2015
DOI: 10.1002/psp4.39
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A Mechanistic Pharmacokinetic Model for Liver Transporter Substrates Under Liver Cirrhosis Conditions

Abstract: Liver cirrhosis is a disease characterized by the loss of functional liver mass. Physiologically based pharmacokinetic (PBPK) modeling was applied to interpret and predict how the interplay among physiological changes in cirrhosis affects pharmacokinetics. However, previous PBPK models under cirrhotic conditions were developed for permeable cytochrome P450 substrates and do not directly apply to substrates of liver transporters. This study characterizes a PBPK model for liver transporter substrates in relation… Show more

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Cited by 29 publications
(26 citation statements)
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“…Predictions of the role of drug transporters in specific populations are further hindered by the lack of knowledge pertaining to disease‐ or population‐specific factors. Recently, data on hepatic transporters in patients with hepatic impairment have been populated . Continued research is expected to enhance the overall predictability of the PBPK model for drug transporters.…”
Section: Discussionmentioning
confidence: 99%
“…Predictions of the role of drug transporters in specific populations are further hindered by the lack of knowledge pertaining to disease‐ or population‐specific factors. Recently, data on hepatic transporters in patients with hepatic impairment have been populated . Continued research is expected to enhance the overall predictability of the PBPK model for drug transporters.…”
Section: Discussionmentioning
confidence: 99%
“…When applied appropriately, the PBPK models are expected to provide more accurate predictions for transporter‐mediated disposition and DDIs as compared with static models. Examples of the use of PBPK modeling for the prediction of transporter‐mediated pharmacokinetics and DDIs are limited but increasing rapidly . An elegant in vitro–in vivo extrapolation (IVIVE)‐linked mechanistic PBPK framework has been developed to predict transporter‐mediated DDI between rosuvastatin and cyclosporine, with good accuracy.…”
Section: Progress In Methods For Predicting Hepatic Drug Transporter‐mentioning
confidence: 99%
“…Examples of the use of PBPK modeling for the prediction of transportermediated pharmacokinetics and DDIs are limited but increasing rapidly. [73][74][75][76][79][80][81][82][83][84][85][86] An elegant in vitro-in vivo extrapolation (IVIVE)-linked mechanistic PBPK framework has been developed to predict transportermediated DDI between rosuvastatin and cyclosporine, with good accuracy. This involves OATP1B1, OAT1B3, OATP2B1, NTCP, and BCRP, expressed at different physiological locations.…”
Section: Pbpk Modelmentioning
confidence: 99%
“…In addition to investigating PK in healthy volunteers, there should be close attention to understanding the compound’s PK characteristics in hepatically impaired populations. Several pathophysiological changes, which regularly occur in individuals with cirrhosis and PH, can significantly impact drug disposition in this population (Table ) . The 2003 U.S. Food and Drug Administration (FDA) Guidance for Industry recommends a formal PK study in hepatically impaired individuals if (1) hepatic metabolism and/or excretion accounts for >20% of the absorbed drug’s or its active metabolite’s disposition, or (2) the test compound is either known or suspected to have a narrow therapeutic window, or (3) there is insufficient information about the compound’s metabolism and excretion and its predicted therapeutic window.…”
Section: Pharmacokinetic and Pharmacodynamic Evaluation In Ph Clinicamentioning
confidence: 99%