Chaperone-Driven Entropic Separation of Amyloid Nanofilament Bundles

IF 15.7 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Physical Review X Pub Date : 2025-02-24 DOI:10.1103/physrevx.15.011041
Jose M. G. Vilar, J. Miguel Rubi, Leonor Saiz
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Abstract

The disassembly of misfolded protein aggregates is a requirement for the proper functioning of cells. It has implications in multiple neuropathologies, such as Alzheimer’s and Parkinson’s diseases. The active unbundling of fibrillar aggregates has recently been identified as a key rate-limiting step in the disassembly process. However, the nature of the underlying molecular mechanism remains an outstanding question. Here, we develop a coarse-grained computational approach from the atomistic structural information and show that the interactions of molecules tethered to fibrils lead to entropic forces consistent with the unbundling process observed in amyloid α-synuclein disaggregation by Hsp70. We uncover two main types of entropic effects, categorized as intraprotofilament and interprotofilament, which are differentially affected by the system parameters and conditions. Our results show that only highly efficient chaperone systems can overcome the free-energy cost of the lateral association between two protofilaments. Through the analysis of cryoelectron tomography and high-speed atomic force microscopy data, we find that the conditions for highly efficient entropic force generation are those typically achieved with cochaperone networks and ATP hydrolysis, which require energy expenditure but do not provide an enthalpic component to the separation force. We highlight the implications of these results for the design of targeted therapies for the underlying neuropathologies. Published by the American Physical Society 2025
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淀粉样蛋白纳米丝束的伴侣驱动熵分离
错误折叠的蛋白质聚集体的解体是细胞正常运作的必要条件。它对多种神经病理有影响,如阿尔茨海默病和帕金森病。纤维聚集体的主动解捆最近被确定为分解过程中的关键限速步骤。然而,潜在的分子机制的性质仍然是一个悬而未决的问题。在这里,我们从原子结构信息中开发了一种粗粒度的计算方法,并表明拴在原纤维上的分子相互作用导致的熵力与Hsp70在淀粉样蛋白α-突触核蛋白分解中观察到的解束过程一致。我们发现了两种主要类型的熵效应,被分类为原丝内和原丝间,它们受到系统参数和条件的不同影响。我们的研究结果表明,只有高效的伴侣系统才能克服两个原丝之间横向结合的自由能成本。通过对低温电子断层扫描和高速原子力显微镜数据的分析,我们发现高效的熵力产生的条件通常是通过合作伙伴网络和ATP水解实现的,这些条件需要能量消耗,但不提供分离力的焓分量。我们强调这些结果对设计针对潜在神经病变的靶向治疗的意义。2025年由美国物理学会出版
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来源期刊
Physical Review X
Physical Review X PHYSICS, MULTIDISCIPLINARY-
CiteScore
24.60
自引率
1.60%
发文量
197
审稿时长
3 months
期刊介绍: Physical Review X (PRX) stands as an exclusively online, fully open-access journal, emphasizing innovation, quality, and enduring impact in the scientific content it disseminates. Devoted to showcasing a curated selection of papers from pure, applied, and interdisciplinary physics, PRX aims to feature work with the potential to shape current and future research while leaving a lasting and profound impact in their respective fields. Encompassing the entire spectrum of physics subject areas, PRX places a special focus on groundbreaking interdisciplinary research with broad-reaching influence.
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