Solid State NMR Structural Analysis of Oligomeric Alzheimer's Beta-Amyloid Peptid

寡聚阿尔茨海默病 β-淀粉样肽的固态 NMR 结构分析

• 批准号: 8697288
• 负责人: Anant Krishna Paravastu
• 金额: $ 34.83万
• 依托单位: FLORIDA STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8697288
• 关键词: Address; Alzheimer' s Disease; Amino Acid Sequence; Amino Acids; Amyloid Fibrils; Amyloid Proteins; Amyloid beta-Protein; Biochemical; Brain; Cessation of life; Charge; Chemicals; Clinic; Computer Simulation; Data; Deposition; Diagnostic; Disease; Early Diagnosis; Event; Florida; Genetic; Hand; Knowledge; Label; Lead; Maps; Measurement; Micelles; Modeling; Molecular; Molecular Conformation; Molecular Sieve Chromatography; NMR Spectroscopy; Neurons; Pathology; Pathway interactions; Physiological; Play; Proteins; Reporting; Research; Role; Sampling; Severity of illness; Signal Transduction; Site; Sodium; Structural Models; Structure; Testing; Therapeutic; Torsion; Toxic effect; Universities; Vertebral column; Work; X-Ray Crystallography; abeta oligomer; base; design; model design; nanostructured; public health relevance; research study; self assembly; solid state nuclear magnetic resonance; tool; two-dimensional

DESCRIPTION (provided by applicant): Alzheimer's disease (AD) research has traditionally focused on amyloid fibrils found in plaque deposits in the brain, but recent evidence suggests that oligomers of Alzheimer's beta-amyloid peptides play a more significant role in initiating AD pathology. The long-term objective of this project is, through characterizing Abeta oligomer structures, answer fundamental questions about pathways of A beta self-assembly and how these pathways could be controlled as strategies for designing therapeutics. The proposed research addresses major challenges related to oligomer stability and structural homogeneity, which have hindered oligomer structural characterization to date. We will determine the structure of a 150 kDa Abeta (1-42) oligomer by integrating solid state nuclear magnetic resonance (ssNMR) spectroscopy with computational modeling. Specifically, we will 1) define secondary structure and sidechain proximity across the amino acid sequence; 2) Determine alignments between neighboring beta -strands and conformations of non- beta -strand regions; and 3) Model the structure of the Abeta (1-42) oligomer based on the ssNMR data. The structural information obtained in this project will help characterize early events in Abeta self-assembly and may lead to diagnostic tools for early detection of Alzheimer's disease and therapeutic strategies that exploit differences in oligomer and fibril assembly pathways.

描述（由申请人提供）：阿尔茨海默病（AD）的研究传统上专注于在大脑斑块沉积物中发现的淀粉样原纤维，但最近的证据表明，阿尔茨海默病β -淀粉样肽的低聚物在启动AD病理中起着更重要的作用。该项目的长期目标是，通过表征β寡聚物结构，回答有关β自组装途径的基本问题，以及如何控制这些途径作为设计治疗方法的策略。提出的研究解决了与低聚物稳定性和结构均匀性相关的主要挑战，这些挑战迄今为止阻碍了低聚物的结构表征。我们将通过将固态核磁共振（ssNMR）光谱与计算模型相结合来确定150 kDa的Abeta（1-42）低聚物的结构。具体来说，我们将1)定义二级结构和侧链在氨基酸序列上的接近性；2)确定相邻β -链之间的排列和非β -链区域的构象；3)基于ssNMR数据建立Abeta（1-42）低聚物的结构模型。在这个项目中获得的结构信息将有助于描述Abeta自组装的早期事件，并可能导致早期检测阿尔茨海默病的诊断工具和利用低聚物和原纤维组装途径差异的治疗策略。