Cytokine storms and pyroptosis are primarily responsible for the rapid death of mice infected with pseudorabies virus
Cite this dataset
Sun, Wei et al. (2021). Cytokine storms and pyroptosis are primarily responsible for the rapid death of mice infected with pseudorabies virus [Dataset]. Dryad. https://doi.org/10.5061/dryad.zw3r2287j
Abstract
Pseudorabies virus (PRV) , the causative agent of Aujeszky’s disease (AD), is one of the most harmful pathogens to the pig industry. PRV can infect and kill a variety of mammals. Nevertheless, the underlying pathogenesis related to PRV is still unclear. This study aims to investigate the pathogenesis induced by PRV in a mouse model. The mice infected with the PRV-HLJ strain were developed severe clinical manifestations at 36 hour post-infection (hpi), and mortality occurred within 48-72 hpi. Hematoxylin-eosin staining and qRT-PCR methods were used to detect the pathological damage and expression of cytokines related to immune reaction in brain tissue, respectively. The cytokine storms caused by IFN-α, IFN-β, TNF-α, IL-1β, IL-6 and IL-18 were related to the histopathological changes induced by PRV. This pattern of cytokine secretion depicts an image of typical cytokine storms, characterized by dysregulated secretion of pro-inflammatory cytokines and imbalanced pro-inflammatory and anti-inflammatory responses. In addition, the pyroptosis pathway was also activated by PRV by elevating the expression levels of nod-like receptor protein 3, caspase-1, gasdermin-D and interleukin-1β/18. These findings provide a way for further understanding the molecular basis in PRV pathogenesis.
Methods
SPSS22.0 software was used to data analyses. One-way analysis of variance (ANOVA) package in SPSS 22.0 was used to evaluate the statistical significances between PRV and control group. GraphPad Prism6.0 software was used to perform statistical artworks.
Funding
Guizhou Provincial Science and Technology Department, Award: [2019]1456
Tongren Science and Technology Planing Project, Award: [2019]12-6
Tongren Science and Technology Planing Project, Award: [2019]12-6