Literature DB >> 25064726

Influence of the physiological variability of fasted gastric pH and tablet retention time on the variability of in vitro dissolution and simulated plasma profiles.

Nataša Nagelj Kovačič1, Mitja Pišlar2, Ilija Ilić3, Aleš Mrhar4, Marija Bogataj5.   

Abstract

The aim of the present study was to show that the physiological variability of fasted gastric pH and tablet gastric retention time contributes to the overall variability of simulated plasma profiles of diclofenac. Those two parameters were implemented into dissolution study and plasma profiles were simulated under assumptions that in vitro dissolution well represents that occurring in vivo, and that absorption profiles are identical to dissolution profiles, as diclofenac is a highly permeable drug. Dissolution experiments were performed using USP 2 apparatus and two consecutive dissolution media, namely, an acidic medium of various pH (ranging from 1-3), where tablets were kept for a certain time (10-200 min), and phosphate buffer (pH 6.8). It was shown that the acid pH value and acid retention time of tablets affect in vitro drug release, and consequently also influence the simulated plasma profiles. Lower acid pH resulted in lower plasma peaks at each studied acid retention time. Longer acid retention time caused lower plasma concentrations at lower acid pH values, whereas at pH 3 higher plasma concentrations were noted. Additionally, it was demonstrated that the variability of both parameters represents an important contribution to the overall variability of plasma profiles.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diclofenac sodium; Gastric pH variability; In vitro dissolution; Pharmacokinetic variability; Plasma concentration profiles simulation; Tablets gastric retention time variability

Mesh:

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Year:  2014        PMID: 25064726     DOI: 10.1016/j.ijpharm.2014.07.031

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  1 in total

1.  Evaluating In Vivo-In Vitro Correlation Using a Bayesian Approach.

Authors:  Junshan Qiu; Marilyn Martinez; Ram Tiwari
Journal:  AAPS J       Date:  2016-02-19       Impact factor: 4.009

  1 in total

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