Leslie Dan Faculty of Pharmacy, University of Toronto, Ontario, Canada (K.S.P., W.I.L.) and Department of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, The Netherlands (G.J.M.)
Leslie Dan Faculty of Pharmacy, University of Toronto, Ontario, Canada (K.S.P., W.I.L.) and Department of Toxicology, Leiden Academic Centre for Drug Research, Leiden University, The Netherlands (G.J.M.).
Drug Metab Dispos. 2024 Jul 16;52(8):919-931. doi: 10.1124/dmd.124.001649.
There is overwhelming preference for application of the unphysiologic, well-stirred model (WSM) over the parallel tube model (PTM) and dispersion model (DM) to predict hepatic drug clearance, , despite that liver blood flow is dispersive and closer to the DM in nature. The reasoning is the ease in computation relating the hepatic intrinsic clearance ( ), hepatic blood flow ( ), unbound fraction in blood ( ) and the transmembrane clearances ( and ) to for the WSM. However, the WSM, being the least efficient liver model, predicts a lower that is associated with the in vitro ( / ), therefore requiring scale-up to predict in vivo. By contrast, the miniPTM, a three-subcompartment tank-in-series model of uniform enzymes, closely mimics the DM and yielded similar patterns for versus , substrate concentration , and , the tissue to outflow blood concentration ratio. We placed these liver models nested within physiologically based pharmacokinetic models to describe the kinetics of the flow-limited, phenolic substrate, harmol, using the WSM (single compartment) and the miniPTM and zonal liver models (ZLMs) of evenly and unevenly distributed glucuronidation and sulfation activities, respectively, to predict For the same, given ( and ), the WSM again furnished the lowest extraction ratio ( = 0.5) compared with the miniPTM and ZLM (>0.68). Values of were elevated to those for and when the s for sulfation and glucuronidation were raised 5.7- to 1.15-fold. The miniPTM is easily manageable mathematically and should be the new normal for liver/physiologic modeling. SIGNIFICANCE STATEMENT: Selection of the proper liver clearance model impacts strongly on predictions. The authors recommend use of the tank-in-series miniPTM (3 compartments mini-parallel tube model), which displays similar properties as the dispersion model (DM) in relating and [ ] to as a stand-in for the DM, which best describes the liver microcirculation. The miniPTM is readily modified to accommodate enzyme and transporter zonation.
尽管肝血流本身呈分散性,更接近弥散模型(DM),但人们仍然强烈倾向于将非生理、充分搅拌模型(WSM)应用于预测肝药物清除率,而不是平行管模型(PTM)和离散模型(DM)。其原因是 WSM 更容易计算与肝内在清除率(CLint)、肝血流(Q)、血中游离分数(fu)和跨膜清除率(CLint 和 Q)相关的参数,从而预测药物清除率。然而,WSM 作为效率最低的肝模型,预测的 CLint 较低,这与体外测定的参数(CLint/CLin vitro)相关,因此需要进行放大以预测体内的参数。相比之下,miniPTM 是一种具有均匀酶的三室罐串联模型,与 DM 非常相似,并且对于药物清除率(CLint)与底物浓度([S])、底物浓度([S])和组织流出液浓度比(Q/Qt)的关系,产生了相似的模式。我们将这些肝模型嵌套在生理基于药代动力学模型中,以描述限速、酚类底物 harmol 的动力学,使用 WSM(单室)和 miniPTM 以及均匀分布和不均匀分布的葡萄糖醛酸化和硫酸化活性的 ZLM,分别预测体内参数。对于相同的参数,给定 fu 和 Q,WSM 再次提供了最低的提取率(ER=0.5),而 miniPTM 和 ZLM 则大于 0.68。当硫酸化和葡萄糖醛酸化的 Ks 提高 5.7-1.15 倍时,CLint 的值升高到 CLin vitro 和 CLin vivo的值。miniPTM 在数学上易于管理,应该成为肝/生理建模的新标准。意义:正确选择肝清除模型对预测参数有很大影响。作者建议使用串联罐 miniPTM(3 室 mini-平行管模型),该模型在将 ER 与 [S] 和 [Q] 相关联时,具有与 DM 相似的性质(DM 最好地描述了肝微循环),可以作为 DM 的替代品。miniPTM 易于修改以适应酶和转运体的分区。