Evidence map›Paper›PMID 41383055›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Plasma biomarkers, brain amyloid-beta pathology, and cortical thickness in a non-Hispanic White and Black/African American middle-aged community cohort: The HCP-CoBRA study.

Shayna T Brodman, Nicholas Heaton, Gallen Triana-Baltzer, Xuemei Zeng, Alexandra Gogola, M Ilyas Kamboh, Victor L Villemagne, Oscar L Lopez, Hartmuth Kolb, Rebecca A Deek and 2 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Usage and positivity rates of Alzheimer's disease biomarkers in a memory clinic.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Shayna T BrodmanDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Nicholas HeatonDepartment of Biostatistics and Health Data Science, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Gallen Triana-BaltzerNeuroscience Biomarkers, Johnson & Johnson, La Jolla, California, USA.
Xuemei ZengDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Alexandra GogolaAlzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
M Ilyas KambohAlzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Victor L VillemagneDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Oscar L LopezAlzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Hartmuth KolbNeuroscience Biomarkers, Johnson & Johnson, La Jolla, California, USA.
Rebecca A DeekDepartment of Biostatistics and Health Data Science, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Ann D CohenDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Thomas K KarikariDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-1422-4358

Funding

Vascular Moderators of the Impact of Alzheimer's Pathology in the Young-OldP01AG025204 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Ann D. Cohen · 2005 to 2026
$56.5M
Longitudinal multicenter head-to-head harmonization of tau PET tracersR01AG073267 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAKER, SUZANNE L, PASCOAL, THARICK · 2021 to 2025
$41.1M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI C. Elizabeth Shaaban · 2020 to 2026
$29.4M
Mild Cognitive Impairment: A Prospective Community StudyR37AG023651 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Carmen Andreescu, MARY GANGULI · 2021 to 2026
$18.2M
Plasma brain-derived tau: a novel Alzheimer’s disease-type neurodegeneration biomarker with potential to complete the AT(N) scheme in bloodR01AG083874 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Thomas K Karikari · 2023 to 2026
$14.5M
The RAW Brain - The Effect of Rumination, Anxiety and Worry on Aging and Dementia RiskR01MH108509 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Carmen Andreescu · 2016 to 2026
$10.6M
Predictors of Altered CNS Structure, Function, and Connectomics in the Elderly using a Health Disparities FrameworkR01AG072641 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ann D. Cohen · 2022 to 2026
$9.6M
Alzheimer Diagnosis in older Adults with Chronic Conditions ADACC NetworkU24AG082930 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicole R. Fowler, Thomas K Karikari · 2023 to 2026
$7.3M
Examining the Persistence of Neurocognitive Benefits of ExerciseR01AG083156 · NIA · ADVENTHEALTH ORLANDO · PI ERICKSON, KIRK I · 2023 to 2025
$6.8M
Analytical characterization and validation of blood-biomarkers for monitoring TBI evolutionU01NS131740 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ramon Diaz-Arrastia, Ava M. Puccio · 2024 to 2026
$4.7M
Roles of Gray Matter Brain Aging and Small Vessel Disease in AD PathophysiologyR01AG025516 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Victor Luis Villemagne · 2024 to 2026
$4.4M
Head-to-head comparisons of high-performance plasma phospho-tau epitopes for the detection of Alzheimer's diseaseR01AG075336 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Tharick Pascoal · 2022 to 2026
$3.7M
Aging Mind Foundation DAF2255207Anbridge Charitable FundDoD HT94252320064Karikari LaboratoryNIA NIH HHS P01 AG025204NIA NIH HHS P30 AG066468NIA NIH HHS R01 AG025516NIA NIH HHS R01 AG072641NIA NIH HHS R01 AG073267NIA NIH HHS R01 AG075336NIA NIH HHS R01 AG083156NIA NIH HHS R01 AG083874NIA NIH HHS R37 AG023651NIA NIH HHS RF1 AG077474NIA NIH HHS U24 AG082930NIH/NIA U24AG082930 P30 AG066468 RF1 AG077474 R01 AG083156 R37 AG023651 R01 AG025516 R01 AG073267 R01 AG075336 R01 AG072641 P01 AG025204NIH/NIA) R01AG083874NIH/NINDS U01 NS131740 U01 NS141777NIMH NIH HHS R01 MH108509NINDS NIH HHS U01 NS131740NINDS NIH HHS U01 NS141777University of Pittsburgh
6 · The paper itself

Abstract

introductionWe evaluated plasma biomarker association with, and classification accuracies for, amyloid beta-positron emission tomography (Aβ-PET) and cortical thickness in the biracial Human Connectome Project-Connectomics in Brain Aging (HCP-CoBRA) cohort (53% Black/African American [B/AA] and 47% non-Hispanic White [NHW]).

methodsIn n = 218 participants (median age 62, range: 57-71] years, 65% female and 15% Aβ-PET positive), plasma biomarkers (phosphorylated tau-181 [p-tau181], p-tau217, p-tau231, glial fibrillary acidic protein [GFAP], neurofilament light chain [NfL], and Aβ42/Aβ40) were compared to Aβ-PET and magnetic resonance imaging (MRI) neuroimaging indicators.

resultsPlasma p-tau217 (Johnson & Johnson and ALZpath [areas under the curve [AUCs] = 0.915 vs. 0.919]) had high sensitivity and specificity (>85%) for Aβ-PET status. All plasma biomarkers except p-tau231 effectively ruled out Aβ pathology (negative predictive value [NPV] >95%) but only Johnson & Johnson p-tau217+ was good for confirmation (covariate-adjusted positive predictive value [PPV] = 0.909). The plasma biomarkers performed poorly for identifying cortical thickness status but were elevated according to joint Aβ-PET and neurodegeneration profiles. Plasma biomarker accuracies for Aβ-PET positivity were unaffected by self-identified race, except for ALZpath p-tau217 (p = 0.024). However, correlations with Aβ-PET standardized uptake value ratio varied by self-identified race. DISCUSSION: Plasma p-tau217 is a promising tool for Alzheimer's disease-associated Aβ pathology in older/middle-aged individuals. However, apparent race-related performances should be further studied. HIGHLIGHTS: Plasma phosphorylated tau-217 (p-tau217) and glial fibrillary acidic protein (GFAP) best predicted abnormal brain amyloid beta-positron emission tomography (Aβ-PET). Plasma p-tau217 accurately identified abnormal Aβ-PET (Johnson & Johnson p-tau217: area under the curve [AUC] = 0.9145, 95% confidence interval [CI] = 0.8367-0.9923; ALZpath p-tau217: AUC = 0.9198, 95% CI = 0.8585-0.981) followed by GFAP and Aβ42/40 ratio (GFAP: AUC = 0.8529, 95% CI = 0.7485-0.9573; Aβ42/40:AUC = 0.7962, 95% CI = 0.6581-0.9346). All plasma biomarkers performed poorly in identifying cortical thickness, despite being higher according to combined Aβ-PET and neurodegeneration profiles. Correlations of p-tau217 (Johnson & Johnson p < 0.001), p-tau181 (p = 0.005), and Aβ42/40 (p = 0.004) with Aβ-PET in predicting amyloid burden were stronger in self-identified non-Hispanic Whites vs Black/African Americans. Biomarker accuracies for Aβ-PET positivity were unaffected by self-identified race, except ALZpath p-tau217 (p = 0.024).

Indexed as

Amyloid beta-PeptidesBrainBrain Cortical ThicknessCerebral CortexAgedAlzheimer DiseaseBiomarkersBlack or African AmericanCohort StudiesFemaleGlial Fibrillary Acidic ProteinHumansMagnetic Resonance ImagingMaleMiddle AgedNeurofilament ProteinsAmyloid beta-PeptidesBiomarkersGlial Fibrillary Acidic ProteinNeurofilament Proteinstau ProteinsAlzheimer's diseaseamyloid‐beta pathologyneurodegenerationneuroimagingplasma biomarkersracial disparitiesSimoa

Identifiers

PMID41383055
PMCPMC12698945

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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.