Septic shock patients: outcome at D1 (24 hours after inclusion)
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE5262 | GEO | 2006/08/01
SECONDARY ACCESSION(S): PRJNA96367
REPOSITORIES: GEO
Similar Datasets
Project description:Microarray was performed on PBMC with an inflammatory dedicated slide of 340 genes, and target samples labelled with Cy3 for day 0 (reference) and with Cy5 for the other days. Changes in expression levels were evaluated by the ratio Dx/D0. According to outcome and time evolution, a two-dimensional clustering was performed. The day of inclusion corresponded to the first blood sampling (15 ml) quoted day 0. The following blood samples were performed at days 1, 7, and 28. Since the pre-sepsis expression of the genes as a control cannot be obtained, the day 0 sample was used patient per patient as a reference value for the next days samples for micro-array study. Patients outcome (dead or alive of evolution) was considered, as the time evolution when the patients survived.
2010-07-01 | E-GEOD-5262 | biostudies-arrayexpress
Project description:Microarray was performed on PBMC with an inflammatory dedicated slide of 340 genes, and target samples labelled with Cy3 for day 0 (reference) and with Cy5 for the other days. Changes in expression levels were evaluated by the ratio Dx/D0. According to time evolution, a two-dimensional clustering was performed. Keywords: time evolution of sepsis in patients at D1, D7 and D28 post-inclusion
2006-08-01 | GSE5271 | GEO
Project description:Microarray was performed on PBMC with an inflammatory dedicated slide of 340 genes, and target samples labelled with Cy3 for day 0 (reference) and with Cy5 for the other days. Changes in expression levels were evaluated by the ratio Dx/D0. According to time evolution, a two-dimensional clustering was performed. The day of inclusion corresponded to the first blood sampling (15 ml) quoted day 0. The following blood samples were performed at days 1, 7, and 28. Since the pre-sepsis expression of the genes as a control cannot be obtained, the day 0 sample was used patient per patient as a reference value for the next days samples for micro-array study. Patients evolution was considered.
2010-07-01 | E-GEOD-5271 | biostudies-arrayexpress
Project description:Nowadays, there is no gold standard of sepsis diagnosis, thus there is a challenge to differentiate between shock septic and non-septic shock following a surgery, since patients with both conditions show similar signs and symptoms. In this sense, to get a quick and accurate diagnosis of septic shock is required to allow an immediate and specific treatment for this condition. In this work, we have evaluated the expression profile by microarray analysis from post-surgical septic shock and non-septic shock patients with the aim of proposing a candidate set genes as gold standard to help in distinguishing both conditions.
2020-08-16 | GSE131761 | GEO
Project description:Goal of the experiment: To identify correlated genes, pathways and groups of patients with systemic inflammatory response syndrome and septic shock that is indicative of biologically important processes active in these patients. Background: We measured gene expression levels and profiles of children with systemic inflammatory response syndrome (SIRS) and septic shock as a means for discovering patient sub-groups and gene signatures that are active in disease-affected individuals and potentially in patients with poor outcomes. Methods: Microarray and bioinformatics analyses of 123 microarray chips representing whole blood derived RNA from controls, children with SIRS, and children with septic shock. Results: A discovery-based filtering approach was undertaken to identify genes whose expression levels were altered in patients with SIRS or septic shock. Clustering of these genes identified 3 Major and several minor sub-groups of patients with SIRS or septic shock. The three groups differed with respect to incidence of septic shock and trended toward differences in mortality. Statistical analyses demonstrated that 6,435 gene probes were differentially regulated between the three patient sub-groups (false discovery rate < 0.001%). Of these gene probes, 623 gene probes within 7 major gene ontologies accounted for the majority of group differentiation. Network analyses of these 623 gene probes demonstrated 5 major gene networks that were differentially expressed between the 3 groups. Statistical comparison of septic shock survivors and non-survivors identified one major gene network that was under expressed in a high fraction of the non-survivors and identified potential biomarkers for poor outcome. Conclusions: This is the first genome-level demonstration of pediatric patient sub-groups with SIRS and septic shock. The sub-groups differ clinically and differentially express 5 major gene networks. We have identified gene signatures and potential biomarkers associated with poor outcome in children with septic shock. These data represent a major advancement in our genome-level understanding of pediatric SIRS and septic shock. Keywords: Septic shock, SIRS, pediatrics, outcome, infection, inflammation
2006-04-30 | GSE4607 | GEO
Project description:In an ongoing translational research program involving microarray-based expression profiles in pediatric septic shock, we have now conducted longitudinal studies focused on the temporal expression profiles of canonical signaling pathways and gene networks. Genome-level expression profiles were generated from whole blood-derived RNA samples of children with septic shock (n = 30 individual patients) corresponding to days 1 and 3 of admission to the pediatric intensive care unit. Based on sequential statistical and expression filters, day 1 and day 3 of septic shock were characterized by differential regulation of 2,142 and 2,504 gene probes, respectively, relative to normal control patients. Venn analysis demonstrated 239 unique genes in the day 1 data set, 598 unique genes in the day 3 data set, and 1,906 genes common to both data sets. Analyses targeted toward derivation of biological function from these data sets demonstrated time-dependent, differential regulation of genes involved in multiple canonical signaling pathways and gene networks primarily related to immunity and inflammation. Notably, multiple and distinct gene networks involving T cell- and MHC antigen-related biological processes were persistently downregulated from day 1 to day 3. Further analyses demonstrated large scale and persistent downregulation of genes corresponding to functional annotations related to zinc homeostasis. These data represent the largest reported cohort of patients with septic shock, which has undergone longitudinal genome-level expression profiling. The data further advance our genome-level understanding of pediatric septic shock and support novel hypotheses that can be readily tested at both the experimental and translational levels. Keywords: Inflammation; sepsis; innate immunity; T cells; MHC antigen Keywords: to be updated
2007-06-14 | GSE8121 | GEO
Project description:TLRs are considered important for innate immune responses that combat bacterial infections. Here, the role of TLRs in severe septic peritonitis using the colon ascendens stent peritonitis (CASP) model was examined. We demonstrate that mice deficient for MyD88 and TRIF had markedly reduced bacterial numbers both in peritoneal cavity and peripheral blood, indicating that bacterial clearance in this model is inhibited by TLR signals. Moreover, survival of Myd88-/-;TrifLps2/Lps2 mice was significantly improved. The lack of TLR signals prevented the excessive induction of inflammatory cytokines and of IL 10. Notably, the expression of IFN-gamma, which has an essential protective role in septic peritonitis, and of IFN-regulated genes including several p47 and p65 GTPases as well as IP 10 was independent of TLR signaling. These results provide evidence that, in severe septic peritonitis, TLR deficiency balances the innate immune response in a favorable manner by attenuating deleterious responses such as excessive cytokine release, while leaving intact protective IFN-gamma production. In this dataset, expression data of genes induced by septic peritonitis in spleens from TLR-deficient and wildtype mice are included. 3 groups (septic TLR-deficient mice, septic wildtype mice, and untreated wildtype mice) with 4 replicates each.
2011-06-27 | E-GEOD-24327 | biostudies-arrayexpress
Project description:Septic shock by pneumopathy was studied in prospective way in 20 patients and compared to normal blood. Blood samples were taken within 12 hours of diagnosis and the resulting transcritomes were compared to 42 normal control samples (selected samples from series GSE10715, GSE12711, GSE16728 and GSE7400). keywords: patient cohort study, septic shock, transcription-profile, blood
2017-09-08 | GSE33118 | GEO
Project description:This is a prospective observational case-control study conducted in septic VLBW dizygotic twins and their non-septic twin controls. Fecal samples were used for genome-wide expression analysis of exfoliated intestinal cells.
2017-07-05 | E-MTAB-3439 | biostudies-arrayexpress
Project description:Gene expression patterns in septic and non-septic shock postsurgical patients
| PRJNA544706 | ENA