Literature DB >> 19135063

A model of the complex response of Staphylococcus aureus to methicillin.

Elsje Pienaar1, Scott E Whitney, Hendrik J Viljoen, Nicolaas F J van Rensburg.   

Abstract

It is widely accepted that beta-lactam antimicrobials cause cell death through a mechanism that interferes with cell wall synthesis. Later studies have also revealed that beta-lactams modify the autolysis function (the natural process of self-exfoliation of the cell wall) of cells. The dynamic equilibrium between growth and autolysis is perturbed by the presence of the antimicrobial. Studies with Staphylococcus aureus to determine the minimum inhibitory concentration (MIC) have revealed complex responses to methicillin exposure. The organism exhibits four qualitatively different responses: homogeneous sensitivity, homogeneous resistance, heterogeneous resistance and the so-called 'Eagle-effect'. A mathematical model is presented that links antimicrobial action on the molecular level with the overall response of the cell population to antimicrobial exposure. The cell population is modeled as a probability density function F(x,t) that depends on cell wall thickness x and time t. The function F(x,t) is the solution to a Fokker-Planck equation. The fixed point solutions are perturbed by the antimicrobial load and the advection of F(x,t) depends on the rates of cell wall synthesis, autolysis and the antimicrobial concentration. Solutions of the Fokker-Planck model are presented for all four qualitative responses of S. aureus to methicillin exposure.

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Year:  2008        PMID: 19135063     DOI: 10.1016/j.jtbi.2008.12.003

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


  4 in total

1.  Modeling bacterial population growth from stochastic single-cell dynamics.

Authors:  Antonio A Alonso; Ignacio Molina; Constantinos Theodoropoulos
Journal:  Appl Environ Microbiol       Date:  2014-06-13       Impact factor: 4.792

2.  Synergistic activity of ceftobiprole and vancomycin in a rat model of infective endocarditis caused by methicillin-resistant and glycopeptide-intermediate Staphylococcus aureus.

Authors:  Jeffrey Fernandez; Darren Abbanat; Wenchi Shang; Wenping He; Karen Amsler; James Hastings; Anne Marie Queenan; John L Melton; Alfred M Barron; Robert K Flamm; A Simon Lynch
Journal:  Antimicrob Agents Chemother       Date:  2012-01-09       Impact factor: 5.191

Review 3.  What should be considered if you decide to build your own mathematical model for predicting the development of bacterial resistance? Recommendations based on a systematic review of the literature.

Authors:  Maria Arepeva; Alexey Kolbin; Alexey Kurylev; Julia Balykina; Sergey Sidorenko
Journal:  Front Microbiol       Date:  2015-04-29       Impact factor: 5.640

4.  Occurrence, distribution and pattern analysis of methicillin resistant (MRSA) and methicillin sensitive (MSSA) Staphylococcus aureus on fomites in public facilities.

Authors:  Ziad W Jaradat; Maysoon Khwaileh; Waseem Al Mousa; Qutaiba O Ababneh; Anas Al Nabulsi
Journal:  Pathog Glob Health       Date:  2021-08-02       Impact factor: 3.735

  4 in total

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