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通过泰勒分散分析揭示β-淀粉样肽在聚集过程中的分相。

Unraveling the Speciation of β-Amyloid Peptides during the Aggregation Process by Taylor Dispersion Analysis.

机构信息

IBMM, ENSCM, Université Montpellier, CNRS, 34095 Montpellier, France.

Laboratoire Charles Coulomb (L2C), Université Montpellier, CNRS, 34095 Montpellier, France.

出版信息

Anal Chem. 2021 Apr 27;93(16):6523-6533. doi: 10.1021/acs.analchem.1c00527. Epub 2021 Apr 14.

Abstract

Aggregation mechanisms of amyloid β peptides depend on multiple intrinsic and extrinsic physicochemical factors (e.g., peptide chain length, truncation, peptide concentration, pH, ionic strength, temperature, metal concentration, etc.). Due to this high number of parameters, the formation of oligomers and their propensity to aggregate make the elucidation of this physiopathological mechanism a challenging task. From the analytical point of view, up to our knowledge, few techniques are able to quantify, in real time, the proportion and the size of the different soluble species during the aggregation process. This work aims at demonstrating the efficacy of the modern Taylor dispersion analysis (TDA) performed in capillaries (50 μm i.d.) to unravel the speciation of β-amyloid peptides in low-volume peptide samples (∼100 μL) with an analysis time of ∼3 min per run. TDA was applied to study the aggregation process of Aβ(1-40) and Aβ(1-42) peptides at physiological pH and temperature, where more than 140 data points were generated with a total volume of ∼1 μL over the whole aggregation study (about 0.5 μg of peptides). TDA was able to give a complete and quantitative picture of the Aβ speciation during the aggregation process, including the sizing of the oligomers and protofibrils, the consumption of the monomer, and the quantification of different early- and late-formed aggregated species.

摘要

淀粉样β肽的聚集机制取决于多种内在和外在的物理化学因素(例如,肽链长度、截断、肽浓度、pH 值、离子强度、温度、金属浓度等)。由于参数众多,寡聚物的形成及其聚集倾向使得阐明这种生理病理机制成为一项具有挑战性的任务。就分析而言,据我们所知,很少有技术能够实时定量测定聚集过程中不同可溶性物质的比例和大小。本工作旨在证明现代泰勒分散分析(TDA)在毛细管(50μm i.d.)中的有效性,以揭示低体积肽样品(约 100μL)中β-淀粉样肽的形态,分析时间约为每次运行 3 分钟。TDA 应用于研究 Aβ(1-40)和 Aβ(1-42)肽在生理 pH 值和温度下的聚集过程,在整个聚集研究过程中(约 0.5μg 肽),总共生成了超过 140 个数据点,总体积约为 1μL。TDA 能够全面定量地描述聚集过程中 Aβ 的形态,包括寡聚物和原纤维的大小、单体的消耗以及不同早期和晚期形成的聚集物质的定量。

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