Evidence map›Paper›PMID 32485097›Full record

ArticleMolecular systems biology2020

Proteome profiling in cerebrospinal fluid reveals novel biomarkers of Alzheimer's disease.

Jakob M Bader, Philipp E Geyer, Johannes B Müller, Maximilian T Strauss, Manja Koch, Frank Leypoldt, Peter Koertvelyessy, Daniel Bittner, Carola G Schipke, Enise I Incesoy and 6 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed, 2 pooled it
20.8field-weighted citation impact, top 1% 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

173 citing papers in PubMed, 2 syntheses or guidelines pooled it, 303 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

113 more citing papers are in PubMed but not listed here.

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

16 authors at 10 institutions in 6 countries.

Jakob M Bader *Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-6575-0609
Philipp E Geyer *Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0001-7980-4826
Johannes B MüllerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-3454-2396
Maximilian T StraussDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-3320-6833
Manja KochDepartments of Nutrition & Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-4794-4821
Frank LeypoldtInstitute of Clinical Chemistry, Faculty of Medicine, Kiel University, Kiel, Germany.
Peter KoertvelyessyDepartment of Neurology, Medical Faculty, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Daniel BittnerDepartment of Neurology, Medical Faculty, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Carola G SchipkeExperimental & Clinical Research Center (ECRC), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, & Berlin Institute of Health, Berlin, Germany.
Enise I IncesoyDepartment of Psychiatry, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin & Berlin Institute of Health, Charité Universitätsmedizin Berlin, Berlin, Germany.
Oliver PetersDepartment of Psychiatry, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin & Berlin Institute of Health, Charité Universitätsmedizin Berlin, Berlin, Germany.
Nikolaus DeigendeschInstitute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.
Mikael SimonsGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
Majken K JensenDepartments of Nutrition & Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Matthias MannDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-1292-4799
Max Planck Institute of Biochemistry · DEUniversity of Copenhagen · DKGerman Center for Neurodegenerative Diseases · DEHumboldt-Universität zu Berlin · DECharité - Universitätsmedizin Berlin · DEChristian-Albrechts-Universität zu Kiel · DEHarvard University · USOtto-von-Guericke-Universität Magdeburg · DESahlgrenska University Hospital · SEUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases are a growing burden, and there is an urgent need for better biomarkers for diagnosis, prognosis, and treatment efficacy. Structural and functional brain alterations are reflected in the protein composition of cerebrospinal fluid (CSF). Alzheimer's disease (AD) patients have higher CSF levels of tau, but we lack knowledge of systems-wide changes of CSF protein levels that accompany AD. Here, we present a highly reproducible mass spectrometry (MS)-based proteomics workflow for the in-depth analysis of CSF from minimal sample amounts. From three independent studies (197 individuals), we characterize differences in proteins by AD status (> 1,000 proteins, CV < 20%). Proteins with previous links to neurodegeneration such as tau, SOD1, and PARK7 differed most strongly by AD status, providing strong positive controls for our approach. CSF proteome changes in Alzheimer's disease prove to be widespread and often correlated with tau concentrations. Our unbiased screen also reveals a consistent glycolytic signature across our cohorts and a recent study. Machine learning suggests clinical utility of this proteomic signature.

Indexed as

ProteomicsAlzheimer DiseaseBiomarkersCohort StudiesGlycolysisHumansMachine LearningNerve DegenerationNeuronsProteomeReproducibility of Resultstau ProteinsBiomarkersProteometau ProteinsAlzheimer's diseasecerebrospinal fluidmass spectrometryneurodegenerationproteomics

Identifiers

PMID32485097
PMCPMC7266499
OpenAlexW3030835098

What OpenQuestion 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 OpenQuestion graph.