Literature DB >> 24435225

Application of physiologically based absorption modeling to formulation development of a low solubility, low permeability weak base: mechanistic investigation of food effect.

Hefei Zhang1, Binfeng Xia, Jennifer Sheng, Tycho Heimbach, Tsu-Han Lin, Handan He, Yanfeng Wang, Steven Novick, Ann Comfort.   

Abstract

Physiologically based pharmacokinetic (PBPK) modeling has been broadly used to facilitate drug development, hereby we developed a PBPK model to systematically investigate the underlying mechanisms of the observed positive food effect of compound X (cpd X) and to strategically explore the feasible approaches to mitigate the food effect. Cpd X is a weak base with pH-dependent solubility; the compound displays significant and dose-dependent food effect in humans, leading to a nonadherence of drug administration. A GastroPlus Opt logD Model was selected for pharmacokinetic simulation under both fasted and fed conditions, where the biopharmaceutic parameters (e.g., solubility and permeability) for cpd X were determined in vitro, and human pharmacokinetic disposition properties were predicted from preclinical data and then optimized with clinical pharmacokinetic data. A parameter sensitivity analysis was performed to evaluate the effect of particle size on the cpd X absorption. A PBPK model was successfully developed for cpd X; its pharmacokinetic parameters (e.g., C max, AUCinf, and t max) predicted at different oral doses were within ±25% of the observed mean values. The in vivo solubility (in duodenum) and mean precipitation time under fed conditions were estimated to be 7.4- and 3.4-fold higher than those under fasted conditions, respectively. The PBPK modeling analysis provided a reasonable explanation for the underlying mechanism for the observed positive food effect of the cpd X in humans. Oral absorption of the cpd X can be increased by reducing the particle size (<100 nm) of an active pharmaceutical ingredient under fasted conditions and therefore, reduce the cpd X food effect correspondingly.

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Year:  2014        PMID: 24435225      PMCID: PMC3969476          DOI: 10.1208/s12249-014-0075-1

Source DB:  PubMed          Journal:  AAPS PharmSciTech        ISSN: 1530-9932            Impact factor:   3.246


  20 in total

1.  Forecasting the in vivo performance of four low solubility drugs from their in vitro dissolution data.

Authors:  E Nicolaides; E Galia; C Efthymiopoulos; J B Dressman; C Reppas
Journal:  Pharm Res       Date:  1999-12       Impact factor: 4.200

Review 2.  Predicting the impact of physiological and biochemical processes on oral drug bioavailability.

Authors:  B Agoram; W S Woltosz; M B Bolger
Journal:  Adv Drug Deliv Rev       Date:  2001-10-01       Impact factor: 15.470

3.  Predicting the oral absorption of a poorly soluble, poorly permeable weak base using biorelevant dissolution and transfer model tests coupled with a physiologically based pharmacokinetic model.

Authors:  Christian Wagner; Ekarat Jantratid; Filippos Kesisoglou; Maria Vertzoni; Christos Reppas; Jennifer B Dressman
Journal:  Eur J Pharm Biopharm       Date:  2012-05-28       Impact factor: 5.571

4.  Predicting effect of food on extent of drug absorption based on physicochemical properties.

Authors:  Chong-Hui Gu; Hua Li; Jaquan Levons; Kimberley Lentz; Rajesh B Gandhi; Krishnaswamy Raghavan; Ronald L Smith
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

Review 5.  Understanding the effect of API properties on bioavailability through absorption modeling.

Authors:  Filippos Kesisoglou; Yunhui Wu
Journal:  AAPS J       Date:  2008-11-06       Impact factor: 4.009

6.  Utility of physiologically based modeling and preclinical in vitro/in vivo data to mitigate positive food effect in a BCS class 2 compound.

Authors:  Binfeng Xia; Tycho Heimbach; Tsu-han Lin; Shoufeng Li; Hefei Zhang; Jennifer Sheng; Handan He
Journal:  AAPS PharmSciTech       Date:  2013-08-17       Impact factor: 3.246

7.  Precipitation in the small intestine may play a more important role in the in vivo performance of poorly soluble weak bases in the fasted state: case example nelfinavir.

Authors:  Yasushi Shono; Ekarat Jantratid; Jennifer B Dressman
Journal:  Eur J Pharm Biopharm       Date:  2011-04-18       Impact factor: 5.571

8.  BDDCS applied to over 900 drugs.

Authors:  Leslie Z Benet; Fabio Broccatelli; Tudor I Oprea
Journal:  AAPS J       Date:  2011-08-05       Impact factor: 4.009

9.  Case studies for practical food effect assessments across BCS/BDDCS class compounds using in silico, in vitro, and preclinical in vivo data.

Authors:  Tycho Heimbach; Binfeng Xia; Tsu-han Lin; Handan He
Journal:  AAPS J       Date:  2012-11-10       Impact factor: 4.009

Review 10.  Predicting pharmacokinetics of drugs using physiologically based modeling--application to food effects.

Authors:  N Parrott; V Lukacova; G Fraczkiewicz; M B Bolger
Journal:  AAPS J       Date:  2009-01-29       Impact factor: 4.009

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  11 in total

1.  Exploring Canine-Human Differences in Product Performance. Part II: Use of Modeling and Simulation to Explore the Impact of Formulation on Ciprofloxacin In Vivo Absorption and Dissolution in Dogs.

Authors:  M N Martinez; B Mistry; V Lukacova; K A Lentz; J E Polli; S W Hoag; T Dowling; R Kona; R M Fahmy
Journal:  AAPS J       Date:  2017-03-06       Impact factor: 4.009

Review 2.  Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

3.  Characterising Drug Release from Immediate-Release Formulations of a Poorly Soluble Compound, Basmisanil, Through Absorption Modelling and Dissolution Testing.

Authors:  Cordula Stillhart; Neil J Parrott; Marc Lindenberg; Pascal Chalus; Darren Bentley; Anikó Szepes
Journal:  AAPS J       Date:  2017-02-24       Impact factor: 4.009

4.  Incorporation of the Time-Varying Postprandial Increase in Splanchnic Blood Flow into a PBPK Model to Predict the Effect of Food on the Pharmacokinetics of Orally Administered High-Extraction Drugs.

Authors:  Rachel H Rose; David B Turner; Sibylle Neuhoff; Masoud Jamei
Journal:  AAPS J       Date:  2017-05-19       Impact factor: 4.009

5.  Physiologically Based Absorption Modeling to Design Extended-Release Clinical Products for an Ester Prodrug.

Authors:  Xuan Ding; Jeffrey S Day; David C Sperry
Journal:  AAPS J       Date:  2016-07-12       Impact factor: 4.009

6.  Use of Modeling and Simulation Tools for Understanding the Impact of Formulation on the Absorption of a Low Solubility Compound: Ciprofloxacin.

Authors:  Marilyn Martinez; Bipin Mistry; Viera Lukacova; Jim Polli; Stephen Hoag; Thomas Dowling; Ravikanth Kona; Raafat Fahmy
Journal:  AAPS J       Date:  2016-04-26       Impact factor: 4.009

7.  Predicting Impact of Food and Feeding Time on Oral Absorption of Drugs with a Novel Rat Continuous Intestinal Absorption Model.

Authors:  Casey Radice; Ken Korzekwa; Swati Nagar
Journal:  Drug Metab Dispos       Date:  2022-03-26       Impact factor: 3.579

8.  Application of Physiologically Based Absorption Modeling to Characterize the Pharmacokinetic Profiles of Oral Extended Release Methylphenidate Products in Adults.

Authors:  Xiaoxia Yang; John Duan; Jeffrey Fisher
Journal:  PLoS One       Date:  2016-10-10       Impact factor: 3.240

Review 9.  Predicting Oral Drug Absorption: Mini Review on Physiologically-Based Pharmacokinetic Models.

Authors:  Louis Lin; Harvey Wong
Journal:  Pharmaceutics       Date:  2017-09-26       Impact factor: 6.321

10.  Integrating In Vitro, Modeling, and In Vivo Approaches to Investigate Warfarin Bioequivalence.

Authors:  X Zhang; H Wen; J Fan; B Vince; T Li; W Gao; M Kinjo; J Brown; W Sun; W Jiang; R Lionberger
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-07-13
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