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用于生物医学应用的混合脂质-纳米粒子复合物。

Hybrid lipid-nanoparticle complexes for biomedical applications.

机构信息

Department of Chemistry & Biochemistry, California State University Long Beach, Long Beach, California 90840-9507, USA.

出版信息

J Mater Chem B. 2019 Feb 7;7(5):695-708. doi: 10.1039/C8TB03084G. Epub 2019 Jan 3.

DOI:10.1039/C8TB03084G
PMID:30740226
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6363351/
Abstract

Biomolecule-nanoparticle hybrids have proven to be one of most promising frontiers in biomedical research. In recent years, there has been an increased focus on the development of hybrid lipid-nanoparticle complexes (HLNCs) which inherit unique properties of both the inorganic nanoparticles and the lipid assemblies (i.e. liposomes, lipoproteins, solid lipid nanoparticles, and nanoemulsions) that comprise them. In combination of their component parts, HLNCs also gain new functionalities which are utilized for numerous biomedical applications (i.e. stimuli-triggered drug release, photothermal therapy, and bioimaging). The localization of nanoparticles within the lipid assemblies largely dictates the attributes and functionalities of the hybrid complexes and are classified as such: (i) liposomes with surface-bound nanoparticles, (ii) liposomes with bilayer-embedded nanoparticles, (iii) liposomes with core-encapsulated nanoparticles, (iv) lipid assemblies with hydrophobic core-encapsulated nanoparticles, and (v) lipid bilayer-coated nanoparticles. Herein, we review the properties of each hybrid and the rational design of HLNCs for biomedical applications as reported by recent investigations. Future directions in advancing and expanding the scope of HLNCs are also proposed.

摘要

生物分子-纳米粒子杂化体已被证明是生物医学研究中最有前途的前沿领域之一。近年来,人们越来越关注混合脂质-纳米粒子复合物(HLNCs)的开发,这些复合物继承了无机纳米粒子和脂质组装体(即脂质体、脂蛋白、固体脂质纳米粒子和纳米乳液)的独特性质。通过它们的组成部分的结合,HLNCs 还获得了用于许多生物医学应用的新功能(即刺激触发药物释放、光热疗法和生物成像)。纳米粒子在脂质组装体内的定位在很大程度上决定了杂化复合物的属性和功能,并分类如下:(i)表面结合纳米粒子的脂质体,(ii)双层嵌入纳米粒子的脂质体,(iii)核心包封纳米粒子的脂质体,(iv)具有疏水性核心包封纳米粒子的脂质组装体,以及(v)脂质双层包覆的纳米粒子。在此,我们综述了每种杂化体的性质以及最近研究报道的用于生物医学应用的 HLNCs 的合理设计。还提出了推进和扩展 HLNCs 范围的未来方向。

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