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DOI 10.1093/braincomms/fcag176

Медицинская библиотека · Brain communications · 2026

Tau topography subtypes account for clinical heterogeneity and longitudinal trajectories in early-onset Alzheimer's disease.

Lin Marlene, Chiotis Konstantinos, Maiti Piyush, Zhang Jiaxiuxiu, Blazhenets Ganna, Rocha Salma, Shankar Ranjani, Amuiri Alinda, Hammers Dustin B, Eloyan Ani, Kirby Kala, Koeppe Robert A, Aisen Paul, Beckett Laurel, Kukull Walter A, Toga Arthur W, Atri Alireza, Clark David G, Day Gregory S, Duara Ranjan, Graff-Radford Neill R, Grant Ian, Honig Lawrence S, Johnson Erik C B, Jones David T, Masdeu Joseph C, Mendez Mario F, Musiek Erik, Onyike Chiadi U, Riddle Meghan, Rogalski Emily, Salloway Stephen, Sha Sharon J, Turner Raymond Scott, Wingo Thomas S, Wolk David A, Womack Kyle B, Nudelman Kelly Nicole Holohan, Touroutoglou Alexandra, Jack Clifford R, Vemuri Prashanthi, Vogel Jacob W, Dufault Suzanne M, Hoffmann Thomas J, Carrillo Maria C, Dickerson Bradford C, Apostolova Liana G, Rabinovici Gil D, La Joie Renaud

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Аннотация

The growing availability of large-scale biomarker datasets has allowed data-driven methods to characterize Alzheimer's disease biological heterogeneity. However, most prior studies have focused on cohorts of late-onset amnestic cases, leaving early-onset Alzheimer's disease underexplored. We aimed to characterize tau-PET-based subtypes through a robust data-driven approach in the Longitudinal Early-Onset Alzheimer's Disease Study. Baseline [18F]Flortaucipir PET scans from 365 amyloid-PET-positive participants with sporadic early-onset Alzheimer's disease were quantified in the left and right medial temporal, lateral temporal, occipital, parietal, and frontal cortices. Tau PET values were z-scored against 85 amyloid-PET-negative cognitively normal age-matched participants and fitted into Subtype and Stage Inference (SuStaIn)-an unsupervised clustering algorithm that simultaneously models subtypes and progression from cross-sectional data. The derived subtypes were subsequently characterized by baseline and longitudinal clinical, cognitive, MRI, tau and amyloid PET features. We identified three tau-PET-based subtypes: on average, Subtype 1/Typical (n = 144, 40%) showed a predominant bilateral temporoparietal pattern typical of Alzheimer's disease. Subtype 2/Left temporal (n = 111, 31%) showed predominant left temporal binding. Subtype 3/Posterior (n = 104, 29%) showed early and permeating occipitoparietal involvement. Subtypes did not differ in demographics or global amyloid burden, but were relatively more enriched for specific clinical presentations: S1/Typical for amnestic presentations, S2/Left Temporal for primary progressive aphasia, and S3/Posterior for posterior cortical atrophy. Baseline tau PET subtypes aligned with cortical atrophy patterns and domain-specific cognitive impairment. When follow-up tau PET scans were fitted to SuStaIn trained on baseline data, 85.6% (n = 172/201) of participants retained the same subtype classification, indicating subtype temporal stability, and progressed within subtypes by 0.56 ± 0.70 SuStaIn stage/year. Longitudinal voxel-wise linear mixed-effects modelling revealed tau accumulation patterns for each subtype in regions relatively spared at baseline: occipital lobe accumulation predominated in S1/Typical, bilateral frontal and right temporal in S2/Left Temporal, and bilateral frontotemporal lobes in S3/Posterior. All subtypes showed longitudinal increases in Clinical Dementia Rating-Sum of Boxes, but with slower worsening in S3/Posterior compared with the other subtypes. Our findings reveal robust subtypes in sporadic early-onset Alzheimer's disease characterized by distinct spatiotemporal tau patterns that parallel differences in clinical presentations and trajectories of neurodegeneration. These subtypes extend beyond traditional clinical syndromes and support a more nuanced framework for individualized prognosis and care. Incorporating tau PET subtyping into clinical trial design could enable more targeted therapeutic approaches for this younger population.

Для цитирования: Lin Marlene, Chiotis Konstantinos, Maiti Piyush, Zhang Jiaxiuxiu, Blazhenets Ganna, Rocha Salma, Shankar Ranjani, Amuiri Alinda, Hammers Dustin B, Eloyan Ani, Kirby Kala, Koeppe Robert A, Aisen Paul, Beckett Laurel, Kukull Walter A, Toga Arthur W, Atri Alireza, Clark David G, Day Gregory S, Duara Ranjan, Graff-Radford Neill R, Grant Ian, Honig Lawrence S, Johnson Erik C B, Jones David T, Masdeu Joseph C, Mendez Mario F, Musiek Erik, Onyike Chiadi U, Riddle Meghan, Rogalski Emily, Salloway Stephen, Sha Sharon J, Turner Raymond Scott, Wingo Thomas S, Wolk David A, Womack Kyle B, Nudelman Kelly Nicole Holohan, Touroutoglou Alexandra, Jack Clifford R, Vemuri Prashanthi, Vogel Jacob W, Dufault Suzanne M, Hoffmann Thomas J, Carrillo Maria C, Dickerson Bradford C, Apostolova Liana G, Rabinovici Gil D, La Joie Renaud. Tau topography subtypes account for clinical heterogeneity and longitudinal trajectories in early-onset Alzheimer's disease.. Brain communications. 2026. DOI: 10.1093/braincomms/fcag176.
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