GEO DataSets

(Submitter supplied) Background: Systemic inflammation is a whole body reaction that can have an infection-positive (i.e. sepsis) or infection-negative origin. It is important to distinguish between septic and non-septic presentations early and reliably, because this has significant therapeutic implications for critically ill patients. We hypothesized that a molecular classifier based on a small number of RNAs expressed in peripheral blood could be discovered that would: 1) determine which patients with systemic inflammation had sepsis; 2) be robust across independent patient cohorts; 3) be insensitive to disease severity; and 4) provide diagnostic utility. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

105 Samples

Download data: CEL

(Submitter supplied) To identify serum miRNAs for the diagnosis of HCC, the profiling of 754 human miRNAs was analyzed in sera from six histopathologically confirmed HCC patients and eight CHB controls, using TaqMan Array Human MicroRNA A+B Cards Set v3.0 (Applied Biosystems, Foster City, CA). Serum miRNAs with differential levels between HCC and CHB were identified by comparing serum miRNA profiling of HCC patients with that of CHB controls.

Organism:

Homo sapiens

Type:

Other

Platform:

GPL16850

14 Samples

Download data: TXT

(Submitter supplied) The host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13667

802 Samples

Download data: CEL

(Submitter supplied) Introduction: Sepsis is a complex immunological response to infection characterized by early hyperinflammation followed by severe and protracted immunosuppression, suggesting that a multi-marker approach has the greatest clinical utility for early detection, within a clinical environment focused on SIRS differentiation. Pre-clinical research using an equine sepsis model identified a panel of gene expression biomarkers that define the early aberrant immune activation. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

41 Samples

Download data: CEL, CHP

(Submitter supplied) Early diagnosis of sepsis and discrimination from SIRS is crucial for clinicians to provide appropriate care, management and treatment to critically ill patients. Here, we describe identification of transcriptional mRNA biomarkers able to identify severe systemic inflammation and differentiate Sepsis from SIRS, in adult patients within a multi-center clinical study. All patients were recruited in Intensive Care Units (ICUs) from multiple UK hospitals including 59 patients with abdominal sepsis, 84 patients with pulmonary sepsis, 42 SIRS patients with Out-of-Hospital Cardiac Arrest (OOHCA), at four time points including 30 healthy control donors. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17077

447 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

359 Samples

Download data

(Submitter supplied) Here we developed a new approach to sepsis diagnosis that integrates host transcriptional profiling with metagenomic broad-range pathogen detection from cell-free plasma RNA and DNA.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

138 Samples

Download data: CSV

(Submitter supplied) Here we developed a new approach to sepsis diagnosis that integrates host transcriptional profiling with metagenomic broad-range pathogen detection from cell-free plasma RNA and DNA.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

221 Samples

Download data: CSV

(Submitter supplied) The study was aimed to identify mechanisms linked to complicated courses after severe trauma by a systems biology approach. In severe trauma, overwhelming systemic inflammation can result in adverse events and the development of complications, including sepsis. In a prospective study, RNA samples from circulating leukocytes from patients with multiple injury (injury severity score ≥ 17) were analyzed for dynamic changes in gene expression over a period of 21 days by whole genome screening. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

90 Samples

Download data: TXT

(Submitter supplied) Nowadays, there are different ICU scoring systems to predict the likelihood of mortality, such as Acute Physiology And Chronic Health Condition (APACHE), Sequential Organ Failure Assessment (SOFA), and SAPS (Simplified Acute Physiology Score). Theses risk scores are based on the use of physiologic and other clinical data. However, the use of these score systems depend on the clinical trust in the reliability and predictions by physicians. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13497

117 Samples

Download data: TXT

(Submitter supplied) The Acute Respiratory Distress Syndrome (ARDS)/Acute Lung Injury (ALI) was described 30 years ago, yet the interaction between specific sets of genes involved in this syndrome remains incompletely understood. Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

34 Samples

Download data: CEL

(Submitter supplied) Identifying at first clinical presentation gene expression signatures that predict subsequent severity will allow clinicians to identify the most at risk groups of patients, and also enable appropriate antibiotic use. Accordingly, we characterized the blood immune profiles of patients with early/pre-sepsis to identify signatures reflecting disease severity, organ dysfunction, mortality, and specific endotypes/mechanisms.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

392 Samples

Download data: CSV

(Submitter supplied) Transcriptional profiling of human skin biopsies to determine differential gene expression between normal tissue from an unaffected limb and lymphedema tissue from an affected limb.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

27 Samples

Download data: TXT

(Submitter supplied) Accuracy of sepsis prediction was obtained using cross-validation of gene expression data from 12 human spleen samples and from 16 mouse spleen samples. For blood studies, classifiers were constructed using data from a training data set of 26 microarrays. The error rate of the classifiers was estimated on seven de-identified microarrays, and then on a subsequent cross-validation for all 33 blood microarrays. more...

Organism:

Mus musculus; Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL81 GPL80

61 Samples

Download data: CEL

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

Organism:

Homo sapiens; synthetic construct

Type:

Expression profiling by array

Platforms:

GPL17586 GPL21572

901 Samples

Download data: CEL

(Submitter supplied) Genome-wide gene expression profiling of whole blood leukocytes in critically ill patients with sepsis or non-infectious disease has been used extensively in search of diagnostic biomarkers, as well as prognostic signatures reflecting diseases severity and outcome. Through technological advances in genomics it has become clear that transcription is not limited to protein-coding regions of the genome. more...

Organism:

Homo sapiens; synthetic construct

Type:

Expression profiling by array

Platform:

GPL21572

567 Samples

Download data: CEL

(Submitter supplied) Genome-wide gene expression profiling of whole blood leukocytes during experimental human endotoxemia has been used extensively to model acute systemic host responses. Through technological advances in genomics it has become clear that transcription is not limited to protein-coding regions of the genome. Here, we describe a comprehensive analysis of RNA expression of blood leukocytes in healthy volunteers during experimental human endotoxemia.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

36 Samples

Download data: CEL

(Submitter supplied) Genome-wide gene expression profiling of whole blood leukocytes in critically ill patients with sepsis or non-infectious disease has been used extensively in search of diagnostic biomarkers, as well as prognostic signatures reflecting diseases severity and outcome. Through technological advances in genomics it has become clear that transcription is not limited to protein-coding regions of the genome. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

298 Samples

Download data: CEL

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL10558 GPL6947

717 Samples

Download data

(Submitter supplied) Alzheimer case-control samples originate from the EU funded AddNeuroMed Cohort, which is a large cross-European AD biomarker study relying on human blood as the source of RNA.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

388 Samples

Download data: TXT