Evidence map›Paper›PMID 40927954›Full record

ArticleAnnals of neurology2025

Predictive Value of Plasma Biomarkers in Tau-PET Transitions.

Jonathan Graff-Radford, Jeremy A Syrjanen, Prashanthi Vemuri, Val J Lowe, Christopher G Schwarz, Heather J Wiste, Walter K Kremers, Alicia Algeciras-Schimnich, Alexa Pichet Binette, Ruben Smith and 8 more

Abstract read
In one paragraph

Article in Annals of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Plasma eMTBR-tau243 as a disease biomarker across Alzheimer's disease clinical phenotypes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. 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

18 authors.

Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-2770-0691
Jeremy A SyrjanenDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-4286-0589
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Christopher G SchwarzDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-1466-8357
Heather J WisteDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Walter K KremersDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Alicia Algeciras-SchimnichDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-4455-6217
Alexa Pichet BinetteClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID 0000-0001-5218-3337
Ruben SmithClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Niklas Mattsson-CarlgrenClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Sebastian PalmqvistClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Erik StomrudClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-6544-066X
Petrice M CogswellDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-8178-6601
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.ORCID 0000-0001-8467-7286
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2019 to 2026
$33.5M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
"What is N?" Towards operationalizing neurodegeneration in Alzheimer's and related dementiasRF1AG069052 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, MIELKE, MICHELLE M · 2021 to 2021
$2.4M
NIA NIH HHS P30 AG062677NIA NIH HHS R01 AG034676NIA NIH HHS R33 AG058738NIA NIH HHS R37 AG011378NIA NIH HHS RF1 AG069052NIA NIH HHS U01 AG006786
6 · The paper itself

Abstract

objectiveThe objective of this study was to determine the predictive value of amyloid-positron emission tomography (PET) versus the plasma ratio of phosphorylated tau at threonine 217 (p-tau217) to non-phosphorylated tau217 (%p-tau217) for tau-PET transitions (T- to T+). The added value of combining plasma amyloid-β 42 and amyloid-β 40 (Aβ42/40) and %p-tau217 into an amyloid probability score (APS2) was also assessed.

methodsMayo Clinic Study of Aging (MCSA) participants had plasma markers measured at via mass spectrometry (MS), an amyloid-PET scan, and a tau-PET (meta-temporal region of interest [ROI]) negative scan (standardized uptake value ratio [SUVR] <1.29) at the index (baseline) date, along with one or more follow-up tau-PET scans. The BioFINDER-2 cohort was used for validation. Cox proportional hazards models adjusted for age, sex, and apolipoprotein (APOE) ε4 were used to assess predictors, with scaling to the interquartile range (IQR) for comparability of hazard ratios (HR).

resultsAmong 255 tau-PET negative MCSA participants (median age: 71.9 years), 37 converted to tau-PET positive (median follow-up time: 3.81 years). Higher %p-tau217 (HR: 1.52 [95% CI: 1.28-1.80]), amyloid-PET centiloid (HR: 1.47 [95% CI: 1.20-1.79]), and APS2 (HR: 1.62 [95% CI: 1.22-2.16]) predicted tau-PET conversion. However, Aβ42/40 (HR: 0.94 [95% CI: 0.54-1.66]) was not associated with tau-PET conversion. In the BioFINDER-2 cohort (605 tau-negative, median age: 70.2), 33 converted to tau-positive (median follow-up time: 2 years), with higher %p-tau217 (HR: 1.80 [95% CI: 1.50-2.17]), amyloid-PET centiloid (HR: 2.29 [95% CI: 1.77-2.97]), and lower Aβ42/40 (HR: 2.38 [95% CI: 1.17-4.83]) predicting conversion.

interpretationIn two cohorts, %p-tau217 was associated with tau-PET conversion, comparable to amyloid-PET. APS2 also predicted conversion in the MCSA cohort, whereas Aβ42/40 predicted conversion in the BioFINDER-2 cohort, which had more individuals with cognitive impairment. ANN NEUROL 2025;98:1249-1260.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesPositron-Emission Tomographytau ProteinsAgedAged, 80 and overBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedPeptide FragmentsPredictive Value of TestsAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersMAPT protein, humanPeptide Fragmentstau Proteins

Identifiers

PMID40927954
PMCPMC13102163

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.