Evidence map›Paper›PMID 41322203›Full record

ArticleBrain communications2025

Characterizing the onset and progression of Alzheimer's pathologies using amyloid and tau PET imaging and plasma p-tau217.

Karly A Cody, Rebecca E Langhough, Shorena Janelidze, Erin M Jonaitis, Rachael E Wilson, Bradley T Christian, Sanjay Asthana, Sterling C Johnson, Henrik Zetterberg, Oskar Hansson and 1 more

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Karly A CodyWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.ORCID https://orcid.org/0000-0001-5996-2560
Rebecca E LanghoughWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Shorena JanelidzeClinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund 205 02, Sweden.
Erin M JonaitisWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Rachael E WilsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Bradley T ChristianWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Sanjay AsthanaWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Henrik ZetterbergWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.ORCID https://orcid.org/0000-0003-3930-4354
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund 205 02, Sweden.ORCID https://orcid.org/0000-0001-8467-7286
Tobey J BetthauserWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.ORCID https://orcid.org/0000-0001-8856-1352

Funding

Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Barbara Brigitta Bendlin · 2019 to 2026
$34.5M
The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
Multi-cohort study of factors that influence Alzheimer's disease biomarker and dementia timingR01AG080766 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI TOBEY JAMES BETTHAUSER · 2023 to 2026
$3.1M
Prospective validation and implementation of high-performing blood biomarkers and digital cognitive tests for detection of Alzheimer's disease in specialist memory clinic and primary care settingsR01AG083740 · NIA · LUNDS UNIVERSITET · PI Sebastian Palmqvist · 2023 to 2026
$1.9M
Biograph Horizon PET/CTS10OD025245 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTIAN, BRADLEY T · 2018 to 2018
$1.3M
NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG080766NIA NIH HHS R01 AG083740NIH HHS S10 OD025245
6 · The paper itself

Abstract

Characterizing the onset and progression of Alzheimer's disease pathologies relative to one another is important for biological staging and clinical trial design. Recent advances in blood plasma assays of Alzheimer's disease amyloid and tau pathology have enabled detection of Alzheimer's disease pathophysiology during life, but it remains unclear when plasma biomarker abnormalities are detectable relative to established amyloid and tau PET imaging biomarkers, and the extent to which plasma biomarkers can be used for biological disease staging. This work applies a novel temporal modelling approach to amyloid PET and plasma p-tau217 data from two different assay platforms to characterize when plasma p-tau217 become abnormal relative to amyloid PET, tau PET, and cognitive decline in a predominantly cognitively unimpaired cohort. This study included a subset of 172 Wisconsin Registry for Alzheimer's Prevention participants (mean (standard deviation (SD)) age at baseline plasma = 63.2 (6.3) years; 149 cognitively unimpaired at last cognitive assessment) with available amyloid PET imaging and plasma p-tau217 data assayed on the Lilly Meso Scale Delivery and Quanterix Alzpath platforms. We estimated the within-person onsets of detectable amyloid PET and plasma p-tau217 using sampled iterative local approximation and investigated the impact of this timing on downstream tau PET accumulation and cognitive decline using linear mixed-effects models. Longitudinal modelling revealed that on average, amyloid PET positivity preceded p-tau217 positivity, and both amyloid and p-tau217 preceded detectable changes in brain tau accumulation. Comparisons of 'time from biomarker onset' indicated that time from p-tau217 onset explained more variability in tau PET accumulation and cognitive decline than time from amyloid PET onset for the Lilly assay but did not differ for the Alzpath assay. Overall, the timing between amyloid PET and p-tau217 onset (in a subset positive for both) ranged from -5.5-24.6 years. These results suggest that plasma p-tau217 follows a predictable path once above thresholds thereby enabling estimation of p-tau217 + age and suggesting these assays may be useful for disease staging. Information regarding the timing of abnormal detection of amyloid PET, plasma p-tau217, and tau PET in relation to preclinical cognitive decline suggests that an optimal window for secondary prevention of Alzheimer's disease may be within ten years of amyloid PET positivity and within five years of plasma p-tau217 positivity. Future work is needed to identify sources of observed interindividual heterogeneity in the timing of biomarker abnormalities and cognitive decline and impairment following biomarker positivity.

Indexed as

Alzheimer’samyloidp-tau217tautiming

Identifiers

PMID41322203
PMCPMC12661573

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Registered trials

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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.