ArticleFrontiers in immunology2025
Bioinformatics identification of mitochondria and macrophage polarization-related genes in COPD and their potential mechanisms.
Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Macrophage-associated prognostic modeling uncovers immunotherapy response mechanisms and defines HAGHL as a novel oncogenic driver in breast cancer.Frontiers in immunology · 2026Article
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Authors and funding
6 authors.
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Abstract
Introduction: This study investigated key genes associated with both chronic obstructive pulmonary disease (COPD) and macrophage polarization or mitochondrial dysfunction, and explored their underlying mechanisms through bioinformatics analysis. Methods: Data from GSE151052, GSE106986, and GSE171541 were utilized. Critical module genes linked to mitochondria-related genes (MRGs) and macrophage polarization-related genes (MPRGs) were identified Results: A series of analyses identified three COPD biomarkers-P2RY1, UBASH3B, and HMCN1-which exhibited strong discriminatory power between COPD and control samples. The nomogram effectively predicted COPD risk. Immune infiltration analysis revealed a strong positive correlation between UBASH3B and immature dendritic cells, while P2RY1 showed a strong negative correlation with eosinophils. Molecular regulation indicated that all three biomarkers were modulated by specific miRNAs and transcription factors. Nickel was identified as a potential drug co-predicted for the biomarkers. Single-cell analysis identified seven key cell types: macrophages, monocytes, T cells, AT2 cells, proliferating cells, endothelial cells, and stromal cells. Conclusion: Three biomarkers associated with mitochondrial function and macrophage polarization were identified in COPD through bioinformatics analysis. These biomarkers offer potential for enhancing COPD diagnosis and treatment, and provide insights into the molecular mechanisms underlying the disease.
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