Evidence map›Paper›PMID 39434187›Full record

ArticleGenome medicine2024

Integrating metabolomics and proteomics to identify novel drug targets for heart failure and atrial fibrillation.

Marion van Vugt, Chris Finan, Sandesh Chopade, Rui Providencia, Connie R Bezzina, Folkert W Asselbergs, Jessica van Setten, A Floriaan Schmidt

Abstract read
In one paragraph

Article in Genome medicine, 2024. 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
–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

20 citing papers in PubMed.

  1. Article
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  8. Multi-Omics Identification of Biomarkers for High-Altitude Pulmonary Hypertension.Journal of cardiovascular development and disease · 2026
    Article
  9. Article
  10. Review
  11. Review
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  14. Article
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  17. Genomic medicine for heart failure prediction in patients with atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  18. Article
  19. 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

8 authors.

Marion van VugtDepartment of Cardiology, University Medical Center Utrecht, Utrecht University, Division Heart & Lungs, Utrecht, The Netherlands. m.vanvugt1@amsterdamumc.nl.
Chris FinanDepartment of Cardiology, University Medical Center Utrecht, Utrecht University, Division Heart & Lungs, Utrecht, The Netherlands.
Sandesh ChopadeInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.
Rui ProvidenciaHealth Data Research UK and Institute of Health Informatics, University College London, London, UK.
Connie R BezzinaAmsterdam Cardiovascular Sciences, Heart Failure and Arrhythmias, Amsterdam, The Netherlands.
Folkert W AsselbergsDepartment of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, Netherlands.
Jessica van Setten *Department of Cardiology, University Medical Center Utrecht, Utrecht University, Division Heart & Lungs, Utrecht, The Netherlands.
A Floriaan Schmidt *Department of Cardiology, University Medical Center Utrecht, Utrecht University, Division Heart & Lungs, Utrecht, The Netherlands.

Funding

British Heart Foundation PG/18/50/33837British Heart Foundation PG/22/10989
6 · The paper itself

Abstract

backgroundAltered metabolism plays a role in the pathophysiology of cardiac diseases, such as atrial fibrillation (AF) and heart failure (HF). We aimed to identify novel plasma metabolites and proteins associating with cardiac disease.

methodsMendelian randomisation (MR) was used to assess the association of 174 metabolites measured in up to 86,507 participants with AF, HF, dilated cardiomyopathy (DCM), and non-ischemic cardiomyopathy (NICM). Subsequently, we sourced data on 1567 plasma proteins and performed cis MR to identify proteins affecting the identified metabolites as well as the cardiac diseases. Proteins were prioritised on cardiac expression and druggability, and mapped to biological pathways.

resultsWe identified 35 metabolites associating with cardiac disease. AF was affected by seventeen metabolites, HF by nineteen, DCM by four, and NCIM by taurine. HF was particularly enriched for phosphatidylcholines (p = 0.029) and DCM for acylcarnitines (p = 0.001). Metabolite involvement with AF was more uniform, spanning for example phosphatidylcholines, amino acids, and acylcarnitines. We identified 38 druggable proteins expressed in cardiac tissue, with a directionally concordant effect on metabolites and cardiac disease. We recapitulated known associations, for example between the drug target of digoxin (AT1B2), taurine and NICM risk. Additionally, we identified numerous novel findings, such as higher RET values associating with phosphatidylcholines and decreasing AF and HF. RET is targeted by drugs such as regorafenib which has known cardiotoxic side-effects. Pathway analysis implicated involvement of GDF15 signalling through RET, and ghrelin regulation of energy homeostasis in cardiac pathogenesis.

conclusionsThis study identified 35 plasma metabolites involved with cardiac diseases and linked these to 38 druggable proteins, providing actionable leads for drug development.

Indexed as

Atrial FibrillationHeart FailureMetabolomicsProteomicsBiomarkersFemaleHumansMaleMendelian Randomization AnalysisMetabolomeMolecular Targeted TherapyBiomarkersAtrial fibrillationCardiomyopathyDrug developmentHeart failureMendelian randomisationMetabolomicsProteomics

Identifiers

PMID39434187
PMCPMC11492627

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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.