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哪种脂质纳米颗粒(LNP)有效?将 LNP 化学结构与体内递送性能相关联的简单动力学模型。

Which Lipid Nanoparticle (LNP) Designs Work? A Simple Kinetic Model Linking LNP Chemical Structure to In Vivo Delivery Performance.

机构信息

Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States.

Department of Biomedical Engineering, University of Delaware, Newark, Delaware 19716, United States.

出版信息

ACS Appl Mater Interfaces. 2024 Mar 20;16(11):13399-13410. doi: 10.1021/acsami.3c15424. Epub 2024 Mar 11.

Abstract

Although lipid nanoparticles (LNPs) are the predominant nanocarriers for short-interfering RNA (siRNA) delivery, most therapies use nearly identical formulations that have taken 30 years to design but lack the diverse property ranges necessary for versatile application. This dearth in variety and the extended timeline for implementation are attributed to a limited understanding of how LNP properties facilitate overcoming biological barriers. Herein, a simple kinetic model was developed by using major rate-limiting steps for siRNA delivery, and this model enabled the identification of a critical parameter to predict LNP efficacy without extensive experimental testing. A volume-averaged log , the "solubility" of charged molecules as a function of pH weighted by component volume fractions, resulted in a good correlation between LNP composition and siRNA delivery. Both the effects of modifying the structures of ionizable lipids and LNP composition on gene silencing were easily captured in the model predictions. Thus, this approach provides a robust LNP structure-activity relationship to dramatically accelerate the realization of effective LNP formulations.

摘要

尽管脂质纳米颗粒(LNPs)是短干扰 RNA(siRNA)递呈的主要纳米载体,但大多数疗法都使用了近 30 年时间设计但缺乏多功能应用所需的多样化特性的几乎相同的配方。这种缺乏多样性和实施时间延长归因于对 LNP 特性如何促进克服生物屏障的理解有限。在此,通过使用 siRNA 递呈的主要限速步骤开发了一个简单的动力学模型,该模型可用于确定一个关键参数,而无需进行广泛的实验测试即可预测 LNP 的功效。体积平均对数,即“溶解度”,作为 pH 的函数,其权重为组分体积分数,这导致 LNP 组成与 siRNA 递呈之间具有良好的相关性。模型预测很容易捕捉到修饰可离子化脂质和 LNP 组成对基因沉默的影响。因此,这种方法提供了一种稳健的 LNP 结构-活性关系,可以大大加快有效的 LNP 制剂的实现。

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