scholarly journals The Effect of Different Case Definitions of Current Smoking on the Discovery of Smoking-Related Blood Gene Expression Signatures in Chronic Obstructive Pulmonary Disease

2016 ◽  
Vol 18 (9) ◽  
pp. 1903-1909 ◽  
Author(s):  
Ma’en Obeidat ◽  
Xiaoting Ding ◽  
Nick Fishbane ◽  
Zsuzsanna Hollander ◽  
Raymond T. Ng ◽  
...  
Membranes ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 674
Author(s):  
Stanislav Kotlyarov ◽  
Anna Kotlyarova

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 ABCA1 gene associated with smoking. In the alveolar macrophages of smokers, the expression levels of ABCA1 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 ABCA1 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 ABCA1 gene, thereby modulating lipid transport processes in macrophages, which are part of the mechanisms of inflammation development.


2021 ◽  
pp. 2101320
Author(s):  
Pei-Dong Zhang ◽  
Xi-Ru Zhang ◽  
Ao Zhang ◽  
Zhi-Hao Li ◽  
Dan Liu ◽  
...  

BackgroundGenetic and smoking contribute to chronic obstructive pulmonary disease (COPD), but whether a combined polygenic risk score (PRS) is associated with incident COPD and whether it has a synergistic effect on the smoking remains unclear. We aimed to investigate the association of PRS with COPD and explore whether smoking behaviors could modify such association.MethodsMultivariable Cox proportional models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the association of the PRS and smoking with COPD.ResultsThe study included 439 255 participants (mean age 56.5; 53.9% female), with a median follow-up of 9.0 years. The PRSlasso containing 2.5 million variants showed better discrimination and a stronger association for incident COPD than the PRS279 containing 279 genome-wide significance variants. Compared with the low genetic risk, the HRs of the medium and high genetic risk were 1.39 (95% CI, 1.31–1.48) and 2.40 (95% CI, 2.24–2.56), respectively. The HR of high genetic risk and current smoking was 11.62 (95% CI, 10.31–13.10) times of low genetic risk and never smoking. There were significant interactions between the PRSlasso and smoking status for incident COPD (p for interaction<0.001). From low genetic risk to high genetic risk, the HRs of current smoking increased from 4.32 (95% CI, 3.69–5.06) to 6.89 (95% CI, 6.21–7.64), and the population-attributable risks of smoking increased from 42.7% to 61.1%.ConclusionPRS constructed from millions of variants below genome-wide significance showed significant associations with incident COPD. Participants with a high genetic risk may be more susceptible to developing COPD when exposed to smoking.


PLoS ONE ◽  
2011 ◽  
Vol 6 (9) ◽  
pp. e24395 ◽  
Author(s):  
Weiliang Qiu ◽  
Michael H. Cho ◽  
John H. Riley ◽  
Wayne H. Anderson ◽  
Dave Singh ◽  
...  

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