ArticleInternational journal of genomics2025
Identifying the Key Mitochondria-Related Genes in COPD by Integrating Machine Learning and Bioinformatics Analyses.
Article in International journal of genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Mitochondrial dysfunction and the regulatory cell death crosstalk network in chronic obstructive pulmonary disease: from oxidative stress mechanisms to targeted therapeutic strategies.Frontiers in immunology · 2026Review
- Identifying the Key Mitochondria-Related Genes in COPD by Integrating Machine Learning and Bioinformatics Analyses.International journal of genomics · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Background: Chronic obstructive pulmonary disease (COPD), a prevalent chronic respiratory disorder with high morbidity and mortality, is closely associated with mitochondrial dysfunction and immune dysregulation; however, the underlying mechanisms remain unclear. Aims: The aim of this study is to identify mitochondrial hub genes and evaluate their diagnostic potential in COPD. Methods: This study combined bioinformatics and experimental methods to investigate mitochondria-related differentially expressed genes (MitoDEGs) in COPD pathogenesis. Two GEO datasets (GSE38974/GSE8545) were analyzed to identify MitoDEGs, which were functionally characterized and refined via machine learning (LASSO/SVM-RFE). Key genes were further validated using quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot in bronchial epithelial cells and COPD mouse model lung tissues. Immune infiltration analysis revealed connections between MitoDEGs and immune dysregulation in COPD that were experimentally confirmed using immunohistochemistry (IHC) and immunofluorescence (IF). Results: Among 28 identified MitoDEGs, five feature genes ( Conclusions: These findings highlight
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