Metabotropic glutamate receptor subtype 2 is a cellular receptor for rabies virus

Jinliang Wang(Chinese Academy of Agricultural Sciences), Zilong Wang(Chinese Academy of Agricultural Sciences), Renqiang Liu(Chinese Academy of Agricultural Sciences), Lei Shuai(Chinese Academy of Agricultural Sciences), Xinxin Wang(Chinese Academy of Agricultural Sciences), Jie Luo(Chinese Academy of Agricultural Sciences), Chong Wang(Chinese Academy of Agricultural Sciences), Weiye Chen(Chinese Academy of Agricultural Sciences), Xijun Wang(Chinese Academy of Agricultural Sciences), Jinying Ge(Chinese Academy of Agricultural Sciences), Xijun He(Chinese Academy of Agricultural Sciences), Zhiyuan Wen(Chinese Academy of Agricultural Sciences), Zhigao Bu(Chinese Academy of Agricultural Sciences)
PLoS Pathogens
July 20, 2018
Cited by 129Open Access
Full Text

Abstract

Rabies virus (RABV) invades the central nervous system and nearly always causes fatal disease in humans. How RABV interacts with host neuron membrane receptors to become internalized and cause rabid symptoms is not yet fully understood. Here, we identified a novel receptor of RABV, which RABV uses to infect neurons. We found that metabotropic glutamate receptor subtype 2 (mGluR2), a member of the G protein-coupled receptor family that is abundant in the central nervous system, directly interacts with RABV glycoprotein to mediate virus entry. RABV infection was drastically decreased after mGluR2 siRNA knock-down in cells. Antibodies to mGluR2 blocked RABV infection in cells in vitro. Moreover, mGluR2 ectodomain soluble protein neutralized the infectivity of RABV cell-adapted strains and a street strain in cells (in vitro) and in mice (in vivo). We further found that RABV and mGluR2 are internalized into cells and transported to early and late endosomes together. These results suggest that mGluR2 is a functional cellular entry receptor for RABV. Our findings may open a door to explore and understand the neuropathogenesis of rabies.


Related Papers

No related papers found

Powered by citation graph analysis