RESUMO

Chronic obstructive pulmonary disease (COPD) is a growing cause of morbidity and mortality throughout the world. The purpose of our study was to uncover biomarkers and explore its pathogenic mechanisms at the molecular level. The gene expression profiles of COPD samples and normal controls were downloaded from Gene Expression Omnibus. Matlab was used for data preprocessing and SAM4.0 was applied to determine the differentially expressed genes (DEGs). Furthermore, a protein-protein interaction (PPI) network was constructed by mapping the DEGs into PPI data, and functional analysis of the network was conducted with BiNGO. A total of 348 DEGs and 765 interactive genes were identified. The hub genes were mainly involved in metabolic processes and ribosome biogenesis. Several genes related to COPD in the PPI network were found, including CAMK1D, ALB, KIT, and DDX3Y. In conclusion, CAMK1D, ALB, KIT, and DDX3Y were chosen as candidate genes, which have the potential to be biomarkers or candidate target molecules to apply in clinical diagnosis and treatment of COPD.

Assuntos

Mapeamento de Interação de Proteínas/métodos , Mapas de Interação de Proteínas/genética , Doença Pulmonar Obstrutiva Crônica/genética , Transdução de Sinais/genética , Biomarcadores/metabolismo , Proteína Quinase Tipo 1 Dependente de Cálcio-Calmodulina/genética , Proteína Quinase Tipo 1 Dependente de Cálcio-Calmodulina/metabolismo , RNA Helicases DEAD-box/genética , RNA Helicases DEAD-box/metabolismo , Perfilação da Expressão Gênica , Redes Reguladoras de Genes , Predisposição Genética para Doença/genética , Humanos , Antígenos de Histocompatibilidade Menor , Modelos Genéticos , Análise de Sequência com Séries de Oligonucleotídeos , Proteínas Proto-Oncogênicas c-kit/genética , Proteínas Proto-Oncogênicas c-kit/metabolismo , Doença Pulmonar Obstrutiva Crônica/metabolismo , Albumina Sérica/genética , Albumina Sérica/metabolismo , Albumina Sérica Humana