Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.
Institut François Jacob (MIRCen), CEA, CNRS, University Paris-Saclay, 18 Route du Panorama, 92260 Fontenay-aux-Roses, France.
ACS Chem Neurosci. 2024 May 15;15(10):2080-2088. doi: 10.1021/acschemneuro.4c00178. Epub 2024 May 1.
Amyloid fibrils are characteristic of many neurodegenerative diseases, including Alzheimer's and Parkinson's diseases. While different diseases may have fibrils formed of the same protein, the supramolecular morphology of these fibrils is disease-specific. Here, a method is reported to distinguish eight morphologically distinct amyloid fibrils based on differences in ligand binding properties. Eight fibrillar polymorphs of α-synuclein (αSyn) were investigated: five generated de novo using recombinant αSyn and three generated using protein misfolding cyclic amplification (PMCA) of recombinant αSyn seeded with brain homogenates from deceased patients diagnosed with Parkinson's disease (PD), multiple system atrophy (MSA), and dementia with Lewy bodies (DLB). Fluorescence binding assays were carried out for each fibril using a toolkit of six different ligands. The fibril samples were separated into five categories based on a binary classification of whether they bound specific ligands or not. Quantitative binding measurements then allowed every fibrillar polymorph to be uniquely identified, and the PMCA fibrils derived from PD, MSA, and DLB patients could be unambiguously distinguished. This approach constitutes a novel and operationally simple method to differentiate amyloid fibril morphologies and to identify disease states using PMCA fibrils obtained by seeding with patient samples.
淀粉样纤维是许多神经退行性疾病的特征,包括阿尔茨海默病和帕金森病。虽然不同的疾病可能具有由相同蛋白质形成的纤维,但这些纤维的超分子形态是特定于疾病的。在这里,报道了一种基于配体结合特性差异来区分八种形态不同的淀粉样纤维的方法。研究了八种 α-突触核蛋白 (αSyn) 的纤维多晶型物:五种是使用重组 αSyn 从头生成的,三种是使用重组 αSyn 的蛋白错误折叠循环扩增 (PMCA) 生成的,其种子是来自诊断为帕金森病 (PD)、多系统萎缩 (MSA) 和路易体痴呆 (DLB) 的已故患者的脑匀浆。使用六种不同配体的工具包对每种纤维进行荧光结合测定。根据它们是否结合特定配体的二分类,将纤维样本分为五类。然后进行定量结合测量,使每种纤维多晶型物都能够被唯一识别,并且可以明确区分来自 PD、MSA 和 DLB 患者的 PMCA 纤维。这种方法构成了一种新颖且操作简单的方法,可以区分淀粉样纤维形态,并使用通过患者样本接种获得的 PMCA 纤维来识别疾病状态。