Evidence map›Paper›PMID 32243695›Full record

ArticleEuropean journal of heart failure2020

A network analysis to identify pathophysiological pathways distinguishing ischaemic from non-ischaemic heart failure.

Iziah E Sama, Rebecca J Woolley, Jan F Nauta, Simon P R Romaine, Jasper Tromp, Jozine M Ter Maaten, Peter van der Meer, Carolyn S P Lam, Nilesh J Samani, Leong L Ng and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 44 citations in OpenAlex.

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  10. A cluster of blood-based protein biomarkers associated with decreased cerebral blood flow relates to future cardiovascular events in patients with cardiovascular disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
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  16. A cluster of blood-based protein biomarkers reflecting coagulation relates to the burden of cerebral small vessel disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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  20. Finding a Needle in a Haystack: Proteomics in Heart Failure.JACC. Basic to translational science · 2020
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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

19 authors at 8 institutions in 9 countries.

Iziah E SamaDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Rebecca J WoolleyDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jan F NautaDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Simon P R RomaineDepartment of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, and NIHR Leicester Biomedical Research Centre, Leicester, UK.
Jasper TrompDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jozine M Ter MaatenRobertson Centre for Biostatistics & Clinical Trials Unit, University of Glasgow and Clinical Cardiology, National Heart & Lung Institute, Imperial College London, London, UK.
Peter van der MeerRobertson Centre for Biostatistics & Clinical Trials Unit, University of Glasgow and Clinical Cardiology, National Heart & Lung Institute, Imperial College London, London, UK.
Carolyn S P LamSingapore Duke-NUS Graduate Medical School, Singapore.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, and NIHR Leicester Biomedical Research Centre, Leicester, UK.
Leong L NgDepartment of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, and NIHR Leicester Biomedical Research Centre, Leicester, UK.
Marco MetraInstitute of Cardiology, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Kenneth DicksteinUniversity of Bergen, Bergen, Norway.
Stefan D AnkerDepartment of Cardiology (CVK) and Berlin-Brandenburg Center for Regenerative Therapies (BCRT); German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Faiez ZannadCHU de Nancy, Inserm CIC 1433, Université de Lorrain, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France.
Chim C LangDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee Ninewells Hospital and Medical School, Dundee, UK.
John G F ClelandRobertson Centre for Biostatistics & Clinical Trials Unit, University of Glasgow and Clinical Cardiology, National Heart & Lung Institute, Imperial College London, London, UK.
Dirk J van VeldhuisenDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Hans L HillegeDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Adriaan A VoorsDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
University Medical Center Groningen · NLLung Institute · USUniversity of Leicester · GBBerlin-Brandenburger Centrum für Regenerative Therapien · DECentre d’Investigation Clinique Innovation Technologique de Nancy · FRStavanger University Hospital · NOSurgical Specialties (Canada) · CAUniversity of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsHeart failure (HF) is frequently caused by an ischaemic event (e.g. myocardial infarction) but might also be caused by a primary disease of the myocardium (cardiomyopathy). In order to identify targeted therapies specific for either ischaemic or non-ischaemic HF, it is important to better understand differences in underlying molecular mechanisms. METHODS AND

resultsWe performed a biological physical protein-protein interaction network analysis to identify pathophysiological pathways distinguishing ischaemic from non-ischaemic HF. First, differentially expressed plasma protein biomarkers were identified in 1160 patients enrolled in the BIOSTAT-CHF study, 715 of whom had ischaemic HF and 445 had non-ischaemic HF. Second, we constructed an enriched physical protein-protein interaction network, followed by a pathway over-representation analysis. Finally, we identified key network proteins. Data were validated in an independent HF cohort comprised of 765 ischaemic and 100 non-ischaemic HF patients. We found 21/92 proteins to be up-regulated and 2/92 down-regulated in ischaemic relative to non-ischaemic HF patients. An enriched network of 18 proteins that were specific for ischaemic heart disease yielded six pathways, which are related to inflammation, endothelial dysfunction superoxide production, coagulation, and atherosclerosis. We identified five key network proteins: acid phosphatase 5, epidermal growth factor receptor, insulin-like growth factor binding protein-1, plasminogen activator urokinase receptor, and secreted phosphoprotein 1. Similar results were observed in the independent validation cohort.

conclusionsPathophysiological pathways distinguishing patients with ischaemic HF from those with non-ischaemic HF were related to inflammation, endothelial dysfunction superoxide production, coagulation, and atherosclerosis. The five key pathway proteins identified are potential treatment targets specifically for patients with ischaemic HF.

Indexed as

Heart FailureAgedAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsFemaleHumansMaleMiddle AgedPercutaneous Coronary InterventionStroke VolumeVentricular Function, LeftAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCardiomyopathyHeart diseaseIschaemic heart failurePathwayPhysical protein-protein interaction

Identifiers

PMID32243695
PMCPMC7319432
OpenAlexW3001893346

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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.