电流(流体)
风险分析(工程)
效力
计算机科学
业务
组分(热力学)
医学
工作(物理)
集合(抽象数据类型)
订单(交换)
作者
Chloé Muzard,Johanne Séguin,Jonathan Bonnefoy,Nahla Salkini,Vincent Serra,Khair Alhareth,Katia Lemdani,Nathalie Mignet
出处
期刊:In vitro models
[Springer Nature]
日期:2025-11-24
卷期号:4 (3-4): 177-194
被引量:2
标识
DOI:10.1007/s44164-025-00096-5
摘要
Over the last few years, the success of COVID-19 mRNA vaccines has resulted in the emergence of RNA lipid nanoparticles (LNPs) with promising prospects for the prevention and treatment of various diseases. The context of the SARS-CoV-2 pandemic has led to the rapid development of vaccines with abbreviated non-clinical programs. However, there are currently no official guidelines defining the required standards for global marketing of mRNA based therapeutic products. Nevertheless, to guarantee a well-controlled product, it is essential to characterize both the drug substance and the final product in terms of their structure, composition, formulation, physico-chemical features, potency, and safety. This lack of guidance has resulted in a wide variety of heterogeneous in vitro tests being used to assess the potency and cytotoxicity of RNA-LNP. This review discusses the commonly used in vitro assays, primarily 2D monolayer assays, employed to evaluate the biological properties of RNA-LNP. We then explore novel alternative methods to bridge the gap between in vitro and in vivo results. We summarize (i) co-culture models, (ii) multilayer 3D assays and (iii) in vivo replacement models, exploring their potential applications in assessing the potency and safety of RNA-LNPs. Finally, we discuss the use of in silico and machine learning as models for optimizing and predicting the biological behavior of RNA-LNPs.
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