Although Alzheimer's Disease (AD) is characterized classically by dementia associated with a variety of neuropathologic features, it is likely that there is no single pathologic change that alone is the basis for the cognitive and behavioral impairment. In this proposal, we hypothesize that the pathogenetic mechanism for dementia involves quantitative and variable neuronal cell body and synaptic losses occurring concurrently in multiple brain structures to reach a threshold of loss that results in dementia, especially when combined with the aging process. To substantiate multifactorial origins of dementia, we will identify losses that occur in the brains of patients diagnosed as having dementia due to AD by comparing them with the brains of cognitively normal aged subjects. Consecutive series of tissue sections will be prepared form neuronal regions known to be involved in cognitive and behavioral function, including the hippocampal complex, amygdala, portions of the frontal and temporal lobes, and the nucleus basalis of Meynert. As a marker of synaptic terminals, we will validate and extend the use of antibodies to synapsin. Using these immunohistochemical methods and standard histochemical techniques, we will identify losses in the number and/or density of synaptic terminals and neuronal cell bodies. To determine the extent of neural loss necessary and sufficient to produce dementia, we will quantify deficits in AD patients compared to controls using an image analysis system. Starting in year 2, we will collaborate with other MADRC laboratories to expand the data set by quantifying pharmacologic and biochemical losses in AD. We will statistically analyze the accumulated data with a multivariate approach to characterize the cumulative neural losses in multiple loci that result in the dementia of AD.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005134-10
Application #
3768048
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
10
Fiscal Year
1993
Total Cost
Indirect Cost
Name
Harvard University
Department
Type
DUNS #
082359691
City
Boston
State
MA
Country
United States
Zip Code
02115
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
DeVos, Sarah L; Corjuc, Bianca T; Commins, Caitlin et al. (2018) Tau reduction in the presence of amyloid-? prevents tau pathology and neuronal death in vivo. Brain 141:2194-2212
Lee, Christopher M; Jacobs, Heidi I L; Marquié, Marta et al. (2018) 18F-Flortaucipir Binding in Choroid Plexus: Related to Race and Hippocampus Signal. J Alzheimers Dis 62:1691-1702
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487
Eftekharzadeh, Bahareh; Daigle, J Gavin; Kapinos, Larisa E et al. (2018) Tau Protein Disrupts Nucleocytoplasmic Transport in Alzheimer's Disease. Neuron 99:925-940.e7
Emerson, Sarah C; Waikar, Sushrut S; Fuentes, Claudio et al. (2018) Biomarker validation with an imperfect reference: Issues and bounds. Stat Methods Med Res 27:2933-2945
Crum, Jana; Wilson, Jeffrey; Sabbagh, Marwan (2018) Does taking statins affect the pathological burden in autopsy-confirmed Alzheimer's dementia? Alzheimers Res Ther 10:104
Pasi, Marco; Marini, Sandro; Morotti, Andrea et al. (2018) Cerebellar Hematoma Location: Implications for the Underlying Microangiopathy. Stroke 49:207-210
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
Xiong, Li; van Veluw, Susanne J; Bounemia, Narimene et al. (2018) Cerebral Cortical Microinfarcts on Magnetic Resonance Imaging and Their Association With Cognition in Cerebral Amyloid Angiopathy. Stroke 49:2330-2336

Showing the most recent 10 out of 966 publications