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Identifying miRNA-mRNA Networks Associated With COPD Phenotypes.
Yonghua Zhuang1, Brian D Hobbs2,3,4, Craig P Hersh2,3,4
1Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Frontiers in Genetics
|November 15, 2021
Summary
Researchers identified novel microRNA-mRNA networks linked to chronic obstructive pulmonary disease (COPD) phenotypes. These networks offer a systems-level view of COPD pathogenesis and aid in discovering biomarkers beyond traditional methods.
Area of Science:
- Genomics and Bioinformatics
- Pulmonary Medicine
- Systems Biology
Background:
- Chronic obstructive pulmonary disease (COPD) involves airflow limitation and symptoms like shortness of breath.
- While microRNA (miRNA) and gene (mRNA) dysregulation is known in COPD, their systematic interactions remain unclear.
- Understanding these gene regulatory networks is crucial for elucidating COPD pathogenesis.
Purpose of the Study:
- To identify novel miRNA-mRNA networks associated with COPD-related phenotypes using whole blood data.
- To explore the utility of phenotype-directed interpretable networks for discovering novel COPD biomarkers.
- To investigate the impact of covariate adjustment on network identification power.
Main Methods:
- Integrated whole blood miRNA and RNA-sequencing data from 404 COPDGene study participants.
- Employed Sparse Multiple Canonical Correlation Network (SmCCNet) to identify miRNA-mRNA networks.
- Analyzed associations with lung function (FEV1) and emphysema severity, assessing covariate adjustment effects.
Main Results:
- Partial covariate adjustment (age, sex, race, CT scanner model) improved network identification for emphysema.
- Found six miRNA-mRNA networks associated with COPD phenotypes.
- Identified a significant network (2 miRNAs, 28 mRNAs) correlated with FEV1 (r=0.33, p=5.40E-12) and another (5 miRNAs, 81 mRNAs) with emphysema (r=0.45, p=8.80E-22).
Conclusions:
- The identified miRNA-mRNA networks provide a systems-level perspective on COPD pathogenesis.
- These networks complement traditional biomarker discovery by revealing complex gene regulatory interactions.
- The findings highlight potential novel biomarkers for COPD diagnosis and understanding disease mechanisms.
