Literature DB >> 24467935

Mathematical modeling on bacterial resistance to multiple antibiotics caused by spontaneous mutations.

Eduardo Ibargüen-Mondragón1, Saulo Mosquera2, Miller Cerón2, Edith Mariela Burbano-Rosero3, Sandra P Hidalgo-Bonilla4, Lourdes Esteva5, Jhoana P Romero-Leitón6.   

Abstract

We formulate a mathematical model that describes the population dynamics of bacteria exposed to multiple antibiotics simultaneously, assuming that acquisition of resistance is through mutations due to antibiotic exposure. Qualitative analysis reveals the existence of a free-bacteria equilibrium, resistant-bacteria equilibrium and an endemic equilibrium where both bacteria coexist.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Antibiotics; Bacterial resistance; Equilibrium solutions; Ordinary differential equations

Mesh:

Substances:

Year:  2014        PMID: 24467935     DOI: 10.1016/j.biosystems.2014.01.005

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  5 in total

Review 1.  Multiplicity of Mathematical Modeling Strategies to Search for Molecular and Cellular Insights into Bacteria Lung Infection.

Authors:  Martina Cantone; Guido Santos; Pia Wentker; Xin Lai; Julio Vera
Journal:  Front Physiol       Date:  2017-08-30       Impact factor: 4.566

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

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

3.  In silico analysis of antibiotic-induced Clostridium difficile infection: Remediation techniques and biological adaptations.

Authors:  Eric W Jones; Jean M Carlson
Journal:  PLoS Comput Biol       Date:  2018-02-16       Impact factor: 4.475

4.  Send more data: a systematic review of mathematical models of antimicrobial resistance.

Authors:  Anna Camilla Birkegård; Tariq Halasa; Nils Toft; Anders Folkesson; Kaare Græsbøll
Journal:  Antimicrob Resist Infect Control       Date:  2018-09-29       Impact factor: 4.887

5.  Modification of empirical antimicrobial regimens in large animal medicine.

Authors:  Laurel Redding; Haley Grunwald; Stephen Cole; Shelley Rankin; Rose Nolen-Walston
Journal:  Vet Rec       Date:  2020-09-29       Impact factor: 2.695

  5 in total

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