Wilhelm-Ostwald-Institute for Physical and Theoretical Chemistry, Leipzig University, Linnéstraße 3, 04103, Leipzig, Germany.
School of Chemistry, Monash University, Clayton, Victoria, 3800, Australia.
Macromol Biosci. 2023 Jun;23(6):e2200576. doi: 10.1002/mabi.202200576. Epub 2023 Mar 10.
Peptides and proteins are exposed to a variety of interfaces in a physiological environment, such as cell membranes, protein nanoparticles (NPs), or viruses. These interfaces have a significant impact on the interaction, self-assembly, and aggregation mechanisms of biomolecular systems. Peptide self-assembly, particularly amyloid fibril formation, is associated with a wide range of functions; however, there is a link with neurodegenerative diseases, such as Alzheimer's disease. This review highlights how interfaces affect peptide structure and the kinetics of aggregation leading to fibril formation. In nature, many surfaces are nanostructures, such as liposomes, viruses, or synthetic NPs. Once exposed to a biological medium, nanostructures are coated with a corona, which then determines their activity. Both accelerating and inhibiting effects on peptide self-assembly have been observed. When amyloid peptides adsorb to a surface, they typically concentrate locally, which promotes aggregation into insoluble fibrils. Starting from a combined experimental and theoretical approach, models that allow for a better understanding of peptide self-assembly near hard and soft matter interfaces are introduced and reviewed. Research results from recent years are presented and relationships between biological interfaces, such as membranes and viruses, and amyloid fibril formation are proposed.
肽和蛋白质在生理环境中会暴露于多种界面,如细胞膜、蛋白质纳米颗粒(NPs)或病毒。这些界面对生物分子系统的相互作用、自组装和聚集机制有重大影响。肽的自组装,特别是淀粉样纤维的形成,与广泛的功能有关;然而,它与神经退行性疾病(如阿尔茨海默病)有关。这篇综述强调了界面如何影响肽结构以及导致纤维形成的聚集动力学。在自然界中,许多表面是纳米结构,如脂质体、病毒或合成的 NPs。一旦暴露于生物介质中,纳米结构就会被冠层覆盖,从而决定其活性。人们观察到对肽自组装的加速和抑制作用。当淀粉样肽吸附到表面时,它们通常会在局部聚集,从而促进不溶性纤维的聚集。本文从实验和理论相结合的方法出发,介绍并综述了能够更好地理解硬物质和软物质界面附近肽自组装的模型。呈现了近年来的研究成果,并提出了生物界面(如膜和病毒)与淀粉样纤维形成之间的关系。