Emile P Chen1, Guoying Tai, Harma Ellens. 1. Department of Preclinical Drug Metabolism and Pharmacokinetics, GlaxoSmithKline, King of Prussia, Pennsylvania, 19406, USA, emile.p.chen@gsk.com.
Abstract
PURPOSE: Existing PBPK models incorporating intestinal first-pass metabolism account for effect of drug permeability on accessible absorption surface area by use of "effective" permeability, P eff , without adjusting number of enterocytes involved in absorption or proportion of intestinal CYP3A involved in metabolism. The current model expands on existing models by accounting for these factors. METHODS: The PBPK model was developed using SAAM II. Midazolam clinical data was generated at GlaxoSmithKline. RESULTS: The model simultaneously captures human midazolam blood concentration profile and previously reported intestinal availability, using values for CYP3A CLu int , permeability and accessible surface area comparable to literature data. Simulations show: (1) failure to distinguish absorbing from non-absorbing enterocytes results in overestimation of intestinal metabolism of highly permeable drugs absorbed across the top portion of the villous surface only; (2) first-pass extraction of poorly permeable drugs occurs primarily in enterocytes, drugs with higher permeability are extracted by enterocytes and hepatocytes; (3) CYP3A distribution along crypt-villous axes does not significantly impact intestinal metabolism; (4) differences in permeability of perpetrator and victim drugs results in their spatial separation along the villous axis and intestinal length, diminishing drug-drug interaction magnitude. CONCLUSIONS: The model provides a useful tool to interrogate intestinal absorption/metabolism of candidate drugs.
PURPOSE: Existing PBPK models incorporating intestinal first-pass metabolism account for effect of drug permeability on accessible absorption surface area by use of "effective" permeability, P eff , without adjusting number of enterocytes involved in absorption or proportion of intestinal CYP3A involved in metabolism. The current model expands on existing models by accounting for these factors. METHODS: The PBPK model was developed using SAAM II. Midazolam clinical data was generated at GlaxoSmithKline. RESULTS: The model simultaneously captures humanmidazolam blood concentration profile and previously reported intestinal availability, using values for CYP3A CLu int , permeability and accessible surface area comparable to literature data. Simulations show: (1) failure to distinguish absorbing from non-absorbing enterocytes results in overestimation of intestinal metabolism of highly permeable drugs absorbed across the top portion of the villous surface only; (2) first-pass extraction of poorly permeable drugs occurs primarily in enterocytes, drugs with higher permeability are extracted by enterocytes and hepatocytes; (3) CYP3A distribution along crypt-villous axes does not significantly impact intestinal metabolism; (4) differences in permeability of perpetrator and victim drugs results in their spatial separation along the villous axis and intestinal length, diminishing drug-drug interaction magnitude. CONCLUSIONS: The model provides a useful tool to interrogate intestinal absorption/metabolism of candidate drugs.
Authors: Anna Nilsson; Alexandra Peric; Marie Strimfors; Richard J A Goodwin; Martin A Hayes; Per E Andrén; Constanze Hilgendorf Journal: Sci Rep Date: 2017-07-25 Impact factor: 4.379