Literature DB >> 17585944

Incorporating toxin hypothesis into a mathematical model of persister formation and dynamics.

N G Cogan1.   

Abstract

Biofilms are well known for their extreme tolerance to antibiotics. Recent experimental evidence has indicated the existence of a small fraction of specialized persister cells may be responsible for this tolerance. Although persister cells seem to exist in planktonic bacterial populations, within a biofilm the additional protection offered by the polymeric matrix allows persister cells to evade elimination and serve as a source for re-population. Whether persister cells develop through interactions with toxin/antitoxin modules or are senescent bacteria is an open question. In this investigation we contrast results of the analysis of a mathematical model of the toxin/antitoxin hypothesis for bacteria in a chemostat with results incorporating the senescence hypothesis. We find that the persister fraction of the population as a function of washout rate provides a viable distinction between the two hypotheses. We also give simulation results that indicate that a strategy of alternating dose/withdrawal disinfection can be effective in clearing the entire persister and susceptible populations of bacteria. This strategy was considered previously in analysis of a generic model of persister formation. We find that extending the model of persister formation to include the toxin/antitoxin interactions in a chemostat does not alter the qualitative results that success of the dosing strategy depends on the withdrawal time. While this treatment is restricted to planktonic bacterial populations, it serves as a framework for including persister cells in a spatially dependent biofilm model.

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Year:  2007        PMID: 17585944     DOI: 10.1016/j.jtbi.2007.05.021

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  8 in total

1.  Optimal control strategies for disinfection of bacterial populations with persister and susceptible dynamics.

Authors:  N G Cogan; Jason Brown; Kyle Darres; Katherine Petty
Journal:  Antimicrob Agents Chemother       Date:  2012-07-02       Impact factor: 5.191

2.  Failure of antibiotic treatment in microbial populations.

Authors:  Patrick De Leenheer; N G Cogan
Journal:  J Math Biol       Date:  2008-12-16       Impact factor: 2.259

3.  Molecular mechanisms of multiple toxin-antitoxin systems are coordinated to govern the persister phenotype.

Authors:  Rick A Fasani; Michael A Savageau
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-18       Impact factor: 11.205

4.  Senescence and antibiotic resistance in an age-structured population model.

Authors:  Patrick De Leenheer; Jack Dockery; Tomás Gedeon; Sergei S Pilyugin
Journal:  J Math Biol       Date:  2009-11-12       Impact factor: 2.259

Review 5.  Continuum and discrete approach in modeling biofilm development and structure: a review.

Authors:  M R Mattei; L Frunzo; B D'Acunto; Y Pechaud; F Pirozzi; G Esposito
Journal:  J Math Biol       Date:  2017-07-24       Impact factor: 2.259

6.  Unrelated toxin-antitoxin systems cooperate to induce persistence.

Authors:  Rick A Fasani; Michael A Savageau
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

7.  Reaction-diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections.

Authors:  Philip S Stewart; Tianyu Zhang; Ruifang Xu; Betsey Pitts; Marshall C Walters; Frank Roe; Judith Kikhney; Annette Moter
Journal:  NPJ Biofilms Microbiomes       Date:  2016-06-22       Impact factor: 7.290

8.  Mathematical modelling of the antibiotic-induced morphological transition of Pseudomonas aeruginosa.

Authors:  Chloe Spalding; Emma Keen; David J Smith; Anne-Marie Krachler; Sara Jabbari
Journal:  PLoS Comput Biol       Date:  2018-02-26       Impact factor: 4.475

  8 in total

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