Japanese encephalitis virus (JEV) is a neurotropic pathogen that causes lethal encephalitis. The high susceptibility and massive proliferation of JEV in neurons lead to extensive neuronal damage and inflammation within the central nervous system. Despite extensive research on JEV pathogenesis, the effect of JEV on the cellular composition and viral tropism towards distinct neuronal subtypes in the brain is still not well comprehended. To address these issues, we performed single-cell RNA sequencing (scRNA-seq) on cells isolated from the JEV-highly infected regions of mouse brain. We obtained 88,000 single cells and identified 34 clusters representing 10 major cell types. The scRNA-seq results revealed an increasing amount of activated microglia cells and infiltrating immune cells, including monocytes & macrophages, T cells, and natural killer cells, which were associated with the severity of symptoms. Additionally, we observed enhanced communication between individual cells and significant ligand-receptor pairs related to tight junctions, chemokines and antigen-presenting molecules upon JEV infection, suggesting an upregulation of endothelial permeability, inflammation and antiviral response. Moreover, we identified that Baiap2-positive neurons were highly susceptible to JEV. Our findings provide valuable clues for understanding the mechanism of JEV induced neuro-damage and inflammation as well as developing therapies for Japanese encephalitis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10967088PMC
http://dx.doi.org/10.1186/s12974-024-03071-1DOI Listing

Publication Analysis

Top Keywords

japanese encephalitis
12
single-cell rna
8
rna sequencing
8
viral tropism
8
central nervous
8
nervous system
8
encephalitis virus
8
jev
7
cells
7
sequencing reveals
4

Similar Publications

Natural selection shapes codon usage and host adaptation of NS1 in mosquito-borne pathogenic flaviviruses.

Int J Biol Macromol

December 2024

National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China. Electronic address:

The NS1 protein of nine mosquito-borne flaviviruses, including Dengue virus 1-4, Japanese encephalitis virus, West Nile virus, Yellow fever virus, Tembusu virus, and Zika virus, shows distinct codon usage and evolutionary traits. Codon usage analysis shows notable base composition bias and non-conservatism in NS1, with distinct evolutionary traits from its ORF. Analysis of relative synonymous codon usage (RSCU) indicates that the NS1 genes exhibit non-conservative RSCU patterns within different mosquito-borne pathogenic flaviviruses.

View Article and Find Full Text PDF

Current epidemiology of infectious encephalitis: a narrative review.

Clin Microbiol Infect

December 2024

Department of Infectious Diseases, Aalborg University Hospital, 9000 Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark; European Society of Clinical Microbiology and Infectious Diseases Study Group of Infections of the Brain (ESGIB).

Background: Infectious encephalitis poses a global health challenge with a high mortality and severe neurological consequences in survivors. Emerging pathogens and outbreaks are reshaping the patterns of the disease.

Objective: To understand the current epidemiology for improving prevention, diagnosis, and treatment.

View Article and Find Full Text PDF

Flaviviruses, which include globally impactful pathogens, such as West Nile virus, yellow fever virus, Zika virus, Japanese encephalitis virus, and dengue virus, contribute significantly to human infections. Despite the ongoing emergence and resurgence of flavivirus-mediated pathogenesis, the absence of specific therapeutic options remains a challenge in the prevention and treatment of flaviviral infections. Through the intricate processes of fusion, transcription, replication, and maturation, the complex interplay of viral and host metabolic interactions affects pathophysiology.

View Article and Find Full Text PDF

Predicting the infecting dengue serotype from antibody titre data using machine learning.

PLoS Comput Biol

December 2024

MRC Centre for Global Infectious Disease Analysis and the Abdul Latif Jameel Institute for Disease and Emergency Analytics, School of Public Health, Imperial College London, London, United Kingdom.

The development of a safe and efficacious vaccine that provides immunity against all four dengue virus serotypes is a priority, and a significant challenge for vaccine development has been defining and measuring serotype-specific outcomes and correlates of protection. The plaque reduction neutralisation test (PRNT) is the gold standard assay for measuring serotype-specific antibodies, but this test cannot differentiate homotypic and heterotypic antibodies and characterising the infection history is challenging. To address this, we present an analysis of pre- and post-infection antibody titres measured using the PRNT, collected from a prospective cohort of Thai children.

View Article and Find Full Text PDF

Acute encephalitis syndrome (AES) is a significant public health issue in India, attributed to various etiologies. In eastern Uttar Pradesh, Japanese encephalitis (JE) was the leading cause of AES (10-14% of total AES) until scrub typhus (ST), caused by , was identified in cerebrospinal fluid and blood samples of AES patients contributing more than 60% of AES cases. This study investigates the prevalence of JE-ST coinfection and compares clinical outcomes among JE mono-infection, ST mono-infection, and JE-ST coinfection.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!