Hartman Jessica H, Letzig Lynda G, Roberts Dean W, James Laura P, Fifer E Kim, Miller Grover P
Department of Biochemistry and Molecular Biology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Department of Pediatrics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Biochem Pharmacol. 2015 Oct 1;97(3):341-9. doi: 10.1016/j.bcp.2015.07.026. Epub 2015 Jul 28.
Risk assessment for exposure to mixtures of drugs and pollutants relies heavily on in vitro characterization of their bioactivation and/or metabolism individually and extrapolation to mixtures assuming no interaction. Herein, we demonstrated that in vitro CYP2E1 metabolic activation of acetaminophen and styrene mixtures could not be explained through the Michaelis-Menten mechanism or any models relying on that premise. As a baseline for mixture studies with styrene, steady-state analysis of acetaminophen oxidation revealed a biphasic kinetic profile that was best described by negative cooperativity (Hill coefficient=0.72). The best-fit mechanism for this relationship involved two binding sites with differing affinities (Ks=830μM and Kss=32mM). Introduction of styrene inhibited that reaction less than predicted by simple competition and thus provided evidence for a cooperative mechanism within the mixture. Likewise, acetaminophen acted through a mixed-type inhibition mechanism to impact styrene epoxidation. In this case, acetaminophen competed with styrene for CYP2E1 (Ki=830μM and Ksi=180μM for catalytic and effector sites, respectively) and resulted in cooperative impacts on binding and catalysis. Based on modeling of in vivo clearance, cooperative interactions between acetaminophen and styrene resulted in profoundly increased styrene activation at low styrene exposure levels and therapeutic acetaminophen levels. Current Michaelis-Menten based toxicological models for mixtures such as styrene and acetaminophen would fail to detect this concentration-dependent relationship. Hence, future studies must assess the role of alternate CYP2E1 mechanisms in bioactivation of compounds to improve the accuracy of interpretations and predictions of toxicity.
药物与污染物混合物暴露的风险评估在很大程度上依赖于对其生物活化和/或代谢的体外单独表征,并在假设无相互作用的情况下外推至混合物。在此,我们证明对乙酰氨基酚和苯乙烯混合物的体外CYP2E1代谢活化不能通过米氏机制或任何基于该前提的模型来解释。作为苯乙烯混合物研究的基线,对乙酰氨基酚氧化的稳态分析揭示了一种双相动力学特征,用负协同性(希尔系数 = 0.72)来描述最为合适。这种关系的最佳拟合机制涉及两个具有不同亲和力的结合位点(Ks = 830μM和Kss = 32mM)。苯乙烯的引入对该反应的抑制作用小于简单竞争所预测的,因此为混合物中的协同机制提供了证据。同样,对乙酰氨基酚通过混合型抑制机制影响苯乙烯环氧化。在这种情况下,对乙酰氨基酚与苯乙烯竞争CYP2E1(催化位点和效应位点的Ki分别为830μM和180μM),并对结合和催化产生协同影响。基于体内清除率的建模,对乙酰氨基酚和苯乙烯之间的协同相互作用导致在低苯乙烯暴露水平和治疗剂量对乙酰氨基酚水平下苯乙烯活化显著增加。当前基于米氏模型的苯乙烯和对乙酰氨基酚等混合物的毒理学模型无法检测到这种浓度依赖性关系。因此,未来的研究必须评估其他CYP2E1机制在化合物生物活化中的作用,以提高毒性解释和预测的准确性。