Evidence map›Paper›PMID 38082559›Full record

ArticleJournal of extracellular vesicles2023

Proteomic comparison between non-purified cerebrospinal fluid and cerebrospinal fluid-derived extracellular vesicles from patients with Alzheimer's, Parkinson's and Lewy body dementia.

Yael Hirschberg, Natalia Valle-Tamayo, Oriol Dols-Icardo, Sebastiaan Engelborghs, Bart Buelens, Roosmarijn E Vandenbroucke, Yannick Vermeiren, Kurt Boonen, Inge Mertens

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. bioRxiv : the preprint server for biology · 2026
    Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. LC-MS/MS proteomics identifies plasma proteins related to cognition over 9-year follow-up.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  19. Review
  20. 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

9 authors at 5 institutions in 3 countries.

Yael HirschbergHealth Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.ORCID https://orcid.org/0000-0001-7810-9303
Natalia Valle-TamayoDepartment of Neurology, Sant Pau Memory Unit, Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Oriol Dols-IcardoDepartment of Neurology, Sant Pau Memory Unit, Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Sebastiaan EngelborghsDepartment of Neurology and Bru-BRAIN, Universitair Ziekenhuis Brussel and NEUR Research Group, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Bart BuelensData Science Hub, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Roosmarijn E VandenbrouckeVIB Center for Inflammation Research, VIB, Ghent, Belgium.ORCID https://orcid.org/0000-0002-8327-620X
Yannick VermeirenFaculty of Medicine & Health Sciences, Translational Neurosciences, University of Antwerp, Antwerp, Belgium.
Kurt BoonenHealth Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Inge MertensHealth Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.
University of Antwerp · BEUniversitat Autònoma de Barcelona · ESFlemish Institute for Technological Research · BEGhent University · BEVrije Universiteit Brussel · BE

Funding

Alzheimer's Association AARF-22-924456Carlos III Health Institute FI22/00077Flemish Institute for Technological Research
6 · The paper itself

Abstract

Dementia is a leading cause of death worldwide, with increasing prevalence as global life expectancy increases. The most common neurodegenerative disorders are Alzheimer's disease (AD), dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD). With this study, we took an in-depth look at the proteome of the (non-purified) cerebrospinal fluid (CSF) and the CSF-derived extracellular vesicles (EVs) of AD, PD, PD-MCI (Parkinson's disease with mild cognitive impairment), PDD and DLB patients analysed by label-free mass spectrometry. This has led to the discovery of differentially expressed proteins that may be helpful for differential diagnosis. We observed a greater number of differentially expressed proteins in CSF-derived EV samples (N = 276) compared to non-purified CSF (N = 169), with minimal overlap between both datasets. This finding suggests that CSF-derived EV samples may be more suitable for the discovery phase of a biomarker study, due to the removal of more abundant proteins, resulting in a narrower dynamic range. As disease-specific markers, we selected a total of 39 biomarker candidates identified in non-purified CSF, and 37 biomarker candidates across the different diseases under investigation in the CSF-derived EV data. After further exploration and validation of these proteins, they can be used to further differentiate between the included dementias and may offer new avenues for research into more disease-specific pharmacological therapeutics.

Indexed as

Alzheimer DiseaseDementiaExtracellular VesiclesLewy Body DiseaseParkinson DiseaseBiomarkersHumansProteomicsBiomarkersbiomarkerscerebrospinal fluiddementiaextracellular vesiclesmass spectrometryproteomics

Identifiers

PMID38082559
PMCPMC10714029
OpenAlexW4389628425

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.