Evidence map›Paper›PMID 41738322›Full record

ArticleBrain : a journal of neurology2026

Modelling the temporal evolution of plasma p-tau217, amyloid PET, tau PET and cognition.

Petrice M Cogswell, Emily S Lundt, Terry M Therneau, Mingzhao Hu, Michael E Griswold, Heather J Wiste, Mary M Machulda, Nikki H Stricker, Joel B Braunstein, Tim West and 12 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Petrice M CogswellDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-8128-4476
Emily S LundtDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Terry M TherneauDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Mingzhao HuDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Michael E GriswoldDepartment of Data Science, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Heather J WisteDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Mary M MachuldaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA.
Nikki H StrickerDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA.
Joel B BraunsteinC2N Diagnostics, St. Louis, MO 63110, USA.
Tim WestC2N Diagnostics, St. Louis, MO 63110, USA.
Philip B VergheseC2N Diagnostics, St. Louis, MO 63110, USA.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-2770-0691
Alicia Algeciras-SchimnichDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-4455-6217
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Christopher G SchwarzDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-1466-8357
Matthew L SenjemDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Jeffrey L GunterDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-6544-066X
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-4286-0589
Ronald C PetersenDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0001-7916-622X
Alzheimer’s Disease Neuroimaging Initiative

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
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
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
"What is N?" Towards operationalizing neurodegeneration in Alzheimer's and related dementiasR01AG069052 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, MIELKE, MICHELLE M · 2024 to 2025
$1.5M
NIA NIH HHS P50 AG016574NIA NIH HHS R01 AG041851NIA NIH HHS R01 AG056366NIA NIH HHS R01 AG069052NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG006786NIH HHS 5R01AG069052-03NIH HHS P50 AG016574NIH HHS R01 AG056366NIH HHS R01 NS097495NIH HHS R37 AG011378NIH HHS RO1 AG041851NIH HHS U01 AG006786NINDS NIH HHS R01 NS097495
6 · The paper itself

Abstract

Associations of Alzheimer's disease biomarker progression with cognitive decline are important to inform patient prognosis. Of particular interest is how newly available plasma biomarkers evolve relative to cognitive decline. The goals of this work are to measure how much earlier versus later an individual's progression on plasma and PET Alzheimer's disease biomarkers is associated with earlier versus later cognitive progression and to estimate the average timeline of progression of these processes in the population. In this cohort study of 2369 Mayo Clinic Study of Aging (MCSA) and 1591 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants, we fit non-linear mixed-effects models to estimate how much earlier versus later each individual progresses on plasma phosphorylated tau (p-tau)217, amyloid PET, tau PET and auditory verbal learning test (AVLT) sum of trials relative to the population mean (individual adjustment), the associations of these individual adjustments among biomarker pairs and how covariates affect the timing of biomarker progression. The association of individual adjustments implies mechanistic associations and the amount of variability in cognitive decline accounted for by each biomarker. By applying cut-off points, we also estimated the relative timing that these biomarkers become abnormal in the population. Associations of individual adjustments were moderate between all biomarkers and AVLT (R = 0.38-0.47) in the MCSA and stronger (R = 0.74-0.81) in ADNI; plasma p-tau217 accounted for 16% of the variability in timing of AVLT decline in the MCSA and 64% in ADNI. APOE ɛ4 carriership was associated with earlier biomarker progression. AVLT became abnormal after the biomarkers up to age 90, after which AVLT was estimated to become abnormal prior to tau biomarkers. The association of the timing of plasma and PET Alzheimer's disease biomarker progression with cognitive decline was modest in the MCSA population-based sample and stronger in the Alzheimer's disease-enriched ADNI cohort. The timing of plasma p-tau217 progression explained a similar degree of variability in AVLT progression as amyloid PET, supporting its utility as a marker of disease progression. The estimated temporal ordering of biomarkers and cognitive abnormality was as anticipated (amyloid, tau, cognition) up to the age of 90, beyond which AVLT was estimated to become abnormal prior to tau biomarkers, likely related to the effects of non-Alzheimer's disease co-pathologies.

Indexed as

Alzheimer DiseaseCognitiontau ProteinsAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersCognitive DysfunctionCohort StudiesDisease ProgressionFemaleHumansMalePositron-Emission TomographyAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseaseamyloid-β PETcognitive declineplasma p-tautau PETtemporal modelling

Identifiers

PMID41738322
PMCPMC13548868

What Socratic holds

Textmetadata
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 Socratic graph.