Xing Yanting, Nandakumar Aparna, Kakinen Aleksandr, Sun Yunxiang, Davis Thomas P, Ke Pu Chun, Ding Feng
Department of Physics and Astronomy, Clemson University, Clemson 29634, South Carolina, United States.
ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville 3052, VIC, Australia.
J Phys Chem Lett. 2021 Jan 14;12(1):368-378. doi: 10.1021/acs.jpclett.0c02567. Epub 2020 Dec 24.
Increasing experiments suggest that amyloid peptides can undergo liquid-liquid phase separation (LLPS) before the formation of amyloid fibrils. However, the exact role of LLPS in amyloid aggregation at the molecular level remains elusive. Here, we investigated the LLPS and amyloid fibrillization of a coarse-grained peptide, capable of capturing fundamental properties of amyloid aggregation over a wide range of concentrations in molecular dynamics simulations. On the basis of the Flory-Huggins theory of polymer solutions, we determined the binodal and spinodal concentrations of LLPS in the low-concentration regime, ϕ and ϕ, respectively. Only at concentrations above ϕ, peptides formed metastable or stable oligomers corresponding to the high-density liquid phase (HDLP) in LLPS, out of which the nucleated conformational conversion to fibril seeds occurred. Below ϕ, the HDLP was metastable and transient, and the subsequent fibrillization process followed the traditional nucleation and elongation mechanisms. Only above ϕ, the HDLP became stable, and the initial fibril nucleation and growth were governed by the high local peptide concentrations. The predicted saturation of amyloid aggregation half-times with increasing peptide concentration to a constant, instead of the traditional power-law scaling to zero, was confirmed by simulations and by a thioflavin-T kinetic assay and the transmission electron microscopy of islet amyloid polypeptide (IAPP) aggregation. Our study provides a unified picture of amyloid aggregation for a wide range of concentrations within the framework of LLPS, which may help us better understand the etiology of amyloid diseases, where the amyloid protein concentration can vary by ∼9 orders of magnitude depending on the organ location and facilitate the engineering of novel amyloid-based functional materials.
越来越多的实验表明,淀粉样肽在淀粉样纤维形成之前可经历液-液相分离(LLPS)。然而,LLPS在分子水平上对淀粉样聚集的确切作用仍不清楚。在此,我们研究了一种粗粒度肽的LLPS和淀粉样纤维化,该肽能够在分子动力学模拟中在广泛的浓度范围内捕捉淀粉样聚集的基本特性。基于聚合物溶液的弗洛里-哈金斯理论,我们分别确定了低浓度区域LLPS的双节线浓度和旋节线浓度,即ϕ和ϕ。仅在高于ϕ的浓度下,肽形成对应于LLPS中高密度液相(HDLP)的亚稳态或稳定寡聚体,其中发生向纤维种子的成核构象转变。在ϕ以下,HDLP是亚稳态和短暂的,随后的纤维化过程遵循传统的成核和伸长机制。仅在高于ϕ时,HDLP变得稳定,并由高局部肽浓度控制初始纤维成核和生长。通过模拟、硫黄素-T动力学测定以及胰岛淀粉样多肽(IAPP)聚集的透射电子显微镜证实,随着肽浓度增加至恒定值,淀粉样聚集半衰期的预测饱和度,而不是传统的幂律标度至零。我们的研究在LLPS框架内提供了广泛浓度范围内淀粉样聚集的统一图景,这可能有助于我们更好地理解淀粉样疾病的病因,其中淀粉样蛋白浓度可根据器官位置变化约9个数量级,并有助于新型淀粉样基功能材料的工程设计。