NMR-based analysis of impact of siRNA mixing conditions on internal structure of siRNA-loaded LNP

Abstract

This study aimed to assess the applicability of solution-state ¹H NMR for molecular-level characterization of siRNA-loaded lipid nanoparticles (LNP). Dilinoleylmethyl-4-dimethylaminobutyrate (DLin-MC3-DMA, MC3) was used as an ionizable lipid, and siRNA-loaded LNPs were prepared by pre-mixing and post-mixing methods. The pre-mixing method involved mixing an acidic solution containing siRNA with an ethanolic lipid solution using a microfluidic mixer. The pre-mixed LNP was prepared by dialyzing the mixed solution into the phosphate buffered saline (PBS, pH 7.4). The post-mixed LNP was prepared by mixing the siRNA solution with empty LNP in an acidic condition with and without ethanol, resulting in post-mixed LNP (A) and (B), respectively. Both pre-mixed and post-mixed LNPs formed LNP particles with an average diameter of approximately 50 nm. Moreover, the ratio of encapsulated siRNA to lipid content in each LNP particle remained constant regardless of the preparation method. However, small-angle X-ray scattering measurements indicated structural variations in the siRNA-MC3 stacked bilayer structure formed in the LNPs, depending on the preparation method. Solution-state ¹H NMR analysis suggested that the siRNA was incorporated uniformly into the LNP core for pre-mixed LNP compared to post-mixed LNPs. In contrast, the post-mixed LNPs contained siRNA-empty regions with local enrichment of siRNA in the LNP core. This heterogeneity was more pronounced in post-mixed LNP (B) than in post-mixed LNP (A), suggesting that ethanol facilitated the homogeneous mixing of siRNA with LNP lipids. The silencing effect of each siRNA-loaded LNP was reduced in the order of pre-mixed LNP, post-mixed LNP (A), and post-mixed LNP (B). This suggested that the heterogeneity of the siRNA-loaded LNP could cause a reduction in the silencing effect of the incorporated siRNA inside LNPs. The present study highlighted that NMR-based characterization of siRNA-loaded LNP can reveal the molecular-level heterogeneity of siRNA-loaded LNP, which helps to optimize the preparation conditions of siRNA-loaded LNP formulations.