Evidence map›Paper›PMID 39552248›Full record

ArticleEuropean heart journal2025

Atheroma transcriptomics identifies ARNTL as a smooth muscle cell regulator and with clinical and genetic data improves risk stratification.

Sampath Narayanan, Sofija Vuckovic, Otto Bergman, Robert Wirka, Jose Verdezoto Mosquera, Qiao Sen Chen, Damiano Baldassarre, Elena Tremoli, Fabrizio Veglia, Mariette Lengquist and 8 more

Erratum issuedAbstract 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. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Sampath NarayananVascular Surgery, Department of Molecular Medicine and Surgery, Karolinska University Hospital and Karolinska Institutet, BioClinicum J8:20, Visionsgatan 4, SE-171 76 Stockholm, Sweden.
Sofija VuckovicVascular Surgery, Department of Molecular Medicine and Surgery, Karolinska University Hospital and Karolinska Institutet, BioClinicum J8:20, Visionsgatan 4, SE-171 76 Stockholm, Sweden.
Otto BergmanDivision of Cardiovascular Medicine, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, Solna, Sweden.
Robert WirkaDepartment of Medicine and Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jose Verdezoto MosqueraCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Qiao Sen ChenDivision of Cardiovascular Medicine, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, Solna, Sweden.
Damiano BaldassarreCentro Cardiologico Monzino, IRCCS, Milan, Italy.ORCID 0000-0002-2766-8882
Elena TremoliCentro Cardiologico Monzino, IRCCS, Milan, Italy.
Fabrizio VegliaCentro Cardiologico Monzino, IRCCS, Milan, Italy.
Mariette LengquistVascular Surgery, Department of Molecular Medicine and Surgery, Karolinska University Hospital and Karolinska Institutet, BioClinicum J8:20, Visionsgatan 4, SE-171 76 Stockholm, Sweden.
Redouane AherahrrouA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Anton RazuvaevVascular Surgery, Department of Molecular Medicine and Surgery, Karolinska University Hospital and Karolinska Institutet, BioClinicum J8:20, Visionsgatan 4, SE-171 76 Stockholm, Sweden.
Bruna GiganteDivision of Cardiovascular Medicine, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, Solna, Sweden.ORCID 0000-0003-4508-7990
Hanna M BjörckDivision of Cardiovascular Medicine, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, Solna, Sweden.
Clint L MillerCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0003-4276-3607
Thomas QuertermousDivision of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.
Ulf HedinVascular Surgery, Department of Molecular Medicine and Surgery, Karolinska University Hospital and Karolinska Institutet, BioClinicum J8:20, Visionsgatan 4, SE-171 76 Stockholm, Sweden.ORCID 0000-0001-9212-3945
Ljubica MaticVascular Surgery, Department of Molecular Medicine and Surgery, Karolinska University Hospital and Karolinska Institutet, BioClinicum J8:20, Visionsgatan 4, SE-171 76 Stockholm, Sweden.ORCID 0000-0002-7294-9667

Funding

Multimodal genetic regulatory architecture of coronary artery diseaseR01HL148239 · NHLBI · UNIVERSITY OF VIRGINIA · PI Clint L Miller · 2019 to 2026
$4.2M
Functional genomics investigation of pleiotropic vascular disease lociR01HL164577 · NHLBI · UNIVERSITY OF VIRGINIA · PI MILLER, CLINT L · 2022 to 2025
$2.3M
Chan Zuckerberg InitiativeChan Zuckerberg Initiative, LLCEuropean Union 101136962Fondation Leducq 'PlaqOmicsKarolinska Institute ConsolidatorKing Gustav Vth and Queen Victoria's FoundationNHLBI NIH HHS R01 HL148239NHLBI NIH HHS R01 HL164577NIH HHS R01HL148239Silicon Valley Community FoundationSingle-Cell Data InsightsSwedish Heart-Lung Foundation 20230357Swedish Research Council 2023-02724Swedish Society for Medical Research P13-0171
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe role of vascular smooth muscle cells (SMCs) in atherosclerosis has evolved to indicate causal genetic links with the disease. Single cell RNA sequencing (scRNAseq) studies have identified multiple cell populations of mesenchymal origin within atherosclerotic lesions, including various SMC sub-phenotypes, but it is unknown how they relate to patient clinical parameters and genetics. Here, mesenchymal cell populations in atherosclerotic plaques were correlated with major coronary artery disease (CAD) genetic variants and functional analyses performed to identify SMC markers involved in the disease.

methodsBioinformatic deconvolution was done on bulk microarrays from carotid plaques in the Biobank of Karolinska Endarterectomies (BiKE, n = 125) using public plaque scRNAseq data and associated with patient clinical data and follow-up information. BiKE patients were clustered based on the deconvoluted cell fractions. Quantitative trait loci (QTLs) analyses were performed to predict the effect of CAD associated genetic variants on mesenchymal cell fractions (cfQTLs) and gene expression (eQTLs) in plaques.

resultsLesions from symptomatic patients had higher fractions of Type 1 macrophages and pericytes, but lower fractions of classical and modulated SMCs compared with asymptomatic ones, particularly females. Presence of diabetes or statin treatment did not affect the cell fraction distribution. Clustering based on plaque cell fractions, revealed three patient groups, with relative differences in their stability profiles and associations to stroke, even during long-term follow-up. Several single nucleotide polymorphisms associated with plaque mesenchymal cell fractions, upstream of the circadian rhythm gene ARNTL were identified. In vitro silencing of ARNTL in human carotid SMCs increased the expression of contractile markers and attenuated cell proliferation.

conclusionsThis study shows the potential of combining scRNAseq data with vertically integrated clinical, genetic, and transcriptomic data from a large biobank of human plaques, for refinement of patient vulnerability and risk prediction stratification. The study revealed novel CAD-associated variants that may be functionally linked to SMCs in atherosclerotic plaques. Specifically, variants in the ARNTL gene may influence SMC ratios and function, and its role as a regulator of SMC proliferation should be further investigated.

Indexed as

ARNTL Transcription FactorsCoronary Artery DiseaseMuscle, Smooth, VascularMyocytes, Smooth MusclePlaque, AtheroscleroticAgedAryl Hydrocarbon Receptor Nuclear TranslocatorFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideQuantitative Trait LociRisk AssessmentTranscriptomeARNTL Transcription FactorsARNT protein, humanAryl Hydrocarbon Receptor Nuclear TranslocatorAtherosclerosisMulti-omicsPlaquesSingle-cell RNAseqSmooth muscle cells

Identifiers

PMID39552248
PMCPMC11735083

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.