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REVIEW

Skin innate immune response to flaviviral infection

Magali Garcia1,2, Michel Wehbe1, Nicolas Lévêque1,2, Charles Bodet1

1 Laboratoire inflammation tissus épithéliaux et cytokines EA 4331, université de Poitiers, Poitiers, France
2 Laboratoire de virologie et mycobactériologie, CHU de Poitiers, Poitiers, France

* Corresponding Author: Charles Bodet, email

European Cytokine Network 2017, 28(2), 41-51. https://doi.org/10.1684/ecn.2017.0394

Abstract

Skin is a complex organ and the largest interface of the human body exposed to numerous stress and pathogens. Skin is composed of different cell types that together perform essential functions such as pathogen sensing, barrier maintenance and immunity, at once providing the first line of defense against microbial infections and ensuring skin homeostasis. Being inoculated directly through the epidermis and the dermis during a vector blood meal, emerging Dengue, Zika and West Nile mosquito-borne viruses lead to the initiation of the innate immune response in resident skin cells and to the activation of dendritic cells, which migrate to the draining lymph node to elicit an adaptive response. This literature review aims to describe the inflammatory response and the innate immune signalization pathways involved in human skin cells during Dengue, Zika and West Nile virus infections.

Keywords

flavivirus, inflammation, signalling pathway, RIG-I, TLR3, MDA5

Cite This Article

APA Style
Garcia, M., Wehbe, M., Lévêque, N., Bodet, C. (2017). Skin innate immune response to flaviviral infection. European Cytokine Network, 28(2), 41–51. https://doi.org/10.1684/ecn.2017.0394
Vancouver Style
Garcia M, Wehbe M, Lévêque N, Bodet C. Skin innate immune response to flaviviral infection. Eur Cytokine Network. 2017;28(2):41–51. https://doi.org/10.1684/ecn.2017.0394
IEEE Style
M. Garcia, M. Wehbe, N. Lévêque, and C. Bodet, “Skin innate immune response to flaviviral infection,” Eur. Cytokine Network, vol. 28, no. 2, pp. 41–51, 2017. https://doi.org/10.1684/ecn.2017.0394



cc Copyright © 2017 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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