Evidence map›Paper›PMID 34811951›Full record

ArticleESC heart failure2022

Non-targeted metabolomics identify polyamine metabolite acisoga as novel biomarker for reduced left ventricular function.

Andreas Puetz, Anna Artati, Jerzy Adamski, Katharina Schuett, Francesco Romeo, Robert Stoehr, Nikolaus Marx, Massimo Federici, Michael Lehrke, Ben A Kappel

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  8. Bachmann-Bupp syndrome and treatment.Developmental medicine and child neurology · 2024
    Review
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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

10 authors at 4 institutions in 4 countries.

Andreas PuetzDepartment of Internal Medicine 1, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.ORCID 0000-0002-8559-2564
Anna ArtatiMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Jerzy AdamskiInstitute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.ORCID 0000-0001-9259-0199
Katharina SchuettDepartment of Internal Medicine 1, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Francesco RomeoDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Robert StoehrDepartment of Internal Medicine 1, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Nikolaus MarxDepartment of Internal Medicine 1, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Massimo FedericiDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.ORCID 0000-0003-4989-5194
Michael LehrkeDepartment of Internal Medicine 1, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Ben A KappelDepartment of Internal Medicine 1, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.ORCID 0000-0001-9065-9412
Universitätsklinikum Aachen · DEUniversity of Rome Tor Vergata · ITHelmholtz Zentrum München · DEUniversity of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsChronic heart failure with reduced ejection fraction remains a major health issue. To date, no reliable biomarker is available to predict reduced left ventricular ejection fraction (LV-EF). We aimed to identify novel circulating biomarkers for reduced left ventricular function using untargeted serum metabolomics in two independent patient cohorts. METHODS AND

resultsEchocardiography and non-targeted serum metabolomics were conducted in two patient cohorts with varying left ventricular function: (1) 25 patients with type 2 diabetes with established cardiovascular disease or high cardiovascular risk (LV-EF range 20-66%) (discovery cohort) and (2) 37 patients hospitalized for myocardial infarction (LV-EF range 25-60%) (validation cohort). In the discovery cohort, untargeted metabolomics revealed seven metabolites performing better than N-terminal pro-B-type natriuretic peptide in the prediction of impaired left ventricular function shown by LV-EF. For only one of the metabolites, acisoga, the predictive value for LV-EF could be confirmed in the validation cohort (r = -0.37, P = 0.02). In the discovery cohort, acisoga did not only correlate with LV-EF (r = -60, P = 0.0016), but also with global circumferential strain (r = 0.67, P = 0.0003) and global longitudinal strain (r = 0.68, P = 0.0002). Similar results could be detected in the discovery cohort in a 6 month follow-up proofing stability of these results over time. With an area under the curve of 0.86 in the receiver operating characteristic analysis, acisoga discriminated between patients with normal EF and LV-EF < 40%. Multivariate analysis exposed acisoga as independent marker for impairment of LV-EF (Beta = -0.71, P = 0.004).

conclusionsWe found the polyamine metabolite acisoga to be elevated in patients with impaired LV-EF in two independent cohorts. Our analyses suggest that acisoga may be a valuable biomarker to detect patients with heart failure with reduced ejection fraction.

Indexed as

Diabetes Mellitus, Type 2Ventricular Function, LeftBiomarkersHumansMetabolomicsPolyaminesPyrrolidinonesStroke VolumeBiomarkersN-(3-acetamidopropyl)pyrrolidin-2-onePolyaminesPyrrolidinonesBiomarkerEjection fractionHeart failureHFrEFMetabolomicsPolyamine metabolism

Identifiers

PMID34811951
PMCPMC8788009
OpenAlexW3215014564

What OpenQuestion holds

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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.