仿形(计算机编程)
喘息
计算生物学
哮喘
组学
医学
生物
生物信息学
计算机科学
免疫学
操作系统
作者
Matthew Macowan,Céline Pattaroni,Katie Bonner,Roxanne Chatzis,Carmel Daunt,Mindy Gore,Adnan Čustović,M. D. Shields,Ultan F. Power,Jonathan Grigg,Graham Roberts,Peter Ghazal,Jürgen Schwarze,Steve Turner,Andrew Bush,Sejal Saglani,Clare M. Lloyd,Benjamin J. Marsland
标识
DOI:10.1016/j.jaci.2024.08.017
摘要
BackgroundWheezing in childhood is prevalent, with over one-half of all children experiencing at least 1 episode by age 6. The pathophysiology of wheeze, especially why some children develop asthma while others do not, remains unclear.ObjectivesThis study addresses the knowledge gap by investigating the transition from preschool wheeze to asthma using multiomic profiling.MethodsUnsupervised, group-agnostic integrative multiomic factor analysis was performed using host/bacterial (meta)transcriptomic and bacterial shotgun metagenomic datasets from bronchial brush samples paired with metabolomic/lipidomic data from bronchoalveolar lavage samples acquired from children 1-17 years old.ResultsTwo multiomic factors were identified: one characterizing preschool-aged recurrent wheeze and another capturing an inferred trajectory from health to wheeze and school-aged asthma. Recurrent wheeze was driven by type 1-immune signatures, coupled with upregulation of immune-related and neutrophil-associated lipids and metabolites. Comparatively, progression toward asthma from ages 1 to 18 was dominated by changes related to airway epithelial cell gene expression, type 2-immune responses, and constituents of the airway microbiome, such as increased Haemophilus influenzae.ConclusionsThese factors highlighted distinctions between an inflammation-related phenotype in preschool wheeze, and the predominance of airway epithelial-related changes linked with the inferred trajectory toward asthma. These findings provide insights into the differential mechanisms driving the progression from wheeze to asthma and may inform targeted therapeutic strategies.
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