Ippel Johannes H, Olofsson Anders, Schleucher Jürgen, Lundgren Erik, Wijmenga Sybren S
Department of Medical Biosciences, Umeå University, 90 187 Umeå, Sweden.
Proc Natl Acad Sci U S A. 2002 Jun 25;99(13):8648-53. doi: 10.1073/pnas.132098999. Epub 2002 Jun 18.
Amyloid is the result of an anomalous protein and peptide aggregation, leading to the formation of insoluble fibril deposits. At present, 18 human diseases have been associated with amyloid deposits-e.g., Alzheimer's disease and Prion-transmissible Spongiform Encephalopathies. The molecular structure of amyloid is to a large extent unknown, because of lack of high-resolution structural information within the amyloid state. However, from other experimental data it has been established that amyloid fibrils predominantly consist of beta-strands arranged perpendicular to the fibril axis. Identification of residues involved in these secondary structural elements is therefore of vital importance to rationally designing appropriate inhibitors. We have designed a hydrogen/deuterium exchange NMR experiment that can be applied on mature amyloid to enable identification of the residues located inside the fibril core. Using a highly amyloidogenic peptide, corresponding to residues 25-35 within the Alzheimer Abeta(1-43) peptide, we could establish that residues 28-35 constitute the amyloid core, with residues 31 and 32 being the most protected. In addition, quantitative values for the solvent accessibility for each involved residue could be obtained. Based on our data, two models of peptide assembly are proposed. The method provides a general way to identify the core of amyloid structures and thereby pinpoint areas suitable for design of inhibitors.
淀粉样蛋白是异常蛋白质和肽聚集的结果,会导致不溶性纤维沉积物的形成。目前,已有18种人类疾病与淀粉样蛋白沉积有关,如阿尔茨海默病和朊病毒传播性海绵状脑病。由于缺乏淀粉样状态下的高分辨率结构信息,淀粉样蛋白的分子结构在很大程度上尚不明确。然而,从其他实验数据可知,淀粉样纤维主要由垂直于纤维轴排列的β-链组成。因此,确定参与这些二级结构元件的残基对于合理设计合适的抑制剂至关重要。我们设计了一种氢/氘交换核磁共振实验,可应用于成熟的淀粉样蛋白,以确定位于纤维核心内的残基。使用一种高度淀粉样变性的肽,对应于阿尔茨海默病β-淀粉样蛋白(1-43)肽中的25-35位残基,我们可以确定28-35位残基构成了淀粉样核心,其中31和32位残基受保护程度最高。此外,还可以获得每个相关残基的溶剂可及性定量值。基于我们的数据,提出了两种肽组装模型。该方法提供了一种识别淀粉样结构核心的通用方法,从而确定适合设计抑制剂的区域。