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Characterizing the urinary proteome of prematurity-associated lung disease in school-aged children
INTRODUCTION: Although different phenotypes of lung disease after preterm birth have recently been described, the underlying mechanisms associated with each phenotype are poorly understood. We, therefore, compared the urinary proteome for different spirometry phenotypes in preterm-born children with...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357627/ https://www.ncbi.nlm.nih.gov/pubmed/37474963 http://dx.doi.org/10.1186/s12931-023-02494-3 |
Sumario: | INTRODUCTION: Although different phenotypes of lung disease after preterm birth have recently been described, the underlying mechanisms associated with each phenotype are poorly understood. We, therefore, compared the urinary proteome for different spirometry phenotypes in preterm-born children with preterm- and term-born controls. METHODS: Preterm and term-born children aged 7–12 years, from the Respiratory Health Outcomes in Neonates (RHiNO) cohort, underwent spirometry and urine collection. Urine was analysed by Nano-LC Mass-Spectrometry with Tandem-Mass Tag labelling. The preterm-born children were classified into phenotypes of prematurity-associated preserved ratio impaired spirometry (pPRISm, FEV(1) < lower limit of normal (LLN), FEV(1)/FVC ≥ LLN), prematurity-associated obstructive lung disease (POLD, FEV(1) < LLN, FEV(1)/FVC < LLN) and preterm controls (FEV(1) ≥ LLN,). Biological relationships between significantly altered protein abundances were analysed using Ingenuity Pathways Analysis software, and receiver operator characteristic curves were calculated. RESULTS: Urine was analysed from 160 preterm-born children and 44 term controls. 27 and 21 were classified into the pPRISm and POLD groups, respectively. A total of 785 proteins were detected. Compared to preterm-born controls, sixteen significantly altered proteins in the pPRISm group were linked to six biological processes related to upregulation of inflammation and T-cell biology. In contrast, four significantly altered proteins in the POLD group were linked with neutrophil accumulation. Four proteins (DNASE1, PGLYRP1, B2M, SERPINA3) in combination had an area under the curve of 0.73 for pPRISm and three combined proteins (S100A8, MMP9 and CTSC) had AUC of 0.76 for POLD. CONCLUSIONS: In this exploratory study, we demonstrate differential associations of the urinary proteome with pPRISm and POLD. TRIAL REGISTRATION: EudraCT: 2015-003712-20 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02494-3. |
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