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Örd, T.

Publications and source records attributed to Örd, T..

6 recordsLinked to original sources

Transcriptomic, Specific Marker, and Pathway Analysis of Smooth Muscle Cell Foam Cells Compared to Macrophage Foam Cells in Human Atherosclerosis

BACKGROUNDSmooth muscle cells (SMCs) are reported to contribute the majority of cholesterol-overloaded foam cells in human and mouse atheromas. However, the transcriptome, specific markers, and biologic itinerary of SMC foam cells relative to macrophage foam cells have not been determined. METHODSTranscriptomic analysis by single cell RNA sequencing (scRNA-seq) was performed on fresh coronary segments from heart transplant recipients with early to intermediate stage atherosclerosis. The gene expression pattern of a putative cluster of SMC foam cells was compared to those of cultured SMCs loaded with either aggregated low density lipoprotein (agLDL) or cholesterol bound to methyl-{beta}-cyclodextrin (Chol-M{beta}CD). Candidate markers of SMC foam cells not expressed by macrophage foam cells were validated in ours and publicly available datasets, by spatial transcriptomics and by immunofluorescence microscopy of human atheromas. Pathway analysis was performed using Gene Set Enrichment Analysis Hallmark gene sets. RESULTSSMC foam cells derived from fibromyocytes were tentatively identified using a panel of markers upregulated with in vitro cholesterol loading of SMCs. agLDL loading reproduced the same transcriptional profile, whereas Chol-M{beta}CD did not reproduce any in vivo SMC state. Top genes highly represented in SMC foam cells included SERPINE1, encoding plasminogen activator inhibitor 1 (PAI-1) and CFH, complement factor H, which were validated in further human coronary scRNA-seq datasets, by Xenium spatial transcriptomics, and by immunofluorescence microscopy. Relative to macrophage foam cells, SMC foam cells exhibit a distinct biologic itinerary, including activation of extracellular matrix, coagulation and angiogenesis pathways. CONCLUSIONSSMC foam cells, which are derived from fibromyocytes ("lipomyocytes"), exhibit unique markers and biologic programs that differ markedly from macrophage foam cells in atherosclerotic plaque development. Further understanding of the role of lipomyocytes and their expression of CFH and PAI-1 expression in plaque biology may offer novel therapeutic options to reduce ischemic cardiovascular disease. Novelty and SignificanceO_ST_ABSWhat is Known?C_ST_ABSO_LISingle-cell transcriptomic studies have demonstrated vascular SMCs undergo extensive phenotypic modulation during atherosclerosis, giving rise to fibromyocytes and other intermediate cell states. C_LIO_LISMC-derived foam cells constitute a major proportion of plaque foam cells. C_LIO_LIPrevious studies have shown that SMC-derived foam cells differ from macrophage-derived foam cells in cholesterol handling and lipid metabolism, making their identification using conventional macrophage-associated foam-cell markers challenging, and highlighting the need for SMC foam cell-specific molecular markers. C_LI What New Information Does This Article ContributeO_LIBy integrating published transcriptomic datasets with bulk RNA-sequencing of agLDL-loaded human SMCs, we identify the transcriptional program of human SMC-derived foam cells and demonstrate that these cells are embedded within the fibromyocyte population rather than forming a distinct cell cluster. C_LIO_LIagLDL loading in vitro reproduces the in vivo SMC foam-cell phenotype, whereas loading with cholesterol bound to cyclodextrin induces an inflammatory state not found in any in vivo SMC state in human atherosclerosis. C_LIO_LICFH and SERPINE1 were identified as specific markers of SMC-derived foam cells and validated by immunostaining and Xenium spatial transcriptomics, providing robust markers for identification of these cells in human atherosclerotic plaques. C_LIO_LIThe top transcriptional programs activated in SMC foam cells differ completely from macrophage foam cells and include extracellular matrix remodeling, complement regulation, coagulation and angiogenesis. C_LI In this study, we mapped smooth muscle foam cells to the fibromyocyte cluster of arterial SMC subtypes in human coronary artery atheromas. In vitro loading of smooth muscle cells with aggregated low-density lipoprotein, the presumed physiologic substrate for foam cell formation during plaque development, induced a gene expression pattern that localized to the same fibromyocyte cluster. The proposed sequence of SMC foam cell formation is that fibromyocytes present in human pre-atherosclerotic intima generate the proteoglycans that bind lipoproteins and allow their uptake by fibromyocytes to generate cholesterol-loaded "lipomyocytes". Lipid loading of fibromyocytes drives expression of specific markers and transcriptional programs, but with an overall gene expression pattern that continues to resemble fibromyocytes. We demonstrate here that lipomyocytes express the specific markers CFH and SERPINE1, and exhibit activation of a completely different set of pathways relative to macrophage foam cells in the plaque. These findings provide evidence for the unique phenotype and specific markers of lipomyocytes relative to macrophage foam cells in human atherosclerosis, which will be critical in evaluating the response of these different types of foam cell to novel therapies.

genomics↗

Integrated ambient modeling and genetic demultiplexing of single-cell RNA+ATAC multiome experiments with Ambimux

Single cell technologies have advanced at a rapid pace, providing assays for various molecular phenotypes. Droplet-based single cell technologies, particularly those based on nuclei isolation, such as simultaneous RNA+ATAC single-cell multiome, are susceptible to exogenous ambient molecule contamination, which can increase noise in cell type-level associations. We reasoned that genotype-based sample multiplexing can provide an opportunity to infer this ambient contamination by leveraging DNA variation in sequenced reads. Thus, we developed ambimux, a likelihood-based method to estimate ambient fractions and demultiplex single-cell multiome experiments using genotype-level data. Ambimux models the ambient or nuclear probability at the read level and thus can classify empty droplets and estimate droplet-specific ambient molecule fractions in each modality. We first evaluated our method using simulated data sets across a range of parameters. We found that ambimux closely estimated the ground truth droplet contamination fractions in the RNA (MAE=0.048) and ATAC (MAE=0.042) modalities. As a result, ambimux maintained high specificity (>95%) and was able to correctly assign singlets at considerably high ambient fractions (up to 60%) for both RNA and ATAC modalities. In comparison with models that do not consider ambient contamination, these only maintained similar sensitivity levels at considerably lower ambient fractions (up to 25%). We then generated a real data set of seven visceral adipose tissue biopsies run on a single 10x Multiome channel. We ran ambimux and detected 4,986 singlets, capturing similar numbers as other methods. Then, we sought to evaluate the fidelity of the ambient fraction estimates from ambimux. We split singlets into ambient-enriched (>5% contamination in both modalities) or nuclear-enriched (<5% in both) droplets and performed gene-peak linkage analysis. Low ambient droplets resulted in more significant hits with gene-peak links enriched at the transcription start site relative to high ambient droplets, suggesting that the ambient droplets identified by ambimux hamper the identification of biologically meaningful signals. In summary, we developed a joint single-cell multiome demultiplexing method, ambimux, that accurately models and estimates ambient molecule contamination in each modality.

bioinformatics↗

Colchicine promotes atherosclerotic plaque stability independently of inflammation

Atherosclerosis is a chronic inflammatory disease which is driven in part by the aberrant trans-differentiation of vascular smooth muscle cells (SMCs). No therapeutic drug has been shown to reverse detrimental SMC-derived cell phenotypes into protective phenotypes, a hypothesized enabler of plaque regression and improved patient outcome. Herein, we describe a novel function of colchicine in the beneficial modulation of SMC-derived cell phenotype, independent of its conventional anti-inflammatory effects. Using SMC fate mapping in an advanced atherosclerotic lesion model, colchicine induced plaque regression by converting pathogenic SMC-derived macrophage-like and osteoblast-like cells into protective myofibroblast-like cells which thickened, and thereby stabilized, the fibrous cap. This was dependent on Notch3 signaling in SMC-derived plaque cells. These findings may help explain the success of colchicine in clinical trials relative to other anti-inflammatory drugs. Thus, we demonstrate the potential of regulating SMC phenotype in advanced plaque regression through Notch3 signaling, in addition to the canonical anti-inflammatory actions of drugs to treat atherosclerosis.

cell biology↗

Coronary Artery Disease risk variant dampens the expression of CALCRL by reducing HSF binding to shear stress responsive enhancer in endothelial cells

Coronary artery disease (CAD) is one of the major causes of mortality worldwide. Recent genome-wide association studies have started to unravel the genetic architecture of the disease. Such efforts have identified Calcitonin receptor-like (CALCRL), an important mediator of the endothelial fluid shear stress response, associated with CAD risk variants. In this study we functionally characterized the non-coding regulatory elements carrying CAD risks SNPs and studied their role in the regulation of CALCRL expression in endothelial cells. We demonstrate that rs880890-harboring regulatory element exhibits high enhancer activity and significant allelic bias with A allele showing 40% more activity than G allele. We also observed that the A allele of rs880890 is favored over the G allele under shear stress. CRISPR deletion of rs880890-enhancer resulted in downregulation of CALCRL expression. EMSA further showed that heat shock factors are binding to the enhancer with a preference for A allele over the G allele. In line with this, HSF1 knockdown resulted in a significant decrease in CALCRL expression. CALCRL knockdown as well as variant perturbation experiments confirmed the role of CALCRL in the regulation of eNOS, apelin, angiopoietin, prostaglandins and endothelin-1 signaling pathways while demonstrating a significant decrease in cell proliferation and tube formation. Overall, our results demonstrate the existence of an endothelial-specific heat shock factor regulated transcriptional enhancer carrying a CAD risk SNP rs880890 that regulates CALCRL expression. Better understanding of CALCRL gene regulation and the role of SNPs in modulation of CALCRL expression could provide important steps towards understanding genetic regulation of shear stress signaling responses.

genetics↗

ErbB Signalling is a Potential Therapeutic Target for Vascular Lesions with Fibrous Component

BackgroundSporadic venous malformation (VM) and angiomatosis of soft tissue (AST) are benign, congenital vascular anomalies affecting venous vasculature. Depending on the size and location of the lesion, symptoms vary from motility disturbances to pain and disfigurement. Due to high recurrence of the lesions more effective therapies are needed. MethodsAs targeting stromal cells has been an emerging concept in anti-angiogenic therapies, here, by using VM/AST patient samples, RNA-sequencing, cell culture techniques and a xenograft mouse model, we investigated the crosstalk of endothelial cells (EC) and fibroblasts and its effect on vascular lesion growth. ResultsWe report, for the first time, expression and secretion of transforming growth factor A (TGFA) in ECs or intervascular stromal cells in AST and VM lesions. TGFA induced secretion of VEGF-A paracrinally, and regulated EC proliferation. Oncogenic PIK3CA variant in p.H1047R, a common somatic mutation found in these lesions, increased TGFA expression, enrichment of hallmark hypoxia, and in a mouse xenograft model, lesion size and vascularization. Treatment with afatinib, a pan-ErbB tyrosine-kinase inhibitor, decreased vascularization and lesion size in mouse xenograft model with ECs expressing oncogenic PIK3CA p.H1047R variant and fibroblasts. ConclusionsBased on the data, we suggest that targeting of both intervascular stromal cells and ECs is a potential treatment strategy for vascular lesions having a fibrous component. FundingAcademy of Finland, Ella and Georg Ehnrooth foundation, the ERC grants, Sigrid Juselius Foundation, Finnish Foundation for Cardiovascular Research, Jane and Aatos Erkko Foundation, and Department of Musculosceletal and Plastic Surgery, Helsinki University Hospital. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/509204v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@14ec94aorg.highwire.dtl.DTLVardef@1812747org.highwire.dtl.DTLVardef@39d01eorg.highwire.dtl.DTLVardef@18e9e35_HPS_FORMAT_FIGEXP M_FIG Graphical abstract. Proposed model for the paracrine signaling of TGFA/VEGF-A in vascular lesion Schematic illustration showing the general structure of venous malformation or angiomatosis of soft tissue. Pathological vasculature in the lesion (dark blue) is surrounded by disorganized extracellular matrix (ECM) and intervascular stromal cells (SCs, orange). High magnification from the area close to vessel wall demonstrates the proposed model for crosstalk between endothelial cells (ECs) and SCs. A mutation in phosphatidylinositol-4,5-biphosphate 3-kinase catalytic subunit alpha (PIK3CA) gene (1) or other processes promote ECs to express high level of transforming growth factor A (TGFA) (2). TGFA binds to epithelial growth factor receptor (EGFR) on the surface of adjacent SCs (3). Activated EGFR-downstream signaling (4) promotes elevated expression of vascular endothelial growth factor (VEGF)-A in SCs and increases the expression of TGFA (5). VEGF-A secreted from SCs (6) binds to VEGF-recetor-2 (VEGFR2) on surface of ECs (7) and together with TGFA activates angiogenic EC phenotype. TGFA secreted from the SCs (8), can further activate EGFR and its downstream signaling. C_FIG

cell biology↗

Single-cell dissection of live human hearts in ischemic heart disease and heart failure reveals cell-type-specific driver genes and pathways

Ischemic heart disease is globally the leading cause of death. It plays a central role in the electrical and structural remodeling of the right atrium, predisposing to arrhythmias, heart failure, and sudden death. Here, we provide the first dissection of the gene expression changes in the live right atrial tissue, using single-nuclei RNA-seq and spatial transcriptomics. We investigate matched samples of the tissue and pericardial fluid and reveal substantial differences in disease- associated gene expression in all cell types, leading to inflammatory microvascular dysfunction and changes in the tissue composition. Our study demonstrates the importance of creating high- resolution cellular maps and partitioning disease signals beyond epicardial coronary arteries and ischemic left ventricle to identify candidate mechanisms leading to more severe types of human cardiovascular disease. One-Sentence SummarySingle-cell dissection of ex vivo heart biopsies and pericardial fluid in ischemic heart disease and heart failure

molecular biology↗