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体外肝脏代谢输入参数支持从β-异构体丙二醇甲醚形成甲氧基丙酸的毒代动力学模拟。

In Vitro Hepatic Metabolism Input Parameters Support Toxicokinetic Simulations for the Formation of Methoxy Propionic Acid From β-Isomer Propylene Glycol Methyl Ether.

作者信息

Werner Sophie, Hegg Lucie, Hopf Nancy B, Borgatta Myriam, Suter-Dick Laura

机构信息

School of Life Sciences, University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland.

Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland.

出版信息

Pharmacol Res Perspect. 2024 Dec;12(6):e70037. doi: 10.1002/prp2.70037.

Abstract

Propylene glycol ethers (PGEs) are organic solvents commonly found as technical grade on the commercial market, as mixtures of secondary (α-isomer) and primary (β-isomer, generally < 5%) alcohols. After handling products containing PGEs, they readily enter the human body where they are metabolized. The minor β-isomer is oxidized by alcohol dehydrogenase (ADH) followed by aldehyde dehydrogenase (ALDH) to a potentially harmful metabolite. Although the enzymatic rate is needed to estimate both parent and metabolite internal exposures, kinetic data for many PGEs are still scarce. Therefore, we generated in vitro hepatic intrinsic clearance data for propylene glycol methyl ether β-isomer (β-PGME) and its metabolite methoxy propionic acid (2-MPA) and integrated these data into an in silico toxicokinetic (TK) model. Hepatic clearance values for the model were generated using an established in vitro 3D culture of the human HepaRG cell line and human S9 liver fraction. Our results showed the presence of ADH and ALDH and consequently, the formation of 2-MPA in the 3D HepaRG and S9 fraction, which was slow to medium. We integrated the hepatic clearance values into the TK model to predict urinary 2-MPA concentrations. The simulated urinary 2-MPA concentrations fitted well (within twofold error from observed experimental data) for both liver systems, showing that they were both able to reliably predict the hepatic clearance of β-PGME. Although S9 is suitable for short-term studies, 3D cell culture models maintain metabolic competence over days and weeks. This opens the opportunity for long-term metabolism studies applying the 3D HepaRG model alone or in multi-organ systems.

摘要

丙二醇醚(PGEs)是有机溶剂,在商业市场上通常以工业级形式存在,是仲醇(α-异构体)和伯醇(β-异构体,一般<5%)的混合物。在处理含有PGEs的产品后,它们很容易进入人体并在体内代谢。少量的β-异构体先被乙醇脱氢酶(ADH)氧化,随后被醛脱氢酶(ALDH)氧化为一种潜在有害的代谢产物。虽然需要酶促反应速率来估计母体和代谢产物的体内暴露量,但许多PGEs的动力学数据仍然匮乏。因此,我们生成了丙二醇甲醚β-异构体(β-PGME)及其代谢产物甲氧基丙酸(2-MPA)的体外肝脏固有清除率数据,并将这些数据整合到一个计算机模拟的毒代动力学(TK)模型中。该模型的肝脏清除率值是使用已建立的人HepaRG细胞系和人S9肝脏组分的体外3D培养生成的。我们的结果显示在3D HepaRG和S9组分中存在ADH和ALDH,因此形成了2-MPA,其形成速度为慢至中等。我们将肝脏清除率值整合到TK模型中以预测尿中2-MPA的浓度。对于两个肝脏系统,模拟的尿中2-MPA浓度拟合良好(与观察到的实验数据的误差在两倍以内),表明它们都能够可靠地预测β-PGME的肝脏清除率。虽然S9适合短期研究,但3D细胞培养模型在数天和数周内都能保持代谢能力。这为单独应用3D HepaRG模型或在多器官系统中进行长期代谢研究提供了机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0a/11629119/d5fd690afb5b/PRP2-12-e70037-g004.jpg

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