Evidence map›Paper›PMID 40329321›Full record

ArticleMolecular neurodegeneration2025

Cerebrospinal fluid proteome profiling across the Alzheimer's disease continuum: a step towards solving the equation for 'X'.

Sophia Weiner, Mathias Sauer, Laia Montoliu-Gaya, Andrea L Benedet, Nicholas J Ashton, Fernando Gonzalez-Ortiz, Joel Simrén, Nesrine Rahmouni, Cecile Tissot, Joseph Therriault and 9 more

Abstract read
In one paragraph

Article in Molecular neurodegeneration, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

19 authors.

Sophia WeinerDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden. sophia.weiner@gu.se.ORCID 0009-0000-2298-220X
Mathias SauerDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Laia Montoliu-GayaDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Andrea L BenedetDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Nicholas J AshtonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Fernando Gonzalez-OrtizDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Joel SimrénDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Nesrine RahmouniMcGill University Research Centre for Studies in Aging, Montreal, QC, Canada.
Cecile TissotMcGill University Research Centre for Studies in Aging, Montreal, QC, Canada.
Joseph TherriaultMcGill University Research Centre for Studies in Aging, Montreal, QC, Canada.
Stijn ServaesMcGill University Research Centre for Studies in Aging, Montreal, QC, Canada.
Jenna StevensonMcGill University Research Centre for Studies in Aging, Montreal, QC, Canada.
Ville LeinonenDepartment of Neurosurgery, NeuroCenter, Kuopio University Hospital and Neurosurgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Tuomas RauramaaDepartment of Pathology, Kuopio University Hospital and Institute of Clinical Medicine-Pathology, University of Eastern Finland, Kuopio, Finland.
Mikko HiltunenInstitute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Pedro Rosa-NetoTranslational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, Canada.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
Johan GobomDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.

Funding

Alzheimer's Association ADSF-21-831376-CAlzheimer's Association ADSF-21-831377-CAlzheimer's Association ADSF-21-831381-CAlzheimer's Association ADSF-24-1284326-CAlzheimer's Association ADSF-24-1284328-CAlzheimer's Drug Discovery Foundation 201809-2016862EU Joint Programme - Neurodegenerative Disease Research JPND2021-00694European Partnership on Metrology 22HLT07Hjärnfonden FO2022-0270HORIZON EUROPE Marie Sklodowska-Curie Actions 860197HORIZON EUROPE Reforming and enhancing the European Research and Innovation system 101053962Sigrid Juséliuksen Säätiö 338182Sigrid Juséliuksen Säätiö 339767Sigrid Juséliuksen Säätiö 355604UK Dementia Research Institute UKDRI-1003Vetenskapsrådet 2019-02397Vetenskapsrådet 2022-01018Vetenskapsrådet 2023-00356Vetenskapsrådet ALFGBG-71320
6 · The paper itself

Abstract

backgroundWhile the temporal profile of amyloid (Aβ) and tau cerebrospinal fluid (CSF) biomarkers along the Alzheimer's disease (AD) continuum is well-studied, chronological changes of CSF proteins reflecting other disease-relevant processes, denoted 'X' in the ATX(N) framework, remain poorly understood.

methodsUsing an untargeted mass spectrometric approach termed tandem mass tag (TMT), we quantified over 1500 CSF proteins across the AD continuum in three independent cohorts, finely staged by Aβ/tau positron emission tomography (PET), fluid biomarkers, or brain biopsy. Weighted protein co-expression network analysis identified clusters of proteins robustly correlating in all three cohorts which sequentially changed with AD progression. Obtained protein clusters were correlated with fluid biomarker measurements (phosphorylated tau (p-tau) species including p-tau

resultsNeurodegeneration-related proteins (e.g., 14-3-3 proteins, PPIA), derived from different brain cell types, strongly correlated with fluid as well as imaging biomarkers and increased early in the AD continuum. Among them, the proteins SMOC1 and CNN3 were highly associated with Aβ pathology, while the 14-3-3 proteins YWHAZ and YWHAE as well as PPIA demonstrated a strong association with both Aβ and tau pathology as indexed by PET. Endo-lysosomal proteins (e.g., HEXB, TPP1, SIAE) increased early in abundance alongside neurodegeneration-related proteins, and were followed by increases in metabolic proteins such as ALDOA, MDH1, and GOT1 at the mild cognitive impairment (MCI) stage. Finally, later AD stages were characterized by decreases in synaptic/membrane proteins (e.g., NPTX2).

conclusionsOur study identified proxies of Aβ and tau pathology, indexed by PET, (SMOC1, YWHAE, CNN3) and highlighted the dynamic fluctuations of the CSF proteome over the disease course, identifying candidate biomarkers for disease staging beyond Aβ and tau.

Indexed as

Alzheimer DiseaseProteomeAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersDisease ProgressionFemaleHumansMaleMiddle AgedPositron-Emission TomographyProteomicstau ProteinsAmyloid beta-PeptidesBiomarkersProteometau ProteinsAlzheimer’s diseaseBiomarkersCerebrospinal fluidMass spectrometryTandem mass tag

Identifiers

PMID40329321
PMCPMC12057231

What Socratic holds

Textmetadata
LicenceCC BY
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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.