Literature DB >> 8920248

Models of the within-host dynamics of persistent mycobacterial infections.

R Antia1, J C Koella, V Perrot.   

Abstract

We use mathematical models to investigate the within-host dynamics of mycobacterial infections. In particular, we investigate the mechanisms by which bacteria such as Mycobacterium tuberculosis and Mycobacterium leprae persist at low densities for extended periods, and attain high densities much later. We suggest that the persistence of bacteria in face of immune pressure may result from the bacteria having a very slow growth rate, or having a dormant stage. We show that whereas these mechanisms may lead to long-term persistence, this will be obtained at relatively low densities. We then suggest that the long-term persistence of bacteria may result in the loss of immunity because of the deletion of specific T-cells arriving from the thymus, and the exhaustion of the specific T-cells as these cells reach the Hayflick limit and die. This loss of immunity will allow the bacteria to attain a high density. We propose experiments capable of testing our models and discuss the implications of the models for the treatment of infected hosts.

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Year:  1996        PMID: 8920248     DOI: 10.1098/rspb.1996.0040

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  12 in total

Review 1.  Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

Authors:  H M Davey; D B Kell
Journal:  Microbiol Rev       Date:  1996-12

2.  A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.

Authors:  Denise Kirschner; Elsje Pienaar; Simeone Marino; Jennifer J Linderman
Journal:  Curr Opin Syst Biol       Date:  2017-05-22

3.  Dynamic models of immune responses: what is the ideal level of detail?

Authors:  Juilee Thakar; Mary Poss; Réka Albert; Gráinne H Long; Ranran Zhang
Journal:  Theor Biol Med Model       Date:  2010-08-20       Impact factor: 2.432

4.  A bacterial cytokine.

Authors:  G V Mukamolova; A S Kaprelyants; D I Young; M Young; D B Kell
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-21       Impact factor: 11.205

5.  Novel methods for quantifying individual host response to infectious pathogens for genetic analyses.

Authors:  Andrea B Doeschl-Wilson; Steve C Bishop; Ilias Kyriazakis; Beatriz Villanueva
Journal:  Front Genet       Date:  2012-12-14       Impact factor: 4.599

Review 6.  Latent Tuberculosis: Models, Computational Efforts and the Pathogen's Regulatory Mechanisms during Dormancy.

Authors:  Gesham Magombedze; David Dowdy; Nicola Mulder
Journal:  Front Bioeng Biotechnol       Date:  2013-08-27

7.  Unravelling the relationship between animal growth and immune response during micro-parasitic infections.

Authors:  Andrea B Doeschl-Wilson; Will Brindle; Gerry Emmans; Ilias Kyriazakis
Journal:  PLoS One       Date:  2009-10-19       Impact factor: 3.240

8.  Evidence for positive selection on Mycobacterium tuberculosis within patients.

Authors:  Mark M Tanaka
Journal:  BMC Evol Biol       Date:  2004-09-09       Impact factor: 3.260

9.  Mathematical modelling of bacterial resistance to multiple antibiotics and immune system response.

Authors:  Bahatdin Daşbaşı; İlhan Öztürk
Journal:  Springerplus       Date:  2016-04-05

10.  Model-based inference from multiple dose, time course data reveals Wolbachia effects on infection profiles of type 1 dengue virus in Aedes aegypti.

Authors:  Caetano Souto-Maior; Gabriel Sylvestre; Fernando Braga Stehling Dias; M Gabriela M Gomes; Rafael Maciel-de-Freitas
Journal:  PLoS Negl Trop Dis       Date:  2018-03-20
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