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Biomarkers of Alzheimer's Disease in Adults with Down Syndrome

$338,385U01FY2018AGNIH

Columbia University Health Sciences, New York NY

Investigators

Linked publications & trials

Abstract

Abstract 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. The ABC-DS 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 b-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 and tau protein. 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 and tau deposition. 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. The addition of non-targeted proteomics (n=7,000 proteins) will provide the single largest and richest dataset to date for the study of AD in adults with DS The identification of a blood-based profile that can be highly accurate in identifying people at risk and in screening out people who have a low likelihood of having cerebral amyloid and/or tau would be of tremendous value to novel clinical trials an approach has tremendous potential for revolutionizing the current system. 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. This proposal brings together a group of co-investigator with established expertise in studies of DS and makes available a combined cohort of 400 participants.

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