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Mouse genetic model for clinical and immunological heterogeneity of leishmaniasis
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SYSNO ASEP 0109012 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Ostatní články Název Mouse genetic model for clinical and immunological heterogeneity of leishmaniasis Překlad názvu Myší genetický model pro klinickou a imunologickou heterogenitu leishmaniasis Tvůrce(i) 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)Zdroj.dok. Immunogenetics. - : Springer - ISSN 0093-7711
Roč. 54, č. 3 (2002), s. 174-183Poč.str. 10 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova Leishmaniasis ; mouse model ; complex disease Vědní obor RIV EC - Imunologie CEP NM28 GA MZd - Ministerstvo zdravotnictví GA310/00/0760 GA ČR - Grantová agentura ČR OK 394 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy CEZ AV0Z5052915 - UMG-J Anotace 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 Pracoviště Ústav molekulární genetiky Kontakt Nikol Škňouřilová, nikol.sknourilova@img.cas.cz, Tel.: 241 063 217 Rok sběru 2005
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