Dataset Information

Plasma Biomarkers of Postinfectious Bronchiolitis Obliterans and Asthma in Children

ABSTRACT: Asthma and postinfectious bronchiolitis obliterans (PIBO) are chronic lung diseases characterized by recurrent episodes of wheezing. Mycoplasma, adenovirus, and respiratory syncytial virus infections can trigger both asthma and PIBO. These two diseases have common etiologic mechanisms that cause airway epithelial injury. They are often difficult to differentiate clinically in preschool children because both are exacerbated by viral infections and respond similarly to steroids and β2 agonists. PIBO, which is occasionally observed in children, is diagnosed through characteristic findings of air trapping on computed tomography or in biopsy samples of lung tissue. However, researchers have not clearly identified the specific blood markers that can distinguish these diseases or the differences in the mechanisms of development. We performed proteomic analysis of plasma to identify specific biomarkers that can be helpful in differentiating asthma from PIBO. This study discovered plasma biomarker candidates by measuring plasma proteome sequential window acquisition of all theoretical mass spectra (SWATH-MS) and included 30 healthy children, 18 with asthma and 15 with PIBO. was used to measure proteins in plasma samples. We identified and quantified 354 proteins across all 63 samples in the SWATH-MS analysis.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Bronchiolitis Obliterans,Asthma

SUBMITTER: Kyunggon Kim

LAB HEAD: Kyunggon Kim

PROVIDER: PXD034996 | Pride | 2022-12-01

REPOSITORIES: Pride

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Publications

TGFβ1 and POSTN as biomarkers of postinfectious bronchiolitis obliterans and asthma in children.

Kang Mi-Jin MJ Ahn Hee-Sung HS Lee So-Yeon SY Yeom Jeonghun J Kim Kyunggon K Hong Soo-Jong SJ

Pediatric pulmonology 20221004 12

<h4>Rationale</h4>Asthma and postinfectious bronchiolitis obliterans (PIBO) are common chronic lung diseases in company with wheezing in children. However, it is not clear what is common and unique mechanisms between the two diseases. Thus, we used proteomic analysis to compare differences in biomarkers between children with asthma and PIBO.<h4>Methods</h4>Overall, 30 healthy children without respiratory underlying diseases, 18 children with asthma and 15 with PIBO were included for this study. ...[more]

PMID: 36175004

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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.

Dataset Information

Plasma Biomarkers of Postinfectious Bronchiolitis Obliterans and Asthma in Children

Publications

TGFβ1 and POSTN as biomarkers of postinfectious bronchiolitis obliterans and asthma in children.

Similar Datasets

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