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The impact of demographic, clinical, genetic, and imaging variables on tau PET status

Authors
 Rik Ossenkoppele  ;  Antoine Leuzy  ;  Hanna Cho  ;  Carole H Sudre  ;  Olof Strandberg  ;  Ruben Smith  ;  Sebastian Palmqvist  ;  Niklas Mattsson-Carlgren  ;  Tomas Olsson  ;  Jonas Jögi  ;  Erik Stormrud  ;  Young Hoon Ryu  ;  Jae Yong Choi  ;  Adam L Boxer  ;  Maria L Gorno-Tempini  ;  Bruce L Miller  ;  David Soleimani-Meigooni  ;  Leonardo Iaccarino  ;  Renaud La Joie  ;  Edilio Borroni  ;  Gregory Klein  ;  Michael J Pontecorvo  ;  Michael D Devous Sr  ;  Sylvia Villeneuve  ;  Chul Hyoung Lyoo  ;  Gil D Rabinovici  ;  Oskar Hansson 
Citation
 EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, Vol.48(7) : 2245-2258, 2021-07 
Journal Title
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
ISSN
 1619-7070 
Issue Date
2021-07
MeSH
Alzheimer Disease* / diagnostic imaging ; Alzheimer Disease* / genetics ; Amyloid beta-Peptides ; Cognitive Dysfunction* / diagnostic imaging ; Cognitive Dysfunction* / genetics ; Demography ; Humans ; Positron-Emission Tomography ; tau Proteins
Keywords
Alzheimer’s disease ; Aβ ; Dementia ; MCI ; PET ; Tau
Abstract
Purpose: A substantial proportion of amyloid-β (Aβ)+ patients with clinically diagnosed Alzheimer's disease (AD) dementia and mild cognitive impairment (MCI) are tau PET-negative, while some clinically diagnosed non-AD neurodegenerative disorder (non-AD) patients or cognitively unimpaired (CU) subjects are tau PET-positive. We investigated which demographic, clinical, genetic, and imaging variables contributed to tau PET status.

Methods: We included 2338 participants (430 Aβ+ AD dementia, 381 Aβ+ MCI, 370 non-AD, and 1157 CU) who underwent [18F]flortaucipir (n = 1944) or [18F]RO948 (n = 719) PET. Tau PET positivity was determined in the entorhinal cortex, temporal meta-ROI, and Braak V-VI regions using previously established cutoffs. We performed bivariate binary logistic regression models with tau PET status (positive/negative) as dependent variable and age, sex, APOEε4, Aβ status (only in CU and non-AD analyses), MMSE, global white matter hyperintensities (WMH), and AD-signature cortical thickness as predictors. Additionally, we performed multivariable binary logistic regression models to account for all other predictors in the same model.

Results: Tau PET positivity in the temporal meta-ROI was 88.6% for AD dementia, 46.5% for MCI, 9.5% for non-AD, and 6.1% for CU. Among Aβ+ participants with AD dementia and MCI, lower age, MMSE score, and AD-signature cortical thickness showed the strongest associations with tau PET positivity. In non-AD and CU participants, presence of Aβ was the strongest predictor of a positive tau PET scan.

Conclusion: We identified several demographic, clinical, and neurobiological factors that are important to explain the variance in tau PET retention observed across the AD pathological continuum, non-AD neurodegenerative disorders, and cognitively unimpaired persons.
Files in This Item:
T202102441.pdf Download
DOI
10.1007/s00259-020-05099-w
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
Yonsei Authors
Lyoo, Chul Hyoung(류철형) ORCID logo https://orcid.org/0000-0003-2231-672X
Ryu, Young Hoon(유영훈) ORCID logo https://orcid.org/0000-0002-9000-5563
Cho, Hanna(조한나) ORCID logo https://orcid.org/0000-0001-5936-1546
Choi, Jae Yong(최재용)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/184166
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