Poster No:
888
Submission Type:
Abstract Submission
Authors:
Diana Hobbs1, Brian Gordon1, Shaney Flores1, Sarah Keefe1, Nicole McKay1, Julie Wisch1, Russ Hornbeck1, Erin Franklin1, Chengjie Xiong1, John Morris1, Richard Perrin1, Beau Ances1, Yi Su2, Hillary Protas2, Tammie Benzinger1
Institutions:
1Washington University in St. Louis School of Medicine, St. Louis, MO, 2Banner Health, Phoenix, AZ
First Author:
Diana Hobbs
Washington University in St. Louis School of Medicine
St. Louis, MO
Co-Author(s):
Brian Gordon
Washington University in St. Louis School of Medicine
St. Louis, MO
Sarah Keefe, B.A.
Washington University in St. Louis School of Medicine
St. Louis, MO
Nicole McKay, PhD
Washington University in St. Louis School of Medicine
St. Louis, MO
Julie Wisch
Washington University in St. Louis School of Medicine
St. Louis, MO
Erin Franklin
Washington University in St. Louis School of Medicine
St. Louis, MO
John Morris, MD
Washington University in St. Louis School of Medicine
St. Louis, MO
Yi Su
Banner Health
Phoenix, AZ
Tammie Benzinger
Washington University in St. Louis School of Medicine
St. Louis, MO
Introduction:
Tau PET imaging is a critical tool in Alzheimer disease (AD) research, offering insights into tau deposition across the brain. In addition to understanding Alzheimer disease severity, tau PET can offer insight into the prevalence of tau pathology across the lifespan in individuals who are not on the AD trajectory. Here, we characterize primary age-related tauopathy (PART) in individuals without elevated amyloid levels, and explore whether levels of this protein differ by sex.
Methods:
This study analyzed 251 cognitively unimpaired participants 45-91 years of age from the Knight Alzheimer Disease Research Center (Knight ADRC). Each participant underwent amyloid PET imaging to confirm their amyloid burden was below pathological levels as determined by GMM (SUVR <= 17.15). Tau burden was quantified using PET imaging (18F-flortaucipir), and statistical models were deployed to evaluate the influence of age, sex, race, and subthreshold amyloid burden on regional tau distribution. To strengthen the validity of our findings, we replicated the analyses in an independent cohort of 458 cognitively unimpaired individuals (aged 50-94) from the Alzheimer Disease Neuroimaging Initiative (ADNI).
Results:
Significant positive associations between tau PET binding and age occurred in 7 (Knight ADRC1) and 13 (ADNI2) regions, with the largest effects seen in the putamen (t1=9.40; t2=10.50) and pallidum (t1=8.36; t2=7.39). Elevated tracer uptake in females was present in 19 (Knight ADRC1) and 12 (ADNI2) regions, but most prominently in the lateral occipital (t1=6.67; t2=4.31), pars orbitalis (t1=4.93; t2=4.75), rostral middle frontal (t1=4.73; t2=4.85), and the frontal pole (t1=4.59; t2=5.31). No statistically significant influence of race or subthreshold amyloid burden was observed for either cohort.
Conclusions:
Overall, we confirmed that tau PET is sensitive to age-related tau accumulation and revealed a distribution pattern consistent with the neuropathological features of PART. Additionally, we observed a pronounced sex difference such that women had consistently higher tracer uptake across multiple brain regions. This elevated binding in females suggests that previously reported increases in tau-burden for females is not merely an implication of AD pathology, but rather reflects a widespread, intrinsic phenomenon. However, notable age-associated increases were also observed in the basal ganglia, areas known for off-target binding. Together, these results underscore the importance of disentangling the effects of sex and age on tau PET binding to better assess the utility of these tracers, and also suggest that analyses must carefully consider regional patterns of off-target binding when interpreting 18F-flortaucipir-derived tau PET images. A deeper understanding of these influences is essential for accurately interpreting tau imaging data, particularly in distinguishing normal aging from disease related changes.
Lifespan Development:
Aging 1
Modeling and Analysis Methods:
PET Modeling and Analysis 2
Keywords:
ADULTS
Aging
Data analysis
Degenerative Disease
DISORDERS
Neurological
Positron Emission Tomography (PET)
Structures
1|2Indicates the priority used for review
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