Literature DB >> 28321831

The impact of gastric pH, volume, and emptying on the food effect of ziprasidone oral absorption.

Steven C Sutton1, Richard Nause2, Kuan Gandelman3.   

Abstract

In a recent food effect clinical study, the authors concluded that a meal consisting of ≥500 kcal, regardless of fat content, produced the maximal bioavailability for ziprasidone. Using GastroPlus™, a commercially available pharmacokinetic simulation software, a semiphysiological model-a kind of physiologically based pharmacokinetic (PBPK) absorption model-was developed that could predict the concentration-time profiles when ziprasidone was administered with any one of the five test meals or fasting. Ziprasidone intravenous pharmacokinetics and oral absorption permeability were determined from clinical studies following the intravenous and duodenal infusion of ziprasidone to volunteers. From the detailed dietary information of each meal provided in the previously published food effect study, the stomach pH, volume, and gastric emptying could be predicted. Incorporating these meal-specific parameters into the model improved the predictions beyond the default fed/fasted parameters commonly used in the software. Compared to the default models, the improved models resulted in an improved prediction of the average ziprasidone concentration-time profile for each meal. Using this type of semiphysiological absorption model, we have shown that the dietary contents of the meals should be taken into account to predict food effects for ziprasidone and perhaps other BCS class I or II compounds.

Entities:  

Keywords:  Food effects; Pharmacokinetic modeling

Mesh:

Substances:

Year:  2017        PMID: 28321831     DOI: 10.1208/s12248-017-0065-9

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  19 in total

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Authors:  Steven C Sutton
Journal:  AAPS J       Date:  2009-05-02       Impact factor: 4.009

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Journal:  J Clin Psychiatry       Date:  2008-10-21       Impact factor: 4.384

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5.  Use of Physiologically Based Pharmacokinetic Modeling for Predicting Drug-Food Interactions: Recommendations for Improving Predictive Performance of Low Confidence Food Effect Models.

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6.  Use of Physiologically Based Pharmacokinetic (PBPK) Modeling for Predicting Drug-Food Interactions: an Industry Perspective.

Authors:  Arian Emami Riedmaier; Kevin DeMent; James Huckle; Phil Bransford; Cordula Stillhart; Richard Lloyd; Ravindra Alluri; Sumit Basu; Yuan Chen; Varsha Dhamankar; Stephanie Dodd; Priyanka Kulkarni; Andrés Olivares-Morales; Chi-Chi Peng; Xavier Pepin; Xiaojun Ren; Thuy Tran; Christophe Tistaert; Tycho Heimbach; Filippos Kesisoglou; Christian Wagner; Neil Parrott
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