Evidence map›Paper›PMID 40460296›Full record

Trial reportCardiovascular research2025

Platelets and inflammation-insights from platelet non-coding RNA content and release in the Bruneck study and the PACMAN-AMI trial.

Clemens Gutmann, Temo Barwari, Christian Schulte, Konstantinos Theofilatos, Bhawana Singh, Kaloyan Takov, Gonca Suna, Melissa V Chan, Paul C Armstrong, Christian Cassel and 10 more

Abstract readClinical Trial, Phase IIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Cardiovascular research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Arteriosclerosis, thrombosis, and vascular biology · 2026
    Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Clemens GutmannDivision of Cardiology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-0675-8632
Temo BarwariKing's British Heart Foundation Centre, King's College London, London, UK.ORCID 0000-0003-2279-8677
Christian SchulteKing's British Heart Foundation Centre, King's College London, London, UK.ORCID 0000-0002-2643-7345
Konstantinos TheofilatosKing's British Heart Foundation Centre, King's College London, London, UK.ORCID 0000-0001-6799-0553
Bhawana SinghNational Heart and Lung Institute, Imperial College London, 86 Wood Ln, London W12 0BZ, UK.
Kaloyan TakovNational Heart and Lung Institute, Imperial College London, 86 Wood Ln, London W12 0BZ, UK.ORCID 0000-0002-8642-6306
Gonca SunaDepartment of Cardiology, University Heart Center Zürich, Zürich, Switzerland.
Melissa V ChanThe Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Paul C ArmstrongThe Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Christian CasselNational Heart and Lung Institute, Imperial College London, 86 Wood Ln, London W12 0BZ, UK.
Yasushi UekiDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Jonas D HänerDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Peter SanterDepartment of Laboratory Medicine, Bruneck Hospital, Bruneck, Italy.
Peter WilleitInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-1866-7159
Christian HengstenbergDivision of Cardiology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-8284-2994
Lorenz RäberDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0003-0824-3026
Stefan KiechlDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-9836-2514
Johann WilleitDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-4083-0466
Timothy D WarnerThe Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Manuel MayrDivision of Cardiology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-0597-829X

Funding

Austrian Ministry for Digital and Economic AffairsAustrian Ministry for Transport, Innovation and TechnologyAustrian Research Promotion Agency FFG: 'Research Center of Excellence in Vascular Ageing-Tyrol, VASCage' 843536BHF CH/16/3/32406BHF PG/20/10387BHF RG/F/21/110053BHF SP/17/10/33219British Heart Foundation FS/18/60/34181Bundesministerium für Verkehr, Innovation und TechnologieBundesministerium für Wissenschaft, Forschung und WirtschaftCentre for Promoting Vascular Health in the Ageing Community 868624Collaborative Cluster GrantCOMETDeutsche Forschungsgemeinschaft SCHU 2983/1-1Deutsche Forschungsgemeinschaft SCHU 2983/1-2German Center of Cardiovascular Research 81X3710113Imperial BHF Research Excellence Award RE/24/130023Standortagentur TirolVienna Business AgencyWirtschaftsagentur Wien
6 · The paper itself

Abstract

aimsPlatelets contain non-coding RNAs (ncRNAs), and their measurement may complement platelet aggregometry. METHODS AND

resultsIn the community-based Bruneck study (n = 338), we generated platelet-rich plasma (PRP), platelet-poor plasma (PPP), and platelets. PRP was subjected to aggregometry using various agonists and processed to platelet releasates thereafter. Releasates, PPP, and platelets underwent real-time polymerase chain reactions to measure ncRNAs. Platelet ncRNA release appeared agonist-specific, dose-dependent, and inhibited by aspirin. Collagen triggered the strongest release for most ncRNAs, whereas miR-150 was hyperresponsive to ADP, and miR-21 was hyperresponsive to arachidonic acid. Comparing the dynamic range of ncRNA release to aggregation, aggregation reached a maximum at high agonist concentrations, while ncRNAs continued to rise. Cohort-wide associations showed that inflammation parameters like neutrophil counts and C-reactive protein correlated inversely with platelet aggregation and ncRNA release. Similarly, a high leucocyte-derived RNA content in isolated platelets correlated inversely with aggregation. Inverse correlations were absent in aspirin users. Through experiments on plasma-free platelet releasates and platelets, including size-exclusion chromatography, ultracentrifugation, and degradation assays, we discovered that microRNAs and YRNAs are carried by proteins and readily released, while circular-, long non-coding-, and messenger RNAs are carried by vesicles and preferentially retained. Finally, we assessed ncRNA responses to short- and long-term dual anti-platelet therapy (DAPT) in plasma from 265 patients with acute myocardial infarction (AMI) of the PACMAN-AMI trial. Most of the DAPT effect was already achieved by 4 weeks, with a further reduction at 52 weeks, revealing a short- and long-term DAPT effect not captured by aggregometry.

conclusionInflammation and leucocyte-derived RNAs in isolated platelets are associated with reduced platelet responses ex vivo, potentially reflecting exhaustion through pre-activation in vivo. We show that protein-bound ncRNAs are readily released from platelets, whereas vesicle-bound ncRNAs are preferentially retained. We highlight the potential of ncRNAs as biomarkers complementing aggregometry.

Indexed as

Blood PlateletsInflammationMyocardial InfarctionPlatelet-Rich PlasmaRNA, UntranslatedAgedAged, 80 and overAspirinChromatography, GelDual Anti-Platelet TherapyFemaleGene Expression RegulationHumansLongitudinal StudiesMaleNeutrophilsAspirinPlatelet Aggregation InhibitorsRNA, UntranslatedAnti-platelet therapyCardiovascular diseaseLight transmission aggregometryNon-coding RNAPlatelet reactivity

Identifiers

PMID40460296
PMCPMC12352307

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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.