Defects in the CD8+ T cell response to arthritogenic alphaviruses

Autor: Christopher B Bullock, Bennett J Davenport, Thomas E Morrison, Mark J Miller, Michael S Diamond
Rok vydání: 2021
Předmět:
Zdroj: The Journal of Immunology. 206:103.29-103.29
ISSN: 1550-6606
0022-1767
DOI: 10.4049/jimmunol.206.supp.103.29
Popis: Arthritogenic alphaviruses have infected millions of people globally. Following acute infection, symptoms of joint pain, swelling, and stiffness can last for months or even years, likely due to persistence of viral RNA and antigen, which also is seen in mice. Intriguingly, wild-type and CD8−/− mice show a similar lack of clearance of viral RNA. Despite this, a mechanism for this CD8+ T cell evasion has not been identified. We hypothesized that there are defects in the generation, function, and migration of the CD8+ T cells after infection with Ross River virus (RRV), a prototype, arthritogenic alphavirus. To study the antigen-specific response, we used a genetically modified RRV expressing the lymphocytic choriomeningitis virus (LCMV)-derived gp33 peptide. Compared to LCMV infection, in which CD8+ T cells are required for viral clearance, RRV infection generates fewer gp33-specific CD8+ T cells in the spleen and draining lymph node, especially at early times after infection. Antigen-specific CD8+ T cells from the draining lymph node at 5 days after RRV infection express much less granzyme B than in LCMV-infected mice. In vivo cytolysis assays showed a qualitative difference in CD8+ T cell killing of targets especially when variant peptides were used for pulsing. Finally, intravital imaging revealed that while both RRV and LCMV infection recruit CD8+ T cells and retain them in an antigen specific manner near infected cells, CD8+ T cells appear to have less contact with RRV than LCMV-infected cells. Identification of a specific defect in the CD8+ T cell response to arthritogenic alphaviruses would increase our understanding of viral immune evasion and provide a target for therapy of these debilitating infections.
Databáze: OpenAIRE
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