Evidence map›Paper›PMID 26940365›Full record

ReviewJournal of internal medicine2016

Vascular proteomics in metabolic and cardiovascular diseases.

M Lynch, J Barallobre-Barreiro, M Jahangiri, M Mayr

Abstract readReview
In one paragraph

Review in Journal of internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Exosomes in arteriovenous fistula stenosis.Frontiers in cell and developmental biology · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Vulnerable Atherosclerotic Plaque: Is There a Molecular Signature?International journal of molecular sciences · 2022
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Extracellular matrix dynamics in vascular remodeling.American journal of physiology. Cell physiology · 2020
    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

4 authors.

M LynchKing's British Heart Foundation Centre, King's College London, London, UK.
J Barallobre-BarreiroKing's British Heart Foundation Centre, King's College London, London, UK.
M JahangiriSt George's Hospital, NHS Trust, London, UK.
M MayrKing's British Heart Foundation Centre, King's College London, London, UK. manuel.mayr@kcl.ac.uk.

Funding

British Heart Foundation FS/13/2/29892
6 · The paper itself

Abstract

The vasculature is essential for proper organ function. Many pathologies are directly and indirectly related to vascular dysfunction, which causes significant morbidity and mortality. A common pathophysiological feature of diseased vessels is extracellular matrix (ECM) remodelling. Analysing the protein composition of the ECM by conventional antibody-based techniques is challenging; alternative splicing or post-translational modifications, such as glycosylation, can mask epitopes required for antibody recognition. By contrast, proteomic analysis by mass spectrometry enables the study of proteins without the constraints of antibodies. Recent advances in proteomic techniques make it feasible to characterize the composition of the vascular ECM and its remodelling in disease. These developments may lead to the discovery of novel prognostic and diagnostic markers. Thus, proteomics holds potential for identifying ECM signatures to monitor vascular disease processes. Furthermore, a better understanding of the ECM remodelling processes in the vasculature might make ECM-associated proteins more attractive targets for drug discovery efforts. In this review, we will summarize the role of the ECM in the vasculature. Then, we will describe the challenges associated with studying the intricate network of ECM proteins and the current proteomic strategies to analyse the vascular ECM in metabolic and cardiovascular diseases.

Indexed as

ProteomicsAnimalsBlood VesselsCardiovascular DiseasesExtracellular Matrix ProteinsHumansLipoproteinsMetabolic DiseasesProtein Processing, Post-TranslationalProteolysisExtracellular Matrix ProteinsLipoproteinsapolipoproteinsatherosclerosisdiabetesproteomicsrestenosisvascular biology

Identifiers

PMID26940365
PMCPMC5042041

What OpenQuestion holds

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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.