HAI Book 2025 - Flipbook - Page 488
Chiotis, Konstantinos
Tau PET load in early- and late-onset Alzheimer9s disease: A cross-sectional
and longitudinal comparison of the LEADS and ADNI cohorts
Konstantinos Chiotis1, Ganna Blazhenets1, Daniel R. Schonhaut1, Julien Lagarde1, David
Soleimani-Meigooni1, Piyush Maiti1, Jiaxiuxiu Zhang1, Ranjani Shankar1, Alinda Amuiri1, Salma
Rocha1, Dustin B. Hammers2, Ani Eloyan3, Robert Koeppe4, Maria C. Carrillo5, Bradford C.
Dickerson6, Liana G. Apostolova2, Renaud La Joie1, Gil D. Rabinovici1
1
University of California San Francisco, San Francisco, CA, US
Indiana University, Indianapolis, IN, US
3
Brown University, Providence, RI, US
4
University of Michigan, Ann Arbor, MI, US
5
Alzheimer’s Association, Chicago, IL, US
6
Massachusetts General Hospital and Harvard Medical School, Boston, MA, US
2
Aims: We aimed to assess differences in baseline and longitudinal tau PET tracer binding between early-onset
Alzheimer9s disease (EOAD) and late-onset Alzheimer9s disease (LOAD) in the LEADS and ADNI cohorts,
respectively.
Methods: We analyzed amyloid-beta PET-positive, cognitively impaired participants from the LEADS (EOAD;
n=383) and ADNI (LOAD; n=196) cohorts with available 18F-Flortaucipir tau PET data (Table 1). A subset had
longitudinal 18F-Flortaucipir PET data from LEADS (n=232) and ADNI (n=94) with average follow-up intervals of 1.95
and 2.44 years, respectively. All 18F-Flortaucipir PET scans were processed using the CenTauR pipeline.
Cognitively normal participants from LEADS (n=94) and ADNI (n=421) with baseline 18F-Flortaucipir and amyloidbeta PET scans were also analyzed for comparison. We performed EOAD vs. LOAD comparisons using multivariate
linear and linear mixed-effects models for cross-sectional and longitudinal analyses, respectively.
HAI2025 - 488
