Evidence map›Paper›PMID 40088886›Full record

ArticleNeuron2025

Multi-cohort cerebrospinal fluid proteomics identifies robust molecular signatures across the Alzheimer disease continuum.

Muhammad Ali, Jigyasha Timsina, Daniel Western, Menghan Liu, Aleksandra Beric, John Budde, Anh Do, Gyujin Heo, Lihua Wang, Jen Gentsch and 24 more

Abstract read
In one paragraph

Article in Neuron, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. MIND diet-related plasma proteins are associated with Alzheimer's disease risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  6. 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
  7. Article
  8. Article
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  10. Engulfment by brain macrophages in a short-lived vertebrate.bioRxiv : the preprint server for biology · 2026
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  12. Article
  13. Review
  14. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors.

Muhammad AliDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Jigyasha TimsinaDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Daniel WesternDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Menghan LiuDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Aleksandra BericDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
John BuddeDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Anh DoDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Gyujin HeoDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Lihua WangDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Jen GentschDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Suzanne E SchindlerDepartment of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA.
John C MorrisDepartment of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA.
David M HoltzmanDepartment of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA.
Agustin RuizACE Alzheimer Center Barcelona, Barcelona, Spain.
Ignacio AlvarezFundació Docència i Recerca Mútua de Terrassa, Terrassa, Barcelona, Spain.
Miquel AguilarFundació Docència i Recerca Mútua de Terrassa, Terrassa, Barcelona, Spain.
Pau PastorFundació Docència i Recerca Mútua de Terrassa, Terrassa, Barcelona, Spain.
Jarod RutledgeWu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Hamilton OhWu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Edward N WilsonWu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Yann Le GuenWu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Rana R KhalidNCB, Quaid-i-Azam University, Islamabad, Pakistan.
Knight Alzheimer Disease Research Center (Knight ADRC)Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO 63110, USA.
Alzheimer Disease Neuroimaging Initiative (ADNI)
Fundació ACE Alzheimer Center Barcelona (FACE)
Barcelona-1
Stanford Alzheimer Disease Research Center (Stanford ADRC)
Chloe RobinsGenomic Sciences, GSK Pharma R&D, 1250 S Collegeville Rd., Collegeville, PA 19426, USA.
David J PulfordGenomic Sciences, GSK Pharma R&D, 1250 S Collegeville Rd., Collegeville, PA 19426, USA.
Rawan TarawnehThe University of New Mexico, Albuquerque, NM 87131, USA.
Laura IbanezDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Tony Wyss-CorayWu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
Yun Ju SungDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Carlos CruchagaDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO 63130, USA; Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO 63110, USA. Electronic address: cruchagac@wustl.edu.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
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
Identification and Characterization of Cell-Specific Transposable Elements Implicated on Alzheimer Disease and Healthy AgingR01AG078964 · NIA · WASHINGTON UNIVERSITY · PI Carlos Cruchaga, Bess Frost · 2022 to 2026
$9.0M
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
Sex-specific Molecular Profiling to Understand Pathology and Identify Causal Genes and Drug Targets for Alzheimer's DiseaseRF1AG074007 · NIA · WASHINGTON UNIVERSITY · PI SUNG, YUNJU · 2021 to 2021
$2.7M
IDENTIFYING RARE VARIANTS THAT INCREASE RISK FOR ALZHEIMER'S DISEASER01AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2013 to 2017
$2.7M
Genetic Architecture of Alzheimer's disease ProteinopathiesR56AG064877 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CRUCHAGA, CARLOS, KAMBOH, M. ILYAS · 2019 to 2019
$2.6M
Genetic Modifiers of TREM2 in Alzheimer's DiseaseR01AG058501 · NIA · WASHINGTON UNIVERSITY · PI Carlos Cruchaga · 2024 to 2026
$2.2M
Elucidating the Role of Endothelial Dysfunction in Alzheimer Disease: Towards A New Data-Driven Disease ModelRF1AG083744 · NIA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI TARAWNEH, RAWAN · 2023 to 2023
$2.1M
NIA NIH HHS P01 AG003991NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066515NIA NIH HHS R01 AG044546NIA NIH HHS R01 AG058501NIA NIH HHS R01 AG078964NIA NIH HHS R56 AG064877NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG074007NIA NIH HHS RF1 AG083744NIA NIH HHS U01 AG024904NIMH NIH HHS T32 MH135853
6 · The paper itself

Abstract

Changes in β-amyloid (Aβ) and hyperphosphorylated tau (T) in brain and cerebrospinal fluid (CSF) precede Alzheimer's disease (AD) symptoms, making the CSF proteome a potential avenue to understand disease pathophysiology and facilitate reliable diagnostics and therapies. Using the AT framework and a three-stage study design (discovery, replication, and meta-analysis), we identified 2,173 analytes (2,029 unique proteins) dysregulated in AD. Of these, 865 (43%) were previously reported, and 1,164 (57%) are novel. The identified proteins cluster in four different pseudo-trajectories groups spanning the AD continuum and were enriched in pathways including neuronal death, apoptosis, and tau phosphorylation (early stages), microglia dysregulation and endolysosomal dysfunction (mid stages), brain plasticity and longevity (mid stages), and microglia-neuron crosstalk (late stages). Using machine learning, we created and validated highly accurate and replicable (area under the curve [AUC] > 0.90) models that predict AD biomarker positivity and clinical status. These models can also identify people that will convert to AD.

Indexed as

Alzheimer DiseaseProteomicsAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersCohort StudiesFemaleHumansMachine LearningMaleMicrogliatau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer diseaseATNbiomarkersCSFdementia progressionmachine learningproteomicspseudo-trajectorySomaScan

Identifiers

PMID40088886
PMCPMC12067247

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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.