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Updated: Sep 17, 2025
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Methodology for Sputum Induction and Laboratory Processing
Published on: December 17, 2017
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Induced Sputum Transcriptomics Profile and Serum C3 are Associated with Asthma Severity
Fawang Du1, Hanchao Wang2, Zhihong Chen3
1Department of Respiratory Medicine and Critical Care Medicine, Suining Central Hospital, Suining, Sichuan, 629000, People's Republic of China.
Journal of Asthma and Allergy
|June 30, 2025
Summary
This study identifies a unique gene expression profile in sputum cells linked to asthma severity. It also highlights serum C3 as a promising biomarker for predicting asthma severity in patients.
Area of Science:
- * Genomics and Molecular Biology
- * Respiratory Medicine
- * Bioinformatics
Background:
- * Asthma severity assessment is crucial for effective patient management.
- * Transcriptomics plays a significant role in understanding asthma pathogenesis.
- * Identifying specific gene expression patterns can aid in predicting disease severity.
Purpose of the Study:
- * To explore the transcriptomic profile associated with asthma severity.
- * To identify potential biomarkers for predicting asthma severity.
- * To investigate the role of specific genes and serum C3 in asthma.
Main Methods:
- * RNA sequencing (RNA-seq) analysis of induced sputum cells from severe and non-severe asthma patients.
- * Multivariate analysis to identify differentially expressed genes (DEGs) associated with asthma severity.
- * Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) pathway enrichment analysis.
- * Validation of key DEGs and serum C3 levels in a separate cohort.
Main Results:
- * A distinct transcriptomics profile associated with asthma severity was identified in sputum cells.
- * 345 DEGs were identified, with significant enrichment in GO terms and KEGG pathways.
- * Increased mRNA expression of ZNF331, CD163, MACC1, ADAMTS2, and C3, and decreased expression of RYR1 and NRXN3 were observed in severe asthma.
- * Serum C3 demonstrated an AUC of 0.890 for asthma severity prediction.
Conclusions:
- * This study is the first to associate induced sputum cell transcriptomics with asthma severity.
- * The findings suggest transcriptomics holds potential for asthma management strategies.
- * Serum C3 shows promise as a clinical biomarker for predicting asthma severity.
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