Literature DB >> 19172358

The evolution of tuberculosis virulence.

Sanjay Basu1, Alison P Galvani.   

Abstract

The evolution of Mycobacterium tuberculosis presents several challenges for public health. HIV and resistance to antimycobacterial medications have evolutionary implications for how Mycobacterium tuberculosis will evolve, as these factors influence the host environment and transmission dynamics of tuberculosis strains. We present an evolutionary invasion analysis of tuberculosis that characterizes the direction of tuberculosis evolution in the context of different natural and human-driven selective pressures, including changes in tuberculosis treatment and HIV prevalence. We find that the evolution of tuberculosis virulence can be affected by treatment success rates, the relative transmissibility of emerging strains, the rate of reactivation from latency among hosts, and the life expectancy of hosts. We find that the virulence of tuberculosis strains may also increase as a consequence of rising HIV prevalence, requiring faster case detection strategies in areas where the epidemics of HIV and tuberculosis collide.

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Year:  2009        PMID: 19172358     DOI: 10.1007/s11538-009-9394-x

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  8 in total

1.  When does pathogen evolution maximize the basic reproductive number in well-mixed host-pathogen systems?

Authors:  Michael H Cortez
Journal:  J Math Biol       Date:  2012-10-16       Impact factor: 2.259

Review 2.  Old and new selective pressures on Mycobacterium tuberculosis.

Authors:  Daniela Brites; Sebastien Gagneux
Journal:  Infect Genet Evol       Date:  2011-08-17       Impact factor: 3.342

Review 3.  Data needs for evidence-based decisions: a tuberculosis modeler's 'wish list'.

Authors:  D W Dowdy; C Dye; T Cohen
Journal:  Int J Tuberc Lung Dis       Date:  2013-07       Impact factor: 2.373

4.  The emergence of latent infection in the early evolution of Mycobacterium tuberculosis.

Authors:  Rebecca H Chisholm; Mark M Tanaka
Journal:  Proc Biol Sci       Date:  2016-05-25       Impact factor: 5.349

5.  Intensive Farming: Evolutionary Implications for Parasites and Pathogens.

Authors:  Adèle Mennerat; Frank Nilsen; Dieter Ebert; Arne Skorping
Journal:  Evol Biol       Date:  2010-07-29       Impact factor: 3.119

Review 6.  How can mathematical models advance tuberculosis control in high HIV prevalence settings?

Authors:  R M G J Houben; D W Dowdy; A Vassall; T Cohen; M P Nicol; R M Granich; J E Shea; P Eckhoff; C Dye; M E Kimerling; R G White
Journal:  Int J Tuberc Lung Dis       Date:  2014-05       Impact factor: 2.373

7.  Modeling the potential impact of host population survival on the evolution of M. tuberculosis latency.

Authors:  Nibiao Zheng; Christopher C Whalen; Andreas Handel
Journal:  PLoS One       Date:  2014-08-26       Impact factor: 3.240

8.  The impact of realistic age structure in simple models of tuberculosis transmission.

Authors:  Ellen Brooks-Pollock; Ted Cohen; Megan Murray
Journal:  PLoS One       Date:  2010-01-07       Impact factor: 3.240

  8 in total

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