Evidence map›Paper›PMID 39466935›Full record

ArticleEuropean journal of heart failure2025

Proteomic biomarkers and pathway analysis for progression to heart failure in three epidemiological representative cohorts.

Anna Dieden, Nicolas Girerd, Filip Ottosson, John Molvin, Manan Pareek, Olle Melander, Erasmus Bachus, Lennart Råstam, Ulf Lindblad, Bledar Daka and 14 more

Abstract read
In one paragraph

Article in European journal of heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
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  5. Review
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

24 authors.

Anna DiedenDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.ORCID https://orcid.org/0000-0002-1041-937X
Nicolas GirerdUniversité de Lorraine, Centre d'Investigations Cliniques Plurithématique 1433, Institut National de la Santé et de la Recherche Médicale 1116, Centre Hospitalier Universitaire Régional de Nancy, Nancy, France.
Filip OttossonSection for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark.
John MolvinDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Manan PareekCenter for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Olle MelanderDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Erasmus BachusDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Lennart RåstamDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Ulf LindbladInstitute of Medicine, School of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Bledar DakaInstitute of Medicine, School of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Margrét LeósdóttirDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Peter M NilssonDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Michael H OlsenDepartment of Regional Health Research, University of Southern Denmark, Odense, Denmark.
Andrew L ClarkHull York Medical School, Castle Hill Hospital, Cottingham, UK.
John G F ClelandBritish Heart Foundation Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Christian DellesBritish Heart Foundation Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Arantxa GonzálezProgram of Cardiovascular Diseases, Centre for Applied Medical Research (CIMA), and Department of Cardiology and Cardiac Surgery, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain.
Zohra LamiralUniversité de Lorraine, Centre d'Investigations Cliniques Plurithématique 1433, Institut National de la Santé et de la Recherche Médicale 1116, Centre Hospitalier Universitaire Régional de Nancy, Nancy, France.
Kevin DuarteUniversité de Lorraine, Centre d'Investigations Cliniques Plurithématique 1433, Institut National de la Santé et de la Recherche Médicale 1116, Centre Hospitalier Universitaire Régional de Nancy, Nancy, France.
Patrick RossignolUniversité de Lorraine, Centre d'Investigations Cliniques Plurithématique 1433, Institut National de la Santé et de la Recherche Médicale 1116, Centre Hospitalier Universitaire Régional de Nancy, Nancy, France.
Faiez ZannadUniversité de Lorraine, Centre d'Investigations Cliniques Plurithématique 1433, Institut National de la Santé et de la Recherche Médicale 1116, Centre Hospitalier Universitaire Régional de Nancy, Nancy, France.
Petri GudmundssonDepartment of Biomedical Science, Malmö University, Malmö, Sweden.
Amra JujićDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Martin MagnussonDepartment of Clinical Sciences Malmö, Lund University, Malmö, Sweden.

Funding

Aase og Ejnar Danielsens FondCraaford FoundationErnhold Lundströms stiftelseHjärt-Lungfonden 2004045806Hulda och E Conrad Mossfelts Stiftelse för Vetenskaplig Forskning Inom Hjärt- och Kärlsjukdomarnas OmrådeLunds UniversitetMedicinska Fakulteten, Lunds UniversitetMerck, Sharp & DohmeRegion SkåneSkånes universitetssjukhusSwedish Research CouncilThe Wallenberg Center for Molecular Medicine
6 · The paper itself

Abstract

aimsBiomarkers associated with asymptomatic ventricular dysfunction might improve risk stratification and identify pathways leading to heart failure (HF). We explored the association between proteomic biomarkers and left ventricular hypertrophy (LVH), diastolic dysfunction (DD) and incident HF in three population-based cohorts. METHODS AND

resultsA chip was used to measure 92 protein biomarkers in blood samples from >1500 Malmö Preventive Project (MPP) participants, of whom 514 had LVH (34%), 462 had DD (32.4%) and, over a median follow-up of 13 (11-14) years, 130 developed HF (7.7%). Findings were confirmed in the STANISLAS (n > 1500, 238 participants with LVH, 76 with DD) and HOMAGE case-control (562 cases of incident HF, 871 controls) cohorts. In multivariable logistic or Cox regression analyses adjusted for age, sex and cardiovascular risk factors, N-terminal pro-B-type natriuretic peptide (NT-proBNP) was associated with LVH, DD and incident HF in all cohorts: MPP (LVH odds ratio [OR] [95% confidence interval] 1.48 [1.28-1.71]; DD OR 1.71 [1.53-1.92]; HF HR 1.98 [1.66-2.36]); STANISLAS (LVH OR 1.20 [1.02-1.41]; DD OR 1.46 [1.12-1.90]); HOMAGE (HF HR 1.85 [1.62-2.12]). Galectin-4, growth differentiation factor 15 and suppression of tumorigenicity-2 were associated with incident HF in MPP and HOMAGE. A pathway enrichment analysis suggested that inflammation and viral infection were related to incident HF.

conclusionIn conclusion, our study reinforces the role of NT-proBNP as a key biomarker for asymptomatic cardiac dysfunction and incident HF, consistent with its established use in clinical practice. This underscores the value of NT-proBNP for identifying patients at high risk for HF, and provides insights into pathways leading to HF and potential therapeutic targets.

Indexed as

Heart FailureHypertrophy, Left VentricularNatriuretic Peptide, BrainPeptide FragmentsProteomicsVentricular Dysfunction, LeftAgedBiomarkersCase-Control StudiesDisease ProgressionFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Diastolic dysfunctionHeart failureLeft ventricular hypertrophyProteomics

Identifiers

PMID39466935
PMCPMC12502458

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.