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使用建模与仿真预测三唑类抗真菌药物对泽布替尼和阿卡拉布替尼药代动力学的影响。

Use of modeling and simulation to predict the influence of triazole antifungal agents on the pharmacokinetics of zanubrutinib and acalabrutinib.

作者信息

Chen Lu, Li Chao, Bai Hao, Li Lixian, Chen Wanyi

机构信息

Department of Pharmacy, Chongqing University Cancer Hospital, Chongqing, China.

Chongqing University, Chongqing, China.

出版信息

Front Pharmacol. 2022 Oct 10;13:960186. doi: 10.3389/fphar.2022.960186. eCollection 2022.

Abstract

Bruton's tyrosine kinase (BTK) inhibitors are commonly used in the targeted therapy of B-cell malignancies. It is reported that myelosuppression and fungal infections might occur during antitumor therapy of BTK inhibitors, therefore a combination therapy with triazole antifungals is usually required. To evaluate the influence of different triazoles (voriconazole, fluconazole, itraconazole) on the pharmacokinetics of BTK inhibitors (zanubrutinib, acalabrutinib) and to quantify the drug-drug interactions (DDIs) between them. The physiologically-based pharmacokinetic (PBPK) models were developed based on pharmacokinetic parameters and physicochemical data using Simcyp software. These models were validated using clinically observed plasma concentrations data which based on existing published studies. The successfully validated PBPK models were used to evaluate and predict potential DDIs between BTK inhibitors and different triazoles. BTK inhibitors and triazole antifungal agents were simulated by oral administration. Simulated plasma concentration-time profiles of the zanubrutinib, acalabrutinib, voriconazole, fluconazole, and itraconazole are consistent with the clinically observed profiles which based on existing published studies, respectively. The exposures of BTK inhibitors increase by varying degrees when co-administered with different triazole antifungals. At multiple doses regimen, voriconazole, fluconazole and itraconazole may increase the area under plasma concentration-time curve (AUC) of zanubrutinib by 127%, 81%, and 48%, respectively, and may increase the AUC of acalabrutinib by 326%, 119%, and 264%, respectively. The PBPK models sufficiently characterized the pharmacokinetics of BTK inhibitors and triazole antifungals, and were used to predict untested clinical scenarios. Voriconazole exhibited the greatest influence on the exposures of BTK inhibitors. The dosage of zanubrutinib or acalabrutinib need to be reduced when co-administered with moderate CYP3A inhibitors.

摘要

布鲁顿酪氨酸激酶(BTK)抑制剂常用于B细胞恶性肿瘤的靶向治疗。据报道,在BTK抑制剂抗肿瘤治疗期间可能会发生骨髓抑制和真菌感染,因此通常需要与三唑类抗真菌药联合治疗。为了评估不同三唑类药物(伏立康唑、氟康唑、伊曲康唑)对BTK抑制剂(泽布替尼、阿卡拉布替尼)药代动力学的影响,并量化它们之间的药物相互作用(DDIs)。基于药代动力学参数和理化数据,使用Simcyp软件建立了生理药代动力学(PBPK)模型。这些模型使用基于现有已发表研究的临床观察血浆浓度数据进行验证。成功验证的PBPK模型用于评估和预测BTK抑制剂与不同三唑类药物之间潜在的DDIs。通过口服给药模拟BTK抑制剂和三唑类抗真菌剂。泽布替尼、阿卡拉布替尼、伏立康唑、氟康唑和伊曲康唑的模拟血浆浓度-时间曲线分别与基于现有已发表研究的临床观察曲线一致。当与不同的三唑类抗真菌药联合使用时,BTK抑制剂的暴露量会有不同程度的增加。在多剂量方案中,伏立康唑、氟康唑和伊曲康唑可能分别使泽布替尼的血浆浓度-时间曲线下面积(AUC)增加127%、81%和48%,并可能分别使阿卡拉布替尼的AUC增加326%、119%和264%。PBPK模型充分表征了BTK抑制剂和三唑类抗真菌药的药代动力学,并用于预测未经测试的临床情况。伏立康唑对BTK抑制剂的暴露影响最大。当与中度CYP3A抑制剂联合使用时,泽布替尼或阿卡拉布替尼的剂量需要减少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bc5/9588929/66912ebfa07b/fphar-13-960186-g001.jpg

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