Mouse genetic model for clinical and immunological heterogeneity of leishmaniasis
Language English Country United States Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Cytokines blood MeSH
- Species Specificity MeSH
- Genetic Predisposition to Disease MeSH
- Genetic Variation MeSH
- Immunoglobulin E blood MeSH
- Kinetics MeSH
- Leishmania major MeSH
- Leishmaniasis genetics immunology pathology MeSH
- Models, Genetic MeSH
- Disease Models, Animal * MeSH
- Mice, Inbred BALB C MeSH
- Mice, Congenic genetics immunology MeSH
- Mice MeSH
- Animals MeSH
- Check Tag
- Mice MeSH
- Female MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Cytokines MeSH
- Immunoglobulin E MeSH
Systematic assessment of the role of host genes in clinico-pathological and immunological manifestations of Leishmania major-induced disease in mice was performed using 20 recombinant congenic (RC) strains. As the RC strains are homozygous and each carries a different, random set of 12.5% genes from the resistant strain, STS/A, and 87.5% genes from the susceptible strain, BALB/cHeA, they allowed us to study the pathological and immunological characteristics of infected hosts in 20 fixed different random combinations of BALB/c and STS genes. The 20 RC strains differ widely in expression of different symptoms of disease and in immunological characteristics. Disease or healing in different strains occurred in association with different components of immune response -- with the exception of a frequently occurring correlation between the disease and IgE levels. Moreover, some parameters of the immune response were highly correlated in some strains but not at all in others. This shows that several patterns of the immune response may be associated with the same clinical outcome, depending on the host genotype. Our data also suggest that despite the complexity of regulation, when a sufficient number of controlling loci is known, the prediction of a phenotype is possible. Combining functional and clinical information with multilocus genotyping may improve our ability to predict the progression of the disease and to optimize the treatment.
References provided by Crossref.org
Effects of Leishmania major infection on the gut microbiome of resistant and susceptible mice
Genetic Influence on Frequencies of Myeloid-Derived Cell Subpopulations in Mouse
Genetic Regulation of Guanylate-Binding Proteins 2b and 5 during Leishmaniasis in Mice
Gene-specific sex effects on eosinophil infiltration in leishmaniasis
Mapping the genes for susceptibility and response to Leishmania tropica in mouse
Genetic control of resistance to Trypanosoma brucei brucei infection in mice
Different genetic control of cutaneous and visceral disease after Leishmania major infection in mice