Publication Type Academic Article
Authors Matthews D, Lukic A, Andrews R, Marendic B, Brewer J, Rissman R, Mosconi L, Strother S, Wernick M, Mobley W, Ness S, Schmidt M, Rafii M
Journal Alzheimers Dement (N Y)
Volume 2
Issue 2
Pagination 69-81
Date Published 06/01/2016
ISSN 2352-8737
Abstract INTRODUCTION: Down Syndrome (DS) adults experience accumulation of Alzheimer's disease (AD)-like amyloid plaques and tangles and a high incidence of dementia and could provide an enriched population to study AD-targeted treatments. However, to evaluate effects of therapeutic intervention, it is necessary to dissociate the contributions of DS and AD from overall phenotype. Imaging biomarkers offer the potential to characterize and stratify patients who will worsen clinically but have yielded mixed findings in DS subjects. METHODS: We evaluated 18F fluorodeoxyglucose positron emission tomography (PET), florbetapir PET, and structural magnetic resonance (sMR) image data from 12 nondemented DS adults using advanced multivariate machine learning methods. RESULTS: Our results showed distinctive patterns of glucose metabolism and brain volume enabling dissociation of DS and AD effects. AD-like pattern expression corresponded to amyloid burden and clinical measures. DISCUSSION: These findings lay groundwork to enable AD clinical trials with characterization and disease-specific tracking of DS adults.
DOI 10.1016/j.trci.2016.02.004
PubMed ID 28642933
PubMed Central ID PMC5477635
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