Evidence map›Paper›PMID 28319050›Full record

ArticleThe Journal of clinical investigation2017

Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques.

Sarah R Langley, Karin Willeit, Athanasios Didangelos, Ljubica Perisic Matic, Philipp Skroblin, Javier Barallobre-Barreiro, Mariette Lengquist, Gregor Rungger, Alexander Kapustin, Ludmilla Kedenko and 17 more

Abstract read
In one paragraph

Article in The Journal of clinical investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

102 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Microvascular Health as a Key Determinant of Organismal Aging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  17. Article
  18. Cholesterol crystal embolization syndrome: Systemic and end-organ injury.American heart journal plus : cardiology research and practice · 2025
    Article
  19. Characterizing the effect of bariatric surgery on circulating S100A9.International journal of obesity (2005) · 2025
    Article
  20. Article

42 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

27 authors.

Sarah R Langley
Karin Willeit
Athanasios Didangelos
Ljubica Perisic Matic
Philipp Skroblin
Javier Barallobre-Barreiro
Mariette Lengquist
Gregor Rungger
Alexander Kapustin
Ludmilla Kedenko
Chris Molenaar
Ruifang Lu
Temo Barwari
Gonca Suna
Xiaoke Yin
Bernhard Iglseder
Bernhard Paulweber
Peter Willeit
Joseph Shalhoub
Gerard Pasterkamp
Alun H Davies
Claudia Monaco
Ulf Hedin
Catherine M Shanahan
Johann Willeit
Stefan Kiechl
Manuel Mayr

Funding

British Heart Foundation CH/16/3/32406British Heart Foundation FS/13/2/29892British Heart Foundation PG/11/46/28979British Heart Foundation RG/11/14/29056British Heart Foundation RG/16/14/32397British Heart Foundation RG/17/2/32808
6 · The paper itself

Abstract

backgroundThe identification of patients with high-risk atherosclerotic plaques prior to the manifestation of clinical events remains challenging. Recent findings question histology- and imaging-based definitions of the "vulnerable plaque," necessitating an improved approach for predicting onset of symptoms.

methodsWe performed a proteomics comparison of the vascular extracellular matrix and associated molecules in human carotid endarterectomy specimens from 6 symptomatic versus 6 asymptomatic patients to identify a protein signature for high-risk atherosclerotic plaques. Proteomics data were integrated with gene expression profiling of 121 carotid endarterectomies and an analysis of protein secretion by lipid-loaded human vascular smooth muscle cells. Finally, epidemiological validation of candidate biomarkers was performed in two community-based studies.

resultsProteomics and at least one of the other two approaches identified a molecular signature of plaques from symptomatic patients that comprised matrix metalloproteinase 9, chitinase 3-like-1, S100 calcium binding protein A8 (S100A8), S100A9, cathepsin B, fibronectin, and galectin-3-binding protein. Biomarker candidates measured in 685 subjects in the Bruneck study were associated with progression to advanced atherosclerosis and incidence of cardiovascular disease over a 10-year follow-up period. A 4-biomarker signature (matrix metalloproteinase 9, S100A8/S100A9, cathepsin D, and galectin-3-binding protein) improved risk prediction and was successfully replicated in an independent cohort, the SAPHIR study.

conclusionThe identified 4-biomarker signature may improve risk prediction and diagnostics for the management of cardiovascular disease. Further, our study highlights the strength of tissue-based proteomics for biomarker discovery.

fundingUK: British Heart Foundation (BHF); King's BHF Center; and the National Institute for Health Research Biomedical Research Center based at Guy's and St Thomas' NHS Foundation Trust and King's College London in partnership with King's College Hospital. Austria: Federal Ministry for Transport, Innovation and Technology (BMVIT); Federal Ministry of Science, Research and Economy (BMWFW); Wirtschaftsagentur Wien; and Standortagentur Tirol.

Indexed as

AtherosclerosisBiomarkersCarotid Artery DiseasesCells, CulturedEndarterectomy, CarotidExtracellular MatrixExtracellular Matrix ProteinsFemaleHumansMaleMyocytes, Smooth MusclePlaque, AtheroscleroticProteomeProteomicsBiomarkersExtracellular Matrix ProteinsProteome

Identifiers

PMID28319050
PMCPMC5373893

What OpenQuestion holds

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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.