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Mouse genetic model for clinical and immunological heterogeneity of leishmaniasis
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SYSNO ASEP 0109012 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Mouse genetic model for clinical and immunological heterogeneity of leishmaniasis Title Myší genetický model pro klinickou a imunologickou heterogenitu leishmaniasis Author(s) Lipoldová, Marie (UMG-J) RID
Svobodová, M. (CZ)
Havelková, Helena (UMG-J)
Krulová, Magdalena (UMG-J)
Badalová, Jana (UMG-J)
Nohýnková, E. (CZ)
Hart, A. A. M. (NL)
Schlegel, David (UMG-J)
Volf, P. (CZ)
Demant, P. (NL)Source Title Immunogenetics. - : Springer - ISSN 0093-7711
Roč. 54, č. 3 (2002), s. 174-183Number of pages 10 s. Language eng - English Country US - United States Keywords Leishmaniasis ; mouse model ; complex disease Subject RIV EC - Immunology R&D Projects NM28 GA MZd - Ministry of Health (MZ) GA310/00/0760 GA ČR - Czech Science Foundation (CSF) OK 394 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z5052915 - UMG-J Annotation 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 Workplace Institute of Molecular Genetics Contact Nikol Škňouřilová, nikol.sknourilova@img.cas.cz, Tel.: 241 063 217 Year of Publishing 2005
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