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通过共价标记质谱法对淀粉样蛋白抑制剂进行高通量筛选

High-Throughput Screening of Amyloid Inhibitors via Covalent-Labeling Mass Spectrometry.

作者信息

Khamnong Kanitin, Stahl Vanessa L, Izikson Olivia N, Devarajan Anirudh, Thayumanavan S, Vachet Richard W

机构信息

Department of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.

Molecular & Cellular Biology Program, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.

出版信息

Anal Chem. 2025 Jul 1;97(25):12989-12997. doi: 10.1021/acs.analchem.4c06418. Epub 2025 Jun 19.

Abstract

Amyloid fibril formation by proteins is implicated in numerous human diseases, yet few treatments exist in part due to the lack of robust screening methods for amyloid inhibitors. Here, we demonstrate a novel mass spectrometry (MS) assay for high-throughput screening of amyloid inhibitors, based on measuring the extent of protein labeling during protein aggregation. Amyloid formation decreases covalent labeling (CL) extents, while the presence of an inhibitor restores the extent of labeling, providing a means of identifying inhibitors. Using two different labeling reagents, α,β-unsaturated carbonyl (ABUC) and diethylpyrocarbonate (DEPC), and insulin and β2-microglobulin (β2m) as model amyloid proteins, we show that the CL-MS assay can probe protein amyloid formation and its inhibition by a wide range of compounds, with validation achieved by comparisons to traditional fluorescence and light scattering techniques. In proof-of-concept screens, several new inhibitors are identified for both proteins and further verified for their ability to fully prevent aggregation. Overall, our CL-MS assay offers fewer false positives than conventional methods and is compatible with high-throughput screening, achieving rates of >10 compounds per minute using matrix-assisted laser desorption/ionization (MALDI)-MS as a readout.

摘要

蛋白质形成淀粉样纤维与多种人类疾病相关,但由于缺乏针对淀粉样蛋白抑制剂的可靠筛选方法,目前可用的治疗方法很少。在此,我们展示了一种基于测量蛋白质聚集过程中蛋白质标记程度的新型质谱(MS)分析法,用于高通量筛选淀粉样蛋白抑制剂。淀粉样蛋白的形成会降低共价标记(CL)程度,而抑制剂的存在会恢复标记程度,从而提供一种识别抑制剂的方法。使用两种不同的标记试剂,α,β-不饱和羰基(ABUC)和焦碳酸二乙酯(DEPC),以及胰岛素和β2-微球蛋白(β2m)作为淀粉样蛋白模型,我们表明CL-MS分析法可以检测蛋白质淀粉样蛋白的形成及其被多种化合物抑制的情况,并通过与传统荧光和光散射技术的比较进行了验证。在概念验证筛选中,我们为这两种蛋白质鉴定了几种新的抑制剂,并进一步验证了它们完全阻止聚集的能力。总体而言,我们的CL-MS分析法比传统方法产生的假阳性更少,并且与高通量筛选兼容,以基质辅助激光解吸/电离(MALDI)-MS作为读出方式时,实现了每分钟筛选>10种化合物的速率。

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