Evidence map›Paper›PMID 40394224›Full record

ArticleNature aging2025

Large-scale plasma proteomic profiling unveils diagnostic biomarkers and pathways for Alzheimer's disease.

Gyujin Heo, Ying Xu, Erming Wang, Muhammad Ali, Hamilton Se-Hwee Oh, Patricia Moran-Losada, Federica Anastasi, Armand González Escalante, Raquel Puerta, Soomin Song and 28 more

Registry-linked trialAbstract read
In one paragraph

Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07516119 (Assessing Tools That Predict and Stage Mild Cognitive Impairment), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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.

NCT07516119 recruitingnot on this mapstarted 2026, after this paper: background citation

Assessing Tools That Predict and Stage Mild Cognitive Impairment

TypeobservationalSponsorPrevention Research Consortium Corp.Ran2026 to 2029Enrolled100ConditionsMild Cognitive Impairment (MCI), Alzheimer Dementia (AD), Alzheimer Disease (AD), APOE-4 Positive
3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Review
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  11. Blood-based proteomic signature of amyloidosis: identification of novel regulators of amyloid load.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  12. Observational
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  18. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors.

Gyujin Heo *Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0003-3499-2848
Ying Xu *Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Erming WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Muhammad AliDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-1399-6631
Hamilton Se-Hwee OhGraduate Program in Stem Cell and Regenerative Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8192-7593
Patricia Moran-LosadaThe Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
Federica AnastasiBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.ORCID http://orcid.org/0000-0002-9304-5421
Armand González EscalanteBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Raquel PuertaAce Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.ORCID http://orcid.org/0000-0002-1191-5893
Soomin SongDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0009-0003-3201-6031
Jigyasha TimsinaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Menghan LiuDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Daniel WesternDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0003-3725-9553
Katherine GongDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0009-0008-7614-9545
Yike ChenDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Pat KohlfeldDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0009-0004-9206-8244
Allison FlynnDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Alvin G ThomasDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0003-4911-8192
Joseph LoweryDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
John C MorrisDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
David M HoltzmanDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-3400-0856
Joel S PerlmutterDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0003-3263-8917
Suzanne E SchindlerDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-1680-1465
Natalia Vilor-TejedorBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.ORCID http://orcid.org/0000-0003-4935-6721
Marc Suárez-CalvetBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.ORCID http://orcid.org/0000-0002-2993-569X
Pablo García-GonzálezAce Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.ORCID http://orcid.org/0000-0003-0125-5403
Marta MarquiéAce Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.
Maria Victoria FernándezAce Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.
Mercè BoadaAce Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.ORCID http://orcid.org/0000-0003-2617-3009
Amanda CanoAce Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.
Agustín RuizAce Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.
Bin ZhangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
Tammie BenzingerDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-8114-0552
Tony Wyss-CorayWu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5893-0831
Laura IbanezDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Yun Ju SungDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-8021-4070
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. cruchagac@wustl.edu.ORCID http://orcid.org/0000-0002-0276-2899

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI Lisa Goldman Rosas · 2020 to 2026
$29.0M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targetsU01AG061356 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2018 to 2022
$13.7M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITSRF1AG053303 · NIA · WASHINGTON UNIVERSITY · PI CLIMER, SHARLEE, CRUCHAGA, CARLOS · 2016 to 2020
$4.0M
GENETIC MODIFIERS OF CEREBROSPINAL FLUID TREM2 IN ALZHEIMER'S DISEASERF1AG058501 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, PICCIO, LAURA · 2018 to 2018
$3.5M
NIA NIH HHS K00 AG073565NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066515NIA NIH HHS P30 AG072975NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG044546NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG074007NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG058922NIA NIH HHS U01 AG061356U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG044546
6 · The paper itself

Abstract

Proteomic studies have been instrumental in identifying brain, cerebrospinal fluid and plasma proteins associated with Alzheimer's disease (AD). Here, we comprehensively examined 6,905 aptamers corresponding to 6,106 unique proteins in plasma in more than 3,300 well-characterized individuals to identify new proteins, pathways and predictive models for AD. We identified 416 proteins (294 new) associated with clinical AD status and validated the findings in two external datasets representing more than 7,000 samples. AD-related proteins reflected blood-brain barrier disruption and other processes implicated in AD, such as lipid dysregulation or immune responses. A machine learning model was used to identify a set of seven proteins that were highly predictive of both clinical AD (area under the curve (AUC) of >0.72) and biomarker-defined AD status (AUC of >0.88), which were replicated in multiple external cohorts and orthogonal platforms. These findings underscore the potential of using plasma proteins as biomarkers for the early detection and monitoring of AD and for guiding treatment decisions.

Indexed as

Alzheimer DiseaseBiomarkersBlood ProteinsProteomicsAgedAged, 80 and overFemaleHumansMachine LearningMaleBiomarkersBlood Proteins

Identifiers

PMID40394224
PMCPMC12674600

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Registered trials

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.