Campion Jeffrey J, Chung Philip, McNamara Patrick J, Titlow William B, Evans Martin E
Division of Infectious Diseases, Department of Internal Medicine, Room MN672, University of Kentucky Medical Center, 800 Rose Street, Lexington, KY 40536-0298, USA.
Antimicrob Agents Chemother. 2005 Jun;49(6):2189-99. doi: 10.1128/AAC.49.6.2189-2199.2005.
Previously, we demonstrated the importance of low-level-resistant variants to the evolution of resistance in Staphylococcus aureus exposed to ciprofloxacin in an in vitro system and developed a pharmacodynamic model which predicted the emergence of resistance. Here, we examine and model the evolution of resistance to levofloxacin in S. aureus exposed to simulated levofloxacin pharmacokinetic profiles. Enrichment of subpopulations with mutations in grlA and low-level resistance varied with levofloxacin exposure. A regimen producing average steady-state concentrations (Cavg ss) just above the MIC selected grlA mutants with up to 16-fold increases in the MIC and often additional mutations in grlA/grlB and gyrA. A regimen providing Cavg ss between the MIC and the mutant prevention concentration (MPC) suppressed bacterial numbers to the limit of detection and prevented the appearance of bacteria with additional mutations or high-level resistance. Regimens producing Cavg ss above the MPC appeared to eradicate low-level-resistant variants in the cultures and prevent the emergence of resistance. There was no relationship between the time concentrations remained between the MIC and the MPC and the degree of resistance or the presence or type of mutations that appeared in grlA/B or gyrA. Our pharmacodynamic model described the growth and levofloxacin killing of the parent strains and the most resistant grlA mutants in the starting cultures and correctly predicted conditions that enrich subpopulations with low-level resistance. These findings suggest that the pharmacodynamic model has general applicability for describing fluoroquinolone resistance in S. aureus and further demonstrate the importance of low-level-resistant variants to the evolution of resistance.
此前,我们在体外系统中证明了低水平耐药变异体对金黄色葡萄球菌暴露于环丙沙星时耐药性演变的重要性,并建立了一个预测耐药性出现的药效学模型。在此,我们研究并模拟了金黄色葡萄球菌暴露于模拟左氧氟沙星药代动力学曲线时对左氧氟沙星耐药性的演变。具有grlA突变的亚群富集和低水平耐药随左氧氟沙星暴露而变化。产生平均稳态浓度(Cavg ss)略高于最低抑菌浓度(MIC)的给药方案选择了MIC增加高达16倍的grlA突变体,并且grlA/grlB和gyrA常常有额外突变。提供Cavg ss介于MIC和突变预防浓度(MPC)之间的给药方案将细菌数量抑制到检测限,并防止出现具有额外突变或高水平耐药的细菌。产生Cavg ss高于MPC的给药方案似乎根除了培养物中的低水平耐药变异体并防止耐药性出现。MIC和MPC之间浓度保持的时间与耐药程度或grlA/B或gyrA中出现的突变的存在或类型之间没有关系。我们的药效学模型描述了起始培养物中亲本菌株和最耐药的grlA突变体的生长及左氧氟沙星杀伤情况,并正确预测了富集低水平耐药亚群的条件。这些发现表明,该药效学模型对于描述金黄色葡萄球菌中的氟喹诺酮耐药性具有普遍适用性,并进一步证明了低水平耐药变异体对耐药性演变的重要性。