Evidence mapPaperPMID 41310616Full record

ArticleBMC medicine2025

The European BestAgeing Study on microRNA candidates reveals distinct signatures with diagnostic and prognostic potential in cardiovascular disease.

Christoph Reich, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Ali Amr, Jan Haas, Kai Ueltzhöffer, Mario Plebani, Andrea Padoan, Lars Lind, Bertil Lindahl and 11 more

Abstract readMulticenter Study
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Christoph Reich *Department of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany.
Elham Kayvanpour *Department of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany.
Farbod Sedaghat-HamedaniDepartment of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany.
Ali AmrDepartment of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany.
Jan HaasDepartment of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany.
Kai UeltzhöfferComputational Genomics and System Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mario PlebaniDepartment of Medicine-DIMED, University-Hospital of Padova, Padua, Italy.
Andrea PadoanDepartment of Medicine-DIMED, University-Hospital of Padova, Padua, Italy.
Lars LindDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Bertil LindahlDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Lorenzo MonserratHealth in Code SL, A Coruña, Spain.
Andres MetspaluEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23B, Tartu, Estonia.
Maris AlverEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23B, Tartu, Estonia.
Tarmo AnniloEstonian Genome Centre, Institute of Genomics, University of Tartu, Riia 23B, Tartu, Estonia.
Alexander ParkhomenkoEmergency Cardiology Department, Institute of Cardiology, Clinical and Regenerative Medicine, Kiev, Ukraine.
Sergey KozhukhovEmergency Cardiology Department, Institute of Cardiology, Clinical and Regenerative Medicine, Kiev, Ukraine.
Tanja WeisDepartment of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany.
Hugo KatusDepartment of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany.
Norbert FreyDepartment of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany.
Andreas KellerClinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Benjamin MederDepartment of Internal Medicine III, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany. Benjamin.meder@med.uni-heidelberg.de.

Funding

European Commission 306031
6 · The paper itself

Abstract

backgroundCirculating miRNAs have emerged as promising biomarker candidates due to their stability and their role in regulating key pathological pathways in cardiovascular disease (CVD). Yet, large-scale, multicentre studies examining their diagnostic and prognostic potential are scarce. This study evaluates the potential of miRNA expression profiles to inform disease classification and risk stratification across major CVD phenotypes, including acute coronary syndrome (ACS), chronic coronary artery disease (CAD), dilated cardiomyopathy (DCM), and ischemic cardiomyopathy (ICM), in a large, multicentre European cohort.

methodsWe assessed genome-wide miRNA expression profiles in a total of 1209 cardiovascular patients and 848 controls in a uniform, standardized fashion, which renders this study one of the largest prospective miRNA studies. To focus on only the most biologically plausible miRNAs for clinical translation, we mined all original studies of miRNA candidates in CVD and performed differential miRNA expression and enrichment analysis. We then trained disease-specific binary classification models to evaluate the diagnostic potential of miRNA signatures. Finally, we evaluated prognosis and disease severity based on distinct miRNA levels.

resultsSix hundred thirty four original abstracts were identified, detailing 166 ACS, 181 CAD, 56 DCM, and 182 ICM miRNAs. Without further optimization, the signatures of a priori miRNAs already yielded very good diagnostic performance with ROC AUC of 0.83-0.95. There was an improvement when considering additional miRNAs in a discovery setting. Interestingly, in ACS, CAD, and DCM, we observed a significantly worse prognosis in probands with higher miRNA-derived disease probabilities, indicating an association with prognosis.

conclusionsThe European BestAgeing miRNA study reveals emerging associations of several miRNA signatures with cardiovascular disease discrimination and prognostication, providing a foundation for future external validation and potential clinical translation of this class of markers.

Indexed as

Cardiovascular DiseasesMicroRNAsAgedBiomarkersEuropeFemaleGene Expression ProfilingHumansMaleMiddle AgedPrognosisProspective StudiesBiomarkersMicroRNAsAcute coronary syndromeComputational biologyCoronary artery diseaseDilated cardiomyopathyIschemic cardiomyopathyMicroRNAs

Identifiers

PMID41310616
PMCPMC12670801

What Socratic 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 Socratic graph.