SETTING: The availability and appropriate use of animal models is of significant importance for a better and more detailed understanding of the genetic, immunological and pathological mechanisms underlying the development of mycobacterial disease in humans. OBJECTIVE: To define a mouse model for tuberculosis severity that can be easily adapted to genetic and immunological analysis of host response to Mycobacterium tuberculosis infection. DESIGN: We describe here two inbred strains of mice, I/St and A/Sn (both Nramp1'), that differ vastly in commonly used parameters of susceptibility to infection with virulent and attenuated strains of M. tuberculosis. RESULTS: Following infection with a high dose of virulent H37Rv. M. tuberculosis and compared to their resistant A/Sn counterparts, I/St mice displayed more than a 2-fold shorter mean survival time and a more rapid onset and progression of severe body weight loss (cachexia). Moreover, I/St mice supported 20-100-fold higher multiplication of M. tuberculosis following challenge with H37Rv over a large range of infectious inocula. The high susceptibility of I/St mice was also reflected by more severe lung histopathology as evidenced by larger and more numerous lung granuloma and macrophage dominated cellular infiltrates. Finally, we determined that I/St are also unable to control infection with attenuated H37Ra M. tuberculosis and two strains of M. bovis (BCG and Ravenel) indicating hyper-susceptibility of the I/St mouse strain to mycobacterial infections. CONCLUSIONS: The results of our experiments suggest that comparative analysis of resistant A/Sn and susceptible I/St mice provides an ideal way to study host dependent aspects of tuberculosis susceptibility under the controlled conditions provided by an animal model.
SETTING: The availability and appropriate use of animal models is of significant importance for a better and more detailed understanding of the genetic, immunological and pathological mechanisms underlying the development of mycobacterial disease in humans. OBJECTIVE: To define a mouse model for tuberculosis severity that can be easily adapted to genetic and immunological analysis of host response to Mycobacterium tuberculosis infection. DESIGN: We describe here two inbred strains of mice, I/St and A/Sn (both Nramp1'), that differ vastly in commonly used parameters of susceptibility to infection with virulent and attenuated strains of M. tuberculosis. RESULTS: Following infection with a high dose of virulent H37Rv. M. tuberculosis and compared to their resistant A/Sn counterparts, I/St mice displayed more than a 2-fold shorter mean survival time and a more rapid onset and progression of severe body weight loss (cachexia). Moreover, I/St mice supported 20-100-fold higher multiplication of M. tuberculosis following challenge with H37Rv over a large range of infectious inocula. The high susceptibility of I/St mice was also reflected by more severe lung histopathology as evidenced by larger and more numerous lung granuloma and macrophage dominated cellular infiltrates. Finally, we determined that I/St are also unable to control infection with attenuated H37RaM. tuberculosis and two strains of M. bovis (BCG and Ravenel) indicating hyper-susceptibility of the I/St mouse strain to mycobacterial infections. CONCLUSIONS: The results of our experiments suggest that comparative analysis of resistant A/Sn and susceptible I/St mice provides an ideal way to study host dependent aspects of tuberculosis susceptibility under the controlled conditions provided by an animal model.
Authors: Lisa K Denzin; Aly A Khan; Francesca Virdis; Jessica Wilks; Melissa Kane; Helen A Beilinson; Stanislav Dikiy; Laure K Case; Derry Roopenian; Michele Witkowski; Alexander V Chervonsky; Tatyana V Golovkina Journal: Immunity Date: 2017-08-15 Impact factor: 31.745
Authors: J Turner; M Gonzalez-Juarrero; B M Saunders; J V Brooks; P Marietta; D L Ellis; A A Frank; A M Cooper; I M Orme Journal: Infect Immun Date: 2001-05 Impact factor: 3.441
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Authors: Irina V Lyadova; Evgeny N Tsiganov; Marina A Kapina; Galena S Shepelkova; Vasily V Sosunov; Tatiana V Radaeva; Konstantin B Majorov; Natalya S Shmitova; Henk-Jan van den Ham; Vitaly V Ganusov; Rob J De Boer; Rachael Racine; Gary M Winslow Journal: PLoS One Date: 2010-05-04 Impact factor: 3.240
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Authors: Fabio Sánchez; Tatiana V Radaeva; Boris V Nikonenko; Ann-Sophie Persson; Selim Sengul; Martin Schalling; Erwin Schurr; Alexander S Apt; Catharina Lavebratt Journal: Infect Immun Date: 2003-01 Impact factor: 3.441