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. 2021 Dec 1;13(1):196.
doi: 10.1186/s13195-021-00937-x.

Baseline [18F]GTP1 tau PET imaging is associated with subsequent cognitive decline in Alzheimer's disease

Affiliations

Baseline [18F]GTP1 tau PET imaging is associated with subsequent cognitive decline in Alzheimer's disease

Edmond Teng et al. Alzheimers Res Ther. .

Abstract

Background: The role and implementation of tau PET imaging for predicting subsequent cognitive decline in Alzheimer's disease (AD) remains uncertain. This study was designed to evaluate the relationship between baseline [18F]GTP1 tau PET and subsequent longitudinal change across multiple cognitive measures over 18 months.

Methods: Our analyses incorporated data from 67 participants, including cognitively normal controls (n = 10) and β-amyloid (Aβ)-positive individuals ([18F] florbetapir Aβ PET) with prodromal (n = 26), mild (n = 16), or moderate (n = 15) AD. Baseline measurements included cortical volume (MRI), tau burden ([18F]GTP1 tau PET), and cognitive assessments [Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR), 13-item version of the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog13), and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS)]. Cognitive assessments were repeated at 6-month intervals over an 18-month period. Associations between baseline [18F]GTP1 tau PET indices and longitudinal cognitive performance were assessed via univariate (Spearman correlations) and multivariate (linear mixed effects models) approaches. The utility of potential prognostic tau PET cut points was assessed with ROC curves.

Results: Univariate analyses indicated that greater baseline [18F]GTP1 tau PET signal was associated with faster rates of subsequent decline on the MMSE, CDR, and ADAS-Cog13 across regions of interest (ROIs). In multivariate analyses adjusted for baseline age, cognitive performance, cortical volume, and Aβ PET SUVR, the prognostic performance of [18F]GTP1 SUVR was most robust in the whole cortical gray ROI. When AD participants were dichotomized into low versus high tau subgroups based on baseline [18F]GTP1 PET standardized uptake value ratios (SUVR) in the temporal (cutoff = 1.325) or whole cortical gray (cutoff = 1.245) ROIs, high tau subgroups demonstrated significantly more decline on the MMSE, CDR, and ADAS-Cog13.

Conclusions: Our results suggest that [18F]GTP1 tau PET represents a prognostic biomarker in AD and are consistent with data from other tau PET tracers. Tau PET imaging may have utility for identifying AD patients at risk for more rapid cognitive decline and for stratification and/or enrichment of participant selection in AD clinical trials. Trial registration ClinicalTrials.gov NCT02640092 . Registered on December 28, 2015.

Keywords: Alzheimer’s disease; Cognition; PET; Prognosis; Tau.

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Conflict of interest statement

All authors are current or former employees or contractors of Genentech, Inc. and/or F. Hoffmann-La Roche, Ltd. All authors except SLB are current or former shareholders of F. Hoffmann La Roche, Ltd.

Figures

Fig. 1
Fig. 1
Baseline [18F]GTP1 standardized uptake value ratios (SUVRs) in the temporal, whole cortical gray, temporal, and Braak regions of interest (ROIs) in the cognitively normal (CN) and prodromal (Pro), mild (Mild), and moderate (Mod) AD groups. ap < 0.05 vs. CN; bp < 0.05 vs. Pro
Fig. 2
Fig. 2
Annualized longitudinal cognitive change using estimated slopes derived from A simple linear and B linear mixed effect models on the Mini-Mental State Exam (MMSE), Clinical Dementia Rating Sum of Boxes (CDR-SB), 13-item version of the Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog13), and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Total Index in the cognitively normal (CN) and prodromal (Pro), mild (Mild), and moderate (Mod) AD groups. Error bars indicate a 95% confidence interval. ap < 0.05 vs. CN; bp < 0.05 vs. Pro
Fig. 3
Fig. 3
Forest plots illustrating Spearman correlations of baseline [18F]GTP1 standardized uptake value ratios across different regions of interest versus annualized change scores calculated via estimated slopes on the Mini-Mental State Exam (MMSE), Clinical Dementia Rating Sum of Boxes (CDR-SB), 13-item version of the Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog13), and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Total Index
Fig. 4
Fig. 4
Boxplots of annualized rates of change on the Mini-Mental State Exam (MMSE), Clinical Dementia Rating Sum of Boxes (CDR-SB), 13-item version of the Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog13), and Repeatable Battery for the assessment of Neuropsychological Status (RBANS) Total Index for study participants dichotomized by distribution-based [18F]GTP1 SUVR cutoffs of A 1.245 in the whole cortical gray ROI or B 1.325 in the temporal ROI
Fig. 5
Fig. 5
Receiver operating characteristic curves for A temporal meta ROI and B whole cortical gray (WCG) ROI [18F]GTP1 SUVR for distinguishing between progressors and non-progressors on the Mini-Mental State Exam (MMSE), Clinical Dementia Rating Sum of Boxes (CDR-SB), and 13-item version of the Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog13)

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