常用抗抑郁药、抗精神病药和消炎药在虹鳟肝脏 S9 分馏物中的体外肝清除率比较

IF 4.1 2区 环境科学与生态学 Q1 MARINE & FRESHWATER BIOLOGY
Tea L.M. Pihlaja , Jade Pätsi , Elisa Ollikainen , Tiina M. Sikanen
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引用次数: 0

摘要

地表水中广泛检测到人类药物残留,这些药物可被水生生物(尤其是鱼类)吸收并在其体内进行生物累积。评估药物等可电离有机化合物的生物累积潜力所面临的主要挑战之一,就是缺乏有关生物转化的经验数据。在本研究中,我们按照经合组织测试指南 319B 评估了 12 种药物在虹鳟鱼(Oncorhynchus mykiss)肝脏 S9 馏分(RT-S9)中的体外本征清除率(CLINT),其中有单独的药物,也有混合物。测试物质包括四种消炎药(双氯芬酸、布洛芬、酮洛芬、萘普生)、七种抗抑郁药/抗精神病药(西酞普兰、氟哌啶醇、左美普罗马嗪、米氮平、利培酮、舍曲林、文拉法辛)和文拉法辛的 O-去甲基代谢物。检测到双氯芬酸、布洛芬、萘普生、左美普罗马嗪和舍曲林具有可量化的内在清除率。除双氯芬酸外,其他四种药物的体外清除率主要取决于细胞色素 P450(CYP)代谢。因此,我们还利用 IC50 迁移试验测定了这 12 种药物在 RT-S9 中对 CYP1A 样(7-乙氧基甲磺酰基-O-脱乙基化,EROD)和 CYP3A 样(苄氧基-4-三氟甲基香豆素-O-脱苄氧基化,BFCOD)活性的半最大抑制浓度(IC50)。结果发现,左美丙嗪和舍曲林是EROD和BFCOD活性的最强抑制剂(未结合IC50为10 µM),其次是西酞普兰和氟哌啶醇(10 µM;IC50为100 µM)。此外,米氮平也是一种选择性的 EROD 抑制剂(IC50 ∼ 30 µM)。氟哌啶醇和舍曲林的抑制作用具有时间依赖性。最后,我们用双氯芬酸、布洛芬、萘普生、左旋美丙嗪和舍曲林的混合物进行了本征清除试验,以研究EROD和BFCOD抑制对它们在RT-S9中体外CLINT的影响。我们的体外数据表明,布洛芬、左美丙嗪和舍曲林在虹鳟体内的固有清除率会因药物混合物对 P450 的抑制而显著降低,而双氯芬酸和萘普生的清除率受到的影响较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative in vitro hepatic clearances of commonly used antidepressants, antipsychotics, and anti-inflammatory agents in rainbow trout liver S9 fractions

Residues of human pharmaceuticals are widely detected in surface waters and can be taken up by and bioaccumulate in aquatic organisms, especially fish. One of the key challenges in assessing the bioaccumulation potential of ionizable organic compounds, such as the pharmaceuticals, is the lack of empirical data for biotransformation. In the present study, we assessed the in vitro intrinsic clearances (CLINT) of twelve pharmaceuticals, individually and some additionally as mixtures, in rainbow trout (Oncorhynchus mykiss) liver S9 fractions (RT-S9) adhering to the OECD test guidance 319B. The test substances included four anti-inflammatory agents (diclofenac, ibuprofen, ketoprofen, naproxen), seven antidepressants/antipsychotics (citalopram, haloperidol, levomepromazine, mirtazapine, risperidone, sertraline, venlafaxine) and the O-desmethyl metabolite of venlafaxine. Quantifiable intrinsic clearances were detected for diclofenac, ibuprofen, naproxen, levomepromazine, and sertraline. Apart from diclofenac, the in vitro clearances of the other four pharmaceuticals were shown to be critically dependent on the cytochrome P450 (CYP) metabolism. Therefore, we also determined the half-maximal inhibitory concentrations (IC50) of the same twelve pharmaceuticals toward CYP1A-like (7-ethoxyresorufin-O-deethylation, EROD) and CYP3A-like (benzyloxy-4-trifluoromethylcoumarin-O-debenzyloxylation, BFCOD) activities in RT-S9 using IC50 shift assay. As a result, levomepromazine and sertraline were identified as the most potent inhibitors of both EROD and BFCOD activity (unbound IC50 < 10 µM each), followed by citalopram and haloperidol (10 µM < IC50 < 100 µM). Additionally, mirtazapine was a selective EROD inhibitor (IC50 ∼ 30 µM). The inhibitory impacts of haloperidol and sertraline were indicatively time dependent. Finally, we carried out intrinsic clearance assays with mixtures of diclofenac, ibuprofen, naproxen, levomepromazine, and sertraline to examine the impacts of EROD and BFCOD inhibitions on their in vitro CLINT in RT-S9. Our in vitro data suggests that the intrinsic clearances of ibuprofen, levomepromazine, and sertraline in rainbow trout can be significantly reduced as the result of P450 inhibition by pharmaceutical mixtures, whereas the clearances of diclofenac and naproxen are less impacted.

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来源期刊
Aquatic Toxicology
Aquatic Toxicology 环境科学-毒理学
CiteScore
7.10
自引率
4.40%
发文量
250
审稿时长
56 days
期刊介绍: Aquatic Toxicology publishes significant contributions that increase the understanding of the impact of harmful substances (including natural and synthetic chemicals) on aquatic organisms and ecosystems. Aquatic Toxicology considers both laboratory and field studies with a focus on marine/ freshwater environments. We strive to attract high quality original scientific papers, critical reviews and expert opinion papers in the following areas: Effects of harmful substances on molecular, cellular, sub-organismal, organismal, population, community, and ecosystem level; Toxic Mechanisms; Genetic disturbances, transgenerational effects, behavioral and adaptive responses; Impacts of harmful substances on structure, function of and services provided by aquatic ecosystems; Mixture toxicity assessment; Statistical approaches to predict exposure to and hazards of contaminants The journal also considers manuscripts in other areas, such as the development of innovative concepts, approaches, and methodologies, which promote the wider application of toxicological datasets to the protection of aquatic environments and inform ecological risk assessments and decision making by relevant authorities.
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