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The cytosolic DNA sensor cGAS recognizes Neutrophil Extracellular Traps

ABSTRACT: Neutrophil Extracellular Traps (NETs) are structures consisting of chromatin and antimicrobial molecules that are released by neutrophils during a form of regulated cell death called NETosis. NETs trap invading pathogens, promote coagulation and activate myeloid cells to produce Type I interferons (type I IFN), proinflammatory cytokines that regulate the immune system. The mechanism of NET recognition by myeloid cells is not yet clearly identified. Here we show that macrophages and other myeloid cells phagocytose NETs. Once in phagosomes, NETs translocate to the cytosol, where they activate the DNA sensor cyclic GMP-AMP synthase (cGAS) and induce type I IFN expression. cGAS recognizes the DNA backbone of NETs. Interestingly, the NET associated serine protease Neutrophil Elastase (NE) mediates the activation of the pathway. We confirmed that NETs activate cGAS in vivo. Thus, our findings identify cGAS as a major sensor of NETs, mediating the immune activation during infection and in auto-immune diseases.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Christian Frese

LAB HEAD: Christian K. Frese

PROVIDER: PXD015579 | Pride | 2021-02-18

REPOSITORIES: Pride

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Neutrophils from patients with recurring Panton-Valentine Leukocidin-positive Staphylococcus aureus infections are more sensitive to PVL induced NETosis

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2023-11-23 | PXD025702 | Pride

RNA externalized by neutrophil extracellular traps promotes inflammatory pathways in endothelial cells

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Epithelial HMGB1 delays skin wound healing and drives tumor initiation by priming neutrophils for NET formation

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Human lupus netting neutrophils induce endothelial damage, infiltrate tissues and expose immunostimulatory molecules

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2011-06-22 | E-GEOD-26975 | biostudies-arrayexpress

Neutrophil extracellular traps induce glomerular endothelial cell dysfunction and pyroptosis in diabetic kidney disease

Project description:Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease. Neutrophil extracellular traps (NETs) are a network structure composed of loose chromatin and embedded with multiple proteins. Here, we observed increased NETs deposition in the glomeruli of DKD patients and diabetic mice (streptozotocin-induced or db/db mice). After degrading NETs with DNase I, diabetic mice exhibited attenuated glomerulopathy and glomerular endothelial cell (GEC) injury. We also observed alleviated glomerulopathy and GEC injury in peptidylarginine deiminase 4 (PAD4)-knockout mice with streptozotocin-induced diabetes. In vitro, NET-induced GEC pyroptosis was characterized by pore formation in the cell membrane, dysregulation of multiple genes involved in cell membrane function, and high expression of pyroptosis-related proteins. Strengthening the GEC surface charge by oleylamine significantly inhibited NET-induced GEC pyroptosis. These results indicate that NET-induced alterations in GEC charge are associated with GEC pyroptosis in the pathogenesis of DKD and suggest that NETs are a potential therapeutic target for DKD.

2022-09-01 | GSE189875 | GEO

Neutrophil Extracellular Traps (NETs) promote macrophage inflammation and impair atherosclerosis resolution in mice with diabetes

Project description:Neutrophil extracellular traps (NETs) promote inflammation and atherosclerosis progression. In diabetes they are increased and impair wound healing, during which inflammation normally resolves. Atherosclerosis regression, a process resembling wound healing, is also impaired in diabetes. Thus, we hypothesized that NETs impede atherosclerosis regression in diabetes through unresolved inflammation. Objective: To investigate in diabetes the effect of NETs on plaque macrophage inflammation and whether NETs reduction improves atherosclerosis regression. Findings: Transcriptomic profiling of plaque macrophages from NET positive and negative areas in Ldlr-/- mice revealed inflammasome and glycolysis pathway upregulation, indicating a pro-inflammatory phenotype. During atherosclerosis regression in non-diabetic mice, plaque NET content decreased. In contrast, in diabetic mouse plaques NETs were enriched and persisted after lipid-lowering. DNase1 treatment (to degrade NETs) of diabetic mice reduced plaque NETs and macrophage inflammation and improved atherosclerosis regression after lipid-lowering. Conclusions: NETs decline during atherosclerosis regression in non-diabetic mice, but persist in diabetes and impair regression by exacerbating macrophage inflammation. DNase1 reduced diabetic plaque NETs and macrophage inflammation, and restored atherosclerosis resolution after lipid-lowering, despite ongoing hyperglycemia. Given that humans with diabetes also exhibit impaired atherosclerosis resolution with lipid-lowering, these data suggest that NETs contribute to the increased CVD risk in this population.

2020-05-12 | GSE145200 | GEO

MicroRNA expression profiling of small-intestine neuroendocrine tumors and human neuroendocrine tumor cell lines

Project description:Small intestinal neuroendocrine tumors (SI-NETs) arise from serotonin-producing enterochromaffin cells. SI-NETs are often well-differentiated tumors and most patients have regional or distant metastases at initial presentation. MicroRNAs (miRs) are post-transcriptional regulators which are important in diverse biological processes and can function as tumor suppressor genes or oncogenes. This study aims to identify an exclusive SI-NETs miR profile that may have a critical role in development, diagnosis, prognosis and progression of these malignancies. Five human NET cell lines, one octreotide-treated CNDT2.5 cells, one microdissected normal enterochromaffin cells, three snap-frozen normal ileum specimens and 15 SI-NET specimens at different stage of malignancy, five primary tumors, five mesentery metastases and five liver metastases, were included in this study. Total RNA was hybridized onto Affymetrix GeneChipM-BM-. miR arrays for genome-wide profiling. Array data summarization, normalization, and quality control were performed using miRNA QC Tool software.

2013-03-01 | E-GEOD-33568 | biostudies-arrayexpress

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