球形
分散性
纳米颗粒
纳米技术
化学
Zeta电位
生物物理学
材料科学
生物
高分子化学
复合材料
作者
Marshall S. Padilla,Sarah J. Shepherd,Andrew R. Hanna,Martin Kurnik,Xujun Zhang,Michelle Chen,James Byrnes,Ryann A. Joseph,Hannah M. Yamagata,Adele S. Ricciardi,Kaitlin Mrksich,David Issadore,Kushol Gupta,Michael J. Mitchell
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2024-12-22
被引量:5
标识
DOI:10.1101/2024.12.19.629496
摘要
Designing lipid nanoparticle (LNP) delivery systems with specific targeting, potency and minimal side effects is crucial for their clinical use. However, traditional characterization methods, such as dynamic light scattering, cannot accurately quantify physicochemical properties of LNPs and how they are influenced by the lipid composition and mixing method. Here we structurally characterize polydisperse LNP formulations by applying emerging solution-based biophysical methods that have higher resolution and provide biophysical data beyond size and polydispersity. These techniques include sedimentation velocity analytical ultracentrifugation, field-flow fractionation followed by multi-angle light scattering, and size-exclusion chromatography in-line with synchrotron small-angle X-ray scattering. We show that LNPs have intrinsic polydispersity in size, RNA loading, and shape, which depends on both the formulation technique and lipid composition. Lastly, we predict LNP transfection in vitro and in vivo by examining the relationship between mRNA translation and physicochemical characteristics. Solution-based biophysical methods will be essential for determining LNP structure-function relationships, facilitating the creation of new design rules for LNPs.
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