Literature DB >> 20378051

Experimental models used to study human tuberculosis.

Ronan O'Toole1.   

Abstract

Mycobacterium tuberculosis causes more deaths in humans than any other bacterial pathogen. The most recent data from the World Health Organization reveal that over 9million new cases of tuberculosis occur each year and that the incidence appears to be increasing with population growth. Despite the global burden of tuberculosis, we are still reliant on relatively dated measures to prevent, diagnose, and treat the disease. New, more effective tools are needed to diminish the incidence of tuberculosis. M. tuberculosis lacks a natural host beyond humans and, hence, surrogate models have been employed in the study of the pathogen. The discovery and development of new vaccines, diagnostics, or antitubercular drugs are dependent upon the validity of any experimental model used and its relevance to tuberculosis in humans. In this review, a range of experimental models, from in vitro studies with fast-growing low-pathogenic species of mycobacteria to the infection of nonhuman primates with virulent M. tuberculosis, will be discussed. Copyright (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20378051     DOI: 10.1016/S0065-2164(10)71003-0

Source DB:  PubMed          Journal:  Adv Appl Microbiol        ISSN: 0065-2164            Impact factor:   5.086


  12 in total

1.  Strain-dependent CNS dissemination in guinea pigs after Mycobacterium tuberculosis aerosol challenge.

Authors:  Nicholas A Be; Lee G Klinkenberg; William R Bishai; Petros C Karakousis; Sanjay K Jain
Journal:  Tuberculosis (Edinb)       Date:  2011-08-09       Impact factor: 3.131

2.  No significant impact of IFN-γ pathway gene variants on tuberculosis susceptibility in a West African population.

Authors:  Christian G Meyer; Christopher D Intemann; Birgit Förster; Ellis Owusu-Dabo; Andre Franke; Rolf D Horstmann; Thorsten Thye
Journal:  Eur J Hum Genet       Date:  2015-08-05       Impact factor: 4.246

3.  Detection of inhibitors of phenotypically drug-tolerant Mycobacterium tuberculosis using an in vitro bactericidal screen.

Authors:  Ian M Bassett; Shichun Lun; William R Bishai; Haidan Guo; Joanna R Kirman; Mudassar Altaf; Ronan F O'Toole
Journal:  J Microbiol       Date:  2013-06-25       Impact factor: 3.422

Review 4.  Evolutionary Aspects of Macrophages Polarization.

Authors:  Eva-Stina Edholm; Kun Hyoe Rhoo; Jacques Robert
Journal:  Results Probl Cell Differ       Date:  2017

5.  A high-throughput screen for tuberculosis progression.

Authors:  Ralph Carvalho; Jan de Sonneville; Oliver W Stockhammer; Nigel D L Savage; Wouter J Veneman; Tom H M Ottenhoff; Ron P Dirks; Annemarie H Meijer; Herman P Spaink
Journal:  PLoS One       Date:  2011-02-16       Impact factor: 3.240

6.  Adjunctive Phosphodiesterase-4 Inhibitor Therapy Improves Antibiotic Response to Pulmonary Tuberculosis in a Rabbit Model.

Authors:  Selvakumar Subbian; Liana Tsenova; Jennifer Holloway; Blas Peixoto; Paul O'Brien; Véronique Dartois; Vikram Khetani; Jerome B Zeldis; Gilla Kaplan
Journal:  EBioMedicine       Date:  2016-01-14       Impact factor: 8.143

7.  Rv0132c of Mycobacterium tuberculosis encodes a coenzyme F420-dependent hydroxymycolic acid dehydrogenase.

Authors:  Endang Purwantini; Biswarup Mukhopadhyay
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

Review 8.  Human genetics of tuberculosis: a long and winding road.

Authors:  Laurent Abel; Jamila El-Baghdadi; Ahmed Aziz Bousfiha; Jean-Laurent Casanova; Erwin Schurr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-05-12       Impact factor: 6.237

Review 9.  Protection and pathology in TB: learning from the zebrafish model.

Authors:  Annemarie H Meijer
Journal:  Semin Immunopathol       Date:  2015-09-01       Impact factor: 9.623

10.  Quantifying Limits on Replication, Death, and Quiescence of Mycobacterium tuberculosis in Mice.

Authors:  Margaret M McDaniel; Nitin Krishna; Winode G Handagama; Shigetoshi Eda; Vitaly V Ganusov
Journal:  Front Microbiol       Date:  2016-06-14       Impact factor: 5.640

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