Evidence map›Paper›PMID 22046305›Full record

ArticlePloS one2011

Peptide fingerprinting of Alzheimer's disease in cerebrospinal fluid: identification and prospective evaluation of new synaptic biomarkers.

Holger Jahn, Stefan Wittke, Petra Zürbig, Thomas J Raedler, Sönke Arlt, Markus Kellmann, William Mullen, Martin Eichenlaub, Harald Mischak, Klaus Wiedemann

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
7.3field-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

57 citing papers in PubMed, 121 citations in OpenAlex.

  1. Trial
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  7. Origins, Technological Advancement, and Applications of Peptidomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Peptidomic Approaches and Observations in Neurodegenerative Diseases.International journal of molecular sciences · 2022
    Review
  14. Sequestration of TDP-43ACS chemical neuroscience · 2022
    Article
  15. Review
  16. Review
  17. Fluid Biomarkers of Frontotemporal Lobar Degeneration.Advances in experimental medicine and biology · 2021
    Article
  18. Article
  19. Article
  20. Article
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

10 authors at 7 institutions in 3 countries.

Holger JahnDepartment of Psychiatry, University Hospital Hamburg-Eppendorf, Hamburg, Germany. jahn@uke.uni-hamburg.de
Stefan Wittke
Petra Zürbig
Thomas J Raedler
Sönke Arlt
Markus Kellmann
William Mullen
Martin Eichenlaub
Harald Mischak
Klaus Wiedemann
University Medical Center Hamburg-Eppendorf · DEMosaiques Diagnostics and Therapeutics (Germany) · DEHochschule Bremerhaven · DEThermo Fisher Scientific (Germany) · DEUniversität Hamburg · DEUniversity of Calgary · CAUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToday, dementias are diagnosed late in the course of disease. Future treatments have to start earlier in the disease process to avoid disability requiring new diagnostic tools. The objective of this study is to develop a new method for the differential diagnosis and identification of new biomarkers of Alzheimer's disease (AD) using capillary-electrophoresis coupled to mass-spectrometry (CE-MS) and to assess the potential of early diagnosis of AD. METHODS AND

findingsCerebrospinal fluid (CSF) of 159 out-patients of a memory-clinic at a University Hospital suffering from neurodegenerative disorders and 17 cognitively-healthy controls was used to create differential peptide pattern for dementias and prospective blinded-comparison of sensitivity and specificity for AD diagnosis against the Criterion standard in a naturalistic prospective sample of patients. Sensitivity and specificity of the new method compared to standard diagnostic procedures and identification of new putative biomarkers for AD was the main outcome measure. CE-MS was used to reliably detect 1104 low-molecular-weight peptides in CSF. Training-sets of patients with clinically secured sporadic Alzheimer's disease, frontotemporal dementia, and cognitively healthy controls allowed establishing discriminative biomarker pattern for diagnosis of AD. This pattern was already detectable in patients with mild cognitive impairment (MCI). The AD-pattern was tested in a prospective sample of patients (n = 100) and AD was diagnosed with a sensitivity of 87% and a specificity of 83%. Using CSF measurements of beta-amyloid1-42, total-tau, and phospho(181)-tau, AD-diagnosis had a sensitivity of 88% and a specificity of 67% in the same sample. Sequence analysis of the discriminating biomarkers identified fragments of synaptic proteins like proSAAS, apolipoprotein J, neurosecretory protein VGF, phospholemman, and chromogranin A.

conclusionsThe method may allow early differential diagnosis of various dementias using specific peptide fingerprints and identification of incipient AD in patients suffering from MCI. Identified biomarkers facilitate face validity for the use in AD diagnosis.

Indexed as

Peptide MappingAdultAgedAlzheimer DiseaseArtificial IntelligenceBiomarkersCase-Control StudiesDiagnosis, DifferentialElectrophoresis, CapillaryFemaleHumansMaleMass SpectrometryMiddle AgedNerve Tissue ProteinsProteomicsBiomarkersNerve Tissue Proteins

Identifiers

PMID22046305
PMCPMC3202544
OpenAlexW2062410112

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.