Early-life wheeze trajectories are associated with distinct asthma transcriptomes later in life

生命早期喘息轨迹与成年后不同的哮喘转录组相关

阅读:2

Abstract

BACKGROUND: Early childhood wheeze is characterized by heterogeneous trajectories having differential associations with later-life asthma development. OBJECTIVE: We sought to determine how early-life wheeze trajectories impact later life asthma gene expression. METHODS: The Children's Respiratory Environmental Workgroup is a collective of 12 birth cohorts, 7 of which conducted an additional visit with a nasal lavage collected and subjected to bulk RNA-sequencing. Early-life wheeze trajectories were defined using latent class analysis of longitudinal early-life wheezing data. Weighted gene correlation network analysis was used to associate gene expression patterns and current asthma with early-life wheeze trajectories. RESULTS: We investigated 743 children (mean age, 17 ± 5.1 years; 360 [48.5%] male). Four patterns of early-life wheeze were identified: infrequent, transient, late-onset, and persistent. Early-life transient wheeze was associated with gene expression patterns related to increased antiviral response, and late-onset wheeze was associated with decreased insulin signaling and glucose metabolism. Early-life persistent wheeze was associated with gene expression modules of type 2 inflammation and epithelial development, but these modules did not distinguish those with current asthma. Children who had persistent wheeze in early life and current asthma displayed a unique increase in expression of genes enriched for neuronal processes and ciliated epithelial function compared with those without asthma. CONCLUSIONS: Early-life longitudinal wheeze trajectories are associated with specific asthma transcriptomes later in life. These data suggest that early-life asthma prevention strategies may be most beneficial when tailored to the specific wheeze pattern.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。