Cheah Soon-Ee, Li Jian, Tsuji Brian T, Forrest Alan, Bulitta Jürgen B, Nation Roger L
Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), Parkville, Victoria, Australia.
Laboratory of Antimicrobial Pharmacodynamics, Department of Pharmacy Practice, University of Buffalo, Buffalo, New York, USA.
Antimicrob Agents Chemother. 2016 Jun 20;60(7):3921-33. doi: 10.1128/AAC.02927-15. Print 2016 Jul.
Infections caused by multidrug-resistant Acinetobacter baumannii are a major public health problem, and polymyxins are often the last line of therapy for recalcitrant infections by such isolates. The pharmacokinetics of the two clinically used polymyxins, polymyxin B and colistin, differ considerably, since colistin is administered as an inactive prodrug that undergoes slow conversion to colistin. However, the impact of these substantial pharmacokinetic differences on bacterial killing and resistance emergence is poorly understood. We assessed clinically relevant polymyxin B and colistin dosage regimens against one reference and three clinical A. baumannii strains in a dynamic one-compartment in vitro model. A new mechanism-based pharmacodynamic model was developed to describe and predict the drug concentrations and viable counts of the total and resistant populations. Rapid attainment of target concentrations was shown to be critical for polymyxin-induced bacterial killing. All polymyxin B regimens achieved peak concentrations of at least 1 mg/liter within 1 h and caused ≥4 log10 killing at 1 h. In contrast, the slow rise of colistin concentrations to 3 mg/liter over 48 h resulted in markedly reduced bacterial killing. A significant (4 to 6 log10 CFU/ml) amplification of resistant bacterial populations was common to all dosage regimens. The developed mechanism-based model explained the observed bacterial killing, regrowth, and resistance. The model also implicated adaptive polymyxin resistance as a key driver of bacterial regrowth and predicted the amplification of preexisting, highly polymyxin-resistant bacterial populations following polymyxin treatment. Antibiotic combination therapies seem the most promising option for minimizing the emergence of polymyxin resistance.
多重耐药鲍曼不动杆菌引起的感染是一个重大的公共卫生问题,而多粘菌素通常是此类菌株顽固性感染的最后一道治疗防线。两种临床使用的多粘菌素,即多粘菌素B和黏菌素,其药代动力学有很大差异,因为黏菌素是以无活性前体药物的形式给药,会缓慢转化为黏菌素。然而,这些显著的药代动力学差异对细菌杀灭和耐药性产生的影响却知之甚少。我们在动态单室体外模型中,针对一株参考菌株和三株临床鲍曼不动杆菌菌株,评估了临床相关的多粘菌素B和黏菌素给药方案。开发了一种基于机制的新药效学模型,以描述和预测总菌数和耐药菌数的药物浓度及活菌数。结果表明,快速达到目标浓度对多粘菌素诱导的细菌杀灭至关重要。所有多粘菌素B给药方案在1小时内均达到至少1毫克/升的峰值浓度,并在1小时时导致≥4个对数10的杀灭。相比之下,黏菌素浓度在48小时内缓慢升至3毫克/升,导致细菌杀灭明显减少。所有给药方案中耐药菌群体均出现显著(4至6个对数10 CFU/毫升)扩增。所开发的基于机制的模型解释了观察到的细菌杀灭、再生长和耐药情况。该模型还表明适应性多粘菌素耐药是细菌再生长的关键驱动因素,并预测了多粘菌素治疗后预先存在的、对多粘菌素高度耐药的细菌群体的扩增。抗生素联合疗法似乎是将多粘菌素耐药性出现降至最低的最有前景的选择。