Evidence map›Paper›PMID 31159652›Full record

ArticleCirculation research2019

Comparative Analysis of Circulating Noncoding RNAs Versus Protein Biomarkers in the Detection of Myocardial Injury.

Christian Schulte, Temo Barwari, Abhishek Joshi, Konstantinos Theofilatos, Anna Zampetaki, Javier Barallobre-Barreiro, Bhawana Singh, Nils A Sörensen, Johannes T Neumann, Tanja Zeller and 5 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Circulation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 3 pooled it
6.9field-weighted citation impact, top 2% 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

75 citing papers in PubMed, 3 syntheses or guidelines pooled it, 121 citations in OpenAlex.

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  17. Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024
    Article
  18. Research Advances in Targeted Therapy for Heart Failure.Reviews in cardiovascular medicine · 2023
    Review
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 2 countries.

Christian SchulteFrom the King's British Heart Foundation Centre, King's College London, United Kingdom (C.S., T.B., A.J., K.T., A.Z., J.B.-B., B.S., M. Mayr).
Temo BarwariFrom the King's British Heart Foundation Centre, King's College London, United Kingdom (C.S., T.B., A.J., K.T., A.Z., J.B.-B., B.S., M. Mayr).
Abhishek JoshiFrom the King's British Heart Foundation Centre, King's College London, United Kingdom (C.S., T.B., A.J., K.T., A.Z., J.B.-B., B.S., M. Mayr).
Konstantinos TheofilatosFrom the King's British Heart Foundation Centre, King's College London, United Kingdom (C.S., T.B., A.J., K.T., A.Z., J.B.-B., B.S., M. Mayr).
Anna ZampetakiFrom the King's British Heart Foundation Centre, King's College London, United Kingdom (C.S., T.B., A.J., K.T., A.Z., J.B.-B., B.S., M. Mayr).
Javier Barallobre-BarreiroFrom the King's British Heart Foundation Centre, King's College London, United Kingdom (C.S., T.B., A.J., K.T., A.Z., J.B.-B., B.S., M. Mayr).
Bhawana SinghFrom the King's British Heart Foundation Centre, King's College London, United Kingdom (C.S., T.B., A.J., K.T., A.Z., J.B.-B., B.S., M. Mayr).
Nils A SörensenDepartment of General and Interventional Cardiology, University Heart Centre Hamburg Eppendorf, Germany (C.S., N.A.S., J.T.N., T.Z., D.W., S.B.).
Johannes T NeumannDepartment of General and Interventional Cardiology, University Heart Centre Hamburg Eppendorf, Germany (C.S., N.A.S., J.T.N., T.Z., D.W., S.B.).
Tanja ZellerDepartment of General and Interventional Cardiology, University Heart Centre Hamburg Eppendorf, Germany (C.S., N.A.S., J.T.N., T.Z., D.W., S.B.).
Dirk WestermannDepartment of General and Interventional Cardiology, University Heart Centre Hamburg Eppendorf, Germany (C.S., N.A.S., J.T.N., T.Z., D.W., S.B.).
Stefan BlankenbergDepartment of General and Interventional Cardiology, University Heart Centre Hamburg Eppendorf, Germany (C.S., N.A.S., J.T.N., T.Z., D.W., S.B.).
Michael MarberKing's British Heart Foundation Centre, King's College London, Guy's and St Thomas' Hospitals, United Kingdom (M. Marber).
Christoph LiebetrauDepartment of Cardiology, Kerckhoff Heart and Thorax Center, Bad Nauheim, Germany and German Centre of Cardiovascular Research (DZHK), Partner Site Rhine-Main, Bad Nauheim, Germany (C.L.).
Manuel MayrFrom the King's British Heart Foundation Centre, King's College London, United Kingdom (C.S., T.B., A.J., K.T., A.Z., J.B.-B., B.S., M. Mayr).
King's College London · GBGerman Centre for Cardiovascular Research · DEUniversität Hamburg · DEBritish Heart Foundation · GBSt Bartholomew's Hospital · GBUniversity Medical Center Hamburg-Eppendorf · DE

Funding

British Heart Foundation CH/16/3/32406British Heart Foundation FS/13/18/30207British Heart Foundation FS/16/32/32184British Heart Foundation RG/16/14/32397British Heart Foundation SP/12/5/29574British Heart Foundation SP/17/10/33219Department of Health
6 · The paper itself

Abstract

rationaleNoncoding RNAs (ncRNAs), including microRNAs (miRNAs), circular RNAs (circRNAs), and long noncoding RNAs (lncRNAs), are proposed novel biomarkers of myocardial injury. Their release kinetics have not been explored without confounding by heparin nor has their relationship to myocardial protein biomarkers.

objectiveTo compare ncRNA types in heparinase-treated samples with established and emerging protein biomarkers for myocardial injury. METHODS AND

resultsScreening of 158 circRNAs and 21 lncRNAs in human cardiac tissue identified 12 circRNAs and 11 lncRNAs as potential biomarkers with cardiac origin. Eleven miRNAs were included. At low spike-in concentrations of myocardial tissue, significantly higher regression coefficients were observed across ncRNA types compared with cardiac troponins and cMyBP-C (cardiac myosin-binding protein C). Heparinase treatment of serial plasma and serum samples of patients undergoing transcoronary ablation of septal hypertrophy removed spurious correlations between miRNAs in non-heparinase-treated samples. After transcoronary ablation of septal hypertrophy, muscle-enriched miRNAs (miR-1 and miR-133a) showed a steeper and earlier increase than cardiac-enriched miRNAs (miR-499 and miR-208b). Putative cardiac lncRNAs, including LIPCAR (long intergenic noncoding RNA predicting cardiac remodeling and survival), did not rise, refuting a predominant cardiac origin. Cardiac circRNAs remained largely undetectable. In a validation cohort of acute myocardial infarction, receiver operating characteristic curve analysis revealed noninferiority of cardiac-enriched miRNAs, but miRNAs failed to identify cases presenting with low troponin values. cMyBP-C was validated as a biomarker with highly sensitive properties, and the combination of muscle-enriched miRNAs with high-sensitive cardiac troponin T and cMyBP-C returned the highest area under the curve values.

conclusionsIn a comparative assessment of ncRNAs and protein biomarkers for myocardial injury, cMyBP-C showed properties as the most sensitive cardiac biomarker while miRNAs emerged as promising candidates to integrate ncRNAs with protein biomarkers. Sensitivity of current miRNA detection is inferior to cardiac proteins but a multibiomarker combination of muscle-enriched miRNAs with cMyBP-C and cardiac troponins could open a new path of integrating complementary characteristics of different biomarker types.

Indexed as

ArtifactsBiomarkersCardiomyopathiesCarrier ProteinsHeparinHeparin LyaseHumansMicroRNAsMyocardiumMyosin Binding Protein CPlasmaReal-Time Polymerase Chain ReactionRNA, UntranslatedTroponin TBiomarkersCarrier ProteinsHeparinHeparin LyaseMicroRNAsMyosin Binding Protein CRNA, UntranslatedTroponin Tbiomarkerscardiac myosin-binding protein CmicroRNAsmyocardial infarctionRNA, long noncodingtroponin

Identifiers

PMID31159652
PMCPMC6641471
OpenAlexW2948607394

What OpenQuestion holds

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LicenceCC BY
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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.