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用于RNA递送的脂质纳米颗粒的前景。

A perspective of lipid nanoparticles for RNA delivery.

作者信息

Ma Yutian, Li Shiyao, Lin Xin, Chen Yupeng

机构信息

Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy University of North Carolina at Chapel Hill Chapel Hill North Carolina USA.

School of Science RMIT University Bundoora Victoria Australia.

出版信息

Exploration (Beijing). 2024 Apr 15;4(6):20230147. doi: 10.1002/EXP.20230147. eCollection 2024 Dec.

Abstract

Over the last two decades, lipid nanoparticles (LNPs) have evolved as an effective biocompatible and biodegradable RNA delivery platform in the fields of nanomedicine, biotechnology, and drug delivery. They are novel bionanomaterials that can be used to encapsulate a wide range of biomolecules, such as mRNA, as demonstrated by the current successes of COVID-19 mRNA vaccines. Therefore, it is important to provide a perspective on LNPs for RNA delivery, which further offers useful guidance for researchers who want to work in the RNA-based LNP field. This perspective first summarizes the approaches for the preparation of LNPs, followed by the introduction of the key characterization parameters. Then, the in vitro cell experiments to study LNP performance, including cell selection, cell viability, cellular association/uptake, endosomal escape, and their efficacy, were summarized. Finally, the in vivo animal experiments in the aspects of animal selection, administration, dosing and safety, and their therapeutic efficacy were discussed. The authors hope this perspective can offer valuable guidance to researchers who enter the field of RNA-based LNPs and help them understand the crucial parameters that RNA-based LNPs demand.

摘要

在过去二十年中,脂质纳米颗粒(LNPs)已发展成为纳米医学、生物技术和药物递送领域中一种有效的生物相容性和可生物降解的RNA递送平台。它们是新型生物纳米材料,可用于封装多种生物分子,如mRNA,新冠病毒mRNA疫苗目前的成功就证明了这一点。因此,有必要对用于RNA递送的LNPs进行综述,这也能为想要投身基于RNA的LNP领域的研究人员提供有益指导。本综述首先总结了LNPs的制备方法,接着介绍了关键表征参数。然后,总结了用于研究LNP性能的体外细胞实验,包括细胞选择、细胞活力、细胞结合/摄取、内体逃逸及其功效。最后,讨论了在动物选择、给药、剂量和安全性以及治疗效果等方面的体内动物实验。作者希望本综述能为进入基于RNA的LNPs领域的研究人员提供有价值的指导,并帮助他们了解基于RNA的LNPs所需的关键参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5a6/11655307/b1c0084670a5/EXP2-4-20230147-g004.jpg

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