Perspective: Clinical relevance of the dichotomous classification of Alzheimer’s disease biomarkers: Should there be a “grey zone”?
File(s)Revised_manuscript_accepted.docx (124.69 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
The 2018 National Institute on Aging and the Alzheimer's Association (NIA-AA) research framework recently redefined Alzheimer's disease (AD) as a biological construct, based on in vivo biomarkers reflecting key neuropathologic features. Combinations of normal/abnormal levels of three biomarker categories, based on single thresholds, form the AD signature profile that defines the biological disease state as a continuum, independent of clinical symptomatology. While single thresholds may be useful in defining the biological signature profile, we provide evidence that their use in studies with cognitive outcomes merits further consideration. Using data from the Alzheimer's Disease Neuroimaging Initiative with a focus on cortical amyloid binding, we discuss the limitations of applying the biological definition of disease status as a tool to define the increased likelihood of the onset of the Alzheimer's clinical syndrome and the effects that this may have on trial study design. We also suggest potential research objectives going forward and what the related data requirements would be.
Date Issued
2019-10-01
Date Acceptance
2019-07-22
Citation
Alzheimers & Dementia, 2019, 15 (10), pp.1348-1356
ISSN
1552-5260
Publisher
Elsevier
Start Page
1348
End Page
1356
Journal / Book Title
Alzheimers & Dementia
Volume
15
Issue
10
Copyright Statement
© 2019 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Medical Research Council (MRC)
Grant Number
HQR00720
Subjects
ADNI
AT(N)
Alzheimer's clinical syndrome
Alzheimer's disease Neuroimaging Initiative
Amyloid PET
Biomarker thresholds
Cognitive decline
NIA-AA
Perithreshold
SUVR
Alzheimer's Disease Neuroimaging Initiative
Geriatrics
1109 Neurosciences
1103 Clinical Sciences
Publication Status
Published
Date Publish Online
2019-09-26