Literature DB >> 21237256

In vitro-in vivo correlation: perspectives on model development.

Ying Lu1, Sungwon Kim, Kinam Park.   

Abstract

In vitro-in vivo correlation (IVIVC) allows prediction of the in vivo performance of a drug based on the in vitro drug release profiles. To develop an effective IVIVC, the physicochemical and biopharmaceutical properties of the drug as well as the physiological environment in the body must be taken into consideration. Key factors include drug solubility, pK(a), drug permeability, octanol-water partition coefficient and pH of environment. In general, construction of an IVIVC involves three stages of mathematical manipulation: construct a functional relationship between input (in vitro dissolution) and output (in vivo dissolution); establish a structural relationship using data collected; parameterize the unknowns in the structural model. Some key mathematical relationships used in IVIVC development are presented. The establishment of an effective IVIVC has important implications in quality control and regulatory compliance.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21237256      PMCID: PMC3099258          DOI: 10.1016/j.ijpharm.2011.01.010

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


  24 in total

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Authors:  Jennifer A Shabbits; Gigi N C Chiu; Lawrence D Mayer
Journal:  J Control Release       Date:  2002-12-05       Impact factor: 9.776

4.  Handling of computational in vitro/in vivo correlation problems by Microsoft Excel II. Distribution functions and moments.

Authors:  Frieder Langenbucher
Journal:  Eur J Pharm Biopharm       Date:  2003-01       Impact factor: 5.571

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Journal:  J Pharmacol Exp Ther       Date:  1957-03       Impact factor: 4.030

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Authors:  S Bigora; D Piscitelli; J Dowell; J Butler; C Farrell; J Devane; D Young
Journal:  Adv Exp Med Biol       Date:  1997       Impact factor: 2.622

8.  IVIVC for fenofibrate immediate release tablets using solubility and permeability as in vitro predictors for pharmacokinetics.

Authors:  Philipp Buch; Per Holm; Jesper Qvist Thomassen; Dieter Scherer; Robert Branscheid; Ute Kolb; Peter Langguth
Journal:  J Pharm Sci       Date:  2010-10       Impact factor: 3.534

9.  Sustained local delivery of dexamethasone by a novel intravascular eluting stent to prevent restenosis in the porcine coronary injury model.

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Journal:  J Am Coll Cardiol       Date:  1997-03-15       Impact factor: 24.094

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Journal:  J Pharm Sci       Date:  1985-02       Impact factor: 3.534

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  14 in total

Review 1.  Impact of excipient interactions on drug bioavailability from solid dosage forms.

Authors:  Ravikiran Panakanti; Ajit S Narang
Journal:  Pharm Res       Date:  2012-05-19       Impact factor: 4.200

Review 2.  Near-infrared biophotonics-based nanodrug release systems and their potential application for neuro-disorders.

Authors:  Vidya Sagar; Madhavan Nair
Journal:  Expert Opin Drug Deliv       Date:  2017-02-28       Impact factor: 6.648

3.  Application of absorption modeling to predict bioequivalence outcome of two batches of etoricoxib tablets.

Authors:  Amitava Mitra; Filippos Kesisoglou; Peter Dogterom
Journal:  AAPS PharmSciTech       Date:  2014-09-03       Impact factor: 3.246

4.  Bioavailability, bioequivalence, and in vitro-in vivo correlation of oxybutynin transdermal patch in rabbits.

Authors:  Achyut Khire; Pradeep Vavia
Journal:  Drug Deliv Transl Res       Date:  2014-04       Impact factor: 4.617

5.  Oral delivery of capsaicin using MPEG-PCL nanoparticles.

Authors:  Wei Peng; Xin-yi Jiang; Yuan Zhu; E Omari-Siaw; Wen-wen Deng; Jiang-nan Yu; Xi-ming Xu; Wei-ming Zhang
Journal:  Acta Pharmacol Sin       Date:  2014-12-01       Impact factor: 6.150

6.  A New Level A Type IVIVC for the Rational Design of Clinical Trials Toward Regulatory Approval of Generic Polymeric Long-Acting Injectables.

Authors:  Mahadevabharath R Somayaji; Debarun Das; Andrzej Przekwas
Journal:  Clin Pharmacokinet       Date:  2016-10       Impact factor: 6.447

7.  Controlled Drug Delivery: Historical perspective for the next generation.

Authors:  Yeon Hee Yun; Byung Kook Lee; Kinam Park
Journal:  J Control Release       Date:  2015-10-09       Impact factor: 9.776

8.  Different modulation of Panax notoginseng on the absorption profiling of triptolide and tripterine from Tripterygium wilfordii in rat intestine.

Authors:  Yiqun Li; Huiting Cao; Mengzhu Liu; Benyong Zhang; Xinlong Zhang; Donglei Shi; Liwei Guo; Jinao Duan; Xueping Zhou; Huaxu Zhu; Qichun Zhang
Journal:  Chin Med       Date:  2018-01-08       Impact factor: 5.455

9.  Input Estimation for Extended-Release Formulations Exemplified with Exenatide.

Authors:  Magnus Trägårdh; Michael J Chappell; Johan E Palm; Neil D Evans; David L I Janzén; Peter Gennemark
Journal:  Front Bioeng Biotechnol       Date:  2017-04-19

10.  Mimicking Cardiac Fibrosis in a Dish: Fibroblast Density Rather than Collagen Density Weakens Cardiomyocyte Function.

Authors:  Ariane C C van Spreeuwel; Noortje A M Bax; Bastiaan J van Nierop; Annemieke Aartsma-Rus; Marie-José T H Goumans; Carlijn V C Bouten
Journal:  J Cardiovasc Transl Res       Date:  2017-03-09       Impact factor: 4.132

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