Author : Qiuming Wang
Publisher :
Page : 193 pages
File Size : 17,83 MB
Release : 2013
Category : Alzheimer's disease
ISBN :
Alzheimer's disease (AD) is the most common age related neurodegenerative disorder pathologically linked with the accumulation of the extracellular senile plaques of [Beta]-Amyloid peptide (A[Beta]) and the intracellular neurofibrillary tangles of tau protein in AD's brains. The deposition of A[Beta] is regarded as the primary causative factor in AD, which involves both neuron cytotoxicity and tau protein hydrophosphorylation. Amyloid formation on the cell membrane involves multiple self-assembly processes in which A[Beta] peptides undergo complex conformational change, aggregation, and reorganization to form characteristic [Beta]-sheet rich fibrils. The kinetics of this self-assembly process and the inhibition of A[Beta] aggregation and toxicity remains an important but open question because of 1) the small size, fast transition, and heterogeneous intermediates of A[Beta] oligomers, 2) complicated surface environment of cell membrane, and 3) no effective pharmaceutical agent was produced to date to treat AD. In this dissertation, both computational and experimental approaches were conducted to (1) investigate the conformation, orientation, and aggregation of amyloid oligomers upon adsorption on artificial surfaces; (2) determine seeding effect of A[Beta] adsorption and kinetic on different artificial surfaces; (3) examine inhibition effect of tanshiones on A[Beta] aggregation and toxicity; (4) explore novel process for A[Beta] inhibitor design. Throughout this week, we for the first time determine the effect of surface chemistry on A[Beta] aggregation and adsorption (Chapter II); and reveal the role of size, conformation, and orientation of A[Beta] oligomer on A[Beta]-surface interaction (Chapter III and Chapter IV). As compared to A[Beta] aggregation in solution, all of the Self-Assembled Monolayers (SAMs) can greatly accelerate A[Beta] aggregation and promote the structural conversion from an unstructured conformation to a [Beta]-sheet-containing structure. Our results suggest that A[Beta] undergoes different aggregation pathways on different SAMs. All these experimental and simulation results represent the first important step towards a better fundamental understanding of amyloid aggregation and toxicity mechanisms at the molecular level. We also discover a type of novel inhibitors of tanshionones from herb extracts which possess multifunction of inhibiting A[Beta] aggregation, disaggregating A[Beta] fibers, and reducing A[Beta]-induced cell toxicity in vitro (Chapter V). Tanshinone-derived compounds constitute a new class of amyloid inhibitors with multiple advantages in amyloid inhibition, fibril disruption, and cell protection, as well as their well-known anti-inflammatory activity, which may hold great promise in treating amyloid diseases. In addition of investigating the naturally existed compounds, a novel technique for the design and identification of amyloidogenic hexapeptide-based A[Beta] inhibitor was developed (Chapter VI). We have suggested a novel hypothesis for the development of hexapeptide-based A[Beta] inhibitors and developed a high-throughput protocol for the design and screen of amyloidogenic hexapeptide sequences as A[Beta] aggregation and cytotoxicity inhibitors. The successful identification of A[Beta] inhibitors through this work highly confirmed that analyzing the self-recognition short peptide fragments is a promising strategy for developing peptide-based inhibitors of Alzheimer's disease. And the common concept of cross-amylid interaction could also potentially be used to the identification of inhibitors for other amyloid diseases. The self-recognition hexapeptide fragments designed in QSAR model, in together with the high throughput MD simulation model, can be widely used for amyloidosis mechanism study and amyloid inhibitor screen.