Using RNA-Seq to investigate immune-metabolism features in immunocompromised patients with sepsis
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE182522 | GEO | 2021/08/23
REPOSITORIES: GEO
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Project description:Using RNA-Seq to investigate immune-metabolism features in immunocompromised patients with sepsis
| PRJNA756565 | ENA
Project description:Sepsis is a life-threatening condition caused by a dysregulated host response to infection.Although our understanding in the pathophysiological features of sepsis has increased significantly during the past decades, there is still lack of mechanism of sepis.Neutrophils are important regulators against invading pathogens, and their role during sepsis has been studied extensively. However, whether neutrophils could inhibit the immune response of CD8+T cells and the mechanism is unkown in sepsis.
2022-07-06 | GSE186054 | GEO
Project description:Clinical sepsis is a highly dynamic state that progresses at variable rates and has life-threatening consequences. Staging patients along the sepsis timeline requires a thorough knowledge of the evolution of cellular and molecular events at the tissue level. Here, we investigated the kidney, an organ central to the pathophysiology of sepsis. Single cell RNA sequencing and spatial transcriptomics revealed the involvement of various cell populations in injury and repair to be temporally organized and highly orchestrated. We identified key changes in gene expression that altered cellular functions and can explain features of clinical sepsis. These changes converged towards a remarkable global cell-cell communication failure and organ shutdown at a well-defined point in the sepsis timeline. Importantly, this time point was also a transition towards the emergence of recovery pathways. This rigorous spatial and temporal definition of murine sepsis will uncover precise biomarkers and targets that can help stage and treat human sepsis.
2020-07-10 | GSE154107 | GEO
Project description:Objective: It is unclear whether the host response of gram-positive sepsis differs from gram-negative sepsis at a transcriptome level. Using microarray technology, we compared the gene-expression profiles of gram-positive sepsis and gram-negative sepsis in critically ill patients. Design: A prospective cross-sectional study. Setting: A 20-bed general intensive care unit of a tertiary referral hospital. Patients: Seventy-two patients admitted to the intensive care unit. Interventions: Intravenous blood was collected for leukocyte separation and RNA extraction. Microarray experiements were then performed examing the expression level of 19,232 genes in each sample. Measurements and Main Results: There was no difference in the expression profile between gram-positive and gram-negative sepsis. The finding remained unchanged even when genes with lower expression level were included or after statistical stringency was lowered. There were, however, ninety-four genes differentially expressed between sepsis and control patients. These genes included those involved in immune regulation, inflammation and mitochondrial function. Hierarchical cluster analysis confirmed that the difference in gene expression profile existed between sepsis and control patients, but not between gram-positive and gram-negative patients. Conclusion: Gram-positive and gram-negative sepsis share a common host response at a transcriptome level. These findings support the hypothesis that the septic response is non-specific and is designed to provide a more general response that can be elicited by a wide range of different micro-organisms. The study included seventy-two critically ill patients admitted to the intensive care unit (ICU) of Nepean Hospital, Sydney, Australia. Of these, fifty-five patients were diagnosed to have sepsis, as confirmed by microbiological culture. The remaining seventeen patients did not have sepsis and were therefore used as controls. The study was approved by the hospital ethics committee and informed consent was obtained from all patients or their relatives. Patient Samples. Whole blood was taken from each patient on admission to ICU. Neutrophils were separated from whole blood using density-gradient separation with Ficoll-PaqueP P(Amersham). Subsequent neutrophil RNA extraction was performed using guanidinium thiocyanate (Ambion). Microarray Experiment. The neutrophil RNA was converted to cDNA, fluorescently labeled and hybridized to its complimentary sequences on the microarray (Invitrogen). The fluorescent signals on each micrroarray were captured using the GenePix 4000B laser scanner (Axon Instruments). Expression level of each gene was represented by the intensity of its fluorescent signal. Data Extraction. All signal intensity values were processed using background-subtraction method. Prior to analysis, all values were log-transformed and normalized by fitting a print-tip group Lowess curve. Normalization minimizes bias due to dye chemistry, signal intensity or location of a gene on the array. It ensures the detection of genes that are truly differentially expressed, instead of those caused by experimental artifacts or variation in the hybridization process. After normalization, genes that had more than 50% of data missing were removed. We then selected genes that had at least 80% of the data showing two-fold changes from the geneâs median values. After filtering, 1617 genes were available for further analysis.
2010-05-25 | E-GEOD-6535 | biostudies-arrayexpress
Project description:Objective: It is unclear whether the host response of gram-positive sepsis differs from gram-negative sepsis at a transcriptome level. Using microarray technology, we compared the gene-expression profiles of gram-positive sepsis and gram-negative sepsis in critically ill patients. Design: A prospective cross-sectional study. Setting: A 20-bed general intensive care unit of a tertiary referral hospital. Patients: Seventy-two patients admitted to the intensive care unit. Interventions: Intravenous blood was collected for leukocyte separation and RNA extraction. Microarray experiements were then performed examing the expression level of 19,232 genes in each sample. Measurements and Main Results: There was no difference in the expression profile between gram-positive and gram-negative sepsis. The finding remained unchanged even when genes with lower expression level were included or after statistical stringency was lowered. There were, however, ninety-four genes differentially expressed between sepsis and control patients. These genes included those involved in immune regulation, inflammation and mitochondrial function. Hierarchical cluster analysis confirmed that the difference in gene expression profile existed between sepsis and control patients, but not between gram-positive and gram-negative patients. Conclusion: Gram-positive and gram-negative sepsis share a common host response at a transcriptome level. These findings support the hypothesis that the septic response is non-specific and is designed to provide a more general response that can be elicited by a wide range of different micro-organisms. Keywords: disease state analysis, gram-positive sepsis, gram-negative sepsis
2007-12-01 | GSE6535 | GEO
Project description:Sepsis is a life-threatening organ dysfunction resulting from a dysregulated host response to infection. This is best studied in humans and various mouse models, however finding sof these models to not always translate easy to the clinic. In order to improve this transfer, and because sepsis also plays a significant role in vetrenairy medicine, we use the pig as a model organism in sepsis research. We compare two modes of porcine sepsis iduction: fecal infusion and LPS infusion and also compare thse o wha we can find in mice
2023-12-31 | GSE250039 | GEO
Project description:Clinical study of critically ill patients with sepsis and sepsis-related ARDS with whole blood RNA collected within the first 24 hours of admission Goal of the study was to determine whether biologically relevant genes were identified to be differentially expressed genes in patients with sepsis alone and sepsis with ARDS Prospective observational study, case cohort design
2015-04-01 | E-GEOD-66890 | biostudies-arrayexpress
Project description:The peripheral whole-blood transcriptome analysis has been used to the identification of biomarkers in different clinical syndromes. The ability to simultaneously measure the gene expression levels of the whole transcriptome is providing a broader view of clinical syndromes such as sepsis. The aim of this study was to assess the gene expression profiles of post-surgical patients with septic shock compared with patients without sepsis.
2014-03-15 | E-MTAB-1548 | biostudies-arrayexpress
Project description:Sepsis is a life-threatening condition with high hospital mortality. Elevated mortality has also been observed in patients after hospital discharge, associated with post sepsis syndrome (PSS), causing systemic impairments and reduced life quality. The etiology of PSS is still not completely known but certainly involves inflammation. Extracellular vesicles (EV) are recognized as a notable mechanism of intercellular communication in inflammatory processes. It has been reported that EV microRNA (miRNA) production patterns during the acute phase of the disease may persist until after sepsis resolution and are associated with PSS. Methods: We employed mass spectrometry and qPCR to characterize the protein and miRNA composition of plasma-derived EVs of 35 patients during sepsis-related hospitalization and after discharge (post-sepsis) for up to three years. Findings: Fifteen differentially expressed EVs miRNAs (DEMiRs) were identified in septic patients compared to the control group. Predictive analyses revealed that these DEMiRs could influence inflammation by modulating pathways mediated by the activation of NF-κB, STAT3, and TLR4. Thirteen miRNAs (-15b-5p, -16-5p, -20a-5p, -25-3p, -27a-3p, -29a-3p, -30d-5p, -93-5p, -146a-5p, -148a -3p, -191-5p, -195-5p, -223-3p) were downregulated in the death group compared to the survivor group and are candidates for serving as prognostic markers of survival in the Intensive Care Unit. The expression of 11 miRNAs (-15b-5p, -16-5p, -21-5p, -25-3p, -27a-3p, -29a-3p, -30d-5p, -93-5p, -146a-5p -195- 5p and -223-3p) was lower one year after ICU discharge than the control group. Interpretation: The miRNAs identified in the present study represent potential biomarkers for the survival prognosis of post-sepsis patients.
2022-08-03 | GSE210335 | GEO
Project description:To investigate the differentially expressed genes in the plasma of pneumonia-induced sepsis patients compared to pneumonia patients without sepsis and healthy people, we performed gene expression profiling analysis using data obtained from RNA-seq.
2022-11-30 | GSE218494 | GEO