首页> 外文期刊>Acta veterinaria scandinavica >Pharmacodynamic modelling of in vitro activity of tetracycline against a representative, naturally occurring population of porcine Escherichia coli
【24h】

Pharmacodynamic modelling of in vitro activity of tetracycline against a representative, naturally occurring population of porcine Escherichia coli

机译:四环素对代表性的自然存在的猪大肠杆菌群体外活性的药效学模拟

获取原文
           

摘要

Background The complex relationship between drug concentrations and bacterial growth rates require not only the minimum inhibitory concentration but also other parameters to capture the dynamic nature of the relationship. To analyse this relationship between tetracycline concentration and growth of Escherichia coli representative of those found in the Danish pig population, we compared the growth of 50 randomly selected strains. The observed net growth rates were used to describe the in vitro pharmacodynamic relationship between drug concentration and net growth rate based on E max model with three parameters: maximum net growth rate ( α max ); concentration for a half-maximal response ( E max ); and the Hill coefficient (γ). Results The net growth rate in the absence of antibiotic did not differ between susceptible and resistant isolates (P?=?0.97). The net growth rate decreased with increasing tetracycline concentrations, and this decline was greater in susceptible strains than resistant strains. The lag phase, defined as the time needed for the strain to reach an OD600 value of 0.01, increased exponentially with increasing tetracycline concentration. The pharmacodynamic parameters confirmed that the ( lpha_{max} ) between susceptible and resistant strains in the absence of a drug was not different. EC 50 increased linearly with MIC on a log–log scale, and γ was different between susceptible and resistant strains. Conclusions The in vitro model parameters described the inhibition effect of tetracycline on E. coli when strains were exposed to a wide range of tetracycline concentrations. These parameters, along with in vivo pharmacokinetic data, may be useful in mathematical models to predict in vivo competitive growth of many different strains and for development of optimal dosing regimens for preventing selection of resistance.
机译:背景技术药物浓度和细菌生长速率之间的复杂关系不仅需要最小抑菌浓度,还需要其他参数来捕捉这种关系的动态性质。为了分析四环素浓度与代表丹麦猪种群的大肠杆菌生长之间的这种关系,我们比较了50种随机选择菌株的生长。基于E max 模型并使用三个参数,将观察到的净增长率用于描述药物浓度与净增长率之间的体外药效关系:最大净增长率(α max );浓度为最大响应的一半(E max );和希尔系数(γ)。结果在不使用抗生素的情况下,易感菌株和耐药菌株的净增长率没有差异(P = 0.97)。净生长速率随四环素浓度的增加而降低,易感菌株的这种下降要比抗性菌株更大。滞后阶段定义为菌株达到OD 600 值为0.01所需的时间,随四环素浓度的增加呈指数增加。药效学参数证实,在不存在药物的情况下,敏感菌株和耐药菌株之间的( alpha_ {max} )相同。 EC 50 与MIC呈对数对数线性增长,而敏感和抗性菌株之间的γ有所不同。结论体外模型参数描述了当菌株暴露于各种浓度的四环素时四环素对大肠杆菌的抑制作用。这些参数以及体内药代动力学数据可用于数学模型中,以预测许多不同菌株的体内竞争性增长,并为预防耐药性选择提供最佳给药方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号