Evidence map›Paper›PMID 40678230›Full record

ArticleResearch square2025

High-sensitivity plasma proteomics reveals disease-specific signatures and predictive biomarkers of Alzheimer's disease phenotypes in a large mixed dementia cohort.

Katherine Gong, Jigyasha Timsina, Muhammad Ali, Yike Chen, Menghan Liu, Ciyang Wang, Cyril Pottier, Geoffrey K Feld, Gyujin Heo, Tammie L S Benzinger and 9 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

5 · Who and what money

Authors and funding

19 authors.

Katherine GongWashington University School of Medicine.
Jigyasha TimsinaWashington University School of Medicine.
Muhammad AliWashington University School of Medicine.
Yike ChenWashington University School of Medicine.
Menghan LiuWashington University School of Medicine.
Ciyang WangWashington University School of Medicine.
Cyril PottierWashington University School of Medicine.
Geoffrey K FeldGeocyte LLC.
Gyujin HeoWashington University School of Medicine.
Tammie L S BenzingerWashington University School of Medicine.
Cyrus A RajiWashington University School of Medicine.
Beau AncesWashington University.
Brian A GordonWashington University.
Julie K WischWashington University.
Suzanne E SchindlerWashington University School of Medicine.
John C MorrisWashington University School of Medicine.
David M HoltzmanWashington University School of Medicine.
Laura IbanezWashington University School of Medicine.
Carlos CruchagaWashington University School of Medicine.

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
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
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
The Familial Alzheimer Sequencing (FASe) ProjectU01AG058922 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2018 to 2022
$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
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG044546NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG074007NIA NIH HHS U01 AG058922
6 · The paper itself

Abstract

Highly sensitive plasma assays enable accurate blood-based biomarkers for neurodegenerative disease and provide minimally invasive options for clinical use. Large-scale studies encompassing multiple neurodegenerative diseases and utilizing multiplex platforms are essential to uncover disease-specific biomarkers and pathways. We generated and analyzed plasma proteomics using the NULISASeq

Indexed as

CNS protein profilingNeurodegeneration diagnosticsPlasma assaysPlasma-based diagnostics

Identifiers

PMID40678230
PMCPMC12270213

What OpenQuestion holds

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LicenceCC BY
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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.