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CSF cutoffs for MCI due to AD depend on APOEε4 carrier status.
- Source :
-
Neurobiology of aging [Neurobiol Aging] 2020 May; Vol. 89, pp. 55-62. Date of Electronic Publication: 2019 Dec 30. - Publication Year :
- 2020
-
Abstract
- Amyloid and tau pathological accumulation should be considered for Alzheimer's disease (AD) definition and before subjects' enrollment in disease-modifying trials. Although age, APOEε4, and sex influence cerebrospinal fluid (CSF) biomarker levels, none of these variables are considered by current normality/abnormality cutoffs. Using baseline CSF data from 2 independent cohorts (PharmaCOG/European Alzheimer's Disease Neuroimaging Initiative and Alzheimer's Disease Neuroimaging Initiative), we investigated the effect of age, APOEε4 status, and sex on CSF Aβ42/P-tau distribution and cutoff extraction by applying mixture models with covariates. The Aβ42/P-tau distribution revealed the presence of 3 subgroups (AD-like, intermediate, control-like) and 2 cutoffs. The identification of the intermediate subgroup and of the higher cutoff was APOEε4 dependent in both cohorts. APOE-specific classification (higher cutoff for APOEε4+, lower cutoff for APOEε4-) showed higher diagnostic accuracy in identifying MCI due to AD compared to single Aβ42 and Aβ42/P-tau cutoffs. APOEε4 influences amyloid and tau CSF markers and AD progression in MCI patients supporting i) the use of APOE-specific cutoffs to identify MCI due to AD and ii) the utility of considering APOE genotype for early AD diagnosis.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- Aged
Aged, 80 and over
Alzheimer Disease complications
Cognitive Dysfunction etiology
Cohort Studies
Female
Humans
Male
Alzheimer Disease diagnosis
Alzheimer Disease genetics
Amyloid beta-Peptides cerebrospinal fluid
Apolipoproteins E genetics
Biomarkers cerebrospinal fluid
Cognitive Dysfunction diagnosis
Cognitive Dysfunction genetics
Heterozygote
Peptide Fragments cerebrospinal fluid
tau Proteins cerebrospinal fluid
Subjects
Details
- Language :
- English
- ISSN :
- 1558-1497
- Volume :
- 89
- Database :
- MEDLINE
- Journal :
- Neurobiology of aging
- Publication Type :
- Academic Journal
- Accession number :
- 32029236
- Full Text :
- https://doi.org/10.1016/j.neurobiolaging.2019.12.019