Steinegger Katharina M, Allmendinger Lars, Sturm Sebastian, Sieber-Schäfer Felix, Kromer Adrian P E, Müller-Caspary Knut, Winkeljann Benjamin, Merkel Olivia M
Department of Pharmacy, Ludwig-Maximilians-University Munich, 81377 Munich, Germany.
Department of Chemistry, Ludwig-Maximilians-University Munich, 81377 Munich, Germany.
Nano Lett. 2024 Dec 11;24(49):15683-15692. doi: 10.1021/acs.nanolett.4c04291. Epub 2024 Nov 26.
Cationic polymers are known to efficiently deliver nucleic acids to target cells by encapsulating the cargo into nanoparticles. However, the molecular organization of these nanoparticles is often not fully explored. Yet, this information is crucial to understand complex particle systems and the role influencing factors play at later stages of drug development. Coarse-grained molecular dynamics (CG-MD) enables modeling of systems that are the size of real nanoparticles, providing meaningful insights into molecular interactions between polymers and nucleic acids. Herein, the particle assembly of variations of an amphiphilic poly(beta-amino ester) (PBAE) with siRNA was simulated to investigate the influence of factors such as polymer lipophilicity and buffer conditions on the nanoparticle structure. Simulations were validated by wet lab methods including nuclear magnetic resonance (NMR) and align well with experimental findings. Therefore, this work emphasizes that CG-MD simulations can provide underlying explanations of experimentally observed nanoparticle properties by visualizing the nanoscale structure of polyplexes.
已知阳离子聚合物通过将货物包裹到纳米颗粒中,能有效地将核酸递送至靶细胞。然而,这些纳米颗粒的分子组织常常未得到充分探索。不过,此信息对于理解复杂的颗粒系统以及影响因素在药物研发后期所起的作用至关重要。粗粒度分子动力学(CG-MD)能够对实际纳米颗粒大小的系统进行建模,从而为聚合物与核酸之间的分子相互作用提供有意义的见解。在此,对两亲性聚(β-氨基酯)(PBAE)与小干扰RNA(siRNA)变体的颗粒组装进行了模拟,以研究诸如聚合物亲脂性和缓冲条件等因素对纳米颗粒结构的影响。模拟通过包括核磁共振(NMR)在内的湿实验室方法进行了验证,并且与实验结果吻合良好。因此,这项工作强调CG-MD模拟能够通过可视化多聚体的纳米级结构,为实验观察到的纳米颗粒性质提供潜在解释。