Evidence map›Paper›PMID 42510819›Full record

ArticleGenes2026

Inflammatory and Structural Endotypes of Human Atherosclerotic Plaque Revealed by Integrated Transcriptomic Analysis.

Eunseuk Lee, Anshu Sutihar, Meirajuddin Tousif, Song Peng Ang, Daniel Tran, Jose Iglesias

Abstract read
In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Eunseuk LeeDepartment of Internal Medicine, Community Medical Center, Toms River, NJ 08755, USA.ORCID 0009-0004-3761-576X
Anshu SutiharDepartment of Internal Medicine, Community Medical Center, Toms River, NJ 08755, USA.
Meirajuddin TousifDepartment of Internal Medicine, Community Medical Center, Toms River, NJ 08755, USA.
Song Peng AngDivision of Cardiology, Sarver Heart Center, University of Arizona, Tucson, AZ 85724, USA.ORCID 0000-0001-8557-9880
Daniel TranDepartment of Cardiology, Community Medical Center, Toms River, NJ 08755, USA.
Jose IglesiasDepartment of Medicine, Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAtherosclerotic plaque instability is driven by complex interactions among inflammatory, structural, and cellular remodeling programs. While bulk RNA sequencing provides insight into tissue-level transcriptional states and single-cell RNA sequencing (scRNA-seq) defines cellular heterogeneity, integration across these transcriptomic layers remains limited. We aimed to identify coordinated transcriptional programs associated with stable and unstable plaque phenotypes and map these programs to specific cellular compartments and regulatory networks.

methodsPaired bulk RNA-seq data from stable and unstable human carotid plaques (GSE120521) and scRNA-seq data from human coronary atherosclerotic lesions (GSE131778) were analyzed. Differential expression and Hallmark gene set enrichment analyses were performed using limma and clusterProfiler. Bulk-derived inflammatory and structural signatures were projected onto single-cell data using Seurat module scoring. Compartment-level transcriptional scores, an inflammatory-structural endotype index, and transcription factor activity inference using decoupleR and DoRothEA were used to characterize plaque-associated transcriptional states.

resultsUnstable plaques demonstrated enrichment of inflammatory pathways, including interferon gamma response, inflammatory response, TNFα/NF-κB signaling, IL6/JAK/STAT3 signaling, complement activation, and reactive oxygen species pathways. In contrast, stable plaques demonstrated relative enrichment of myogenesis and structural remodeling programs. Projection of bulk-derived signatures onto single-cell data localized inflammatory programs predominantly to TREM2hi and inflammatory macrophage populations, whereas structural programs localized to smooth muscle cell and fibromyocyte-like compartments. Compartment-level analyses showed increased myeloid and adaptive immune signatures in unstable plaques and increased smooth muscle cell/fibro-remodeling signatures in stable plaques. Transcription factor activity analysis identified increased SPI1, NFKB1, RELA, and STAT1 activity in unstable plaques and higher SRF and TEAD1 activity in stable plaques.

conclusionsIntegrative analysis of bulk and single-cell transcriptomic data identified distinct inflammatory and structural plaque transcriptional states associated with unstable and stable plaque phenotypes, respectively. These findings support a systems-level framework linking tissue-level plaque behavior to specific cellular and regulatory programs and provide evidence for inflammatory and structural plaque endotypes in human atherosclerosis.

Indexed as

InflammationPlaque, AtheroscleroticTranscriptomeGene Expression ProfilingHumansSignal TransductionSingle-Cell AnalysisSingle-Cell Gene Expression Analysisatherosclerosisbulk RNA sequencingendotypesmacrophagesplaquesingle-cell RNA sequencingsmooth muscle cellstranscription factorstranscriptomics

Identifiers

PMID42510819
PMCPMC13409403

What OpenQuestion holds

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LicenceCC BY
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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.