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1.
Arterioscler Thromb Vasc Biol ; 42(8): 942-956, 2022 08.
Article in English | MEDLINE | ID: mdl-35735018

ABSTRACT

BACKGROUND: Smooth muscle cells (SMCs) in atherosclerotic plaque take on multiple nonclassical phenotypes that may affect plaque stability and, therefore, the likelihood of myocardial infarction or stroke. However, the mechanisms by which these cells affect stability are only beginning to be explored. METHODS: In this study, we investigated the contribution of inflammatory MCP1 (monocyte chemoattractant protein 1) produced by both classical Myh11 (myosin heavy chain 11)+ SMCs and SMCs that have transitioned through an Lgals3 (galectin 3)+ state in atherosclerosis using smooth muscle lineage tracing mice that label all Myh11+ cells and a dual lineage tracing system that targets Lgals3-transitioned SMC only. RESULTS: We show that loss of MCP1 in all Myh11+ smooth muscle results in a paradoxical increase in plaque size and macrophage content, driven by a baseline systemic monocytosis early in atherosclerosis pathogenesis. In contrast, knockout of MCP1 in Lgals3-transitioned SMCs using a complex dual lineage tracing system resulted in lesions with an increased Acta2 (actin alpha 2, smooth muscle)+ fibrous cap and decreased investment of Lgals3-transitioned SMCs, consistent with increased plaque stability. Finally, using flow cytometry and single-cell RNA sequencing, we show that MCP1 produced by Lgals3-transitioned SMCs influences multiple populations of inflammatory cells in late-stage plaques. CONCLUSIONS: MCP1 produced by classical SMCs influences monocyte levels beginning early in disease and was atheroprotective, while MCP1 produced by the Lgals3-transitioned subset of SMCs exacerbated plaque pathogenesis in late-stage disease. Results are the first to determine the function of Lgals3-transitioned inflammatory SMCs in atherosclerosis and highlight the need for caution when considering therapeutic interventions involving MCP1.


Subject(s)
Atherosclerosis , Chemokine CCL2 , Plaque, Atherosclerotic , Animals , Atherosclerosis/pathology , Chemokine CCL2/genetics , Chemokine CCL2/metabolism , Galectin 3/genetics , Galectin 3/metabolism , Mice , Myocytes, Smooth Muscle/metabolism , Plaque, Atherosclerotic/pathology
3.
Arterioscler Thromb Vasc Biol ; 41(1): 284-301, 2021 01.
Article in English | MEDLINE | ID: mdl-33054397

ABSTRACT

OBJECTIVE: Smooth muscle cells and pericytes display remarkable plasticity during injury and disease progression. Here, we tested the hypothesis that perivascular cells give rise to Klf4-dependent macrophage-like cells that augment adipose tissue (AT) inflammation and metabolic dysfunction associated with diet-induced obesity (DIO). Approach and Results: Using Myh11-CreERT2 eYFP (enhanced yellow fluorescent protein) mice and flow cytometry of the stromovascular fraction of epididymal AT, we observed a large fraction of smooth muscle cells and pericytes lineage traced eYFP+ cells expressing macrophage markers. Subsequent single-cell RNA sequencing, however, showed that the majority of these cells had no detectable eYFP transcript. Further exploration revealed that intraperitoneal injection of tamoxifen in peanut oil, used for generating conditional knockout or reporter mice in thousands of previous studies, resulted in large increase in the autofluorescence and false identification of macrophages within epididymal AT as being eYFP+; and unintended proinflammatory consequences. Using newly generated Myh11-DreERT2tdTomato mice given oral tamoxifen, we virtually eliminated the problem with autofluorescence and identified 8 perivascular cell dominated clusters, half of which were altered upon DIO. Given that perivascular cell KLF4 (kruppel-like factor 4) can have beneficial or detrimental effects, we tested its role in obesity-associated AT inflammation. While smooth muscle cells and pericytes-specific Klf4 knockout (smooth muscle cells and pericytes Klf4Δ/Δ) mice were not protected from DIO, they displayed improved glucose tolerance upon DIO, and showed marked decreases in proinflammatory macrophages and increases in LYVE1+ lymphatic endothelial cells in the epididymal AT. CONCLUSIONS: Perivascular cells within the AT microvasculature dynamically respond to DIO and modulate tissue inflammation and metabolism in a KLF4-dependent manner.


Subject(s)
Adipose Tissue/metabolism , Cell Plasticity , Kruppel-Like Transcription Factors/metabolism , Myocytes, Smooth Muscle/metabolism , Obesity/metabolism , Panniculitis/metabolism , Pericytes/metabolism , Adipose Tissue/pathology , Animals , Blood Glucose/metabolism , Cell Lineage , Diet, High-Fat , Disease Models, Animal , Endothelial Cells/metabolism , Endothelial Cells/pathology , Inflammation Mediators/metabolism , Insulin Resistance , Kruppel-Like Factor 4 , Kruppel-Like Transcription Factors/deficiency , Kruppel-Like Transcription Factors/genetics , Macrophages/metabolism , Macrophages/pathology , Male , Mice, Knockout , Myocytes, Smooth Muscle/pathology , Obesity/etiology , Obesity/genetics , Obesity/pathology , Panniculitis/etiology , Panniculitis/genetics , Panniculitis/pathology , Pericytes/pathology
4.
Circulation ; 142(21): 2045-2059, 2020 11 24.
Article in English | MEDLINE | ID: mdl-32674599

ABSTRACT

BACKGROUND: Rupture and erosion of advanced atherosclerotic lesions with a resultant myocardial infarction or stroke are the leading worldwide cause of death. However, we have a limited understanding of the identity, origin, and function of many cells that make up late-stage atherosclerotic lesions, as well as the mechanisms by which they control plaque stability. METHODS: We conducted a comprehensive single-cell RNA sequencing of advanced human carotid endarterectomy samples and compared these with single-cell RNA sequencing from murine microdissected advanced atherosclerotic lesions with smooth muscle cell (SMC) and endothelial lineage tracing to survey all plaque cell types and rigorously determine their origin. We further used chromatin immunoprecipitation sequencing (ChIP-seq), bulk RNA sequencing, and an innovative dual lineage tracing mouse to understand the mechanism by which SMC phenotypic transitions affect lesion pathogenesis. RESULTS: We provide evidence that SMC-specific Klf4- versus Oct4-knockout showed virtually opposite genomic signatures, and their putative target genes play an important role regulating SMC phenotypic changes. Single-cell RNA sequencing revealed remarkable similarity of transcriptomic clusters between mouse and human lesions and extensive plasticity of SMC- and endothelial cell-derived cells including 7 distinct clusters, most negative for traditional markers. In particular, SMC contributed to a Myh11-, Lgals3+ population with a chondrocyte-like gene signature that was markedly reduced with SMC-Klf4 knockout. We observed that SMCs that activate Lgals3 compose up to two thirds of all SMC in lesions. However, initial activation of Lgals3 in these cells does not represent conversion to a terminally differentiated state, but rather represents transition of these cells to a unique stem cell marker gene-positive, extracellular matrix-remodeling, "pioneer" cell phenotype that is the first to invest within lesions and subsequently gives rise to at least 3 other SMC phenotypes within advanced lesions, including Klf4-dependent osteogenic phenotypes likely to contribute to plaque calcification and plaque destabilization. CONCLUSIONS: Taken together, these results provide evidence that SMC-derived cells within advanced mouse and human atherosclerotic lesions exhibit far greater phenotypic plasticity than generally believed, with Klf4 regulating transition to multiple phenotypes including Lgals3+ osteogenic cells likely to be detrimental for late-stage atherosclerosis plaque pathogenesis.


Subject(s)
Atherosclerosis/genetics , Atherosclerosis/pathology , Kruppel-Like Transcription Factors/genetics , Myocytes, Smooth Muscle/pathology , Octamer Transcription Factor-3/genetics , Pluripotent Stem Cells/pathology , Animals , Female , Humans , Kruppel-Like Factor 4 , Male , Mice , Mice, Knockout , Phenotype , Sequence Analysis, RNA/methods
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