Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain.
Department of Immunology, Microbiology and Parasitology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain.
CPT Pharmacometrics Syst Pharmacol. 2023 Jun;12(6):770-782. doi: 10.1002/psp4.12949. Epub 2023 Mar 13.
In vitro combination of echinocandins and isavuconazole against the emerging species Candida auris is mainly synergistic. However, this combination has not been evaluated in clinical settings. A pharmacokinetic/pharmacodynamic modeling and simulation approach based on in vitro data may be helpful to further study the therapeutic potential of these combinations. Therefore, the aims of this study were to characterize the time course of growth and killing of C. auris in response to the combination of the three approved echinocandins and isavuconazole using a semimechanistic model and to perform model-based simulations in order to predict the in vivo response to combination therapy. In vitro static time-kill curve data for isavuconazole and echinocandins combinations against six blood isolates of C. auris were best modeled considering the total killing of the fungal population as dependent on the additive effects of both drugs. Once assessed, the predictive performance of the model using simulations of different dosing and fungal susceptibility scenarios were conducted. Model-based simulations revealed that none of the combinations at standard or higher dosages would be effective against the studied isolates of C. auris and it was predicted that the combinations of isavuconazole with anidulafungin or caspofungin would be effective for minimum inhibitory concentrations up to 0.03 and 0.06 mg/L respectively, whereas the combination with micafungin would lead to treatment failure. The current approach highlights the importance of bridging the in vitro results to the clinic.
体外联合棘白菌素类药物和伊曲康唑治疗新出现的耳念珠菌主要为协同作用。然而,这种联合治疗尚未在临床环境中进行评估。基于体外数据的药代动力学/药效学建模和模拟方法可能有助于进一步研究这些联合治疗的潜力。因此,本研究的目的是使用半机械模型来描述对三种已批准的棘白菌素类药物和伊曲康唑联合用药时耳念珠菌生长和杀灭的时间过程,并进行基于模型的模拟,以预测联合治疗的体内反应。使用六种血液分离株的耳念珠菌体外静态时间杀伤曲线数据,考虑到真菌群体的总杀灭取决于两种药物的相加作用,最佳地对伊曲康唑和棘白菌素类药物联合用药的时间杀伤曲线数据进行建模。评估后,对不同剂量和真菌敏感性情况下的模拟进行了模型预测性能评估。基于模型的模拟表明,在标准或更高剂量下,没有一种联合用药对研究的耳念珠菌分离株有效,预测伊曲康唑与安尼卡他滨或卡泊芬净联合用药对最小抑菌浓度为 0.03 和 0.06mg/L 分别有效,而与米卡芬净联合用药则可能导致治疗失败。目前的方法强调了将体外结果与临床联系起来的重要性。