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Transcriptomic profiling of pediatric asthma by diseases state and severity
Jihoon Kim1, Jelte Kelchtermans1,2,3, Frank Mentch1
1The Center of Applied Genomics, The Children's Hospital of Philadelphia, 3615 Civic Center Blvd, Philadelphia, PA, 19104, USA.
Insights
Researchers identified novel genes linked to pediatric asthma, revealing insights into the disease
Area of Science:
- Genomics
- Immunology
- Pediatrics
Background:
- Pediatric asthma is common but its molecular underpinnings are not fully understood.
- Disease complexity and heterogeneity contribute to knowledge gaps.
Purpose of the Study:
- To investigate gene expression changes associated with pediatric asthma.
- To identify novel molecular candidates contributing to asthma pathogenesis and severity.
Main Methods:
- Bulk RNA sequencing was performed on peripheral blood mononuclear cells (PBMCs).
- Analysis included 183 children (114 asthma cases, 69 controls) across two cohorts.
- Severity-stratified analyses were conducted.
Main Results:
- Differential expression of known (RAB7B) and novel genes (RPP38-DT, NCAL1) associated with pediatric asthma.
- Upregulation of immune genes (CCL8, ACOD1, CXCL9, SLAMF1, EPN2) and downregulation of a transcript (ENSG00000288973) correlated with increased asthma severity.
- Impaired type I interferon signaling implicated in asthma severity via enrichment and co-expression analysis.
Conclusions:
- Novel molecular candidate genes contribute to pediatric asthma pathobiology.
- Findings may aid in future molecular stratification of pediatric asthma.
- Identified genes offer potential therapeutic targets.
Background:
Despite the high prevalence of pediatric asthma, the molecular basis of its pathogenesis remains incompletely understood, in part due to the complex and heterogeneous nature of the disease.
Methods:
In this study, we performed bulk RNA sequencing of peripheral blood mononuclear cells (PBMCs) from 183 children (114 asthma cases, 69 controls) across two independent cohorts as a minimally invasive approach to capture the gene expression changes underlying asthma status and severity.
Results:
Our analysis identified robust signatures of pediatric asthma, including differential expression of a canonical asthma gene (RAB7B) and two novel genes (RPP38-DT, NCAL1), which encode long non-coding RNAs. Additionally, severity-stratified analyses revealed upregulation of several immune-related genes (CCL8, ACOD1, CXCL9, SLAMF1, EPN2) and downregulation of an uncharacterized transcript (ENSG00000288973) as asthma severity increased. Enrichment and co-expression analysis further implicate impaired type I interferon signaling in asthma disease severity.
Conclusions:
Our results demonstrate contributions to the pathobiology of asthma among several novel molecular candidate genes, which may support future efforts towards molecular stratification of pediatric asthma.
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