Evidence map›Paper›PMID 32552841›Full record

ArticleMolecular neurodegeneration2020

Identification of novel cerebrospinal fluid biomarker candidates for dementia with Lewy bodies: a proteomic approach.

Inger van Steenoven, Marleen J A Koel-Simmelink, Leonie J M Vergouw, Betty M Tijms, Sander R Piersma, Thang V Pham, Claire Bridel, Gian-Luca Ferri, Cristina Cocco, Barbara Noli and 10 more

Open access · goldAbstract read
In one paragraph

Article in Molecular neurodegeneration, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 91 citations in OpenAlex.

  1. Pooled it
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  12. Plasma tau biomarkers are distinctly associated with tau tangles and decreased with Lewy body pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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  14. Review
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  19. Review
  20. Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024
    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

20 authors at 6 institutions in 4 countries.

Inger van SteenovenAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands. i.vansteenoven@amsterdamumc.nl.ORCID 0000-0002-9801-2848
Marleen J A Koel-SimmelinkNeurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Leonie J M VergouwAlzheimer Center Erasmus MC, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Betty M TijmsAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.
Sander R PiersmaOncoProteomics Laboratory, Department of Medical Oncology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Thang V PhamOncoProteomics Laboratory, Department of Medical Oncology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Claire BridelNeurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Gian-Luca FerriNEF-laboratory, Department of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Cristina CoccoNEF-laboratory, Department of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Barbara NoliNEF-laboratory, Department of Biomedical Sciences, University of Cagliari, Monserrato, Italy.
Paul F WorleySolomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, USA.
Mei-Fang XiaoSolomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, USA.
Desheng XuSolomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, USA.
Patrick OecklDepartment of Neurology, Ulm University Hospital, Ulm, Germany.
Markus OttoDepartment of Neurology, Ulm University Hospital, Ulm, Germany.
Wiesje M van der FlierAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.
Frank Jan de JongAlzheimer Center Erasmus MC, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Connie R JimenezOncoProteomics Laboratory, Department of Medical Oncology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Afina W LemstraAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.
Charlotte E TeunissenNeurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
Amsterdam Neuroscience · NLAmsterdam University Medical Centers · NLJohns Hopkins University · USUniversity of Cagliari · ITErasmus MC · NLUniversity Hospital Ulm · DE

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
De novo Synthesis and MemoryR35NS097966 · NINDS · JOHNS HOPKINS UNIVERSITY · PI WORLEY, PAUL F · 2017 to 2024
$4.3M
NIA NIH HHS P30 AG066507NINDS NIH HHS R35 NS097966
6 · The paper itself

Abstract

backgroundDiagnosis of dementia with Lewy bodies (DLB) is challenging, largely due to a lack of diagnostic tools. Cerebrospinal fluid (CSF) biomarkers have been proven useful in Alzheimer's disease (AD) diagnosis. Here, we aimed to identify novel CSF biomarkers for DLB using a high-throughput proteomic approach.

methodsWe applied liquid chromatography/tandem mass spectrometry with label-free quantification to identify biomarker candidates to individual CSF samples from a well-characterized cohort comprising patients with DLB (n = 20) and controls (n = 20). Validation was performed using (1) the identical proteomic workflow in an independent cohort (n = 30), (2) proteomic data from patients with related neurodegenerative diseases (n = 149) and (3) orthogonal techniques in an extended cohort consisting of DLB patients and controls (n = 76). Additionally, we utilized random forest analysis to identify the subset of candidate markers that best distinguished DLB from all other groups.

resultsIn total, we identified 1995 proteins. In the discovery cohort, 69 proteins were differentially expressed in DLB compared to controls (p < 0.05). Independent cohort replication confirmed VGF, SCG2, NPTX2, NPTXR, PDYN and PCSK1N as candidate biomarkers for DLB. The downregulation of the candidate biomarkers was somewhat more pronounced in DLB in comparison with related neurodegenerative diseases. Using random forest analysis, we identified a panel of VGF, SCG2 and PDYN to best differentiate between DLB and other clinical groups (accuracy: 0.82 (95%CI: 0.75-0.89)). Moreover, we confirmed the decrease of VGF and NPTX2 in DLB by ELISA and SRM methods. Low CSF levels of all biomarker candidates, except PCSK1N, were associated with more pronounced cognitive decline (0.37 < r < 0.56, all p < 0.01).

conclusionWe identified and validated six novel CSF biomarkers for DLB. These biomarkers, particularly when used as a panel, show promise to improve diagnostic accuracy and strengthen the importance of synaptic dysfunction in the pathophysiology of DLB.

Indexed as

AgedAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersCognitive DysfunctionCohort StudiesDementiaFemaleHumansLewy Body DiseaseMaleMiddle AgedPeptide FragmentsProteomicstau ProteinsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau ProteinsBiomarkersCerebrospinal fluidDementia with Lewy bodiesLewy body dementiaProteomics

Identifiers

PMID32552841
PMCPMC7301448
OpenAlexW3036301115

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.