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Distinctive Temporal Trajectories of Alzheimer’s Disease Biomarkers According to Sex and APOE Genotype: Importance of Striatal Amyloid

Title
Distinctive Temporal Trajectories of Alzheimer’s Disease Biomarkers According to Sex and APOE Genotype: Importance of Striatal Amyloid
Authors
Kim J.P.Chun M.Y.Kim S.-J.Jang H.Kim H.J.Jeong J.H.Na D.L.Seo S.W.the Alzheimer's Disease Neuroimaging Initiative
Ewha Authors
정지향
SCOPUS Author ID
정지향scopusscopus
Issue Date
2022
Journal Title
Frontiers in Aging Neuroscience
ISSN
1663-4365JCR Link
Citation
Frontiers in Aging Neuroscience vol. 14
Keywords
Alzheimer’s diseaseapolipoprotein Epositron emission tomographysextrajectory curve
Publisher
Frontiers Media S.A.
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Purpose: Previously, sex and apolipoprotein E (APOE) genotype had distinct effects on the cognitive trajectory across the Alzheimer’s disease (AD) continuum. We therefore aimed to investigate whether these trajectory curves including β-amyloid (Aβ) accumulation in the cortex and striatum, and tau accumulation would differ according to sex and APOE genotype. Methods: We obtained 534 subjects for 18F-florbetapir (AV45) PET analysis and 163 subjects for 18F-flortaucipir (AV1451) PET analysis from the Alzheimer’s Disease Neuroimaging Initiative database. For cortical Aβ, striatal Aβ, and tau SUVR, we fitted penalized splines to model the slopes of SUVR value as a non-linear function of baseline SUVR value. By integrating the fitted splines, we obtained the predicted SUVR curves as a function of time. Results: The time from initial SUVR to the cutoff values were 14.9 years for cortical Aβ, 18.2 years for striatal Aβ, and 22.7 years for tau. Although there was no difference in cortical Aβ accumulation rate between women and men, striatal Aβ accumulation was found to be faster in women than in men, and this temporal difference according to sex was more pronounced in tau accumulation. However, APOE ε4 carriers showed faster progression than non-carriers regardless of kinds of AD biomarkers’ trajectories. Conclusion: Our temporal trajectory models illustrate that there is a distinct progression pattern of AD biomarkers depending on sex and APOE genotype. In this regard, our models will be able to contribute to designing personalized treatment and prevention strategies for AD in clinical practice. Copyright © 2022 Kim, Chun, Kim, Jang, Kim, Jeong, Na and Seo.
DOI
10.3389/fnagi.2022.829202
Appears in Collections:
의과대학 > 의학과 > Journal papers
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