6 research outputs found

    Microanatomy of the Human Atherosclerotic Plaque by Single-Cell Transcriptomics

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    Rationale:Atherosclerotic lesions are known for their cellular heterogeneity, yet the molecular complexity within the cells of human plaques has not been fully assessed.Objective:Using single-cell transcriptomics and chromatin accessibility, we gained a better understanding of the pathophysiology underlying human atherosclerosis.Methods and Results:We performed single-cell RNA and single-cell ATAC sequencing on human carotid atherosclerotic plaques to define the cells at play and determine their transcriptomic and epigenomic characteristics. We identified 14 distinct cell populations including endothelial cells, smooth muscle cells, mast cells, B cells, myeloid cells, and T cells and identified multiple cellular activation states and suggested cellular interconversions. Within the endothelial cell population, we defined subsets with angiogenic capacity plus clear signs of endothelial to mesenchymal transition. CD4(+) and CD8(+) T cells showed activation-based subclasses, each with a gradual decline from a cytotoxic to a more quiescent phenotype. Myeloid cells included 2 populations of proinflammatory macrophages showing IL (interleukin) 1B or TNF (tumor necrosis factor) expression as well as a foam cell-like population expressing TREM2 (triggering receptor expressed on myeloid cells 2) and displaying a fibrosis-promoting phenotype. ATACseq data identified specific transcription factors associated with the myeloid subpopulation and T cell cytokine profiles underlying mutual activation between both cell types. Finally, cardiovascular disease susceptibility genes identified using public genome-wide association studies data were particularly enriched in lesional macrophages, endothelial, and smooth muscle cells.Conclusions:This study provides a transcriptome-based cellular landscape of human atherosclerotic plaques and highlights cellular plasticity and intercellular communication at the site of disease. This detailed definition of cell communities at play in atherosclerosis will facilitate cell-based mapping of novel interventional targets with direct functional relevance for the treatment of human disease

    Replication Data for: "Single-cell T-cell Receptor sequencing of paired human atherosclerotic plaques and blood reveals autoimmune-like features of expanded effector T-cells."

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    These are the single-cell TCR sequencing (scTCRseq) on human carotid artery plaques from the Athero-Express Biobank Study as used after quality control in the paper referenced below; below the abstract. Abstract We applied single-cell TCR sequencing (scTCRseq) on human carotid artery plaques and patient matched PBMC samples to assess the extent of TCR clonality and antigen specific activation within the various T-cell subsets on 3 patients, and applied bulk CDR3b sequencing of matched PBMC and plaque material of 10 patients. CellChat was used to analyze potential interactions of effector CD4+ T-cells with foam cells in the plaque. Finally, we integrated a published scTCRseq dataset of the autoimmune disease psoriatic arthritis to assess commonalities and differences between the two diseases. In this repository we provide the raw atherosclerosis TCRseq data, the bulk sequencing data, and the code that was used for the analysis of the data. GitHub A link to the public GitHub repository: link. This contains all scripts used for the data, which is pseudonymized and shared here. Athero-Express Biobank Study The AE started in 2002 and now includes over 3,500 patients who underwent surgery to remove atherosclerotic plaques (endarterectomy) from one (or more) of their major arteries (majority carotids and femorals); this is further described here. The study design and staining protocols are described by Verhoeven et al. Additional data Additional clinical data is available upon discussion and signing a Data Sharing Agreement (see Terms of Access). PlaqView Please note, that we will also integrate these data through PlaqView, but they are not available yet.In collaboration with the http://millerlab.org from the University of Virginia (USA) we created PlaqView.com. You can query any gene of interest in many carotid-plaque datasets, including ours. From our experience we know that usually this suffices most research questions and prevents the lengthy process of obtaining these data through a DSA

    IL-23R deficiency does not impact atherosclerotic plaque development in mice

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    Background--Interleukin-23 (IL-23) has been implicated in inflammatory and autoimmune diseases by skewing CD4+ T helper cells towards a pathogenic Th17 phenotype. In this study we investigated the presence of IL-23 receptor (IL-23R)-expressing cells in the atherosclerotic aorta and evaluated the effect of IL-23R deficiency on atherosclerosis development in mice. Methods and Results--We used heterozygous Ldlr-/-Il23reGFP/WT knock-in mice to identify IL-23R-expressing cells by flow cytometry and homozygous Ldlr-/-Il23reGFP/eGFP (Ldlr-/- Il23r-/-) mice to investigate the effect of lack of IL-23R in atherosclerosis. We demonstrate the presence of relatively rare IL-23R-expressing cells in lymphoid tissue and aorta (≈0.1-1% IL23R+ cells of all CD45+ leukocytes). After 10 weeks on a high-fat diet, production of IL-17, but not interferon-c, by CD4+ T cells and other lymphocytes was reduced in Ldlr-/- Il23r-/- compared with Ldlr-/-controls. However, Ldlr-/- and Ldlr-/-Il23r-/- mice had equivalent amounts of aortic sinus and descending aorta lesions. Adoptive transfer of IL-23R-deficient CD4+ T cells to lymphopenic Ldlr-/-Rag1-/- resulted in dramatically reduced IL-17-producing T cells but did not reduce atherosclerosis, compared with transfer of IL-23R-sufficient CD4+ T cells. Conclusions--These data demonstrate that loss of IL-23R does not affect development of experimental atherosclerosis in LDLrdeficient mice, despite a role for IL-23 in differentiation of IL-17-producing T cells

    Increased lymphocyte activation and atherosclerosis in CD47-deficient mice

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    CD47, also known as integrin-associated protein (IAP), is a transmembrane protein with multiple biological functions including regulation of efferocytosis and leukocyte trafficking. In this study we investigated the effect of CD47-deficiency on atherosclerosis using a model of adeno-associated virus (AAV)-induced hypercholesterolemia. We observed increased plaque formation in CD47 null mice compared to wild-type controls. Loss of CD47 caused activation of dendritic cells, T cells and natural killer (NK) cells, indicating an important role for CD47 in regulating immunity. In particular, Cd47 deficiency increased the proportion of IFN-γ producing CD90+ NK cells. Treatment with depleting anti-NK1.1 monoclonal antibody (mAb), but not depleting anti-CD4/CD8 mAbs, equalized atherosclerotic burden, suggesting NK cells were involved in the enhanced disease in Cd47 deficient mice. Additional studies revealed that levels of CD90+ and IFN-γ+ NK cells were expanded in atherosclerotic aorta and that CD90+ NK cells produce more IFN-γ than CD90- NK cells. Finally, we demonstrate that anti-CD47 (MIAP410) causes splenomegaly and activation of DCs and T cells, without affecting NK cell activation. In summary, we demonstrate that loss of CD47 causes increased lymphocyte activation that results in increased atherosclerosis

    Flow Cytometry-Based Characterization of Mast Cells in Human Atherosclerosis

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    The presence of mast cells in human atherosclerotic plaques has been associated with adverse cardiovascular events. Mast cell activation, through the classical antigen sensitized-IgE binding to their characteristic Fcε-receptor, causes the release of their cytoplasmic granules. These granules are filled with neutral proteases such as tryptase, but also with histamine and pro-inflammatory mediators. Mast cells accumulate in high numbers within human atherosclerotic tissue, particularly in the shoulder region of the plaque. These findings are largely based on immunohistochemistry, which does not allow for the extensive characterization of these mast cells and of the local mast cell activation mechanisms. In this study, we thus aimed to develop a new flow-cytometry based methodology in order to analyze mast cells in human atherosclerosis. We enzymatically digested 22 human plaque samples, collected after femoral and carotid endarterectomy surgery, after which we prepared a single cell suspension for flow cytometry. We were able to identify a specific mast cell population expressing both CD117 and the FcεR, and observed that most of the intraplaque mast cells were activated based on their CD63 protein expression. Furthermore, most of the activated mast cells had IgE fragments bound on their surface, while another fraction showed IgE-independent activation. In conclusion, we are able to distinguish a clear mast cell population in human atherosclerotic plaques, and this study establishes a strong relationship between the presence of IgE and the activation of mast cells in advanced atherosclerosis. Our data pave the way for potential therapeutic intervention through targeting IgE-mediated actions in human atherosclerosis

    Microanatomy of the Human Atherosclerotic Plaque by Single-Cell Transcriptomics

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    These are the single-cell RNAseq data from the Athero-Express Biobank Study as used after quality control in the paper referenced below; below the abstract. Rationale Atherosclerotic lesions are known for their cellular heterogeneity, yet the molecular complexity within the cells of human plaques has not been fully assessed. Objective Using single-cell transcriptomics and chromatin accessibility, we gained a better understanding of the pathophysiology underlying human atherosclerosis. Methods and Results We performed single-cell RNA and single-cell ATAC sequencing on human carotid atherosclerotic plaques to define the cells at play and determine their transcriptomic and epigenomic characteristics. We identified 14 distinct cell populations including endothelial cells, smooth muscle cells, mast cells, B cells, myeloid cells, and T cells and identified multiple cellular activation states and suggested cellular interconversions. Within the endothelial cell population, we defined subsets with angiogenic capacity plus clear signs of endothelial to mesenchymal transition. CD4+ and CD8+ T cells showed activation-based subclasses, each with a gradual decline from a cytotoxic to a more quiescent phenotype. Myeloid cells included 2 populations of proinflammatory macrophages showing IL (interleukin) 1B or TNF (tumor necrosis factor) expression as well as a foam cell-like population expressing TREM2 (triggering receptor expressed on myeloid cells 2) and displaying a fibrosis-promoting phenotype. ATACseq data identified specific transcription factors associated with the myeloid subpopulation and T cell cytokine profiles underlying mutual activation between both cell types. Finally, cardiovascular disease susceptibility genes identified using public genome-wide association studies data were particularly enriched in lesional macrophages, endothelial, and smooth muscle cells. Conclusions This study provides a transcriptome-based cellular landscape of human atherosclerotic plaques and highlights cellular plasticity and intercellular communication at the site of disease. This detailed definition of cell communities at play in atherosclerosis will facilitate cell-based mapping of novel interventional targets with direct functional relevance for the treatment of human disease. GitHub A link to the public GitHub repository: https://github.com/CirculatoryHealth/MicroanatomyHumanPlaque_scRNAseq. This contains all scripts used for the data, which is pseudonymized and shared here. We also made a private GitHub repository (https://github.com/CirculatoryHealth/AE_TEMPLATE_SCRNASEQ_DATA_SHARE) to enable easy sharing with third parties, publicly or privately. Athero-Express Biobank Study The AE started in 2002 and now includes over 3,500 patients who underwent surgery to remove atherosclerotic plaques (endarterectomy) from one (or more) of their major arteries (majority carotids and femorals); this is further described here. The study design and staining protocols are described by Verhoeven et al.. Additional data Additional clinical data is available upon discussion and signing a Data Sharing Agreement (see Terms of Access). PlaqView In collaboration with the http://millerlab.org from the University of Virginia (USA) we created PlaqView.com. You can query any gene of interest in many carotid-plaque datasets, including ours. From our experience we know that usually this suffices most research questions and prevents the lengthy process of obtaining these data through a DSA
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