Evidence map›Paper›PMID 34135421›Full record

ArticleScientific reports2021

A combined biomarker approach for characterising extracellular matrix profiles in acute myocardial infarction.

Morgane M Brunton-O'Sullivan, Ana S Holley, Kathryn E Hally, Gisela A Kristono, Scott A Harding, Peter D Larsen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Morgane M Brunton-O'SullivanDepartment of Surgery and Anaesthesia, University of Otago, Wellington, 6242, New Zealand. morgane.brunton@postgrad.otago.ac.nz.
Ana S HolleyDepartment of Surgery and Anaesthesia, University of Otago, Wellington, 6242, New Zealand.
Kathryn E HallyDepartment of Surgery and Anaesthesia, University of Otago, Wellington, 6242, New Zealand.
Gisela A KristonoDepartment of Surgery and Anaesthesia, University of Otago, Wellington, 6242, New Zealand.
Scott A HardingWellington Cardiovascular Research Group, University of Otago, Wellington, 6242, New Zealand.
Peter D LarsenDepartment of Surgery and Anaesthesia, University of Otago, Wellington, 6242, New Zealand.
University of Otago · NZVictoria University of Wellington · NZWellington Hospital · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular matrix (ECM) biomarkers are useful for measuring underlying molecular activity associated with cardiac repair following acute myocardial infarction (AMI). The aim of this study was to conduct exploratory factor analysis (EFA) to examine the interrelationships between ECM biomarkers, and cluster analysis to identify if distinct ECM profiles could distinguish patient risk in AMI. Ten ECM biomarkers were measured from plasma in 140 AMI patients: MMP-2, -3, -8, -9, periostin, procollagen I N-Terminal propeptide, osteopontin, TGF-β1, TIMP-1 and -4. EFA grouped eight ECM biomarkers into a two-factor solution, which comprised three biomarkers in Factor 1 and five biomarkers in Factor 2. Notably, ECM biomarkers were not separated based on biological function. Cluster analysis grouped AMI patients into three distinct clusters. Cluster One (n = 54) had increased levels of MMP-8, MMP-9, and TGF-B1. Cluster Two (n = 43) had elevated levels of MMP-2, MMP-3, osteopontin, periostin and TIMP-1, and increased high-sensitivity troponin T and GRACE scores. Cluster Three (n = 43) had decreased levels of ECM biomarkers. Circulating ECM biomarkers demonstrated collinearity and entwined biological functions based on EFA analysis. Using cluster analysis, patients with similar clinical presentations could be separated into distinct ECM profiles that were associated with differential patient risk. Clinical significance remains to be determined.

Indexed as

BiomarkersCell Adhesion MoleculesExtracellular MatrixFemaleHeart Disease Risk FactorsHumansMaleMatrix MetalloproteinasesMiddle AgedMyocardial InfarctionOsteopontinPeptide FragmentsProcollagenTissue Inhibitor of MetalloproteinasesTransforming Growth Factor beta1BiomarkersCell Adhesion MoleculesMatrix MetalloproteinasesOsteopontinPeptide FragmentsPOSTN protein, humanProcollagenprocollagen Type I N-terminal peptideSPP1 protein, humanTGFB1 protein, humanTissue Inhibitor of MetalloproteinasesTransforming Growth Factor beta1

Identifiers

PMID34135421
PMCPMC8209070
OpenAlexW3173123143

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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.