Asthma is a heterogeneous disease requiring understandings at molecular level that characterizes subgroups of patients with specific biomarkers to faciliate the development of targeted thearpies.
T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED.
Sex, Age
View SamplesSevere asthma is a collection of disease entities with varying pathophysiological characteristics (7) that result in symptoms of cough, wheeze and breathlessness, with frequent exacerbations. To address the problem of phenotypic difference and heterogeneity, the Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) project was set up as a public-private partnership within the framework of the Innovative Medicines Initiative (IMI), engaging academia, the pharmaceutical industry and patient groups. The goal of this investigation was to identify transcript fingerprints in whole blood that characterize patients with severe asthma and to determine whether subgroups of severe asthmatics can be identified. Furthermore, we were interested in elucidating the biological pathways that showed differences between subgroups.
A Severe Asthma Disease Signature from Gene Expression Profiling of Peripheral Blood from U-BIOPRED Cohorts.
Sex, Specimen part, Race
View SamplesBackground: 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.
Interleukin-1 antagonism moderates the inflammatory state associated with Type 1 diabetes during clinical trials conducted at disease onset.
Subject, Time
View SamplesBackground: 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.
Interleukin-1 antagonism moderates the inflammatory state associated with Type 1 diabetes during clinical trials conducted at disease onset.
Subject, Time
View SamplesWe previously derived and validated a bronchial epithelial gene expression biomarker to detect lung cancer in current and former smokers. Given that bronchial and nasal epithelium gene expression is similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in more readily accessible nasal epithelium. Nasal epithelial brushings were prospectively collected from current and former smokers with pulmonary lesions suspicious for lung cancer in the AEGIS-1 (n=375) and AEGIS-2 (n=130) clinical trials and gene expression profiled using microarrays. Using the 375 AEGIS 1 samples, we identified 535 genes that were differentially expressed in the nasal epithelium of patients who were ultimately diagnosed with lung cancer vs. those with benign disease after one year of follow-up (p<0.001). Using bronchial gene expression data from 299 AEGIS-1 patients (including 157 patients with matched nasal and bronchial expression data), we found significantly concordant cancer-associated gene expression differences between the two airway sites (p<0.001). Differentially expressed genes were enriched for genes associated with the regulation of apoptosis, mitotic cell cycle, and immune system signaling. A nasal lung cancer classifier derived in the AEGIS-1 cohort that combined clinical factors and nasal gene expression had significantly higher AUC (0.80) and sensitivity (0.94) over a clinical-factor only model (p<0.05) in independent samples from the AEGIS-2 cohort (n=130). These results suggest that the airway epithelial field of lung cancer-associated injury in current and former smokers extends to the nose and demonstrates the potential of using nasal gene expression as a non-invasive biomarker for the detection of lung cancer.
Shared Gene Expression Alterations in Nasal and Bronchial Epithelium for Lung Cancer Detection.
Sex, Age
View SamplesThe 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.
Gene expression signatures predictive of early response and outcome in high-risk childhood acute lymphoblastic leukemia: A Children's Oncology Group Study [corrected].
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View SamplesSoybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines.
Multiple phytohormone signals control the transcriptional response to soybean aphid infestation in susceptible and resistant soybean plants.
Specimen part
View SamplesSiponimod selectively enriched regulatory T and B lymphocytes in active secondary progressive multiple sclerosis patients: 20 SPMS baseline including 3 repeats, 19 treated with 5 placebo and 14 siponimod treated.
Siponimod enriches regulatory T and B lymphocytes in secondary progressive multiple sclerosis.
Sex, Age, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Standard of hygiene and immune adaptation in newborn infants.
Sex
View SamplesThe prevalence of immune-mediated diseases such as allergies and autoimmune diseases is on the rise in the developed world. Microbial exposure is known to modulate the risk for these diseases. In order to explore differences in the gene expression patterns induced in utero in infants born in contrasting standards of living and hygiene, we collected umbilical cord blood RNA samples from full-term newborn infants born with normal vaginal delivery in Finland (modern society), Estonia (rapidly developing society) and the Republic of Karelia, Russia (poor economical conditions). Transcriptomic profiles were analyzed using whole genome microarrays including gender, gestational age, birth month and HLA allele genotype as confounding variables in the analysis. The data revealed that the whole blood transcriptome of Finnish and Estonian neonates differ from their Karelian counterparts. Samples from Karelian infants had an increase in transcripts associated with LPS induction and bacterial sepsis observed in 1-year-old infants in earlier studies. The results suggest exposure to toll like receptor (TLR) ligands and a more matured immune response in infants born in Petrozavodsk compared to the Finnish and Estonian infants. These results further support the concept of a conspicuous plasticity in the developing immune system: the environmental factors that play a role in the susceptibility/protection towards immune-mediated diseases begin to shape the neonatal immunity already in utero and direct the maturation of both the adaptive and the innate immune responses in accordance with the surrounding microbial milieu.
Standard of hygiene and immune adaptation in newborn infants.
Sex
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