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ABSTRACT: Background
Clinical-pathological Alzheimer's disease (AD) subtypes may help distill heterogeneity in patient presentation. To date, no studies have utilized neuropsychological and biological markers to identify preclinical subtypes with longitudinal stability.Objective
The objective of this study was to empirically derive AD endophenotypes using a combination of cognitive and biological markers.Methods
Hierarchical cluster analysis grouped dementia-free older adults using memory, executive and language abilities, and cerebrospinal fluid amyloid-β and phosphorylated tau. Brain volume differences, neuropsychological trajectory, and progression to dementia were compared, controlling for age, gender, education, and apolipoprotein E4 (ApoE4).Results
Subgroups included asymptomatic-normal (n = 653) with unimpaired cognition and subthreshold biomarkers, typical AD (TAD; n = 191) showing marked memory decline, high ApoE4 rates and abnormal biomarkers, and atypical AD (AAD; n = 132) with widespread cognitive decline, intermediate biomarker levels, older age, less education and more white matter lesions. Cognitive profiles showed longitudinal stability with corresponding patterns of cortical atrophy, despite nearly identical rates of progression to AD dementia.Conclusion
Two clinical-pathological AD subtypes are identified with potential implications for preventative efforts.
SUBMITTER: Blanken AE
PROVIDER: S-EPMC8820245 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Blanken Anna E AE Dutt Shubir S Li Yanrong Y Nation Daniel A DA
Journal of Alzheimer's disease : JAD 20190101 1
<h4>Background</h4>Clinical-pathological Alzheimer's disease (AD) subtypes may help distill heterogeneity in patient presentation. To date, no studies have utilized neuropsychological and biological markers to identify preclinical subtypes with longitudinal stability.<h4>Objective</h4>The objective of this study was to empirically derive AD endophenotypes using a combination of cognitive and biological markers.<h4>Methods</h4>Hierarchical cluster analysis grouped dementia-free older adults using ...[more]