Effect of waterpipe tobacco smoking on airway inflammation in murine model of asthma

Abstract

Objective: There has been an increase in the popularity of waterpipe tobacco smoking (WTS) worldwide, especially in the younger population, including asthma patients. In this study, we investigated the effects of waterpipe smoking on airway inflammation, cytokine levels and oxidative stress markers in an antigen-driven murine model of asthma.

Materials and methods: Balb/c mice were divided into four groups; (1) control (received fresh air, ovalbumin sensitization and saline challenge), (2) WTS (received WTS, ovalbumin sensitization and saline challenge), (3) Ova S/C (received fresh air, ovalbumin sensitization and ovalbumin challenge) and (4) simultaneous WTS and Ova S/C (received WTS, ovalbumin sensitization and ovalbumin challenge). Airway inflammatory cells were evaluated in the broncho-alveolar lavage fluid. Cytokines [interleukin (IL)-13, 10 and 18] and oxidative stress markers [superoxide dismutase (SOD), catalase and glutathione peroxidase (GPx)] were evaluated in the lung homogenates.

Results: Chronic exposure to WTS significantly increased the number of airway inflammatory cells in mice, specifically: eosinophils, neutrophils, macrophages and lymphocytes. The level of IL-13 in the lungs was increased and the level of IL-10 was reduced (p < 0.05) by WTS.

Chronic WTS potentiated the increase in inflammatory cells induced by Ova S/C (p < 0.05). The level of IL-13 in the lungs was increased by simultaneous WTS and Ova S/C (p < 0.05) while, levels of IL-10, IL-18, SOD, catalase and GPx in the lungs were not affected.

Conclusions: Chronic WTS exposure induced airway inflammation in control mice and enhanced airway inflammation in murine model of asthma.

Keywords:

• Cytokines
• eosinophils
• inflammatory cells
• murine model of asthma
• ovalbumin
• oxidative stress
• waterpipe smoking

Acknowledgments

The authors thank the Deanship of Research in Jordan University of Science and Technology (grant number 165/2015) for funding this work. The authors thank Vaidehi Thanawala, PhD, Rhadika Josh, PhD, Weam Alyacoub, BSc, Hanadi Boul, MSc, Yehya Almahmoud, BSc for their technical assistance.

Disclosure statement

The authors report no conflicts of interest.

Additional information

Funding

This work was supported by Deanship of Research in Jordan University of Science and Technology (grant number 165/2015).