吉非替尼与/不含氯沙坦和选择性血清素再摄取抑制剂(SSRIs)的临床前药物-药物相互作用(ddi):西酞普兰、氟西汀、氟伏沙明、帕罗西汀、舍曲林和文拉法辛

Q2 Agricultural and Biological Sciences
Thu-Lan T. Luong , Chelsea N. Powers , Brian J. Reinhardt , Peter J. Weina
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引用次数: 3

摘要

目的评价吉非替尼联合/不联合氯沙坦与选择性5 -羟色胺再摄取抑制剂(SSRIs)的药物相互作用(ddi)。方法利用体外超体鉴定参与药物代谢的CYP1A2、2C9、2C19、2D6和3A4同工酶,并利用体外冷冻原代人肝细胞检测ddi。结果可降解药物的同位酶分别为吉非替尼(CYP2D6、3A4、1A2、2C9、2C19)、氯沙坦(CYP2C9、3A4)、西酞普兰(CYP2D6、2C19、3A4、2C9)、氟西汀(CYP2D6、2C9、2C19)、氟伏沙明(CYP2D6、2C9、2C19)、帕罗西汀(CYP2D6、3A4、2C9)、舍曲林(CYP2D6、2C9、2C19、1A2、3A4)、文拉法辛(CYP2D6、2C19)。人肝细胞ddi检测显示,吉非替尼与帕罗西汀或舍曲林(p值分别为0.042和0.025)(1:1)和氯沙坦与氟西汀、氟伏沙明、帕罗西汀或舍曲林(p值分别为0.009、0.027、0.048和0.037)(p值分别为0.001、0.027、0.048和0.037)联用时代谢变化显著。氯沙坦与吉非替尼、氟西汀或舍曲林(1:1:1)合用时差异有统计学意义(p值分别为0.026和0.008)。氟西汀、氟伏沙明和帕罗西汀在与吉非替尼和氯沙坦(1:1:1)联用时发生显著变化(p值分别为0.003、0.022和0.046)。舍曲林在吉非替尼单用和吉非替尼与氯沙坦联用的ddi均有显著变化(p值分别为0.009和0.008)。西酞普兰和文拉法辛似乎不受任何组合的影响。结论本研究为体外代谢DDI检测提供了明确的概念证明。虽然通过抑制潜力来识别化合物可以帮助更好地预测其代谢,但由于总体有效性尚不清楚,因此无法解决ddi引起的问题。如本研究所示,吉非替尼已被确定为弱CYP2C19和2D6抑制剂,但吉非替尼与舍曲林有明显的ddi。此外,多种药物联合(1:1:1)可以改变(1:1)联合中先前确定的ddi的意义。因此,体外试验可能为多药方案提供更好的指导,使ddi风险最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Pre-clinical drug-drug interactions (DDIs) of gefitinib with/without losartan and selective serotonin reuptake inhibitors (SSRIs): citalopram, fluoxetine, fluvoxamine, paroxetine, sertraline, and venlafaxine

Pre-clinical drug-drug interactions (DDIs) of gefitinib with/without losartan and selective serotonin reuptake inhibitors (SSRIs): citalopram, fluoxetine, fluvoxamine, paroxetine, sertraline, and venlafaxine

Objective

To evaluate drug-drug interactions (DDIs) between gefitinib with/without losartan and selective serotonin reuptake inhibitors (SSRIs).

Methods

In vitro supersomes were used to identify CYP isoenzymes (CYP1A2, 2C9, 2C19, 2D6, and 3A4) involved in drug metabolism, and in vitro pooled cryopreserved primary human hepatocytes were employed to investigate DDIs.

Results

The isoenzymes that showed drug degradation are listed in parentheses beside the respective drug: gefitinib (CYP2D6, 3A4, 1A2, 2C9, and 2C19), losartan (CYP2C9 and 3A4), citalopram (CYP2D6, 2C19, 3A4, and 2C9), fluoxetine (CYP2D6, 2C9, and 2C19), fluvoxamine (CYP2D6, 2C9, and 2C19), paroxetine (CYP2D6, 3A4, and 2C9), sertraline (CYP2D6, 2C9, 2C19, 1A2, and 3A4), and venlafaxine (CYP2D6 and 2C19).

DDIs from human hepatocytes assays revealed that gefitinib had significant metabolic changes in (1:1) combination with paroxetine or sertraline (p-value ​= ​0.042 and 0.025 respectively) and (1:1:1) combination with losartan and fluoxetine, fluvoxamine, paroxetine, or sertraline (p-value ​= ​0.009, 0.027, 0.048, and 0.037 respectively). Losartan showed significant changes in (1:1:1) combination with gefitinib and fluoxetine or sertraline (p-value ​= ​0.026 and 0.008 respectively). Fluoxetine, fluvoxamine, and paroxetine underwent significant changes in (1:1:1) combination with gefitinib and losartan (p-value ​= ​0.003, 0.022, and 0.046 respectively). Sertraline had significant changes within all combinations: DDIs with gefitinib alone and in combination with gefitinib and losartan (p-value ​= ​0.009 and 0.008 respectively). Citalopram and venlafaxine appeared to be unaffected by any combination.

Conclusion

The study provides a clear proof-of concept for in vitro metabolic DDI testing. While identifying compounds by their inhibition potential can help better predict their metabolism, it cannot resolve problems that arise from DDIs since the overall degree of effectiveness is unknown. As shown in this study, gefitinib has been identified as a weak CYP2C19 and 2D6 inhibitor, however, gefitinib can have significant DDIs with sertraline. Furthermore, multiple drug combinations (1:1:1) can change the significance of previously determined DDIs in (1:1) combination. Thus, in vitro assays can potentially provide better guidance for multidrug regimens with minimal risk for DDIs.

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来源期刊
Current Research in Pharmacology and Drug Discovery
Current Research in Pharmacology and Drug Discovery Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
6.40
自引率
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发文量
65
审稿时长
40 days
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