Airway transcriptome networks for ozone and PM_2.5 exposure reveal distinct key drivers for children with asthma.

ABSTRACT:

Background

Air pollution disproportionately affects individuals with asthma, triggering asthma exacerbations and morbidity. We hypothesized that children with and without asthma have distinct airway transcriptome networks associated with ozone and particulate matter ≤ 2.5 µm (PM_2.5) exposure.

Methods

We recruited children from the New York metropolitan area, mapped their air pollutant exposures, and collected nasal and bronchial samples for transcriptome and cellular profiling. We used causal network construction and key driver analyses to build airway transcriptome networks for ozone and PM_2.5 exposure.

Results

The cohort included 307 children, including 167 (54.4%) with asthma and 140 (45.6%) without asthma. The mean age was 13.4 years (SD 4.4 

SUBMITTER: Chun Y 

PROVIDER: S-EPMC12723882 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature