Document Type : Original Article
Authors
1
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2
Celiac Disease and Gluten Related Disorders Research Center, Research Institute for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3
Clinical Tuberculosis and Epidemiology Research Center. National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
4
Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
6
Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
7
Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
8
Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
9
Iranian Cancer Control Center (MACSA), Tehran, Iran
Abstract
Background: Electronic cigarettes produce aerosols that contain flavoring agents and nicotine, a drug that can lead to dependence, which users inhale. The widespread use of e-cigarettes has prompted research projects to investigate the safety or risks of e-cigarette smoke on human health. The present study aims to discover details of the e-cigarette smoke effect on the gene expression profile of human bronchial epithelial cells (HBECs) via network analysis.
Materials and Methods: Data of GSE118431(GPL16791) from Gene Expression Omnibus (GEO) were extracted and pre-evaluated by GEO2R program. The differentially expressed genes (DEGs) were analyzed via protein-protein interaction PPI analysis, and the critical DEGs were introduced.
Results: A total of 192 significant DEGs among the 17058 targeted genes were selected for PPI network analysis. The 177 recognized genes were interacted to construct a network. Six DEGs were common between the hubs and bottlenecks of the network.
Conclusion: E-cigarettes target IL1B, PTGS2, SOD2, NFKBIA, TXNRD1, and DUSP1, the critical genes that are associated with progression of inflammation, cell proliferation and cell invasion in cancer, chromatin condensation, DNA fragmentation, and cell death.
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