Identification of Cuproptosis-Related Genes and Their Potential Role in COPD Pathogenesis: A Bioinformatics Analysis

Qin Shen,1,2,* Jin-Bo Huang,1,* Mi Zhu,3,* Dao-Jun Ji,2 Si-Jia Huang,2 Jun Li1 1Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Nantong Key Laboratory of Respiratory Medicine, Nantong, Jiangsu, 226001, People’s Republic of Chin...

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Main Authors: Shen Q, Huang JB, Zhu M, Ji DJ, Huang SJ, Li J
Format: Article
Language:English
Published: Dove Medical Press 2025-04-01
Series:International Journal of COPD
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Online Access:https://www.dovepress.com/identification-of-cuproptosis-related-genes-and-their-potential-role-i-peer-reviewed-fulltext-article-COPD
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author Shen Q
Huang JB
Zhu M
Ji DJ
Huang SJ
Li J
author_facet Shen Q
Huang JB
Zhu M
Ji DJ
Huang SJ
Li J
author_sort Shen Q
collection DOAJ
description Qin Shen,1,2,* Jin-Bo Huang,1,* Mi Zhu,3,* Dao-Jun Ji,2 Si-Jia Huang,2 Jun Li1 1Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Nantong Key Laboratory of Respiratory Medicine, Nantong, Jiangsu, 226001, People’s Republic of China; 2Medical School of Nantong University, Nantong, Jiangsu, 226001, People’s Republic of China; 3Department of Pulmonary and Critical Care Medicine, Changshu No.1 People’s Hospital, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jun Li, Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Nantong Key Laboratory of Respiratory Medicine, Nantong, Jiangsu, 226001, People’s Republic of China, Email junli11231@163.comBackground: Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide, and its pathogenesis and potentially relevant biomarkers require further study. Imbalance in copper (Cu2+) metabolism is related to a series of diseases, but its role in COPD has not been specified.Methods: A dataset relevant to COPD was downloaded from Gene Expression Omnibus database, among which a total of 18 cuproptosis-related genes (CRGs) were screened. The SimDesign package was used to perform single-factor Rogers regression to screen genes associated with disease phenotypes, risk score prediction models were constructed, and Receiver Operating Characteristic (ROC) curves were used to evaluate the efficacy of the prediction models. In addition, we verified the expression of CRGs in subtypes and the correlation between subtypes and clinical characteristics using a database. Finally, immune correlation analysis was used to explore immune cell infiltration.Results: Five biomarkers (DLST, GLS, LIPT1, MTF1, and PDHB) were identified. ROC analysis illustrated that these five biomarkers performed well (area under the curve (AUCs)> 0.7), and the enrichment scores of diagnostic CRGs were significantly different among subtypes, among which the chi-square test P-values of the age groups were significantly different. The immune infiltration evaluation of cuproptosis subtypes revealed that the correlation analysis results of 22 types of immune cells showed a significant correlation between these cells, and the five CRGs were significantly correlated with the content of most immune cells in the 22 types of immune cells. The four pathways with the most significant differences in GSEA among subtypes were Oxidative Phosphorylation, Parkinson’s Disease, Purine Metabolism, and Drug Metabolism Cytochrome P450.Conclusion: This study identified five candidate genes for further investigation (DLST, GLS, LIPT1, MTF1, and PDHB) and constructed disease prediction models and pathogenesis pathways. This study can provide a basis for further research on the role of cuproptosis in COPD.Keywords: chronic obstructive pulmonary disease, cuproptosis, gene expression
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series International Journal of COPD
spelling doaj-art-2daabc65b00d4e4fbc8db7ef482f97df2025-08-20T02:16:14ZengDove Medical PressInternational Journal of COPD1178-20052025-04-01Volume 2010831096102130Identification of Cuproptosis-Related Genes and Their Potential Role in COPD Pathogenesis: A Bioinformatics AnalysisShen QHuang JBZhu MJi DJHuang SJLi JQin Shen,1,2,* Jin-Bo Huang,1,* Mi Zhu,3,* Dao-Jun Ji,2 Si-Jia Huang,2 Jun Li1 1Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Nantong Key Laboratory of Respiratory Medicine, Nantong, Jiangsu, 226001, People’s Republic of China; 2Medical School of Nantong University, Nantong, Jiangsu, 226001, People’s Republic of China; 3Department of Pulmonary and Critical Care Medicine, Changshu No.1 People’s Hospital, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jun Li, Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Nantong Key Laboratory of Respiratory Medicine, Nantong, Jiangsu, 226001, People’s Republic of China, Email junli11231@163.comBackground: Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide, and its pathogenesis and potentially relevant biomarkers require further study. Imbalance in copper (Cu2+) metabolism is related to a series of diseases, but its role in COPD has not been specified.Methods: A dataset relevant to COPD was downloaded from Gene Expression Omnibus database, among which a total of 18 cuproptosis-related genes (CRGs) were screened. The SimDesign package was used to perform single-factor Rogers regression to screen genes associated with disease phenotypes, risk score prediction models were constructed, and Receiver Operating Characteristic (ROC) curves were used to evaluate the efficacy of the prediction models. In addition, we verified the expression of CRGs in subtypes and the correlation between subtypes and clinical characteristics using a database. Finally, immune correlation analysis was used to explore immune cell infiltration.Results: Five biomarkers (DLST, GLS, LIPT1, MTF1, and PDHB) were identified. ROC analysis illustrated that these five biomarkers performed well (area under the curve (AUCs)> 0.7), and the enrichment scores of diagnostic CRGs were significantly different among subtypes, among which the chi-square test P-values of the age groups were significantly different. The immune infiltration evaluation of cuproptosis subtypes revealed that the correlation analysis results of 22 types of immune cells showed a significant correlation between these cells, and the five CRGs were significantly correlated with the content of most immune cells in the 22 types of immune cells. The four pathways with the most significant differences in GSEA among subtypes were Oxidative Phosphorylation, Parkinson’s Disease, Purine Metabolism, and Drug Metabolism Cytochrome P450.Conclusion: This study identified five candidate genes for further investigation (DLST, GLS, LIPT1, MTF1, and PDHB) and constructed disease prediction models and pathogenesis pathways. This study can provide a basis for further research on the role of cuproptosis in COPD.Keywords: chronic obstructive pulmonary disease, cuproptosis, gene expressionhttps://www.dovepress.com/identification-of-cuproptosis-related-genes-and-their-potential-role-i-peer-reviewed-fulltext-article-COPDchronic obstructive pulmonary diseasecuproptosisgene expression
spellingShingle Shen Q
Huang JB
Zhu M
Ji DJ
Huang SJ
Li J
Identification of Cuproptosis-Related Genes and Their Potential Role in COPD Pathogenesis: A Bioinformatics Analysis
International Journal of COPD
chronic obstructive pulmonary disease
cuproptosis
gene expression
title Identification of Cuproptosis-Related Genes and Their Potential Role in COPD Pathogenesis: A Bioinformatics Analysis
title_full Identification of Cuproptosis-Related Genes and Their Potential Role in COPD Pathogenesis: A Bioinformatics Analysis
title_fullStr Identification of Cuproptosis-Related Genes and Their Potential Role in COPD Pathogenesis: A Bioinformatics Analysis
title_full_unstemmed Identification of Cuproptosis-Related Genes and Their Potential Role in COPD Pathogenesis: A Bioinformatics Analysis
title_short Identification of Cuproptosis-Related Genes and Their Potential Role in COPD Pathogenesis: A Bioinformatics Analysis
title_sort identification of cuproptosis related genes and their potential role in copd pathogenesis a bioinformatics analysis
topic chronic obstructive pulmonary disease
cuproptosis
gene expression
url https://www.dovepress.com/identification-of-cuproptosis-related-genes-and-their-potential-role-i-peer-reviewed-fulltext-article-COPD
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