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In order to treat individuals with Down syndrome (DS) better and more efficiently and to gain more insights on its relation to Alzheimer's disease (AD), a comprehensive understanding is needed for its progression in the early or preclinical phase using various biomarkers. DS is a significant risk factor for the early development of AD, with plaques and tangles typically developing by age 35. A better understanding is needed of early markers of the disease in DS patients. Additionally the DS population represents a unique group - due to this elevated risk for AD - to examine biomarkers that may translate in general outside of the DS population to individuals at risk for developing late onset AD. In this proposal, the researchers will assess the longitudinal changes of various biomarkers in a cohort of individuals similar in design to the cross-sectional sectional study in the preliminary data.
Full description
This study will recruit from three experimental groups: (1)The DS (adult) group will consist of 15 DS subjects aged 21 and older who do not qualify for the diagnosis of dementia at the beginning of the study. (2)The DS/AD group will consist of 15 DS subjects aged 40 and older who do qualify for the diagnosis of dementia by Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. Diagnoses will be by standard consensus review of all cases. (3)Normal control (NC) adult will consist of 10 cognitively normal, non-DS individuals, age-matched to the DS group. Blood will be collected to assess apolipoprotein E (ApoE) genotype. Participation in the dried blood spot collection (DBSC) will be an optional sub-study. Only participants and/or their caregivers/legally authorized representatives indicating they wish to have DBSC performed on the consent will provide specimens.
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Inclusion and exclusion criteria
Inclusion criteria for Non-AD/DS subjects:
Inclusion criteria for AD/DS subjects:
Inclusion criteria for Normal Controls
Exclusion Criteria: (for all groups)
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19 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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