Identifying vascular stiffening-sensitive macrophages through integration of single-cell transcriptomics and imaging flow cytometry
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Identifying vascular stiffening-sensitive macrophages through integration of single-cell transcriptomics and imaging flow cytometry

05/12/2025 Frontiers Journals

Increased extracellular matrix (ECM) stiffness, a hallmark of risk in cardiovascular disease (CVD), is closely associated with inflammation triggered by immune cell infiltration in the vessel wall. While numerous immunotherapies targeting inflammation in CVD are being developed, the specific immune components and key factors that respond to arterial stiffness remain unclear. In this work, we analyzed single-cell transcriptomics to identify immune cell populations sensitive to mechanical stress in stiffened carotid plaques. We utilized an in vitro model of polyacrylamide gels with varying stiffness and an in vivo mouse model of acute calcification to replicate arterial stiffening. An imaging flow cytometry panel was employed to determine specific cell populations and gene expression in response to ECM stiffening. The scRNA-seq analysis revealed that SPP1high macrophages constitute a prominent myeloid population influencing extracellular matrix composition. We uncovered that macrophages exhibit elevated SPP1 protein levels when cultured on a stiffer matrix. Additionally, the percentage of SPP1high macrophages increased in the stiffened arterial wall in the mouse model of vascular calcification. Collectively, we combined single-cell transcriptomics analysis with in vitro imaging flow cytometry studies to identify SPP1high macrophages as a population sensitive to ECM stiffness. Our findings suggest that macrophage SPP1 could serve as a potential biomarker for patients experiencing arterial stiffening.
DOI:10.52601/bpr.2025.240063
Fichiers joints
  • Image:  Immune cell distribution in human atherosclerotic plaques. A Workflow of the study including the raw data acquisition and bioinformatic analysis. B The Uniform Manifold Approximation and Projection (UMAP) plots of all cells which were divided into 13 clusters namely from C_0 to C_12. C The featured plot of classical marker genes of T cells (CD3D, CD3E), NK cells (NKG7, NCAM1), macrophages (CD68, LYZ), B cells (CD79A, CD79B) and plasma cells (IGHG1, IGHG3). D Profiles of the UMAP plots with each color represented one cell type. E Expression of top 5 marker genes of each cell type. F An overview of the number and percentage of each cell type
05/12/2025 Frontiers Journals
Regions: Asia, China
Keywords: Science, Life Sciences

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