19:10 - 21:00
Room: Ishikawa Ongakudō Interchange Hall
Poster Session
A liposomal dexamethasone targeting macrophages alleviates cytokine storm during H1N1 influenza virus infection.
Jeong Won Kwon, Seung Hyeok Seok, Yirang Na
Department of Microbiology and Immunology, Seoul National University College of Medicine, seoul, Korea, Republic of (South)

Pathogenic influenza virus infection often causes robust host cytokine responses, known as a cytokine storm, but the current antiviral therapy cannot modulate this harmful symptom. Dexamethasone is applied typically as an anti-inflammatory drug with minimal therapeutic effects and many side effects in this case. In this study, we aimed to deliver dexamethasone into macrophages which are major contributors to the cytokine storm. For effective application of drugs, we encapsulated dexamethasone into liposome with diameter of 1 μm for specific targeting of alveolar macrophages and administrated in H1N1 Influenza A/Wisconsin/WSLH34939/09 virus infection model. Therapeutic liposomal dexamethasone delivery enhanced mouse survival rates to 40% compared to 0 % in virus infected control mice. We further confirmed that liposomal dexamethasone significantly reduced TNFα, IL-1β, IL-6, MIP2 and IFNγ concentrations in bronchoalveolar lavage fluid from virus infected mice, while free dexamethasone could not. Lung histopathology showed severe bronchiolitis and alveolitis in virus infected control mice as well as free dexamethasone applied mice, while liposomal dexamethasone alleviated lung inflammation. In conclusion, liposome encapsulation of dexamethasone effectively reduced macrophage mediated lung inflammation in influenza infection model. We suggest that liposomes as effective drug delivery vehicles to target macrophages in influenza infection mediated cytokine storm.


Reference:
Mo-P1-53
Session:
Poster Session 1 ‟Innate immunity and infection”
Presenter/s:
Jeong Won Kwon
Presentation type:
Poster Presentation
Room:
Ishikawa Ongakudō Interchange Hall
Date:
Monday, 30 October 2017
Time:
19:10 - 21:00
Session times:
19:10 - 21:00