Literature DB >> 11292749

Immunological basis for reactivation of tuberculosis in mice.

J Turner1, M Gonzalez-Juarrero, B M Saunders, J V Brooks, P Marietta, D L Ellis, A A Frank, A M Cooper, I M Orme.   

Abstract

In this study different inbred strains of mice appeared to control and contain a low dose aerosol infection with Mycobacterium tuberculosis in a similar manner, giving rise to a chronic state of disease. Thereafter, however, certain strains gradually began to show evidence of regrowth of the infection, whereas others consistently did not. Using C57BL/6 mice as an example of a resistant strain and CBA/J mice as an example of a strain susceptible to bacterial growth, we found that these animals revealed distinct differences in the cellular makeup of lung granulomas. The CBA/J mice exhibited a generally poor lymphocyte response within the lungs and vastly increased degenerative pathology at a time associated with regrowth of the infection. As a possible explanation for these events, it was then observed that the CBA/J mouse strain was also less able to upregulate adhesion molecules, including CD11a and CD54, on circulating lymphocytes. These results therefore suggest that a failure to control a chronic infection with M. tuberculosis may reflect an inability to localize antigen-specific lymphocytes within the lung.

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Year:  2001        PMID: 11292749      PMCID: PMC98285          DOI: 10.1128/IAI.69.5.3264-3270.2001

Source DB:  PubMed          Journal:  Infect Immun        ISSN: 0019-9567            Impact factor:   3.441


  29 in total

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Journal:  Lancet       Date:  1996-07-06       Impact factor: 79.321

Review 2.  Adhesion receptors of the immune system.

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Authors:  J P Griffin; I M Orme
Journal:  Infect Immun       Date:  1994-05       Impact factor: 3.441

Review 4.  Traffic signals for lymphocyte recirculation and leukocyte emigration: the multistep paradigm.

Authors:  T A Springer
Journal:  Cell       Date:  1994-01-28       Impact factor: 41.582

Review 5.  The immunogenetics of human infectious diseases.

Authors:  A V Hill
Journal:  Annu Rev Immunol       Date:  1998       Impact factor: 28.527

6.  The Nramp1 antimicrobial resistance gene segregates independently of resistance to virulent Mycobacterium tuberculosis.

Authors:  E Medina; B J Rogerson; R J North
Journal:  Immunology       Date:  1996-08       Impact factor: 7.397

7.  Distinct roles of L-selectin and integrins alpha 4 beta 7 and LFA-1 in lymphocyte homing to Peyer's patch-HEV in situ: the multistep model confirmed and refined.

Authors:  R F Bargatze; M A Jutila; E C Butcher
Journal:  Immunity       Date:  1995-07       Impact factor: 31.745

8.  Aging and immunity to tuberculosis: increased susceptibility of old mice reflects a decreased capacity to generate mediator T lymphocytes.

Authors:  I M Orme
Journal:  J Immunol       Date:  1987-06-15       Impact factor: 5.422

9.  Racial differences in susceptibility to infection by Mycobacterium tuberculosis.

Authors:  W W Stead; J W Senner; W T Reddick; J P Lofgren
Journal:  N Engl J Med       Date:  1990-02-15       Impact factor: 91.245

10.  Evidence inconsistent with a role for the Bcg gene (Nramp1) in resistance of mice to infection with virulent Mycobacterium tuberculosis.

Authors:  E Medina; R J North
Journal:  J Exp Med       Date:  1996-03-01       Impact factor: 14.307

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  30 in total

1.  Anamnestic responses of mice following Mycobacterium tuberculosis infection.

Authors:  Arati B Kamath; Samuel M Behar
Journal:  Infect Immun       Date:  2005-09       Impact factor: 3.441

2.  CBA/J mice generate protective immunity to soluble Ag85 but fail to respond efficiently to Ag85 during natural Mycobacterium tuberculosis infection.

Authors:  Gillian L Beamer; Joshua Cyktor; David K Flaherty; Paul C Stromberg; Bridget Carruthers; Joanne Turner
Journal:  Eur J Immunol       Date:  2012-04       Impact factor: 5.532

3.  Failure to recruit anti-inflammatory CD103+ dendritic cells and a diminished CD4+ Foxp3+ regulatory T cell pool in mice that display excessive lung inflammation and increased susceptibility to Mycobacterium tuberculosis.

Authors:  Chaniya Leepiyasakulchai; Lech Ignatowicz; Andrzej Pawlowski; Gunilla Källenius; Markus Sköld
Journal:  Infect Immun       Date:  2012-01-03       Impact factor: 3.441

4.  Bone marrow mesenchymal stem cells provide an antibiotic-protective niche for persistent viable Mycobacterium tuberculosis that survive antibiotic treatment.

Authors:  Gillian Beamer; Samuel Major; Bikul Das; Antonio Campos-Neto
Journal:  Am J Pathol       Date:  2014-10-16       Impact factor: 4.307

5.  Mice fed lipid-encapsulated Mycobacterium bovis BCG are protected against aerosol challenge with Mycobacterium tuberculosis.

Authors:  Frank E Aldwell; Lise Brandt; Clare Fitzpatrick; Ian M Orme
Journal:  Infect Immun       Date:  2005-03       Impact factor: 3.441

6.  H-2 alleles contribute to antigen 85-specific interferon-gamma responses during Mycobacterium tuberculosis infection.

Authors:  Gillian L Beamer; Joshua Cyktor; Bridget Carruthers; Joanne Turner
Journal:  Cell Immunol       Date:  2011-06-12       Impact factor: 4.868

7.  SWR mice are highly susceptible to pulmonary infection with Mycobacterium tuberculosis.

Authors:  Oliver C Turner; Robert G Keefe; Isamu Sugawara; Hiroyuki Yamada; Ian M Orme
Journal:  Infect Immun       Date:  2003-09       Impact factor: 3.441

8.  Widespread bronchogenic dissemination makes DBA/2 mice more susceptible than C57BL/6 mice to experimental aerosol infection with Mycobacterium tuberculosis.

Authors:  Pere-Joan Cardona; Sergi Gordillo; Jorge Díaz; Gustavo Tapia; Isabel Amat; Angeles Pallarés; Cristina Vilaplana; Aurelio Ariza; Vicenç Ausina
Journal:  Infect Immun       Date:  2003-10       Impact factor: 3.441

9.  A Mycobacterium tuberculosis Rpf double-knockout strain exhibits profound defects in reactivation from chronic tuberculosis and innate immunity phenotypes.

Authors:  Eleanor Russell-Goldman; Jiayong Xu; Xiaobing Wang; John Chan; JoAnn M Tufariello
Journal:  Infect Immun       Date:  2008-06-30       Impact factor: 3.441

10.  An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation).

Authors:  Martin J Aryee; José A Gutiérrez-Pabello; Igor Kramnik; Tapabrata Maiti; John Quackenbush
Journal:  BMC Bioinformatics       Date:  2009-12-10       Impact factor: 3.169

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