Modeling non-inherited antibiotic resistance

M.C.J. Bootsma; M.A. van der Horst; T. Gurieva; B.H. ter Kuile; O. Diekmann

doi:10.1007/s11538-012-9731-3

Modeling non-inherited antibiotic resistance

M.C.J. Bootsma, M.A. van der Horst, T. Gurieva, B.H. ter Kuile, O. Diekmann

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Abstract

A mathematical model is presented for the increase and decrease of non-inherited antibiotic resistance levels in bacteria. The model is applied to experimental data on E. coli exposed to amoxicillin or tetracyclin in different concentrations. The parameters of the model are estimated using a Monte Carlo Markov Chain method. The model accurately describes build-up and decline of antibiotic resistance caused by physiological adaptations as long as no genetic changes have occurred. The main conclusion of the analysis is that short time periods are sufficient to re-obtain low MIC-values after long-lasting exposure to these antibiotics.

Original language	English
Pages (from-to)	1691-1705
Number of pages	15
Journal	Bulletin of Mathematical Biology
Volume	74
Issue number	8
DOIs	https://doi.org/10.1007/s11538-012-9731-3
Publication status	Published - 2012

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AU - Diekmann, O.

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AB - A mathematical model is presented for the increase and decrease of non-inherited antibiotic resistance levels in bacteria. The model is applied to experimental data on E. coli exposed to amoxicillin or tetracyclin in different concentrations. The parameters of the model are estimated using a Monte Carlo Markov Chain method. The model accurately describes build-up and decline of antibiotic resistance caused by physiological adaptations as long as no genetic changes have occurred. The main conclusion of the analysis is that short time periods are sufficient to re-obtain low MIC-values after long-lasting exposure to these antibiotics.

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Modeling non-inherited antibiotic resistance

Abstract

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