The Journal of Physical Chemistry B · 2023 · 39 citations · 61 references
PharmacyBiochemistryBiophysicsDrug DeliveryLipid BiochemistryNanoparticle Drug DeliveryLipid Bilayer StructureLipid ChemistryLipid-based NanoparticlesNanomedicineNanoparticle FormulationsNucleic Acid DeliveryAll-atom SimulationsIonizable Lipid FormulationsIonizable LipidsLipid Nanoparticle Delivery SystemsLipid NanoparticlesNucleic Acid TherapeuticsPhysicochemical PropertiesPka Values
High Resolution Image Download MS PowerPoint Slide Lipid nanoparticles (LNPs) containing ionizable aminolipids are among the leading platforms for the successful delivery of nucleic-acid-based therapeutics, including messenger RNA (mRNA). The two recently FDA-approved COVID-19 vaccines developed by Moderna and Pfizer/BioNTech belong to this category. Ionizable aminolipids, cholesterol, and DSPC lipids are among the key components of such formulations, crucially modulating physicochemical properties of these formulations and, consequently, the potency of these therapeutics. Despite the importance of these components, the distribution of these molecules in LNPs containing mRNA is not clear. In this study, we used all-atom molecular dynamics (MD) simulations to investigate the distribution and effects of the Lipid-5 (apparent p K a of the lipid nanoparticle = 6.56), a rationally designed and previously reported ionizable aminolipid by Moderna, on lipid bilayers [ Mol. Ther. 2018, 26, 1509–1519]. The simulations were conducted with half of the aminolipids charged and half neutral approximately to the expected ionization in the microenvironment of the LNP surface. In all five simulated systems in this work, the cholesterol content was kept constant, whereas the DSPC and Lipid-5 concentrations were changed systematically. We found that at higher concentrations of the ionizable aminolipids, the neutral aminolipids form a disordered aggregate in the membrane interior that preferentially includes cholesterol. The rules underlying the lipid redistribution could be used to rationally choose lipids to optimize the LNP function.
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