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通过空间分辨荧光和单分子显微镜监测的异质和表面催化淀粉样蛋白聚集

Heterogeneous and Surface-Catalyzed Amyloid Aggregation Monitored by Spatially Resolved Fluorescence and Single Molecule Microscopy.

作者信息

Zhou Xin, Sinkjær Anders Wilgaard, Zhang Min, Pinholt Henrik Dahl, Nielsen Hanne Mørck, Hatzakis Nikos S, van de Weert Marco, Foderà Vito

机构信息

Drug Delivery and Biophysics of Biopharmaceuticals and Center for Biopharmaceuticals and Biobarriers in Drug Delivery (BioDelivery), Department of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.

Department of Chemistry, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark.

出版信息

J Phys Chem Lett. 2023 Feb 2;14(4):912-919. doi: 10.1021/acs.jpclett.2c03400. Epub 2023 Jan 20.

Abstract

Amyloid aggregation is associated with many diseases and may also occur in therapeutic protein formulations. Addition of co-solutes is a key strategy to modulate the stability of proteins in pharmaceutical formulations and select inhibitors for drug design in the context of diseases. However, the heterogeneous nature of this multicomponent system in terms of structures and mechanisms poses a number of challenges for the analysis of the chemical reaction. Using insulin as protein system and polysorbate 80 as co-solute, we combine a spatially resolved fluorescence approach with single molecule microscopy and machine learning methods to kinetically disentangle the different contributions from multiple species within a single aggregation experiment. We link the presence of interfaces to the degree of heterogeneity of the aggregation kinetics and retrieve the rate constants and underlying mechanisms for single aggregation events. Importantly, we report that the mechanism of inhibition of the self-assembly process depends on the details of the growth pathways of otherwise macroscopically identical species. This information can only be accessed by the analysis of single aggregate events, suggesting our method as a general tool for a comprehensive physicochemical characterization of self-assembly reactions.

摘要

淀粉样蛋白聚集与多种疾病相关,也可能发生在治疗性蛋白质制剂中。添加共溶质是调节药物制剂中蛋白质稳定性以及在疾病背景下选择药物设计抑制剂的关键策略。然而,这种多组分系统在结构和机制方面的异质性给化学反应分析带来了诸多挑战。以胰岛素为蛋白质体系、聚山梨酯80为共溶质,我们将空间分辨荧光方法与单分子显微镜和机器学习方法相结合,在单个聚集实验中从动力学上厘清多种物种的不同贡献。我们将界面的存在与聚集动力学的异质性程度联系起来,并获取单个聚集事件的速率常数和潜在机制。重要的是,我们报告了自组装过程的抑制机制取决于其他宏观上相同物种生长途径的细节。这些信息只能通过分析单个聚集事件来获取,这表明我们的方法是对自组装反应进行全面物理化学表征的通用工具。

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