoretical systems-level analysis, in which peptides have been covalently coupled to the surface of nanoparticles, describing the delivery success rate in varying conditions, with regard to protein composition of the surrounding fluid. Dynamic modeling and parameter sensitivity analysis proved to be useful and computationally affordable tools to aid in the design of NPs with increased success rate probability in a biological context.

FROM THE CLINICAL EDITOR

The formation of a protein corona consisting of blood plasma proteins on the surface of intravenously delivered nanoparticles may modify the biological behavior of the particles. This team of investigators present a theoretical systems-level analysis of this important and often neglected phenomenon.

摘要

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用于医疗应用的纳米粒子(NPs)通常通过静脉注射引入体内,由于与血浆蛋白的相互作用,在其表面形成蛋白质冠。根据其组成和时间演变,冠层会改变颗粒的生物学行为。为了成功传递和靶向,因此,重要的是要定量评估冠层在何种程度上干扰了设计的 NP 与其细胞靶标的特定相互作用。我们提出了一种理论系统水平分析,其中肽已共价偶联到纳米颗粒的表面,描述了在不同条件下,根据周围流体的蛋白质组成,递药成功率。动态建模和参数敏感性分析被证明是有用的和计算上负担得起的工具,有助于设计在生物学背景下具有更高传递成功率概率的 NP。

来自临床编辑

在静脉内输送的纳米粒子表面上形成由血浆蛋白组成的蛋白质冠可能会改变颗粒的生物学行为。该研究小组对这一重要且经常被忽视的现象进行了理论系统水平分析。

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