About 40% IBD patients treated with anti-TNF antibodies do not respond to therapy. Baseline biomarkers of response are therefore of interest. By combining computational deconvolution of gene expression and meta-analysis approaches we identified cellular biomarkers in tissue (validated in 2 cohorts by IHC of biopsies), and investigated associated gene biomarkers in blood. This dataset provides data from the validation cohort III (blood).
Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD.
Disease, Disease stage, Treatment, Subject, Time
View SamplesThis 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.
Metabolic pathways and immunometabolism in rare kidney diseases.
Specimen part
View Samplessummary : 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).
Metabolic pathways and immunometabolism in rare kidney diseases.
Specimen part, Disease
View Samplessummary : 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).
Metabolic pathways and immunometabolism in rare kidney diseases.
Specimen part, Disease
View SamplesTubulointerstitial transcriptome from human kidney biopsies in Neptune and ERCB. A number of samples profiled in this analysis were also profiled in Series GSE68127.
Metabolic pathways and immunometabolism in rare kidney diseases.
Specimen part
View SamplesGlomerular 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.
Metabolic pathways and immunometabolism in rare kidney diseases.
Specimen part
View SamplesThe use of microbiological cultures for diagnosing bacterial infections in young febrile infants have substantial limitations, including false positive and false negative cultures, and non-ideal turn-around times. Analysis of host genomic expression patterns (RNA biosignatures) in response to the presence of specific pathogens, however, may provide an alternate and potentially improved diagnostic approach. This study was designed to define bacterial and non-bacterial RNA biosignatures to distinguish these infections in young febrile infants.
Association of RNA Biosignatures With Bacterial Infections in Febrile Infants Aged 60 Days or Younger.
Sex, Age, Specimen part, Race
View SamplesBackground: Although several studies link high levels of IL-6 and soluble IL-6 receptor (sIL-6R) with asthma severity and decreased lung function, the role of IL-6 trans-signaling (IL-6TS) in asthma is unclear. Objective: To explore the association between epithelial IL-6TS pathway activation and molecular and clinical phenotypes in asthma. Methods: Primary human bronchial epithelial cell (HBEC) air-liquid interface (ALI) cultures were stimulated with IL-6 and sIL-6R to establish an IL-6TS gene signature. Two separate RNA sequencing (RNA-seq) studies were performed: The “IL-6 vs T2 study” compared gene expression after stimulation with control medium, IL-6, IL-6/sIL-6R and IL-4/IL-13, while the “JAK1-inhibition study” addressed the effect of JAK1 inhibition on IL-6TS induced gene expression. The IL-6TS gene signature was used to stratify lung epithelial transcriptomic data obtained from asthmatics (n=103) in the U-BIOPRED cohorts by hierarchical clustering. Molecular phenotyping was based on the transcriptional profiling of epithelial brushings, pathway analysis and immunohistochemistry analysis of bronchial biopsies. Results: Activation of IL-6TS in HBEC ALI cultures reduced epithelial barrier function and induced a specific epithelial gene signature enriched in airway remodeling genes. The IL-6TS signature identified a subset (n=17) of IL-6TS High asthma patients with increased epithelial expression of IL-6TS inducible genes in absence of increased systemic levels of IL-6 and sIL-6R. The IL-6TS High subset had an increased exacerbation frequency (p=0.028), blood (>300/µl; p=0.0028) and sputum (>20%; p=0.007) eosinophilia, and submucosal infiltration of CD4 T cells, CD8 T cells (p<0.001) and macrophages (p=0.001). In bronchial brushings, TLR pathway genes were up-regulated while the expression of epithelial tight junction genes was reduced (all with q<0.05). Sputum sIL-6R levels correlated with sputum markers of remodeling and innate immune activation, in particular YKL-40, MMP3, IL-8 and IL-1ß (all with q<0.001). Conclusions: Local lung epithelial IL-6TS activation in absence of type 2 airway inflammation defines a novel subset of asthmatics and may drive airway inflammation and epithelial dysfunction in these patients. Overall design: Primary human bronchial epithelial cells grown and differentiated on air-liquid interface were stimulated basolaterally for 24h with cytokines corresponding to IL-6TS (IL-6 + sIL-6R), IL-6 alone, a Type 2 immune response (IL-4 + IL-13) or media alone as non-stimulated control. Each stimulation condition was done in triplicates. Cells were lysed, the RNA isolated and converted into libraries then used for next generation sequencing in order to identify genes that were up- or downregulated in response to the different stimulations.
Epithelial IL-6 trans-signaling defines a new asthma phenotype with increased airway inflammation.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Integrative epigenome-wide analysis demonstrates that DNA methylation may mediate genetic risk in inflammatory bowel disease.
Sex, Age, Specimen part, Subject
View SamplesEpigenetic alterations may provide important insights into gene-environment interaction in inflammatory bowel disease (IBD). Here we observe epigenome-wide DNA methylation differences in 240 newly-diagnosed IBD cases and 190 controls. These include 439 differentially methylated positions (DMPs) and 5 differentially methylated regions (DMRs), which we study in detail using whole genome bisulphite sequencing. We replicate the top DMP (RPS6KA2) and DMRs (VMP1, ITGB2, TXK) in an independent cohort.
Integrative epigenome-wide analysis demonstrates that DNA methylation may mediate genetic risk in inflammatory bowel disease.
Sex, Age, Specimen part
View Samples