Moderna, Inc., Cambridge, Massachusetts 02139, United States.
Theoretical and Computational Biophysics Group, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61820, United States.
J Phys Chem B. 2023 Aug 10;127(31):6928-6939. doi: 10.1021/acs.jpcb.3c01296. Epub 2023 Jul 27.
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 of the lipid nanoparticle = 6.56), a rationally designed and previously reported ionizable aminolipid by Moderna, on lipid bilayers [ , , 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.
含可离子化胺脂的脂质纳米颗粒(LNPs)是成功递送基于核酸的治疗药物(包括信使 RNA(mRNA))的主要平台之一。最近由 Moderna 和辉瑞/生物技术公司开发的两种获得 FDA 批准的 COVID-19 疫苗属于这一类。可离子化胺脂、胆固醇和 DSPC 脂质是这些配方的关键成分之一,它们对这些配方的物理化学性质,以及这些治疗药物的效力具有关键的调节作用。尽管这些成分很重要,但含有 mRNA 的 LNPs 中这些分子的分布情况尚不清楚。在这项研究中,我们使用全原子分子动力学(MD)模拟来研究脂质 5(脂质纳米颗粒的表观 p 值为 6.56)的分布和作用,脂质 5 是 Moderna 设计并报道的一种合理的可离子化胺脂。模拟是在脂质双层中进行的,其中一半的胺脂带电荷,另一半在 LNPs 表面的微环境中近似中性,以模拟预期的电离。在本工作中的五个模拟系统中,胆固醇的含量保持不变,而 DSPC 和脂质 5 的浓度则系统地改变。我们发现,在可离子化胺脂的浓度较高时,中性胺脂在膜内层形成无序聚集,其中优先包含胆固醇。这种脂质再分配的规则可用于合理选择脂质来优化 LNP 的功能。