Bioinformatic Analysis of Gene Expression in Smoking and Chronic Obstructive Pulmonary Disease.

Unlabelled: Smoking is a key modifiable risk factor for developing the chronic obstructive pulmonary disease (COPD). When smoking, many processes, including the reverse transport of cholesterol mediated by the ATP binding cassette transporter A1 (ABCA1) protein are disrupted in the lungs. Changes in the cholesterol content in the lipid rafts of plasma membranes can modulate the function of transmembrane proteins localized in them. It is believed that this mechanism participates in increasing the inflammation in COPD.

Methods: Bioinformatic analysis of datasets from Gene Expression Omnibus (GEO) was carried out. Gene expression data from datasets of alveolar macrophages and the epithelium of the respiratory tract in smokers and COPD patients compared with non-smokers were used for the analysis. To evaluate differentially expressed genes, bioinformatic analysis was performed in comparison groups using the limma package in R (v. 4.0.2), and the GEO2R and Phantasus tools (v. 1.11.0).

Results: The conducted bioinformatic analysis showed changes in the expression of the gene associated with smoking. In the alveolar macrophages of smokers, the expression levels of were lower than in non-smokers. At the same time, in most of the airway epithelial datasets, gene expression did not show any difference between the groups of smokers and non-smokers. In addition, it was shown that the expression of in the epithelial cells of the trachea and large bronchi is higher than in small bronchi.

Conclusions: The conducted bioinformatic analysis showed that smoking can influence the expression of the gene, thereby modulating lipid transport processes in macrophages, which are part of the mechanisms of inflammation development.