Genomics

Dataset Information

0

Transcriptomic responses in the blood and sputum of cigarette smokers compared to e-cigarette vapers


ABSTRACT: Objectives: To identify transcriptomic differences in the blood and sputum of e-cigarette users compared to conventional cigarettes smokers and healthy controls and describe biological pathways affected by these tobacco products. Methods: Cross-sectional analysis of whole blood and sputum RNA-sequencing data from 8 smokers, 9 e-cigarette users (e-cigs) and 4 controls. Weighted gene co-network analysis (WGCNA) identified gene module associations. Ingenuity Pathway Analysis (IPA) identified canonical pathways associated with tobacco products. Main Results: In blood, a three-group comparison showed 16 differentially expressed genes (DEGs); pair-wise comparison showed 7 DEGs between e-cigs and controls, 35 DEGs between smokers and controls, and 13 DEGs between smokers and e-cigs. In sputum, 438 DEGs were in the three-group comparison. In pair-wise comparisons, there were 2 DEGs between e-cigs and controls, 270 DEGs between smokers and controls, and 468 DEGs between smokers and e-cigs. Only 2 genes in the smokers vs. control comparison overlapped between blood and sputum. Most gene modules identified through WGCNA associated with tobacco product exposures also were associated with cotinine and exhaled CO levels. IPA showed multiple canonical pathways altered by conventional smoking but none by e-cigarette use. Conclusion: Cigarette smoking and e-cigarette use led to transcriptomic changes in both blood and sputum. However, conventional cigarettes induced much stronger transcriptomic responses in both compartments.

ORGANISM(S): Homo sapiens

PROVIDER: GSE223736 | GEO | 2023/05/24

REPOSITORIES: GEO

Similar Datasets

2019-06-30 | E-MTAB-6558 | biostudies-arrayexpress
2019-06-30 | E-MTAB-6559 | biostudies-arrayexpress
2021-12-01 | GSE169757 | GEO
2017-08-05 | E-MTAB-5332 | biostudies-arrayexpress
2023-05-01 | GSE202215 | GEO
2019-10-09 | GSE112073 | GEO
2014-07-02 | GSE55962 | GEO
2008-03-04 | GSE10700 | GEO
2008-04-06 | E-GEOD-10700 | biostudies-arrayexpress
2015-08-28 | PXD001977 | Pride