Evidence map›Paper›PMID 26200932›Full record

ReviewProteomics. Clinical applications2016

Cardiac extracellular matrix proteomics: Challenges, techniques, and clinical implications.

Chia Wei Chang, Ailsa J Dalgliesh, Javier E López, Leigh G Griffiths

Open access · bronzeAbstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

32 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  3. The molecular mechanisms of cardiac development and related diseases.Signal transduction and targeted therapy · 2024
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  19. MMP9 inhibition increases autophagic flux in chronic heart failure.American journal of physiology. Heart and circulatory physiology · 2020
    Article
  20. Hybrid cardiovascular sourced extracellular matrix scaffolds as possible platforms for vascular tissue engineering.Journal of biomedical materials research. Part B, Applied biomaterials · 2020
    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

4 authors at 1 institution in 1 country.

Chia Wei ChangDepartment of Veterinary Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, USA.
Ailsa J DalglieshDepartment of Veterinary Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, USA.
Javier E LópezDepartment of Internal Medicine, School of Medicine, University of California, Davis, CA, USA.
Leigh G GriffithsDepartment of Veterinary Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, USA.
University of California, Davis · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
Xenogeneic Scaffolds for Heart Valve Tissue EngineeringR01HL115205 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GRIFFITHS, LEIGH GARETH · 2013 to 2017
$1.9M
NCATS NIH HHS UL1 TR000002NHLBI NIH HHS R01 HL115205NHLBI NIH HHS R01HL115205
6 · The paper itself

Abstract

Extracellular matrix (ECM) has emerged as a dynamic tissue component, providing not only structural support, but also functionally participating in a wide range of signaling events during development, injury, and disease remodeling. Investigation of dynamic changes in cardiac ECM proteome is challenging due to the relative insolubility of ECM proteins, which results from their macromolecular nature, extensive post-translational modification (PTM), and tendency to form protein complexes. Finally, the relative abundance of cellular and mitochondrial proteins in cardiac tissue further complicates cardiac ECM proteomic approaches. Recent developments of various techniques to enrich and analyze ECM proteins are playing a major role in overcoming these challenges. Application of cardiac ECM proteomics in disease tissues can further provide spatial and temporal information relevant to disease diagnosis, prognosis, treatment, and engineering of therapeutic candidates for cardiac repair and regeneration.

Indexed as

Protein Processing, Post-TranslationalAnimalsExtracellular MatrixExtracellular Matrix ProteinsHumansMyocardiumProteomicsExtracellular Matrix ProteinsCardiac diseasesDecellularizationExtracellular matrix biomarkerExtracellular matrix remodelingExtracellular proteomics

Identifiers

PMID26200932
PMCPMC4703519
OpenAlexW2126912117

What OpenQuestion holds

Textmetadata
LicenceTDM
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.