The social, economic and personal burden of Alzheimer's disease (AD) is rapidly climbing in the U.S. with diagnoses expected to more than double over the next three decades. At the same time, our understanding of the brain changes associated with AD is increasing exponentially, and promising interventions to slow or halt the progress of the disease are beginning to move from the laboratory into the clinic. In this context, the development of approaches to aid early detection of the transition from healthy aging to mild cognitive impairment (MCI) and AD is becoming critically important. The Alzheimer's Disease Neuroimaging Initiative (ADNI), funded by the National Institutes of Aging and Bioimaging and Bioengineering, was launched in 2005 to provide a large database data to develop diagnostic and prognostic biomarkers of AD. While the overarching goal of this longitudinal data collection initiative is to provide information and methods leading to effective treatment and prevention of AD, the significant promise of in vivo neuroimaging in this area has yet to be fully realized. However, we can now reliably detect AD in humans based on biological markers, sometimes decades before cognitive symptoms emerge based upon cerebrospinal fluid (CSF) concentrations of the amyloid beta peptide 1-42 (A?) The advent of the CSF A? biomarker opens a window for studying the pathological progression of AD at preclinical stages of disease in humans. We will capitalize on the rich array of multi-modal data available through the ADNI to integrate structural MRI and gene expression data, in combination with the CSF A? biomarker, to (i) identify cell-type specific degeneration of the cholinergic basal forebrain neurons across preclinical and mild cognitive impairment stages of AD, and (ii) map the subcortical-to-cortical spread of cholinergic degeneration by examining the covariance of structural degeneration between the basal forebrain and cortex.

Public Health Relevance

The development of approaches to aid early detection of the transition from healthy aging to mild cognitive impairment and Alzheimer's disease (AD) is becoming critically important. We can now reliably detect AD in humans based on biological markers, sometimes decades before cognitive symptoms emerge based upon biological measures derived from cerebrospinal fluid, opening a window for studying the pathological progression of AD at preclinical stages of the disease. We will study the cholinergic system, which is thought to be vulnerable in AD, to identify cell-type specific degeneration of the cholinergic basal forebrain neurons across preclinical and mild cognitive impairment stages of AD, and map the spread of cholinergic degeneration as a novel and early marker of AD.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Small Research Grants (R03)
Project #
1R03AG060263-01
Application #
9585255
Study Section
Clinical Neuroscience and Neurodegeneration Study Section (CNN)
Program Officer
Hsiao, John
Project Start
2018-08-15
Project End
2020-05-31
Budget Start
2018-08-15
Budget End
2019-05-31
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Mcgill University
Department
Type
DUNS #
205667090
City
Montreal
State
QC
Country
Canada
Zip Code
H3 0G4