Evidence map›Paper›PMID 29042634›Full record

ArticleScientific reports2017

A novel quantification-driven proteomic strategy identifies an endogenous peptide of pleiotrophin as a new biomarker of Alzheimer's disease.

Tobias Skillbäck, Niklas Mattsson, Karl Hansson, Ekaterina Mirgorodskaya, Rahil Dahlén, Wiesje van der Flier, Philip Scheltens, Floor Duits, Oskar Hansson, Charlotte Teunissen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 60 citations in OpenAlex.

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  10. Loss of Inpp5d has disease-relevant and sex-specific effects on glial transcriptomes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

13 authors at 5 institutions in 3 countries.

Tobias SkillbäckInstitute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Niklas MattssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Karl HanssonInstitute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Ekaterina MirgorodskayaProteomics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Rahil DahlénInstitute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Wiesje van der FlierAlzheimer Centre, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
Philip ScheltensAlzheimer Centre, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
Floor DuitsAlzheimer Centre, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Charlotte TeunissenAlzheimer Centre, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
Kaj BlennowInstitute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Henrik ZetterbergInstitute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Johan GobomInstitute of Neuroscience and Physiology, Department of Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden. johan.gobom@neuro.gu.se.
Sahlgrenska University Hospital · SEAmsterdam Neuroscience · NLLund University · SESkåne University Hospital · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new, quantification-driven proteomic approach to identifying biomarkers. In contrast to the identification-driven approach, limited in scope to peptides that are identified by database searching in the first step, all MS data are considered to select biomarker candidates. The endopeptidome of cerebrospinal fluid from 40 Alzheimer's disease (AD) patients, 40 subjects with mild cognitive impairment, and 40 controls with subjective cognitive decline was analyzed using multiplex isobaric labeling. Spectral clustering was used to match MS/MS spectra. The top biomarker candidate cluster (215% higher in AD compared to controls, area under ROC curve = 0.96) was identified as a fragment of pleiotrophin located near the protein's C-terminus. Analysis of another cohort (n = 60 over four clinical groups) verified that the biomarker was increased in AD patients while no change in controls, Parkinson's disease or progressive supranuclear palsy was observed. The identification of the novel biomarker pleiotrophin 151-166 demonstrates that our quantification-driven proteomic approach is a promising method for biomarker discovery, which may be universally applicable in clinical proteomics.

Indexed as

ProteomeProteomicsAlzheimer DiseaseBiomarkersCarrier ProteinsCytokinesFemaleHumansMalePeptidesReproducibility of ResultsROC CurveBiomarkersCarrier ProteinsCytokinesPeptidespleiotrophinProteome

Identifiers

PMID29042634
PMCPMC5645330
OpenAlexW2763859909

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.