Expression analysis of inflammatory cytokines in exhaled breath condensates from pediatric patients with sickle cell disease, asthma, sickle cell disease and asthma, and controls
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE150056 | GEO | 2020/05/08
REPOSITORIES: GEO
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Project description:Expression analysis of inflammatory cytokines in exhaled breath condensates from pediatric patients with sickle cell disease, asthma, sickle cell disease and asthma, and controls
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Project description:The establishment and public sharing of comprehensive proteome maps of human tissues and biofluids are essential to improve biomedical knowledge and to support biomarker discovery studies. In this study, we performed an in-depth proteomics characterization of the exhaled breath condensate (EBC), a non-invasive sample obtained from the condensation of the airway lining fluid. Two pooled samples of EBC, each combined from 10 healthy donors, were lyophilized and their protein content analyzed by high-resolution tandem mass spectrometry-based proteomics. Two “technical” negative control samples were processed in parallel with the pooled samples to correct for exogenous protein contamination and avoid erroneous identifications.
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Project description:BACKGROUND: Evaluation of the airway transcriptome may reveal patterns of gene expression that are associated with clinical phenotypes of asthma. To define transcriptomic endotypes of asthma (TEA) we analyzed gene expression in induced sputum that correlate with phenotypes of disease. METHODS: Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes in pathways selected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) identified TEA clusters. Clinical characteristics were compared and logistic regression analysis of matched blood samples defined an expression profile to determine the TEA cluster assignment in a cohort of children with asthma for validation. RESULTS: Three TEA clusters were identified. TEA cluster 1 had the most subjects with a history of intubation (P = 0.05), a lower pre-bronchodilator FEV1 (P = 0.006), a higher bronchodilator response (P = 0.03), and higher exhaled nitric oxide levels (P = 0.04), compared to the other TEA clusters. TEA cluster 2, the smallest cluster had the most subjects that were hospitalized for asthma (P = 0.04). Subjects in TEA cluster 3, the largest cluster, had normal lung function, low exhaled nitric oxide levels, and lower inhaled steroid requirements. Evaluation of TEA clusters in children confirmed that TEA clusters 1 and 2 are associated with a history of intubation (P = 5.58 x 10-06) and hospitalization (P = 0.01), respectively. CONCLUSIONS: Patterns of gene expression in the sputum and blood reveal TEA clusters that are associated with severe asthma phenotypes in children and adults. Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes in pathways selected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) identified TEA clusters. Clinical characteristics were compared and logistic regression analysis of matched blood samples defined an expression profile to determine the TEA cluster assignment in a cohort of children with asthma for validation.
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Project description:Polymorphonuclear neutrophils are key actors in the pathophysiology of sickle cell disease, but specific factors underlying their activation and sustained inflammation are not well documented. In the present study, we investigated the proteome of neutrophils by a label-free global comparative approach between 4 non-treated sickle patients (SS genotype) at steady state and 4 healthy donors. We identified 101 proteins differentially expressed in SS and normal neutrophils. We found overexpression of CD64 and under-expression of CD62L suggestive of an activated and aged neutrophil profile in SS patients. Comparison of the two proteomes revealed a strong involvement of the type 1 interferon (IFN) response pathway with a 3- to 84-fold increase of type 1 IFN-induced proteins in SS neutrophils, and overexpression of STAT1 and STAT2. Thus, we next determined the plasmatic concentration of type 1 IFNs (IFNα and IFNβ) using the digital-ELISA technology and found a significant higher concentration of IFNα in the plasma from half of our SS patients compared to controls. Overall, a dramatic high-level expression of IFNα signaling proteins in neutrophils from SS patients suggests auto-inflammatory-like phenotype in sickle cell disease at steady state. This finding could open the way to new anti-inflammatory therapies.
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