Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Department of Haematology, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Eur J Drug Metab Pharmacokinet. 2024 Nov;49(6):689-699. doi: 10.1007/s13318-024-00916-1. Epub 2024 Sep 14.
Voriconazole administered concomitantly with flucloxacillin may result in subtherapeutic plasma concentrations as shown in a patient with Staphylococcus aureus sepsis and a probable pulmonary aspergillosis. After switching our patient to posaconazole, therapeutic concentrations were reached. The aim of this study was to first test our hypothesis that flucloxacillin competes with voriconazole not posaconazole for binding to albumin ex vivo, leading to lower total concentrations in plasma.
A physiologically based pharmacokinetic (PBPK) model was then applied to predict the mechanism of action of the drug-drug interaction (DDI). The model included non-linear hepatic metabolism and the effect of a severe infectious disease on cytochrome P450 (CYP) enzymes activity.
The unbound voriconazole concentration remained unchanged in plasma after adding flucloxacillin, thereby rejecting our hypothesis of albumin-binding site competition. The PBPK model was able to adequately predict the plasma concentration of both voriconazole and posaconazole over time in healthy volunteers. Upregulation of CYP3A4, CYP2C9, and CYP2C19 through the pregnane X receptor (PXR) gene by flucloxacillin resulted in decreased voriconazole plasma concentrations, reflecting the DDI observations in our patient. Posaconazole metabolism was not affected, or was only limitedly affected, by the changes through the PXR gene, which agrees with the observed plasma concentrations within the target range in our patient.
Ex vivo experiments reported that the unbound voriconazole plasma concentration remained unchanged after adding flucloxacillin. The PBPK model describes the potential mechanism driving the drug-drug and drug-disease interaction of voriconazole and flucloxacillin, highlighting the large substantial influence of flucloxacillin on the PXR gene and the influence of infection on voriconazole plasma concentrations, and suggests a more limited effect on other triazoles.
氟氯西林与伏立康唑同时给药可能导致治疗浓度降低,这在金黄色葡萄球菌败血症和可能的肺曲霉病患者中得到了证实。将我们的患者切换为泊沙康唑后,达到了治疗浓度。本研究的目的首先是检验我们的假设,即氟氯西林与伏立康唑竞争,而非与泊沙康唑竞争,与白蛋白结合,导致血浆中总浓度降低。
然后应用基于生理的药代动力学(PBPK)模型来预测药物相互作用(DDI)的作用机制。该模型包括非线性肝代谢和严重感染对细胞色素 P450(CYP)酶活性的影响。
在加入氟氯西林后,游离伏立康唑在血浆中的浓度保持不变,从而拒绝了我们关于白蛋白结合位点竞争的假设。PBPK 模型能够充分预测健康志愿者体内伏立康唑和泊沙康唑的血浆浓度随时间的变化。氟氯西林通过 pregnane X 受体(PXR)基因上调 CYP3A4、CYP2C9 和 CYP2C19,导致伏立康唑的血浆浓度降低,反映了我们患者中的 DDI 观察结果。泊沙康唑的代谢不受 PXR 基因变化的影响,或仅受有限的影响,这与我们患者中观察到的目标范围内的血浆浓度一致。
体外实验报告称,加入氟氯西林后,游离伏立康唑的血浆浓度保持不变。PBPK 模型描述了伏立康唑和氟氯西林相互作用和药物-疾病相互作用的潜在机制,强调了氟氯西林对 PXR 基因的大量实质性影响以及感染对伏立康唑血浆浓度的影响,并表明对其他三唑类药物的影响更为有限。