Whole blood transcriptome analysis of Septic shock and Cardiogenic shock patients over one week of ICU stay
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA543497 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9080520_1.fastq.gz | Fastqsanger.gz | |||
| SRR9080520_2.fastq.gz | Fastqsanger.gz | |||
| SRR9080530_1.fastq.gz | Fastqsanger.gz | |||
| SRR9080530_2.fastq.gz | Fastqsanger.gz | |||
| SRR9080540_1.fastq.gz | Fastqsanger.gz |
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Project description:Circulatory shock affects approximately one-third of all patients in the Intensive Care Unit (ICU) and it is correlated with high mortality. Septic shock (SS) and cardiogenic shock (CS) are two types of circulatory shock, with a different etiology. We aimed to assess in whole blood of CS and SS patients the transcriptomic alterations occurring over one week after ICU admission in order to identify the pathways that are modulated in circulatory shock irrespective of the etiology. We used Gene Set Enrichment Analysis (GSEA) to identify the biological processes and transcriptional regulators significantly enriched in both types of shock.
2020-01-08 | GSE131411 | GEO
Project description:The number of organ failures at intensive care unit (ICU) admission is the main prognostic factor in septic shock. The aim was to assess classical clinico-biological parameters evaluating organ dysfunctions at ICU admission, combined with proteomics analysis, on day-30 mortality in critically ill onco-hematology patients admitted to the ICU for septic shock.
2018-08-22 | PXD004001 | Pride
Project description:This dataset is composed of the unique patients (276; at the Day 1 timepoint) that are present in the six other GEO datasets published by Hector Wong and the Genomics of Pediatric SIRS and Septic Shock Investigators. This dataset thus includes all unique patients from GSE4607, GSE8121, GSE9692, GSE13904, GSE26378, and GSE26440. These are only from the Day 1 timepoint. The original studies examined pediatric patients admitted to the ICU, who were later classified as either SIRS (non-infectious) or Sepsis or Septic Shock (infectious). There is also a group of healthy controls. Although the original studies examine patients at both ICU day 1 and ICU day 3, here we have only aggregated ICU day 1 patients. All samples here were downloaded as .CEL files and re-normalized together using gcRMA using R package 'affy'. The normalized data can be found on the series record and contains the gcRMA normalized expression values.
2015-05-12 | E-GEOD-66099 | biostudies-arrayexpress
Project description:Background: As early and appropriate care of severe septic patients is associated with better outcome, understanding of very first events in the disease process is needed. Pan-genomic analyses offer an interesting opportunity to study global genomic response within the very first hours after sepsis. The objective of this study was to investigate the systemic genomic response in severe Intensive Care Unit (ICU) patients and determine whether patterns of gene expression could be associated with clinical severity evaluated by severity score. Methods: Twenty-eight ICU patients were enrolled at the onset of septic shock. Blood samples were collected within 30 minutes, 24 and 48 hours after shock and genomic response was evaluated using microarrays. The genome wide expression pattern of blood leukocytes was sequentially compared to healthy volunteers and after stratification based on SAPSII score to identify potential mechanisms of dysregulation. Results: Septic shock induces a global reprogramming of the whole leukocyte transcriptome affecting multiple functions and pathways (> 71% of the whole genome was modified). Most altered pathways were not significantly different between SAPSII-high and SAPSII-low groups of patients. However the magnitude and the duration of these alterations were different between these two groups. Importantly, we observed that the more severe patients did not exhibit the strongest modulation. This indicates that some regulation mechanisms leading to recovery seem to take place at early stage. Conclusion: In conclusion, both pro- and anti-inflammatory processes, measured at the transcriptomic level, are induced within the very first hours after septic shock. Interestingly, the more severe patients did not exhibit the strongest modulation. This highlights that, not only the responses mechanisms by themself but mainly their early and appropriate regulation, are crucial for patient recovery. This reinforces the idea that an immediate and tailored aggressive care of patients, aimed at restoring an appropriately regulated immune response, may have a beneficial impact on outcome. Twenty-eight ICU patients were enrolled at the onset of septic shock. Blood samples were collected within 30 minutes, 24 and 48 hours after septic shock and compared to twenty-five healthy volunteers
2014-11-05 | E-GEOD-57065 | biostudies-arrayexpress
Project description:Septic shock is the most severe complication of sepsis, associated with high mortality. The patient’s response to supportive therapy is very heterogeneous and the underlying mechanisms are still elusive. In order to identify which are the actors (genes and pathways) that play a role in establishing the response, we investigate the whole blood transcriptome in septic shock patients with positive and negative responses to early supportive hemodynamic therapy, assessed by changes in SOFA scores within the first 48 hours from ICU admission. We pinpointed genes and pathways that are differently modulated and enriched respectively within 48hrs between responders and non-responders.
2018-12-03 | GSE110487 | GEO
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: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:Proteome analysis of polymorphonuclear cells isolated from patients suffering with septic shock.
2021-10-21 | PXD029219 | JPOST Repository