ArticleJournal of atherosclerosis and thrombosis2026
A Single-Cell Analysis Reveals Macrophage Heterogeneity Driving Plaque Vulnerability in Coronary and Carotid Arteries.
Article in Journal of atherosclerosis and thrombosis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Integrative Single-Cell Transcriptomics, Multi-Omics Analyses, and Computational Pharmacology Reveal Macrophage Heterogeneity and the Putative THBS1-CD36 Axis in Coronary Atherosclerosis.Chemical biology & drug design · 2026Article
- Article
- Exploration of SOCS3 and HSPA1A in PANoptosis during acute myocardial infarction and chronic kidney disease.Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimAcute coronary syndrome (ACS) and ischemic stroke are major life-threatening conditions caused by atherosclerosis. Although the mechanisms of atherosclerosis appear to be broadly similar across different vascular beds, growing evidence suggests that there are morphological and histological differences between coronary and carotid atherosclerosis. To identify disease-specific therapeutic strategies, we aimed to compare ACS and chronic coronary syndrome (CCS) in coronary artery disease, and symptomatic and asymptomatic carotid artery disease.
methodsWe analyzed our own single-cell RNA sequencing dataset for coronary artery disease (GSE184073) and a publicly available dataset for carotid artery disease (GSE253903). Myeloid cells were extracted from these datasets and comparative analyses were performed using metabolic profiling and an RNA velocity analysis.
resultsBy integrating multiple velocity-inference approaches, including the original and dynamic RNA velocity models, TFvelo using transcription factor regulatory information, and CellRank, we consistently identified a differentiation trajectory toward interleukin-1B (IL1B)
conclusionsOur findings revealed a shared differentiation trajectory into IL1B
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Registered trials
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.