Modeling Non-inherited Antibiotic Resistance

被引：0
|
作者：
M. C. J. Bootsma
M. A. van der Horst
T. Guryeva
B. H. ter Kuile
O. Diekmann
机构：
[1] Utrecht University,Faculty of Science, Department of Mathematics
[2] University Medical Center Utrecht,Julius Center for Health Research & Primary Care
[3] University of Amsterdam,Laboratory for Molecular Biology and Microbial Food Safety, Swammerdam Institute of Life Sciences
[4] Netherlands Food and Consumer Product Safety Authority,Office for Risk Assessment
来源：
Bulletin of Mathematical Biology | 2012年 / 74卷
关键词：
Mathematical model; Markov Chain Monte Carlo; Non-inherited resistance;
D O I：
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中图分类号：
学科分类号：
摘要：
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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页码：1691 / 1705
页数：14
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