By age 40 years, individuals with Down syndrome (DS) show the neuropathological changes of Alzheimer?s disease (AD) and have a high risk for dementia, but little is known about the biomarkers that may predict clinical onset or reflect disease progression. This study focuses on a longitudinal and multidisciplinary determination of key biomarkers that are likely to define this progression, including levels and rates of change in blood based biomarkers such as ?-amyloid peptides, protein and lipid profiles, and measures of amyloid and tau concentration in cerebrospinal fluid, neuroimaging-based changes and genetic polymorphisms. Using a neurocognitive battery that we have developed and tested, systematic profiles of longitudinal stability and of decline will allow us to define dementia status, including Mild Cognitive Impairment in DS (MCI-DS), and characterize progression in clinical status. Previously generated protein, inflammatory and lipid signatures will be examined, as well as amyloid and tau profiles in cerebrospinal fluid (CSF). Imaging biomarkers will include structural MRI components and PET studies of brain amyloid uptake. Analysis of MRI imaging biomarkers will include longitudinal measures of atrophy, white matter abnormalities and intrinsic network connectivity paradigms. Amyloid positron tomography will delineate regional and whole brain uptake of amyloid. Polymorphisms in candidate genes for AD and related biomarkers will be studied as potential modifiers of risk and their relation to beta amyloid, proteomic, lipidomic and imaging biomarkers examined. Relationships among demographic, clinical, blood based and CSF biomarkers, imaging measures, and genetic variants will be examined to develop the most valid indicators of preclinical and early stages of AD. Importantly, the data and the biological samples will be archived and banked to establish a resource to be shared with other scientists. Collectively, our investigators have a combined clinical and research experience involving over 1500 patients (30% demented), over 850 banked blood samples, 500 DNA samples, and 50 imaging studies. Further, team investigators have previous experience with all methods that will be included in this new project. Thus, this proposal brings together a group of co-investigators with established expertise in studies of DS and makes available a combined cohort of 280 participants.

Public Health Relevance

(RELEVANCE) Individuals with Down syndrome have a high risk for Alzheimer's disease, but little is known about the biomarkers that characterize disease onset and progression or why some individuals develop dementia much earlier than others. This study focuses on a multidisciplinary determination of key risk as well as protective biomarkers that are likely to affect AD progression, including blood-based, CSF-based and imaging-based biomarkers, and polymorphisms in AD-related genes. Study of biomarkers for early dementia changes may yield critical data documenting the transition from normal aging to mild cognitive impairment to clinical dementia in individuals with DS. This can provide key insights into the pathways involved in AD progression and may allow for future therapeutic interventions before irreversible cognitive deterioration has occurred.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01AG051412-04S2
Application #
9748711
Study Section
Program Officer
Hsiao, John
Project Start
2015-09-30
Project End
2020-04-30
Budget Start
2018-09-30
Budget End
2019-04-30
Support Year
4
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Columbia University (N.Y.)
Department
Neurology
Type
Schools of Medicine
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
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Hamlett, Eric D; Goetzl, Edward J; Ledreux, Aurélie et al. (2017) Neuronal exosomes reveal Alzheimer's disease biomarkers in Down syndrome. Alzheimers Dement 13:541-549
Doran, Eric; Keator, David; Head, Elizabeth et al. (2017) Down Syndrome, Partial Trisomy 21, and Absence of Alzheimer's Disease: The Role of APP. J Alzheimers Dis 56:459-470
Hampel, H; O'Bryant, S E; Castrillo, J I et al. (2016) PRECISION MEDICINE - The Golden Gate for Detection, Treatment and Prevention of Alzheimer's Disease. J Prev Alzheimers Dis 3:243-259