Identification and verification of mitochondria-related genes biomarkers associated with immune infiltration for COPD using WGCNA and machine learning algorithms

• Published in: Scientific reports Vol. 15; no. 1; pp. 14347 - 16
• Main Authors: Peng, Meijuan, Jiang, Chen, Dai, Ziyu, Xie, Bin, Chen, Qiong, Lin, Jianing
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 24.04.2025; Nature Portfolio
• Subjects: 631/114; 692/308; 692/699; 692/699/1785; Algorithms; Animals; Biomarkers - metabolism; Computational Biology - methods; COPD; Gene Expression Profiling; Gene Regulatory Networks; Genes, Mitochondrial; Humanities and Social Sciences; Humans; Immune infiltration; Machine Learning; Mice; Mitochondria - genetics; Mitochondria - metabolism; Mitochondria-related genes; multidisciplinary; Pulmonary Disease, Chronic Obstructive - diagnosis; Pulmonary Disease, Chronic Obstructive - genetics; Pulmonary Disease, Chronic Obstructive - immunology; Pulmonary Disease, Chronic Obstructive - pathology; Science; Science (multidisciplinary); Machine learning; Immune infiltration; COPD; Mitochondria-related genes

Mitochondrial dysfunction plays a pivotal role in the pathogenesis of chronic obstructive pulmonary disease (COPD). This study combines bioinformatics analysis with machine learning to elucidate potential key mitochondrial-related genes associated with COPD and its immune microenvironment. We utiliz...