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Cigarette Smoke-Induced Epithelial-to-Mesenchymal Transition: Insights into Cellular Mechanisms and Signaling
Sarah Mohammed Alqithami1, Amrita Machwe1, David K Orren1
1Department of Toxicology and Cancer Biology, University of Kentucky College of Medicine, Lexington, KY 40536, USA.
Cigarette smoke (CS) triggers epithelial-to-mesenchymal transition (EMT) in lung cells via complex molecular pathways. Current research, however, relies on 2D cultures and overlooks genetic factors, necessitating advanced study.
Area of Science:
- Pulmonary Cell Biology
- Molecular Toxicology
- Cancer Research
Background:
- Cigarette smoke (CS) exposure is a major risk factor for respiratory diseases.
- Epithelial-to-mesenchymal transition (EMT) is a critical cellular process implicated in disease progression.
- Understanding CS-induced EMT in human bronchial epithelial cells (HBECs) is vital for developing therapeutic strategies.
Purpose of the Study:
- To review the molecular mechanisms of CS-induced EMT in HBECs.
- To identify research gaps and limitations in current methodologies.
- To provide a foundation for future research into CS-induced EMT.
Main Methods:
- Literature review of studies investigating CS-induced EMT in HBECs.
- Analysis of signaling pathways involved in CS-induced EMT, including WNT/β-catenin, TGF-β/SMAD, hypoxia, oxidative stress, PI3K/Akt, and NF-κB.
- Critical evaluation of research methodologies, focusing on cell culture models and consideration of genetic/epigenetic factors.
Main Results:
- CS induces EMT in HBECs through intricate molecular signaling pathways.
- Current research predominantly utilizes 2D cell cultures, potentially limiting biological relevance.
- Genetic and epigenetic factors in CS-induced EMT have been largely overlooked in recent studies.
Conclusions:
- CS-induced EMT is a complex process involving multiple signaling pathways.
- There is a critical need to move beyond 2D culture models to more accurately simulate in vivo conditions.
- Future research should incorporate genetic and epigenetic analyses to comprehensively understand CS-induced EMT.
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