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

This study aimed to assess the applicability of solution-state 1H NMR for characterizing siRNA-loaded lipid nanoparticles (LNP) at the molecular level. 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 relatively 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.

Molecular-Level Structural Analysis of siRNA-Loaded Lipid Nanoparticles by 1H NMR Relaxometry: Impact of Lipid Composition on Their Structural Properties.

1H NMR relaxometry was applied for molecular-level structural analysis of siRNA-loaded lipid nanoparticles (LNPs) to clarify the impact of the neutral lipids, 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC) and cholesterol, on the physicochemical properties of LNP. Incorporating DSPC and cholesterol in ionizable lipid-based LNP decreased the molecular mobility of ionizable lipids. DSPC reduced the overall molecular mobility of ionizable lipids, while cholesterol specifically decreased the mobility of the hydrophobic tails of ionizable lipids, suggesting that cholesterol filled the gap between the hydrophobic tails of ionizable lipids. The decrease in molecular mobility and change in orientation of lipid mixtures contributed to the maintenance of the stacked bilayer structure of siRNA and ionizable lipids, thereby increasing the siRNA encapsulation efficiency. Furthermore, NMR relaxometry revealed that incorporating those neutral lipids enhanced PEG chain flexibility at the LNP interface. Notably, a small amount of DSPC effectively increased PEG chain flexibility, possibly contributing to the improved dispersion stability and narrower size distribution of LNPs. However, cryogenic transmission electron microscopy represented that adding excess amounts of DSPC and cholesterol into LNP resulted in the formation of deformed particles and demixing cholesterol within the LNP, respectively. The optimal lipid composition of ionizable lipid-based LNPs in terms of siRNA encapsulation efficiency and PEG chain flexibility was rationalized based on the molecular-level characterization of LNPs. Moreover, the NMR relaxation rate of tertiary amine protons of ionizable lipids, which are the interaction site with siRNA, can be a valuable indicator of the encapsulated amount of siRNA within LNPs. Thus, NMR-based analysis can be a powerful tool for efficiently designing LNP formulations and their quality control based on the molecular-level elucidation of the physicochemical properties of LNPs.