Axl Mediates ZIKA Virus Entry in Human Glial Cells and Modulates Innate Immune Responses

Laurent Meertens(Génomes, biologie cellulaire et thérapeutiques), Athéna Labeau(Génomes, biologie cellulaire et thérapeutiques), Ophélie Dejarnac(Délégation Paris 7), Sara Cipriani(Délégation Paris 7), Laura Sinigaglia(Institut Pasteur), Lucie Bonnet‐Madin(Sorbonne Paris Cité), Tifenn Le Charpentier(Inserm), Mohamed Lamine Hafirassou(Sorbonne Paris Cité), Alessia Zamborlini(Université Paris Cité), Van‐Mai Cao‐Lormeau(Institut Louis Malardé), Muriel Coulpier(École Nationale Vétérinaire d'Alfort), Dorothée Missé(Centre National de la Recherche Scientifique), Nolwenn Jouvenet(Institut Pasteur), Ray Tabibiazar, Pierre Gressèns(Université Paris Cité), Olivier Schwartz(Institut Pasteur), Ali Amara(Génomes, biologie cellulaire et thérapeutiques)
Cell Reports
January 1, 2017
Cited by 438Open Access
Full Text

Abstract

ZIKA virus (ZIKV) is an emerging pathogen responsible for neurological disorders and congenital microcephaly. However, the molecular basis for ZIKV neurotropism remains poorly understood. Here, we show that Axl is expressed in human microglia and astrocytes in the developing brain and that it mediates ZIKV infection of glial cells. Axl-mediated ZIKV entry requires the Axl ligand Gas6, which bridges ZIKV particles to glial cells. Following binding, ZIKV is internalized through clathrin-mediated endocytosis and traffics to Rab5+ endosomes to establish productive infection. During entry, the ZIKV/Gas6 complex activates Axl kinase activity, which downmodulates interferon signaling and facilitates infection. ZIKV infection of human glial cells is inhibited by MYD1, an engineered Axl decoy receptor, and by the Axl kinase inhibitor R428. Our results highlight the dual role of Axl during ZIKV infection of glial cells: promoting viral entry and modulating innate immune responses. Therefore, inhibiting Axl function may represent a potential target for future antiviral therapies.


Related Papers

No related papers found

Powered by citation graph analysis