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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Clinical chemistry of congenic mice with quantitative trait loci for predicted responses to Trypanosoma congolense infection
Infection and Immunity, Volume 77, No. 9, Year 2009
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Description
Trypanosoma congolense is a protozoan parasite that causes severe diseases in livestock. Three major quantative trait loci (QTL), Tir1, Tir2, and Tir3, control the survival time of mice after infection with T. congolense. Congenic mice carrying the C57BL/6 resistance alleles on the A/J background were developed for each of these loci. The congenic mice were used to physically map the regions containing the QTL gene(s) and to investigate the physiological effect of each locus. Clinical chemistry data for infected A/J, C57BL/6, and BALB/c mice were obtained for 15 analytes at five time points. Congenic mice were assessed for survival, parasitemia, and anemia as well as seven clinical-chemical analytes. The survival times were significantly increased in the Tir1 and Tir2 mice but not Tir3 congenic mice. The survival time of the parental inbred mice correlated negatively with parasitemia but positively with alanine aminotransferase activities in serum, suggesting that inflammatory reactions in the liver had a beneficial effect possibly associated with reduced parasitemia. However, there was no difference in parasitemia or liver enzyme activities of Tir1 and Tir2 congenic mice relative to their controls, showing that survival, parasitemia, and degree of liver damage are not associated with each other, despite the correlation in the parental lines. These data suggest that the congenic loci affect survival but do not affect control of parasite number. They may therefore act by limiting the pathological consequences of T. congolense infection. Copyright © 2009, American Society for Microbiology. All Rights Reserved.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC2738039/bin/supp_77_9_3948__index.html
https://efashare.b-cdn.net/share/pmc/articles/PMC2738039/bin/supp_77_9_3948__SupplementaryDataGenotypes.zip
https://efashare.b-cdn.net/share/pmc/articles/PMC2738039/bin/supp_77_9_3948__SupplementaryDataClinicalChemistry.doc
Authors & Co-Authors
Rathkolb, Birgit
Germany, Oberschleissheim
Helmholtz Center Munich German Research Center for Environmental Health
Germany, Munich
Ludwig-maximilians-universität München
Noyes, Harry A.
United Kingdom, Liverpool
University of Liverpool
Brass, A.
United Kingdom, Manchester
The University of Manchester
Dark, Paul Michael
United Kingdom, Manchester
The University of Manchester
Fuchs, Helmut
Germany, Oberschleissheim
Helmholtz Center Munich German Research Center for Environmental Health
Gailus-Durner, Valérie
Germany, Oberschleissheim
Helmholtz Center Munich German Research Center for Environmental Health
Gibson, J. P.
Kenya, Nairobi
International Livestock Research Institute Nairobi
Australia, Armidale
University of new England Australia
de Angelis, Martin Hrabé
Germany, Oberschleissheim
Helmholtz Center Munich German Research Center for Environmental Health
Germany, Munich
Technische Universität München
Ogugo, Moses
Kenya, Nairobi
International Livestock Research Institute Nairobi
Iraqi, Fuad A.
Kenya, Nairobi
International Livestock Research Institute Nairobi
Israel, Tel Aviv-yafo
Tel Aviv University
Kemp, Stephen J.
Kenya, Nairobi
International Livestock Research Institute Nairobi
United Kingdom, Liverpool
University of Liverpool
Naessens, Jan
Kenya, Nairobi
International Livestock Research Institute Nairobi
Pope, Mathew E.
Kenya, Nairobi
International Livestock Research Institute Nairobi
Canada, Victoria
University of Victoria
Wolf, Eckhard
Germany, Munich
Ludwig-maximilians-universität München
Agaba, Morris K.
Kenya, Nairobi
International Livestock Research Institute Nairobi
Statistics
Citations: 15
Authors: 15
Affiliations: 9
Identifiers
Doi:
10.1128/IAI.00658-09
ISSN:
00199567
e-ISSN:
10985522
Research Areas
Genetics And Genomics
Study Approach
Quantitative