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Immunothrombotic Cell-Cell Communication Networks in Coronary Atherosclerosis: Critical Insights from Single-Cell and
Beata Krasińska1, Antoni Staniewski2, Oliwia Kalus2
1Department of Hypertensiology, Angiology, and Internal Medicine, Poznan University of Medical Sciences, 61-848 Poznan, Poland.
Insights
Coronary artery disease (CAD) involves complex cell-cell communication networks driving immunothrombosis. Understanding these spatially organized cellular networks is key to identifying therapeutic targets for CAD.
Area of Science:
- Cardiovascular Biology
- Immunology
- Genomics
Background:
- Coronary artery disease (CAD) is increasingly viewed as a thromboinflammatory condition.
- Innate immune activation and coagulation are closely linked within atherosclerotic plaques.
- Single-cell and spatial technologies reveal localized cellular niches driving these processes.
Purpose of the Study:
- To review studies integrating advanced technologies to map cell-cell communication in CAD immunothrombosis.
- To characterize the networks driving inflammation and coagulation within the plaque microenvironment.
- To evaluate the translational relevance of current findings.
Main Methods:
- Single-cell RNA sequencing
- Spatial transcriptomics
- Ligand-receptor modeling
- Mechanistic and translational study evaluation
Main Results:
- Heterogeneity exists in macrophages, neutrophils, and smooth muscle cells, with distinct subpopulations.
- Procoagulant and inflammatory programs converge in high-risk plaque regions.
- Cellular networks, not uniform inflammation, drive immunothrombosis in CAD.
Conclusions:
- Immunothrombosis in CAD is an emergent property of spatially organized cellular networks.
- Candidate therapeutic nodes are identified, but causal roles require validation.
- Distinguishing causal drivers from transcriptional correlates is a key translational challenge.
Abstract:
Coronary artery disease (CAD) is increasingly recognized as a thromboinflammatory disorder in which innate immune activation and coagulation are tightly coupled within the plaque microenvironment. Emerging single-cell and spatial technologies have refined this paradigm by demonstrating that these processes are not diffusely distributed but instead concentrated within discrete cellular niches. This narrative review critically evaluates mechanistic and translational studies integrating single-cell RNA sequencing, spatial transcriptomics, and ligand-receptor modeling to characterize cell-cell communication networks driving immunothrombosis in CAD. Converging evidence from single-cell and spatial studies indicates substantial heterogeneity among macrophages, neutrophils, and smooth muscle cells, with functionally distinct subpopulations contributing differentially to inflammation, matrix remodeling, and thrombogenicity. Spatial analyses further demonstrate that procoagulant and inflammatory programs converge in anatomically defined high-risk regions, particularly at the plaque shoulder and sites of endothelial dysfunction. However, whether these transcriptional states represent causal drivers or epiphenomena remains unresolved. Many insights are derived from murine models or dissociated tissues, raising concerns regarding translational relevance and loss of spatial context. Additionally, computational inference of intercellular communication remains indirect and requires functional validation. In conclusion, immunothrombosis in CAD should be interpreted as an emergent property of spatially organized cellular networks rather than a uniform inflammatory state. While these approaches identify candidate therapeutic nodes, their clinical translation and the central challenge is to distinguish causal regulatory nodes from transcriptional correlates generated by high-dimensional profiling.
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