Institut National de la Santé et de la Recherche Médicale, U1047, Université Montpellier 1, UFR de Médecine 30908 Nîmes Cedex 08, France.
BMC Med. 2012 Aug 13;10:90. doi: 10.1186/1741-7015-10-90.
Over the past few decades, the emergence of multidrug resistance (MDR) to antibiotics in bacteria has led to major difficulties in the management of infected patients. At present, there is a serious lack of development of new antibacterial agents. Mathematical models are one approach to understand how antibiotic usage patterns may be optimized. However, the classical approach to modeling the emergence of MDR relies on the simplifying assumption that resistance is acquired at a constant rate. In their model, Obolski and Hadany introduce the notion of horizontal gene transfer and stress-induced mutation, with antibiotics constituting an environmental stressor of particular relevance. Finally, from this complex mathematical model, the authors propose predictions for minimizing MDR in bacteria depending on strategies of antibiotic treatment. Please see related article: http://www.biomedcentral.com/1741-7015/10/89.
在过去的几十年中，细菌对抗生素的多药耐药性（MDR）的出现给感染患者的治疗带来了重大困难。目前，新抗菌药物的开发严重不足。数学模型是理解抗生素使用模式如何优化的一种方法。然而，经典的 MDR 出现模型依赖于一个简化的假设，即耐药性以恒定的速度获得。在他们的模型中，Obolski 和 Hadany 引入了水平基因转移和应激诱导突变的概念，抗生素构成了特别相关的环境应激源。最后，作者从这个复杂的数学模型中提出了根据抗生素治疗策略来最大限度减少细菌 MDR 的预测。请参阅相关文章：http://www.biomedcentral.com/1741-7015/10/89。
