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基于机制的药代动力学/药效学模型能够根据野生型和突变体的最低抑菌浓度(MIC)值预测抗生素的杀菌效果。

A mechanism-based pharmacokinetic/pharmacodynamic model allows prediction of antibiotic killing from MIC values for WT and mutants.

作者信息

Khan David D, Lagerbäck Pernilla, Cao Sha, Lustig Ulrika, Nielsen Elisabet I, Cars Otto, Hughes Diarmaid, Andersson Dan I, Friberg Lena E

机构信息

Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden

Department of Medical Sciences, Uppsala University, Uppsala, Sweden.

出版信息

J Antimicrob Chemother. 2015 Nov;70(11):3051-60. doi: 10.1093/jac/dkv233. Epub 2015 Sep 7.

Abstract

OBJECTIVES

In silico pharmacokinetic/pharmacodynamic (PK/PD) models can be developed based on data from in vitro time-kill experiments and can provide valuable information to guide dosing of antibiotics. The aim was to develop a mechanism-based in silico model that can describe in vitro time-kill experiments of Escherichia coli MG1655 WT and six isogenic mutants exposed to ciprofloxacin and to identify relationships that may be used to simplify future characterizations in a similar setting.

METHODS

In this study, we developed a mechanism-based PK/PD model describing killing kinetics for E. coli following exposure to ciprofloxacin. WT and six well-characterized mutants, with one to four clinically relevant resistance mutations each, were exposed to a wide range of static ciprofloxacin concentrations.

RESULTS

The developed model includes susceptible growing bacteria, less susceptible (pre-existing resistant) growing bacteria, non-susceptible non-growing bacteria and non-colony-forming non-growing bacteria. The non-colony-forming state was likely due to formation of filaments and was needed to describe data close to the MIC. A common model structure with different potency for bacterial killing (EC50) for each strain successfully characterized the time-kill curves for both WT and the six E. coli mutants.

CONCLUSIONS

The model-derived mutant-specific EC50 estimates were highly correlated (r(2) = 0.99) with the experimentally determined MICs, implying that the in vitro time-kill profile of a mutant strain is reasonably well predictable by the MIC alone based on the model.

摘要

目的

基于体外时间杀菌实验数据可开发计算机模拟的药代动力学/药效学(PK/PD)模型,其可为抗生素给药提供有价值的信息。本研究旨在开发一种基于机制的计算机模拟模型,该模型能够描述大肠杆菌MG1655野生型及六个同基因突变体在暴露于环丙沙星后的体外时间杀菌实验,并识别可用于简化类似情况下未来特征描述的关系。

方法

在本研究中,我们开发了一种基于机制的PK/PD模型,用于描述大肠杆菌暴露于环丙沙星后的杀菌动力学。野生型及六个特征明确的突变体,每个突变体具有一至四个临床相关耐药突变,分别暴露于广泛的静态环丙沙星浓度下。

结果

所开发的模型包括敏感生长细菌、较不敏感(预先存在耐药性)生长细菌、不敏感非生长细菌和不成菌落形成的非生长细菌。不成菌落形成状态可能是由于丝状结构的形成,且该状态对于描述接近最低抑菌浓度(MIC)的数据是必需的。一个对每个菌株具有不同细菌杀灭效力(半数效应浓度[EC50])的通用模型结构成功地描绘了野生型和六个大肠杆菌突变体的时间杀菌曲线。

结论

模型推导的突变体特异性EC50估计值与实验测定的MIC高度相关(r² = 0.99),这意味着基于该模型,仅通过MIC就可合理地较好预测突变菌株的体外时间杀菌概况。

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