GEO DataSets

Analysis of whole blood from children (up to 10 years old) within 24hrs of PICU admission for septic shock. Sepsis therapies useful in adults and older children may have little effect in immunologically immature younger patients. Results provide insight into age-specific host response to sepsis.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 4 development stage, 2 disease state, 2 other sets

Platform:

GPL570

Series:

GSE26378

103 Samples

Download data: CEL

(Submitter supplied) Background: Septic shock is a heterogeneous syndrome within which probably exist several biological subclasses. Discovery and identification of septic shock subclasses could provide the foundation for the design of more specifically targeted therapies. Herein we tested the hypothesis that pediatric septic shock subclasses can be discovered through genome-wide expression profiling. Methods: Genome-wide expression profiling was conducted using whole blood-derived RNA from 98 children with septic shock, followed by a series of bioinformatic approaches targeted at subclass discovery and characterization. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4274

Platform:

GPL570

130 Samples

Download data: CEL

(Submitter supplied) Background: Septic shock heterogeneity has important implications for the conduct of clinical trials and individual patient management. We previously addressed this heterogeneity by indentifying 3 putative subclasses of children with septic shock based on a 100-gene expression signature corresponding to adaptive immunity and glucocorticoid receptor signaling. Herein we attempted to prospectively validate the existence of these gene expression-based subclasses in a validation cohort. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4273

Platform:

GPL570

103 Samples

Download data: CEL

Analysis of whole blood from children (up to 10 years old) within 24hrs of PICU admission for septic shock. Heterogeneous clinical phenotypes stratify the septic shock patients. Results provide insight into the molecular mechanisms underlying these septic shock subgroups.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 4 development stage, 2 disease state, 4 other sets

Platform:

GPL570

Series:

GSE26440

130 Samples

Download data: CEL

(Submitter supplied) Normal children, children with SIRS, children with sepsis, and children with septic shock. Objectives: To advance our biological understanding of pediatric septic shock, we measured the genome-level expression profiles of critically ill children representing the systemic inflammatory response syndrome (SIRS), sepsis, and septic shock spectrum. Keywords: Normal vs diseased

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

227 Samples

Download data: CEL, PDF

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

123 Samples

Download data: CEL, PDF

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

75 Samples

Download data: CEL, PDF

(Submitter supplied) Rationale: We previously generated genome-wide expression data in children with septic shock, based on whole blood-derive RNA, having the potential to lead the field into novel areas of investigation. Objective: Herein we seek to validate our data through a bioinformatic approach centered on a validation patient cohort. Methods: Microarray- and bioinformatics-centered analyses involving our previous data as a training data set (n = 42) and a new, validation cohort (n = 30) as the test data set. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

45 Samples

Download data: CEL

(Submitter supplied) 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.

Organism:

Homo sapiens

Type:

Expression profiling by array; Third-party reanalysis

Platform:

GPL570

276 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL22462

345 Samples

Download data: CEL

(Submitter supplied) Background: Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. To date, no biomarker has shown sufficient evidence and ease of application in clinical routine to monitor the complexity of the sepsis-related immune alterations. Multiple levels of interaction of human endogenous retroviruses (HERVs) with the immune response led us to hypothesize that they may be relevant candidates both to contribute to the physiopathology of sepsis and to be part of a molecular signature. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL22462

301 Samples

Download data: CEL

(Submitter supplied) Background: Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. To date, no biomarker has shown sufficient evidence and ease of application in clinical routine to monitor the complexity of the sepsis-related immune alterations. Multiple levels of interaction of human endogenous retroviruses (HERVs) with the immune response led us to hypothesize that they may be relevant candidates both to contribute to the physiopathology of sepsis and to be part of a molecular signature. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL22462

44 Samples

Download data: CEL

(Submitter supplied) Sepsis patients experience a complex interplay of host pro- and anti-inflammatory processes which can compromise outcome. Even taking the latest clinical and scientific research data into account, the immunosuppressive events occurring during a septic episode are incompletely understood. Moreover, there is a lack of data on the way epigenetics can modulate immunosuppression, which in turn affects patient survival. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL21145

12 Samples

Download data: IDAT

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL10999 GPL16791

62 Samples

Download data: XLSX

(Submitter supplied) Transcriptional profiling of granulocytes from 24 subjects was used to investigate their differences regarding sepsis and aging.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL16699

24 Samples

Download data: TXT

(Submitter supplied) Despite decades of research, sepsis remains one of the most urgent unmet medical needs. Clinical trials in sepsis have mainly focused on targeting the inflammatory pathway, however, recent data indicate that sepsis should also be seen as a metabolic disease. Targeting metabolic dysregulations that take place in sepsis might uncover novel therapeutic opportunities to treat human sepsis patients. The role of PPARα in liver dysfunction during sepsis has recently been described, and restoring PPARα signaling proves to be successful in murine sepsis. more...

Organism:

Sus scrofa

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26351

12 Samples

Download data: TXT

(Submitter supplied) Around 42,000 children suffer from severe sepsis each year in the US alone, resulting in significant morbidity, mortality and billion dollar expenditures in the US healthcare system. Sepsis recognition is a clinical challenge in children. Biomarkers are needed to tailor appropriate antimicrobial therapies and improve risk stratification. The goal of this study was to determine if gene expression profiles from peripheral blood were associated with pathogen type and sepsis severity in children treated for suspected sepsis.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL16686

134 Samples

Download data: CEL

(Submitter supplied) Gene expression changes in the blood was studied by RNAseq Results: Strong differences between patients groups, specific expression changes for heathy control (Hlty), uncomplicated infection (Inf1_P), sepsis (Seps_P), septic shock (Shock_P), follow-up of sepsis (Seps_FU), follow-up of septic shock (Shock_FU) groups.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

105 Samples

Download data: TXT