Multi-omics biomarker detection in smoking induced COPD
Rahamat Unissa Syed1, Mohamed Khaled Bin Break2, Rihab Akasha3
1Department of Pharmaceutics, College of Pharmacy, University of Hai'l, Hai'l 81442, Saudi Arabia.
Clinica Chimica Acta; International Journal of Clinical Chemistry
|January 28, 2026
Summary
Multi-omics profiling advances chronic obstructive pulmonary disease (COPD) understanding by identifying molecular subtypes. Integrating transcriptomics, proteomics, and epigenomics offers precision diagnostics and personalized COPD management.
Area of Science:
- Pulmonary Medicine
- Molecular Biology
- Genomics
Background:
- Chronic obstructive pulmonary disease (COPD) exhibits significant heterogeneity.
- Traditional spirometric biomarkers inadequately represent COPD's molecular complexity.
Purpose of the Study:
- To review advancements in multi-omics profiling for defining COPD endotypes.
- To enhance clinical categorization and management strategies for COPD.
Main Methods:
- Discusses transcriptomics, proteomics, metabolomics, and epigenomics/acetylomics.
- Highlights identification of circulating protein markers (SP-D, CC16, fibrinogen, cytokines).
- Examines epigenomic studies (DNA methylation, non-coding RNAs) and acetylomic analyses.
Main Results:
- Multi-omics integration identifies biologically meaningful COPD endotypes.
- Circulating protein markers predict COPD severity, exacerbation risk, and mortality.
- Integrative multi-omics solutions outperform single-biomarker approaches in capturing heterogeneity.
Conclusions:
- Multi-omics integration is crucial for precision diagnostics and individualized COPD management.
- Addresses the gap between molecular pathology and clinical decision-making in COPD.
- Acknowledges constraints from cohort/platform heterogeneity, emphasizing standardization needs.
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