| First Author | Chessler AD | Year | 2011 |
| Journal | Infect Immun | Volume | 79 |
| Issue | 5 | Pages | 2112-9 |
| PubMed ID | 21402764 | Mgi Jnum | J:171935 |
| Mgi Id | MGI:5002417 | Doi | 10.1128/IAI.01176-10 |
| Citation | Chessler AD, et al. (2011) Type I Interferons Increase Host Susceptibility to Trypanosoma cruzi Infection. Infect Immun 79(5):2112-9 |
| abstractText | Trypanosoma cruzi, the protozoan parasite that causes human Chagas' disease, induces a type I interferon (IFN) (IFN-alpha/beta) response during acute experimental infection in mice and in isolated primary cell types. To examine the potential impact of the type I IFN response in shaping outcomes in experimental T. cruzi infection, groups of wild-type (WT) and type I IFN receptor-deficient (IFNAR(-/-)) 129sv/ev mice were infected with two different T. cruzi strains under lethal and sublethal conditions and several parameters were measured during the acute stage of infection. The results demonstrate that type I IFNs are not required for early host protection against T. cruzi. In contrast, under conditions of lethal T. cruzi challenge, WT mice succumbed to infection whereas IFNAR(-/-) mice were ultimately able to control parasite growth and survive. T. cruzi clearance in and survival of IFNAR(-/-) mice were accompanied by higher levels of IFN-gamma production by isolated splenocytes in response to parasite antigen. The suppression of IFN-gamma in splenocytes from WT mice was independent of IL-10 levels. While the impact of type I IFNs on the production of IFN-gamma and other cytokines/chemokines remains to be fully determined in the context of T. cruzi infection, our data suggest that, under conditions of high parasite burden, type I IFNs negatively impact IFN-gamma production, initiating a detrimental cycle that contributes to the ultimate failure to control infection. These findings are consistent with a growing theme in the microbial pathogenesis field in which type I IFNs can be detrimental to the host in a variety of nonviral pathogen infection models. |
