Back

Imbalanced immune response and dysregulation of neural functions underline fatal opportunistic encephalitis caused by astrovirus

Maximova, O. A.; Weller, M. L.; Krogmann, T.; Sturdevant, D. E.; Ricklefs, S.; Virtaneva, K.; Martens, C.; Wollenberg, K.; Minai, M.; Moore, I. N.; Sauter, C. S.; Barker, J. N.; Lipkin, I.; Seilhean, D.; Nath, A.; Cohen, J. I.

2022-08-23 microbiology
10.1101/2022.08.20.504643 bioRxiv
Show abstract

The incidence of infections of the central nervous system (CNS) in humans is increasing due to emergence and reemergence of pathogens and an increase in the number of immunocompromised patients. Many viruses are opportunists and can invade the CNS if the immune response of the host is impaired. Here we investigate neuropathogenesis of a rare CNS infection in immunocompromised patients caused by astrovirus and show that it shares many features with another opportunistic infection of the CNS caused by human immunodeficiency virus. We show that astrovirus infects CNS neurons with a major impact on the brainstem. In the setting of impaired peripheral adaptive immunity, host responses in the astrovirus infected brain are skewed to the innate immune response with exuberant activation of microglia and macrophages. Astrovirus infection of neurons and responses by phagocytic cells lead to disrupted synaptic integrity, loss of afferent innervation related to infected neurons, and global impairment of both excitatory and inhibitory neurotransmission. The response employed in the CNS against opportunistic viruses, such as astrovirus and HIV, may be a common compensatory defense mechanism which inadvertently leads to loss of neural functions due to the hosts exuberant innate immune response to pathogens when adaptive immunity is impaired.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.