Amyloid protein fibrils are associated with a group of devastating human diseases. The precise etiologic agents for these medical conditions remain undefined, but in several cases appear to be protein fibrils or pre-fibrillar oligomers. Currently there is no approved therapeutic agent that regulates the formation of amyloid fibrils and reverses the symptoms. Our working hypothesis is that interfering with amyloid fibrillation and oligomerization is of clinical benefit to patients suffering from Alzheimer's and other amyloid diseases. Amyloid proteins lack common sequence motifs;nevertheless, they display similar biophysical characteristics and a common 'cross-B spine'structure. The first fully objective atomic model of the common B-spine structure of a fibril-forming peptide was determined in our lab, and additional structures are already available. Based on these atomic structures, we are able to design inhibitors. Our recently designed peptide inhibitors of tau fibrils, based on the structure of the amyloid spines of the tau protein determined in our lab, interfere with fibrillation of tau. We plan to improve the bioavailability and potency of these inhibitors and to design similar peptide inhibitors against Amyloid-beta (AB) fibrils. In recent years several compounds were shown by others to inhibit fibrillation, although the molecular mechanism of this interference is not yet clear. We will determine crystal structures of the fibrils bound to various inhibitors that will advance our understanding of the mechanism of inhibition of fibrils and small oligomers by small molecule inhibitors. The structure determination will be coupled to a computational approach to detect non-toxic, specific and potent inhibitors that will cross the blood-brain-barrier and will bind strongly to fibrils and oligomers. Another important application of this study is to find compounds that could be useful as markers for fibrils in biochemical assays as well as in the diagnosis of fibrils in-vivo. Our project is consistent with the aims of """"""""The Therapeutic Imperative"""""""", and our proposal involves dose collaboration with members of the ADRC community.

Public Health Relevance

New treatment for Alzheimer's disease are urgently needed. Alzheimers appears to result from proteins that change their structure and kill nerve cells. This project will develop treatments that keep the proteins from changing structures. These agents may be new treatments for Alzheimer's disease.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG016570-15
Application #
8662644
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2014-04-01
Budget End
2015-03-31
Support Year
15
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Petyuk, Vladislav A; Chang, Rui; Ramirez-Restrepo, Manuel et al. (2018) The human brainome: network analysis identifies HSPA2 as a novel Alzheimer’s disease target. Brain 141:2721-2739
Burke, Shanna L; Cadet, Tamara; Maddux, Marlaina (2018) Chronic Health Illnesses as Predictors of Mild Cognitive Impairment Among African American Older Adults. J Natl Med Assoc 110:314-325
Cruchaga, Carlos; Del-Aguila, Jorge L; Saef, Benjamin et al. (2018) Polygenic risk score of sporadic late-onset Alzheimer's disease reveals a shared architecture with the familial and early-onset forms. Alzheimers Dement 14:205-214
Joe, Elizabeth; Medina, Luis D; Ringman, John M et al. (2018) 1H MRS spectroscopy in preclinical autosomal dominant Alzheimer disease. Brain Imaging Behav :
Burke, Shanna L; Maramaldi, Peter; Cadet, Tamara et al. (2018) Decreasing hazards of Alzheimer's disease with the use of antidepressants: mitigating the risk of depression and apolipoprotein E. Int J Geriatr Psychiatry 33:200-211
Qian, Winnie; Fischer, Corinne E; Schweizer, Tom A et al. (2018) Association Between Psychosis Phenotype and APOE Genotype on the Clinical Profiles of Alzheimer's Disease. Curr Alzheimer Res 15:187-194
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Alosco, Michael L; Sugarman, Michael A; Besser, Lilah M et al. (2018) A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer's Disease Neuropathology. J Alzheimers Dis 63:1347-1360

Showing the most recent 10 out of 727 publications