ArticleInternational journal of chronic obstructive pulmonary disease2026
Critical Biological Functions and Clinical Implications of Epigenetic-Related Candidate Biomarkers in Chronic Obstructive Pulmonary Disease: Integrated Machine Learning Screening and Basic Experimental Validation.
Article in International journal of chronic obstructive pulmonary disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Chronic obstructive pulmonary disease (COPD) is the primary cause of deaths related to respiratory diseases. Epigenetic modifications are crucial in the development of mammals, and any disruption to epigenetic regulation may result in disease. Methods: We performed differential expression analysis on the GSE19407, GSE11784 and GSE20257 datasets from the Gene Expression Omnibus (GEO) dataset and obtained differentially expressed epigenetic-related genes (DE-ERGs) in COPD. Three machine learning techniques were used to screen the candidate epigenetic-related biomarkers in DE-ERGs, thereby further enhancing the robustness of the analysis framework. Immune infiltration analysis was performed on biomarkers. Results: A total of 5 biomarkers ( Conclusion: In summary, we identified 5 epigenetic-related candidate biomarkers that might be involved in COPD progression by bioinformatics techniques, which still require further experimental validation.
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