Epigenetic silencing of interleukin-10 by host-derived oxidized phospholipids supports a lethal inflammatory response to infections supports a lethal inflammatory response to infections
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ABSTRACT:
PROVIDER: PRJNA1264981 | ENA |
REPOSITORIES: ENA
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Project description:Epigenetic silencing of interleukin-10 by host-derived oxidized phospholipids supports a lethal inflammatory response to infections supports a lethal inflammatory response to infections
| PRJNA1264985 | ENA
Project description:Phagocytes initiate immunity to invading microorganisms by detecting pathogen-associated molecular patterns via pattern recognition receptors. Pathogen encounter and consequent activation of the immune system cause tissue damage and release of host-derived damage-associated molecular patterns, contributing to shape immunity. How self-derived factors are sensed by phagocytes and impact the immune response remains poorly understood. Here we demonstrate that, in mice and humans, host-derived oxidized phospholipids (oxPLs) are formed after microbial encounter. We show that oxPLs exacerbate inflammation without affecting pathogen burden. Mechanistically, oxPLs bind and inhibit AKT, potentiating the methionine cycle and the activity of the epigenetic writer enhancer of zeste homolog 2 (EZH2). EZH2 epigenetically dampens the pluripotent anti-inflammatory cytokine interleukin-10, contributing to death of the host. Overall, we found that host-derived oxPLs set the balance between protective and detrimental anti-microbial responses and that they can be prophylactically or therapeutically targeted to protect the host against deranged inflammation and immunopathology.
2025-08-06 | GSE297479 | GEO
Project description:Phagocytes initiate immunity to invading microorganisms by detecting pathogen-associated molecular patterns via pattern recognition receptors. Pathogen encounter and consequent activation of the immune system cause tissue damage and release of host-derived damage-associated molecular patterns, contributing to shape immunity. How self-derived factors are sensed by phagocytes and impact the immune response remains poorly understood. Here we demonstrate that, in mice and humans, host-derived oxidized phospholipids (oxPLs) are formed after microbial encounter. We show that oxPLs exacerbate inflammation without affecting pathogen burden. Mechanistically, oxPLs bind and inhibit AKT, potentiating the methionine cycle and the activity of the epigenetic writer enhancer of zeste homolog 2 (EZH2). EZH2 epigenetically dampens the pluripotent anti-inflammatory cytokine interleukin-10, contributing to death of the host. Overall, we found that host-derived oxPLs set the balance between protective and detrimental anti-microbial responses and that they can be prophylactically or therapeutically targeted to protect the host against deranged inflammation and immunopathology.
2025-08-06 | GSE297481 | GEO
Project description:Identification of biological processes that distinguish lethal from non-lethal influenza infection and further use of these signatures in a top-down systems analysis investigating the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity to during lethal influenza infection. For acutely lethal influenza infections, the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity remain unresolved. Here, we take a top-down systems approach to this question. Multigene transcriptional signatures from infected lungs suggested that elevated activation of inflammatory signaling networks distinguished lethal from sublethal infections. Flow cytometry and gene expression analysis involving isolated cell subpopulations from infected lungs showed that neutrophil influx largely accounted for the predictive transcriptional signature. Automated imaging analysis together with these gene expression and flow data identified a chemokine-driven feed-forward circuit involving pro-inflammatory neutrophils potently driven by poorly contained lethal viruses. Consistent with these data, attenuation but not ablation of the neutrophil-driven response increased survival without changing viral spread. These findings establish the primacy of damaging innate inflammation in at least some forms of influenza-induced lethality and provide a roadmap for the systematic dissection of infection-associated pathology.
2013-07-03 | GSE42638 | GEO
Project description:Transcriptomic comparison of 5 cell types during lethal and non-lethal influenza infection and further use of these signatures in a top-down systems analysis investigating the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity during lethal influenza infection. For acutely lethal influenza infections, the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity remain unresolved. Here, we take a top-down systems approach to this question. Multigene transcriptional signatures from infected lungs suggested that elevated activation of inflammatory signaling networks distinguished lethal from sublethal infections. Flow cytometry and gene expression analysis involving isolated cell subpopulations from infected lungs showed that neutrophil influx largely accounted for the predictive transcriptional signature. Automated imaging analysis together with these gene expression and flow data identified a chemokine-driven feed-forward circuit involving pro-inflammatory neutrophils potently driven by poorly contained lethal viruses. Consistent with these data, attenuation but not ablation of the neutrophil-driven response increased survival without changing viral spread. These findings establish the primacy of damaging innate inflammation in at least some forms of influenza-induced lethality and provide a roadmap for the systematic dissection of infection-associated pathology.
2013-07-03 | GSE42639 | GEO
Project description:Transcriptomic comparison of 5 cell types during lethal and non-lethal influenza infection and further use of these signatures in a top-down systems analysis investigating the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity during lethal influenza infection. For acutely lethal influenza infections, the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity remain unresolved. Here, we take a top-down systems approach to this question. Multigene transcriptional signatures from infected lungs suggested that elevated activation of inflammatory signaling networks distinguished lethal from sublethal infections. Flow cytometry and gene expression analysis involving isolated cell subpopulations from infected lungs showed that neutrophil influx largely accounted for the predictive transcriptional signature. Automated imaging analysis together with these gene expression and flow data identified a chemokine-driven feed-forward circuit involving pro-inflammatory neutrophils potently driven by poorly contained lethal viruses. Consistent with these data, attenuation but not ablation of the neutrophil-driven response increased survival without changing viral spread. These findings establish the primacy of damaging innate inflammation in at least some forms of influenza-induced lethality and provide a roadmap for the systematic dissection of infection-associated pathology. Multiple mice were either sham infected, infected with the seasonal H1N1 influenza A virus TX91 (10^6PFU), or infected with various sublethal or lethal doses of the mouse pathogenic H1N1 strain PR8. Lung tissues were collected at 48h or 72h post infection. 5 different cell types were purified by flow sorting from lungs of individual animals and then processed to yield total RNA that was used for microarray analysis. The dataset contains 75 microarrays covering 25 experimental conditions with 3 biological replicates. This dataset is linked to a dataset containing 138 microarrays of whole lungs covering 20 experimental conditions.
2013-07-03 | E-GEOD-42639 | biostudies-arrayexpress
Project description:Identification of biological processes that distinguish lethal from non-lethal influenza infection and further use of these signatures in a top-down systems analysis investigating the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity to during lethal influenza infection. For acutely lethal influenza infections, the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity remain unresolved. Here, we take a top-down systems approach to this question. Multigene transcriptional signatures from infected lungs suggested that elevated activation of inflammatory signaling networks distinguished lethal from sublethal infections. Flow cytometry and gene expression analysis involving isolated cell subpopulations from infected lungs showed that neutrophil influx largely accounted for the predictive transcriptional signature. Automated imaging analysis together with these gene expression and flow data identified a chemokine-driven feed-forward circuit involving pro-inflammatory neutrophils potently driven by poorly contained lethal viruses. Consistent with these data, attenuation but not ablation of the neutrophil-driven response increased survival without changing viral spread. These findings establish the primacy of damaging innate inflammation in at least some forms of influenza-induced lethality and provide a roadmap for the systematic dissection of infection-associated pathology. Multiple mice were either sham infected, infected with the seasonal H1N1 influenza A virus TX91 (10^6PFU), or infected with various sublethal or lethal doses of the mouse pathogenic H1N1 strain PR8. Lung tissues were collected at various time points (24h, 48h, 72h and 240h post infection) and processed to yield whole lung RNA that was used for microarray analysis. The dataset contains 138 microarrays covering 20 experimental conditions with 7 biological replicates each. As an exception, the alternative non-infectious control condition (Alum treatment) contains 5 biological replicates. This dataset is linked to a dataset comparing the transcriptomes of 5 different cell types isolated from individual lungs of influenza A-infected or control animals (contains 75 microarrays covering 25 experimental conditions).
2013-07-03 | E-GEOD-42638 | biostudies-arrayexpress
Project description:Chronic Pseudomonas aeruginosa infections evades antibiotic therapy and are associated with mortality in cystic fibrosis (CF) patients. We find that in vitro resistance evolution of P.aeruginosa towards clinically relevant antibiotics leads to phenotypic convergence towards distinct states. These states are associated with collateral sensitivity towards several antibiotic classes and encoded by mutations in antibiotic resistance genes, including transcriptional regulator nfxB. Longitudinal analysis of isolates from CF patients reveals similar and defined phenotypic states, which are associated with extinction of specific sub-lineages in patients. In depth investigation of chronic P.aeruginosa populations in a CF patient during antibiotic therapy revealed dramatic genotypic and phenotypic convergence. Notably, fluoroquinolone-resistant subpopulations harboring nfxB mutations were eradicated by antibiotic therapy as predicted by our in vitro data. This study supports the hypothesis that antibiotic treatment of chronic infections can be optimized by targeting phenotypic states associated with specific mutations to improve treatment success in chronic infections.
2018-10-23 | PXD007972 | Pride
Project description:IFN-mediated negative feedback supports bacteria class-specific macrophage inflammatory responses
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Project description:We reported 4 single-sample cases and 3 control-sample cases of inflammatory cardiomyopathy using deep RNA-seq for detection of pathogenic agents. We identified various bacterial infections, analyzed genetic variants in patients and their differential gene expression caused by these infections in control-sample cases.
2023-04-10 | GSE152261 | GEO