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.

Public Health Relevance

Alzheimer's disease results from death of neurons in the brain associated with deposition of plaques, composed largely of nanostructured protein assembles called amyloid fibrils. Mounting evidence now suggests that small molecular clusters, or oligomers, of Alzheimer's beta -amyloid protein may be especially toxic to neurons. In this project, we will produce stabilized purified samples of a beta -amyloid oligomer and characterize its structure. These studies will help us understand the atomic details of Alzheimer's disease related protein assembly and provide a structural basis for therapeutic strategies.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG045703-04
Application #
9265374
Study Section
Biophysics of Neural Systems Study Section (BPNS)
Program Officer
Yang, Austin Jyan-Yu
Project Start
2014-05-01
Project End
2019-04-30
Budget Start
2017-05-01
Budget End
2018-04-30
Support Year
4
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Georgia Institute of Technology
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
097394084
City
Atlanta
State
GA
Country
United States
Zip Code
30318
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