This project proposes to test the hypothesis that apoE and cholesterol modify Abeta deposition in an isoform-dependent fashion with the apoE4 allele acting in a dominant mode. Rare mutations in amyloid precursor protein (APP) are responsible for some cases of early onset autosomal dominant Alzheimer's disease (AD). Isoform differences at the AD susceptibility gene apolipoprotein (apo) E locus affect age of onset for late on-set AD, and may influence from 15-50% of all cases. In humans, there are three major apoE isoforms designated apoE2, E3, and E4 that differ by a single amino acid. ApoE functions to maintain cholesterol and fat homeostasis. ApoE isoforms also interact either directly or indirectly with APP to modulate the extent of Abeta deposition associated with one dimension of AD pathology. Current human studies suggest that high cholesterol increases the risk of AD. Animal studies reveal significant effects of cholesterol on APP and apoE metabolism in the brain, and on Abeta deposition, and suggest a major environmental (i.e. dietary fat and cholesterol) may modify AD pathology. We have transgenic animal models to test this hypothesis, human apoE targeted replacement mice, human apoE transgenic mice and the human APPV717F transgenic mouse. ApoE isoform-specific promoter effects on brain apoE levels will be measured under basal and high cholesterol conditions. AD-related pathology will be examined by crossing the apoE targeted replacement animals to mice bearing a human APP mutation using Abeta deposition and APP metabolism as endpoints. Finally, the ability to create animal models of the common human heterozygote, APOE3/4, will allow testing for dominant-positive or dominant-negative effects of human apoE isoforms. Modeling dietary factors that may modulate APP and apoE will advance the understanding of environmental and genetic interactions that influence the onset and progression of AD.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
3P50AG005128-19S1
Application #
6616265
Study Section
Project Start
2002-08-01
Project End
2003-04-30
Budget Start
Budget End
Support Year
19
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Duke University
Department
Type
DUNS #
071723621
City
Durham
State
NC
Country
United States
Zip Code
27705
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
Sims, Rebecca (see original citation for additional authors) (2017) Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. Nat Genet 49:1373-1384
Jun, Gyungah R; Chung, Jaeyoon; Mez, Jesse et al. (2017) Transethnic genome-wide scan identifies novel Alzheimer's disease loci. Alzheimers Dement 13:727-738
Karch, Celeste M; Ezerskiy, Lubov A; Bertelsen, Sarah et al. (2016) Alzheimer's Disease Risk Polymorphisms Regulate Gene Expression in the ZCWPW1 and the CELF1 Loci. PLoS One 11:e0148717
Mez, Jesse; Mukherjee, Shubhabrata; Thornton, Timothy et al. (2016) The executive prominent/memory prominent spectrum in Alzheimer's disease is highly heritable. Neurobiol Aging 41:115-121
Ridge, Perry G; Hoyt, Kaitlyn B; Boehme, Kevin et al. (2016) Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiol Aging 41:200.e13-200.e20
Hohman, Timothy J; Bush, William S; Jiang, Lan et al. (2016) Discovery of gene-gene interactions across multiple independent data sets of late onset Alzheimer disease from the Alzheimer Disease Genetics Consortium. Neurobiol Aging 38:141-150
Jun, G; Ibrahim-Verbaas, C A; Vronskaya, M et al. (2016) A novel Alzheimer disease locus located near the gene encoding tau protein. Mol Psychiatry 21:108-17
Hohman, Timothy J; Cooke-Bailey, Jessica N; Reitz, Christiane et al. (2016) Global and local ancestry in African-Americans: Implications for Alzheimer's disease risk. Alzheimers Dement 12:233-43
International Genomics of Alzheimer's Disease Consortium (IGAP) (2015) Convergent genetic and expression data implicate immunity in Alzheimer's disease. Alzheimers Dement 11:658-71

Showing the most recent 10 out of 97 publications