Markers of early changes in cognition across cohorts of adults with down syndrome at risk of alzheimer's disease
Aschenbrenner, A.J. (Washington University in St. Louis. Department of Neurology)
Asaad Baksh, R. (The London Down Syndrome (LonDownS) Consortium)
Benejam, Bessy (Barcelona Down Medical Center. Fundació Catalana Síndrome de Down)
Beresford-Webb, J.A. (Cambridge Intellectual and Developmental Disabilities Research Group. Department of Psychiatry. University of Cambridge)
Coppus, Antonia (Department of Primary and Community Care. Radboud University Medical Center)
Fortea, Juan (Institut d'Investigació Biomèdica Sant Pau)
Handen, Benjamin L (Department of Psychiatry. University of Pittsburgh)
Hartley, S. (Department of Human Development & Family Studies. University of Wisconsin-Madison)
Head, E. (Department of Pathology & Laboratory Medicine. University of California)
Jaeger, J. (Deptment of Psychiatry and Behavioral Sciences. Albert Einstein College of Medicine)
Levin, J. (Munich Cluster for Systems Neurology (SyNergy))
Loosli, S.V. (Department of Neurology. Ludwig-Maximilians-UniversitätMünchen)
Rebillat, A.S. (Jerome Lejeune Institute)
Sacco, S. (Jerome Lejeune Institute)
Schmitt, F.A. (Departments of Neurology. Neurosurgery. Behavioral Science. Psychology. Psychiatry. University of Kentucky)
Thurlow, K.E. (King's College London. Institute of Psychiatry, Psychology & Neuroscience)
Zaman, S. (Cambridgeshire & Peterborough NHS Foundation Trust)
Hassenstab, J. (Washington University in St. Louis. Department of Neurology)
Strydom, A. (South London and the Maudsley NHS Foundation Trust)

Date:	2021
Abstract:	Introduction: Down syndrome (DS), a genetic variant of early onset Alzheimer's disease (AD), lacks a suitable outcome measure for prevention trials targeting predementia stages. Methods: We used cognitive test data collected in several longitudinal aging studies internationally from 312 participants with DS without dementia to identify composites that were sensitive to change over time. We then conducted additional analyses to provide support for the utility of the composites. The composites were presented to an expert panel to determine the most optimal cognitive battery based on predetermined criteria. Results: There were common cognitive domains across site composites, which were sensitive to early decline. The final composite consisted ofmemory, language/executive functioning, selective attention, orientation, and praxis tests. Discussion:We have identified a composite that is sensitive to early decline and thus may have utility as an outcome measure in trials to prevent or delay symptoms of AD in DS.
Note:	Altres ajuts: LuMind IDSC Foundation; Jérôme Lejeune Foundation; Wellcome Trust Strategic Award (098330/Z/12/Z); Medical Research Council (MRC MR/S011277/1, MR/S005145/1, MR/R024901/1); Verum Foundation; Deutsche Forschungs-gemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy - ID 390857198); National Institutes of Health/Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH/NICHD R01HD064993); National Institute for Health Research (NIHR); Cambridge Biomedical Research Centre (BRC-1215-20014); National Institute for Health (R01AG031110, U01AG051406).
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Alzheimer's disease ; Clinical trial outcome ; Composite measure ; Down syndrome ; Early cognitive decline
Published in:	Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring, Vol. 13 Núm. 1 (2021) , p. e12184, ISSN 2352-8729

DOI: 10.1002/dad2.12184
PMID: 33969175

10 p, 344.1 KB

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