Dissociation of Down syndrome and Alzheimer's disease effects with imaging
| Autor: | Matthews, Dawn C, Lukic, Ana S, Andrews, Randolph D, Marendic, Boris, Brewer, James, Rissman, Robert A, Mosconi, Lisa, Strother, Stephen C, Wernick, Miles N, Mobley, William C, Ness, Seth, Schmidt, Mark E, Rafii, Michael S |
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| Rok vydání: | 2016 |
| Předmět: |
Amyloid
Aging NPAIRS FDG Down syndrome Intellectual and Developmental Disabilities (IDD) Neurodegenerative Classifier Alzheimer's Disease Imaging Clinical trials Clinical Research Acquired Cognitive Impairment 2.1 Biological and endogenous factors AV-45 Aetiology Biomarker initiative screening and diagnosis Glucose metabolism Neurosciences Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) DSBI Brain Disorders 4.1 Discovery and preclinical testing of markers and technologies Detection PET Prodromal Neurological Biomedical Imaging Dementia Alzheimer’s MRI |
| Zdroj: | Alzheimer's & dementia (New York, N. Y.), vol 2, iss 2 Matthews, DC; Lukic, AS; Andrews, RD; Marendic, B; Brewer, J; Rissman, RA; et al.(2016). Dissociation of Down syndrome and Alzheimer's disease effects with imaging.. Alzheimer's & Dementia : Translational Research & Clinical Interventions, 2(2), 69-81. doi: 10.1016/j.trci.2016.02.004. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/9546r3rs |
| DOI: | 10.1016/j.trci.2016.02.004. |
| Popis: | IntroductionDown 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.MethodsWe 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.ResultsOur 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.DiscussionThese findings lay groundwork to enable AD clinical trials with characterization and disease-specific tracking of DS adults. |
| Databáze: | OpenAIRE |
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