Development of a Dynamic Physiologically Based Mechanistic Kidney Model to Predict Renal Clearance.

ABSTRACT: Renal clearance is usually predicted via empirical approaches including quantitative structure activity relationship and allometric scaling. Recently, mechanistic prediction approaches using in silico kidney models have been proposed. However, empirical scaling factors are typically used to adjust for either passive diffusion or active secretion, to acceptably predict renal clearances. The goal of this study was to establish a renal clearance simulation tool that allows prediction of renal clearance (filtration and pH-dependent passive reabsorption) from in vitro permeability data. A 35-compartment physiologically based mechanistic kidney model was developed based on human physiology. The model was verified using 46 test compounds, including neutrals, acids, bases, and zwitterions. The fea

SUBMITTER: Huang W 

PROVIDER: S-EPMC6157663 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature