Pratima Kumari

Dr. Pratima Kumari

GSU · Department of Biology, Georgia State University, Atlanta, GA, USA

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 June 2024 in Pathogens
Verified
Journal Article
Open access
PDF file
SOSoo-jin Oh
Soo-jin Oh
Pratima KumariPratima Kumari
Pratima Kumari
TATabassum Tasnim Auroni
Tabassum Tasnim Auroni
SSShannon Stone
Shannon Stone
HPHeather Pathak
Heather Pathak
Mukesh KumarMukesh Kumar
Mukesh Kumar
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.