Evidence map›Paper›PMID 40931012›Full record

ArticleNature communications2025

Integrated single-cell atlas of human atherosclerotic plaques.

Korbinian Traeuble, Matthias Munz, Jessica Pauli, Nadja Sachs, Eshan Vafadarnejad, Tania Carrillo-Roa, Lars Maegdefessel, Peter Kastner, Matthias Heinig

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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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

9 authors.

Korbinian TraeubleInstitute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany.ORCID http://orcid.org/0009-0009-1413-3115
Matthias MunzResearch & Early Development, Discovery Sciences, Roche Diagnostics GmbH, Penzberg, Germany.ORCID http://orcid.org/0000-0002-4728-3357
Jessica PauliInstitute of Molecular Vascular Medicine, TUM University Hospital Rechts der Isar, Munich, Germany.ORCID http://orcid.org/0000-0001-5984-3529
Nadja SachsGerman Center for Cardiovascular Research, partner site Munich Heart Alliance, Berlin, Germany.ORCID http://orcid.org/0000-0001-8031-017X
Eshan VafadarnejadResearch & Early Development, Discovery Sciences, Roche Diagnostics GmbH, Penzberg, Germany.
Tania Carrillo-RoaResearch & Early Development, Discovery Sciences, Roche Diagnostics GmbH, Penzberg, Germany.ORCID http://orcid.org/0000-0001-6025-7017
Lars MaegdefesselInstitute of Molecular Vascular Medicine, TUM University Hospital Rechts der Isar, Munich, Germany.ORCID http://orcid.org/0000-0001-5228-2634
Peter Kastner *Research & Early Development, Discovery Sciences, Roche Diagnostics GmbH, Penzberg, Germany. peter.kastner@roche.com.ORCID http://orcid.org/0000-0001-8744-7152
Matthias Heinig *Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany. matthias.heinig@helmholtz-munich.de.ORCID http://orcid.org/0000-0002-5612-1720

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101088370
6 · The paper itself

Abstract

Atherosclerosis, a major cause of cardiovascular diseases, is characterized by the buildup of lipids and chronic inflammation in the arteries, leading to plaque formation and potential rupture. Despite recent advances in single-cell transcriptomics (scRNA-seq), the underlying immune mechanisms and transformations in structural cells driving plaque progression remain incompletely defined. Existing datasets often lack comprehensive coverage and consistent annotations, limiting the utility of downstream analyses. Here, we present an integrated single-cell atlas of human atherosclerotic plaques, covering roughly 250k high-quality annotated cells. We achieve robust cell type annotations validated by expert consensus and surface protein measurements. Using this atlas, we introduce distinct markers for plaque neutrophils, identify a proangiogenic endothelial cell cluster enriched in advanced lesions, and specialized macrophage subsets. We also establish that fibromyocytes are exclusive to vascular tissue. This comprehensive atlas enables accurate automatic cell type annotation of new datasets, improves experimental design by guiding sample size and detection power, and supports the deconvolution of bulk RNA-seq data. An interactive WebUI makes these resources widely accessible.

Indexed as

AtherosclerosisPlaque, AtheroscleroticSingle-Cell AnalysisEndothelial CellsGene Expression ProfilingHumansMacrophagesNeutrophilsRNA-SeqTranscriptome

Identifiers

PMID40931012
PMCPMC12423310

What OpenQuestion holds

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Registered trials

None linked

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.