Evidence map›Paper›PMID 41256116›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Characterizing amyloid and tau PET-based stages across the clinical continuum.

Karly A Cody, Andrzej Sokołowski, Emily Johns, Lucah Medina Guerra, Joseph R Winer, Christina B Young, Kyan Younes, Logan Dumitrescu, Derek B Archer, Alaina Durant and 13 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Andrzej Sokołowski
Emily Johns
Lucah Medina Guerra
Christina B YoungORCID 0000-0001-9535-2137
Kyan Younes
Alaina Durant
Aditi Sathe
Mary Ellen I Koran
Jesse Mez
Arthur Toga
Michael Cuccaro
Duygu Tosun
Philip S Insel
Sterling C Johnson
Theresa M Harrison
Elizabeth C Mormino
A4 and ADNI Study Teams

Funding

MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2M
Linking basal forebrain and entorhinal cortex vulnerability to preclinical Alzheimer's diseaseK01AG078443 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI Theresa M. Harrison · 2022 to 2026
$656k
Neuroimaging and genetics of the glymphatic system in Alzheimer's diseaseK23AG090733 · NIA · STANFORD UNIVERSITY · PI Kyan Younes · 2025 to 2026
$332k
NIA NIH HHS K01 AG078443NIA NIH HHS K23 AG090733NLM NIH HHS T15 LM007056
6 · The paper itself

Abstract

Staging the severity of Alzheimer's disease pathology using biomarkers is central to early detection and therapeutic trial design. In this cross-sectional study, we standardized amyloid and tau PET data across multiple cohorts to characterize the frequency of amyloid and tau PET-based stages across the clinical continuum. We examined amyloid and tau severity in 10,396 participants (mean [SD] age, 71.9 [7.1] years) with amyloid PET imaging and a subset (n = 3,295) with tau PET imaging. Clinical stage was defined using cohort-specific criteria and categorized as cognitively unimpaired (n = 7,764), mild cognitive impairment (n = 1,480), or dementia (n = 1,152). Amyloid positivity was defined as ≥25 centiloids and amyloid severity was staged using centiloids bins (e.g., <10, 10-24, 25-49, 50-74, 75-99, ≥100). Tau PET severity was staged using a hierarchical Braak staging schema (e.g., T-, T12+, T34+, T56+), and combined with amyloid status to operationalize PET-based Alzheimer's disease biological stages (e.g., Stage A: A+T-; Stage B: A+T12+; Stage C: A+T34+; Stage D: A+T56+). The cumulative probabilities of PET-based stages were estimated using ordinal logistic regression models. In cognitively unimpaired individuals, the frequency of amyloid levels ≥10 centiloids increased with age. Similarly, amyloid levels ≥25 centiloids increased with age in mild cognitive impairment. Overall, elevated amyloid (≥25 CL) was more likely with increasing age among non-demented individuals. By contrast, this age association was attenuated in dementia where severe amyloid burden (e.g., ≥100 CL) was most common. In the tau PET subsample (n = 3,295), there was a three-way interaction between amyloid, age, and clinical impairment on likelihood of tau severity. Both higher amyloid and greater clinical impairment were associated with increased tau severity; however, the strength and direction of these associations varied with age. At lower amyloid levels, the odds of tau severity increased with older age among cognitively unimpaired and mild cognitive impairment. Conversely, at higher amyloid levels, the odds of higher tau severity (e.g., T56+) decreased with older age in mild cognitive impairment and dementia. A similar age-related pattern was observed in the frequency of biological stages (n = 1,154), where Stage D (e.g., A+T56+) was most frequent in younger individuals with dementia. These findings underscore the dual importance of amyloid and tau PET severity as biomarkers for staging and characterizing Alzheimer's disease progression. They also demonstrate the feasibility of applying PET-based staging frameworks for the diagnosis of Alzheimer's disease across multiple tracers and cohorts.

Identifiers

PMID41256116
PMCPMC12622136

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.