Simple models of antibiotic cycling
Simple models of antibiotic cycling
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DOI：
10.1093/imammb/dqi002
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发表时间：
2005-06-01
影响因子：
1.1
通讯作者：
Reluga, TC
中科院分区：
文献类型：
--
作者：
Reluga, TC
利用环境异质性是管理生物系统的一种古老但潜在的强大方法。确定环境异质性的最佳形式是一个难题。在医学界受到关注的一个异质性管理策略家族是抗生素使用的周期性循环，以控制抗生素耐药性。本文提出了一个理论的抗生素循环的优化的基础上，一个密度无关的传播和移民的进化静态菌株的模型。在两种病原体菌株的情况下，我表明，人口的渐近增长率是一个单调递增的函数的振荡周期在某些常见的假设。Monte Carlo模拟表明，这一结果在更一般的设置中失败，但表明抗生素循环很少提供比替代混合实践的显着改善。结果支持了其他研究人员的发现，即抗生素循环并不比理想化的传统实践具有显着优势。然而，在某些特殊情况下，循环策略可能更可取。
The use of environmental heterogeneity is an old but potentially powerful method for managing biological systems. Determining the optimal form of environmental heterogeneity is a difficult problem. One family of heterogeneous management strategies that has received attention in the medical community is the periodic cycling of antibiotic usage to control antibiotic resistance. This paper presents a theory for the optimization of antibiotic cycling based on a density-independent model of transmission and immigration of evolutionarily static strains. In the case of two pathogen strains, I show that the population's asymptotic growth rate is a monotonically increasing function of the oscillation period under certain common assumptions. Monte Carlo simulations show that this result fails in more general settings, but suggest that antibiotic cycling seldom provides a significant improvement over alternative mixing practices. The results support the findings of other researchers that antibiotic cycling does not offer significant advantages over idealized conventional practice. However, cycling strategies may be preferable in some special cases.