Upregulation of Neuroinflammation-Associated Genes in the Brain of SARS-CoV-2-Infected Mice

Author:

Oh Soo-Jin1ORCID,Kumari Pratima2,Auroni Tabassum Tasnim2ORCID,Stone Shannon2,Pathak Heather2,Elsharkawy Amany2ORCID,Natekar Janhavi Prasad2,Shin Ok Sarah1,Kumar Mukesh2ORCID

Affiliation:

1. BK21 Graduate Program, Department of Biomedical Sciences, College of Medicine, Korea University Guro Hospital, Seoul 08308, Republic of Korea

2. Department of Biology, College of Arts and Sciences, Georgia State University, Atlanta, GA 30303, USA

Abstract

Neurological manifestations are a significant complication of coronavirus disease 2019 (COVID-19), but the underlying mechanisms are yet to be understood. Recently, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-induced neuroinvasion and encephalitis were observed in K18-hACE2 mice, leading to mortality. Our goal in this study was to gain insights into the molecular pathogenesis of neurological manifestations in this mouse model. To analyze differentially expressed genes (DEGs) in the brains of mice following SARS-CoV-2 infection, we performed NanoString gene expression analysis using three individual animal samples at 1, 3, and 6 days post-infection. We identified the DEGs by comparing them to animals that were not infected with the virus. We found that genes upregulated at day 6 post-infection were mainly associated with Toll-like receptor (TLR) signaling, RIG-I-like receptor (RLR) signaling, and cell death pathways. However, downregulated genes were associated with neurodegeneration and synaptic signaling pathways. In correlation with gene expression profiles, a multiplexed immunoassay showed the upregulation of multiple cytokines and chemokines involved in inflammation and cell death in SARS-CoV-2-infected brains. Furthermore, the pathway analysis of DEGs indicated a possible link between TLR2-mediated signaling pathways and neuroinflammation, as well as pyroptosis and necroptosis in the brain. In conclusion, our work demonstrates neuroinflammation-associated gene expression profiles, which can provide key insight into the severe disease observed in COVID-19 patients.

Funder

Korea Health Industry Development Institute

National Research Foundation of Korea

Publisher

MDPI AG

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