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SRP071965
Homo sapiens
330 Downloadable Samples
Illumina HiSeq 2000
Description
Identification of blood biomarkers that prospectively predict progression of Mycobacterium tuberculosis infection to tuberculosis disease might lead to interventions that combat the tuberculosis epidemic. We aimed to assess whether global gene expression measured in whole blood of healthy people allowed identification of prospective signatures of risk of active tuberculosis disease. RESULTS:Between July 6, 2005, and April 23, 2007, we enrolled 6363 from the ACS study and 4466 from independent South African and Gambian cohorts. 46 progressors and 107 matched controls were identified in the ACS cohort. A 16 gene signature of risk was identified. The signature predicted tuberculosis progression with a sensitivity of 66·1% (95% CI 63·2–68·9) and a specificity of 80·6% (79·2–82·0) in the 12 months preceding tuberculosis diagnosis. The risk signature was validated in an untouched group of adolescents (p=0·018 for RNA sequencing and p=0·0095 for qRT-PCR) and in the independent South African and Gambian cohorts (p values <0·0001 by qRT-PCR) with a sensitivity of 53·7% (42·6–64·3) and a specificity of 82·8% (76·7–86) in 12 months preceding tuberculosis. Interpretation: The whole blood tuberculosis risk signature prospectively identified people at risk of developing active tuberculosis, opening the possibility for targeted intervention to prevent the disease. Overall design: In this prospective cohort study, we followed up healthy, South African adolescents aged 12–18 years from the adolescent cohort study (ACS) who were infected with M tuberculosis for 2 years. We collected blood samples from study participants every 6 months and monitored the adolescents for progression to tuberculosis disease. A prospective signature of risk was derived from whole blood RNA sequencing data by comparing participants who developed active tuberculosis disease (progressors) with those who remained healthy (matched controls). After adaptation to multiplex qRT-PCR, the signature was used to predict tuberculosis disease in untouched adolescent samples and in samples from independent cohorts of South African and Gambian adult progressors and controls. Participants of the independent cohorts were household contacts of adults with active pulmonary tuberculosis disease.
Publication Title
A blood RNA signature for tuberculosis disease risk: a prospective cohort study.
Sample Metadata Fields
Sex, Age, Specimen part, Race, Subject
View Samples- Homo sapiens
- 275 Downloadable Samples
Affymetrix Human Gene 2.1 ST Array (hugene21st)
Description
This SuperSeries is composed of the SubSeries listed below. A subset of samples profiled in this analysis were also profiled in Series GSE68127, and GSE104066. Corresponding glomerular transcriptome data can be found under GEO ID: GSE108109.
Publication Title
Metabolic pathways and immunometabolism in rare kidney diseases.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 196 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
summary : Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47183 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).
Publication Title
Metabolic pathways and immunometabolism in rare kidney diseases.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 194 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
summary : Tubulointerstitial transcriptome from ERCB subjects with chronic kidney disease and living donor biopsies. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47184 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).
Publication Title
Metabolic pathways and immunometabolism in rare kidney diseases.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 169 Downloadable Samples
- Affymetrix Human Gene 2.1 ST Array (hugene21st)
Description
Tubulointerstitial transcriptome from human kidney biopsies in Neptune and ERCB. A number of samples profiled in this analysis were also profiled in Series GSE68127.
Publication Title
Metabolic pathways and immunometabolism in rare kidney diseases.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 106 Downloadable Samples
- Affymetrix Human Gene 2.1 ST Array (hugene21st)
Description
Glomerular transcriptome from human kidney biopsies in Neptune and ERCB. A subset of samples profiled in this analysis were also profiled in Series GSE68127, and in GSE104066. Corresponding tubulointerstitial transcriptome data is submitted under GEO ID: GSE108113.
Publication Title
Metabolic pathways and immunometabolism in rare kidney diseases.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 228 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Blocking the action of the pro-inflammatory cytokine interleukin-1 (IL-1) reduces beta-cell secretory dysfunction and apoptosis in vitro, diabetes incidence in animal models of Type 1 diabetes mellitus (T1D), and glycaemia via improved beta-cell function in patients with T2D. We hypothesised that anakinra, a recombinant human IL-1 receptor antagonist, improves beta-cell function in patients with new-onset T1D. Methods: In an individually randomised, two-group parallel trial involving 14 European tertiary referral centers, 69 patients aged 18-35 with T1D, < 12 weeks of symptoms, and standard mixed meal test (MMT) stimulated C-peptide 200 pM were enrolled between January, 2009 and July, 2011 and assigned by centralised computer-generated blocked randomisation with locked computer-file concealment to treatment with 100 mg anakinra (n=35) subcutaneously once daily or placebo (n=34) for 9 months as add-on to conventional therapy. Participants and care-givers, but not data monitoring unit, were masked to group assignment. The primary end-point was change in the two-hour area-under-the-curve C-peptide response to MMT, and secondary end-points changes in insulin requirements, glycaemia, and inflammatory markers at one, three, six, and nine months. Findings: The study was prematurely terminated due to slow accrual and is closed to follow-up. No interim analysis was performed. Ten patients withdrew in the anakinra and eight in the placebo arm, leaving 25 and 26 patients to be analysed, respectively. There was no statistical difference in adverse event category reporting between arms. Interpretation: Anakinra-treatment in T1D was safe, but the trial failed to meet primary and secondary outcome measures.
Publication Title
Interleukin-1 antagonism moderates the inflammatory state associated with Type 1 diabetes during clinical trials conducted at disease onset.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 187 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Blocking the action of the pro-inflammatory cytokine interleukin-1 (IL-1) reduces beta-cell secretory dysfunction and apoptosis in vitro, diabetes incidence in animal models of Type 1 diabetes mellitus (T1D), and glycaemia via improved beta-cell function in patients with T2D. We hypothesised that canakinumab, a monoclonal antibody to IL-1B, improves beta-cell function in patients with new-onset T1D. Methods: In an individually randomised, two-group parallel trial involving 12 sites in US, 69 patients aged 6-45 with T1D, < 12 weeks of symptoms, and assigned by centralised computer-generated blocked randomisation with locked computer-file concealment to treatment with 2 mg/kg (maximum 300 mg) canakinumab (n=45) or placebo (n=22) monthly for 12 months as add-on to conventional therapy. Participants and care-givers, but not data monitoring unit, were masked to group assignment. The primary end-point was change in the two-hour area-under-the-curve C-peptide response to MMT 12 months.
Publication Title
Interleukin-1 antagonism moderates the inflammatory state associated with Type 1 diabetes during clinical trials conducted at disease onset.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 96 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The cure rate for childhood ALL has improved considerably in part because therapy is routinely tailored to the predicted risk of relapse. Various clinical and laboratory variables are used in current risk-stratification schemes, but many children who fail therapy lack adverse prognostic factors at initial diagnosis. Using gene expression analysis, we have identified genes and pathways in a NCI high-risk childhood B-precursor ALL cohort at diagnosis that may play a role in early blast regression as correlated with the Day 7 marrow status. We have also identified a 47-probeset signature (representing 41 unique genes) that was predictive of long term outcome in our dataset as well as three large independent datasets of childhood ALL treated on different protocols.
Publication Title
Gene expression signatures predictive of early response and outcome in high-risk childhood acute lymphoblastic leukemia: A Children's Oncology Group Study [corrected].
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 14 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Phenotypic and genomic analysis of multiple myeloma minimal residual disease tumor cells: a new model to understand chemoresistance.
Sample Metadata Fields
Specimen part, Disease
View Samples