Evidence map›Paper›PMID 40886063›Full record

ArticleEuropean heart journal2025

Reticulated platelets in coronary artery disease: a multidimensional approach unveils prothrombotic signalling and novel therapeutic targets.

Kilian Kirmes, Jiaying Han, Melissa Klug, Conor J Bloxham, Olena Babyak, Judith Bernett, Lis Arend, Quirin Manz, Leonora Raka, Leon Schwartz and 25 more

Abstract read
In one paragraph

Article in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
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  3. Article
  4. Review
  5. Article
  6. Article
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

35 authors.

Kilian KirmesDepartment of Internal Medicine I, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0001-6940-0983
Jiaying HanDepartment of Internal Medicine I, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0003-4158-4826
Melissa KlugDepartment of Internal Medicine I, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.
Conor J BloxhamDepartment of Internal Medicine I, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0003-1469-8174
Olena BabyakDepartment of Internal Medicine I, University Hospital of Augsburg, Faculty of Medicine, University of Augsburg, Stenglinstraße 2, Augsburg 86156, Germany.
Judith BernettData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0001-5812-8013
Lis ArendData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0001-7990-8385
Quirin ManzData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0002-5706-2718
Leonora RakaData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Leon SchwartzData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Markus HoffmannData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.ORCID 0000-0002-1920-288X
Marc RosenbaumInstitute of Clinical Chemistry and Pathobiochemistry, Technical University of Munich, Munich, Germany.
Jürgen RulandInstitute of Clinical Chemistry and Pathobiochemistry, Technical University of Munich, Munich, Germany.
Octavia-Andreea CioraData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Zakaria LouadiInstitute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
Olga TsoyInstitute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
Khalique NewazInstitute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.ORCID 0000-0002-1192-8360
Jessica ModicaDepartment of Cardiovascular Medicine, Humanitas Clinical and Research Center IRCCS and Humanitas University, via Alessandro Manzoni 56, 20089 Rozzano, Milan, Italy.
Carola Conca DioguardiInstitute of Genetics and Biomedical Research, UoS of Milan, National Research Council, Milan, Italy.
Clelia PeanoInstitute of Genetics and Biomedical Research, UoS of Milan, National Research Council, Milan, Italy.
Michaela MüllerData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Donato SantovitoGerman Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Giacomo ViggianiDepartment of Internal Medicine I, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.
Stephanie KühneDepartment of Internal Medicine I, University Hospital of Augsburg, Faculty of Medicine, University of Augsburg, Stenglinstraße 2, Augsburg 86156, Germany.
Moritz von ScheidtGerman Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.ORCID 0000-0001-7159-8271
Leo NicolaiGerman Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Tianjiao WuDepartment of Medicine I, Ludwig Maximilian University Hospital, Ludwig Maximilian University Munich, Munich, Germany.
Jan BaumbachInstitute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.ORCID 0000-0002-0282-0462
Mauro ChiaritoDepartment of Cardiovascular Medicine, Humanitas Clinical and Research Center IRCCS and Humanitas University, via Alessandro Manzoni 56, 20089 Rozzano, Milan, Italy.
Karl-Ludwig LaugwitzDepartment of Internal Medicine I, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.
Gianluigi CondorelliDepartment of Cardiovascular Medicine, Humanitas Clinical and Research Center IRCCS and Humanitas University, via Alessandro Manzoni 56, 20089 Rozzano, Milan, Italy.
Philip W J RaakeDepartment of Internal Medicine I, University Hospital of Augsburg, Faculty of Medicine, University of Augsburg, Stenglinstraße 2, Augsburg 86156, Germany.
Markus ListData Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Isabell BernlochnerDepartment of Internal Medicine I, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany.
Dario BongiovanniDepartment of Internal Medicine I, University Hospital of Augsburg, Faculty of Medicine, University of Augsburg, Stenglinstraße 2, Augsburg 86156, Germany.ORCID 0000-0002-4162-1482

Funding

China Scholarship Council 201908370219China Scholarship Council SFB1123-B05Clinician Scientist Programme 81X3600606Deutsche Forschungsgemeinschaft 422216132Deutsche Stiftung für Herzforschung F_41_18_revDGK ForschungstipendiumDZHK 81Z0600203Else Kröner Fresenius Stiftung 2020_EKEA.76Ernst und Berta Grimmke StiftungGerman Excellence InitiativeInstitute for Advanced StudyIntramural Research ProgramsItalian Ministry of HealthNIDDK NIH HHSRicerca Finalizzata GR-2021-12373399
6 · The paper itself

Abstract

BACKGROUND AND

aimsReticulated platelets (RPs), hyperreactive and RNA-rich, are associated with increased risk of cardiovascular events and suboptimal response to antiplatelet therapy in coronary artery disease (CAD). However, the underlying mechanisms remain poorly defined. This study aimed to characterize the molecular and functional phenotype of RPs in CAD and assess their potential as therapeutic targets.

methodsRPs and mature platelets (MPs) were isolated from CAD patients based on RNA content and CD41 expression. Paired RP vs MP comparisons were conducted within each donor. Transcriptomic profiling (RNA-seq) was integrated with high-dimensional proteomics (mass cytometry) and validated in independent cohorts. Functional studies, including flow cytometry-based platelet-platelet binding, in vitro thrombosis, platelet spreading, and intracellular phospho-protein profiling, assessed the impact of PI3K and GPVI pathways. Results were curated in Platlas, an open-access interactive web resource.

resultsAmong 95 CAD patients, RPs exhibited elevated activation marker expression and enrichment of prothrombotic pathways compared with MPs. RNA-seq revealed upregulation of GP6, TBXA2R, and VWF transcripts, novel GPVI splicing, and RP-specific non-coding RNAs including novel circRNAs. Proteomic and functional assays confirmed heightened PI3K and GPVI signalling, with increased phosphorylation of AKT, PI3K, and SYK, and elevated reactive oxygen species production. RPs showed increased aggregation, spreading and greater recruitment in thrombus formation, which were significantly reduced by PI3K (LY294002) and GPVI (glenzocimab) inhibition.

conclusionsThis study provides the first mechanistic explanation for RP hyperreactivity, revealing a distinct molecular profile and identifying GPVI and PI3K inhibition as promising targets for tailored antiplatelet therapy in CAD patients with elevated RPs.

Indexed as

Blood PlateletsCoronary Artery DiseaseThrombosisAgedFemaleGene Expression ProfilingHumansMaleMiddle AgedPlatelet ActivationPlatelet Aggregation InhibitorsPlatelet Membrane GlycoproteinsProteomicsSignal TransductionPlatelet Aggregation InhibitorsPlatelet Membrane GlycoproteinsCoronary artery diseaseGPVIMass cytometryReticulated plateletsThrombocytesTranscriptomics

Identifiers

PMID40886063
PMCPMC12665372

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.