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Longitudinal [ 18 F]RO948 PET SUVR is associated with Aβ accumulation and baseline tau pathology
Author(s) -
Leuzy Antoine,
Klein Gregory,
Ossenkoppele Rik,
Mattsson Niklas,
Janelidze Shorena,
Palmqvist Sebastian,
Strandberg Olof,
Coloma Preciosa M,
Borroni Edilio,
Stomrud Erik,
Smith Ruben,
Hansson Oskar
Publication year - 2020
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.046474
Subject(s) - entorhinal cortex , nuclear medicine , psychology , medicine , clinical dementia rating , white matter , standardized uptake value , alzheimer's disease , pathology , magnetic resonance imaging , positron emission tomography , hippocampus , disease , radiology
Background Alzheimer’s disease (AD) is defined by amyloid‐β (Aβ) and tau pathology. Specifically, Aβ and tau are thought to interact, with Aβ mediating the spread of tau. We here aimed to examine the association between cross‐sectional Aβ and tau‐PET with change in tau‐PET SUVR. Methods 51 subjects from the ongoing BioFINDER‐2 longitudinal sub‐study were included: 23 cognitively unimpaired (CU; 9 Aβ‐negative,14 Aβ‐positive), 21 with MCI (3 Aβ‐negative,18 Aβ‐positive) and 7 AD with dementia (all Aβ‐positive). Aβ‐status was based on CSF Aβ 42 /Aβ 40 . Aβ (CU, MCI only, by design) and tau‐PET (all subjects) were performed using [ 18 F]flutemetamol and [ 18 F]RO948, respectively. Subjects underwent a targeted follow‐up of ∼12‐months (mean=13.2±2.6) with [ 18 F]RO948. FreeSurfer (v.6.0) was used to calculate mean‐SUVR values for tau‐PET across four predefined ROIs reflecting Braak‐stages I‐VI (inferior cerebellar cortex as reference). For Aβ‐PET SUVR, a cortical meta‐ROI was used (composite white‐matter reference region). The association between longitudinal and cross‐sectional findings was assessed using linear regression with subject specific slopes for tau‐PET and tau and Aβ‐PET SUVR at baseline as predictors (adjusted for age, sex, interscan‐interval). Results Largest longitudinal change and effect‐sizes followed a group/Braak ROI specific pattern (Figure 1): I‐II (entorhinal cortex) for Aβ‐positive CU (+3.14%, effect‐size 0.72), III‐IV (amygdala, fusiform gyrus, inferior/middle temporal cortex, and parahippocampus) for Aβ‐positive MCI (+3.62%, effect‐size 0.61) and V‐VI (neocortical) for AD dementia (+3.98%, effect‐size 0.58). No significant increases were seen across Aβ‐negative subjects. Regression models in CU and MCI subjects (no AD dementia due absence of Aβ‐PET) showed that increases in tau‐PET SUVR were related to both Aβ‐PET and tau‐PET SUVR at baseline. However, when incorporating both measures as predictors, Aβ‐PET remained significant only in Aβ‐positive CU subjects. Plotting change in tau‐PET as a function of change in Aβ‐PET (Figure 2) revealed a seeming threshold effect whereby tau pathology accelerated around an Aβ‐PET SUVR of 0.65. Conclusion Initial results with longitudinal [ 18 F]RO948 indicate that it is able to capture the progression of early tau pathology in Aβ‐positive CU subjects, as well as cortical increases in subjects with cognitive impairment. A critical burden of Aβ appears to be a prerequisite for increases in tau pathology.