PT - JOURNAL ARTICLE AU - Pang, K. Sandy AU - Lu, Weijia Ivy AU - Mulder, Gerard J. TI - After 50 Years of Hepatic Clearance Models, Where Should We Go from Here? Improvements and Implications for Physiologically Based Pharmacokinetic Modeling AID - 10.1124/dmd.124.001649 DP - 2024 Aug 01 TA - Drug Metabolism and Disposition PG - 919--931 VI - 52 IP - 8 4099 - http://dmd.aspetjournals.org/content/52/8/919.short 4100 - http://dmd.aspetjournals.org/content/52/8/919.full SO - Drug Metab Dispos2024 Aug 01; 52 AB - 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, CLH, 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 (CLint), hepatic blood flow (QH), unbound fraction in blood (fub) and the transmembrane clearances (CLin and CLef) to CLH for the WSM. However, the WSM, being the least efficient liver model, predicts a lower EH that is associated with the in vitro CLint (Vmax/Km), therefore requiring scale-up to predict CLH 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 CLint versus EH, substrate concentration [S], and KL/B, 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 CLH. For the same, given CLint (Vmax and Km), the WSM again furnished the lowest extraction ratio (EH,WSM = 0.5) compared with the miniPTM and ZLM (>0.68). Values of EH,WSM were elevated to those for EH,PTM and EH,ZLM when the Vmaxs 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 CLH 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 CLint and [S] to CLH as a stand-in for the DM, which best describes the liver microcirculation. The miniPTM is readily modified to accommodate enzyme and transporter zonation.