ArticleThe Journal of allergy and clinical immunology2025
Network analysis reveals protein modules associated with childhood respiratory diseases.
Article in The Journal of allergy and clinical immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Prevalence of Resistance-Associated Mutations in RSV F Protein Against Monoclonal Antibodies Prior to Widespread Implementation: Findings From a Prospective German Pediatric Cohort.Influenza and other respiratory viruses · 2025Article
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Abstract
backgroundThe first year of life represents a dynamic immune development period that impacts the risk of developing respiratory-related diseases, including asthma, recurrent infections, and eczema. However, the role of immune-mediating proteins in childhood respiratory diseases is not well characterized in early life.
objectiveThe objective of this study was to investigate relationships between protein profiles at age 1 year and respiratory-related diseases by age 6 years, including asthma, recurrent wheeze, respiratory infections, and eczema.
methodsWe applied weighted gene correlation network analysis to derive modules of highly correlated proteins during early life immune development using plasma samples collected from children at age 1 year (n = 294) in the Vitamin D Antenatal Asthma Reduction Trial. Using regression analysis, we evaluated relationships between protein modules at age 1 and respiratory-related diseases by age 6. We integrated protein modules with additional omics and social, demographic, and environmental data for further characterization.
resultsOur analysis identified 4 protein modules at age 1 year associated with incidence of childhood asthma and/or recurrent wheeze (adjusted Ps = .02 to .03), respiratory infections (adjusted Ps = 6.3 × 10
conclusionThese findings suggested that protein profiles at age 1 year predicted development of respiratory-related diseases by age 6. Applying network approaches to study protein profiles may represent a new strategy to identify children susceptible to respiratory-related diseases in the first year of life.
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