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Published on: July 22, 2025
Exploring Potential Stress Granule-Related Biomarkers in Childhood Asthma Using Integrated Bioinformatics and Machine
1Department of Traditional Chinese Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Journal of Inflammation Research
|August 13, 2026
Summary
This study identified three key biomarkers (HNRNPA2B1, RPE, TAF15) linked to stress granules in childhood asthma, offering new therapeutic targets. These findings advance understanding of asthma pathogenesis and potential treatments.
Area of Science:
- Molecular Biology
- Bioinformatics
- Immunology
Background:
- Childhood asthma (CA) is a prevalent chronic respiratory condition.
- The specific role of stress granules (SGs) in CA pathogenesis is not well understood.
Purpose of the Study:
- To investigate shared genes and regulatory pathways between CA and SGs.
- To identify potential diagnostic biomarkers for CA using bioinformatics and machine learning.
Main Methods:
- Applied machine learning to identify candidate genes and biomarkers.
- Utilized bioinformatics analyses (mRNA-miRNA, transcription factor networks) for functional exploration.
- Validated gene expression levels using RT-qPCR and ROC analysis.
Main Results:
- Identified 11 candidate genes, pinpointing HNRNPA2B1, RPE, and TAF15 as potential biomarkers with diagnostic performance (AUC > 0.7).
- Functional enrichment analysis indicated involvement in processes like NADPH regeneration.
- Detected differential infiltration of immune cells, including natural killer cells, T cells, B cells, and monocytes.
- RT-PCR confirmed elevated HNRNPA2B1, RPE, and TAF15 mRNA levels in CA patients.
Conclusions:
- Successfully identified three novel SG-related biomarkers for CA.
- These biomarkers provide insights into CA pathogenesis.
- The findings suggest potential molecular targets for enhanced CA therapies.