Literature DB >> 33398593

Understanding Mechanisms of Food Effect and Developing Reliable PBPK Models Using a Middle-out Approach.

Xavier J H Pepin1, James E Huckle2, Ravindra V Alluri3, Sumit Basu4, Stephanie Dodd5, Neil Parrott6, Arian Emami Riedmaier7.   

Abstract

Over the last 10 years, 40% of approved oral drugs exhibited a significant effect of food on their pharmacokinetics (PK) and currently the only method to characterize the effect of food on drug absorption, which is recognized by the authorities, is to conduct a clinical evaluation. Within the pharmaceutical industry, there is a significant effort to predict the mechanism and clinical relevance of a food effect. Physiologically based pharmacokinetic (PBPK) models combining both drug-specific and physiology-specific data have been used to predict the effect of food on absorption and to reveal the underlying mechanisms. This manuscript provides detailed descriptions of how a middle-out modeling approach, combining bottom-up in vitro-based predictions with limited top-down fitting of key model parameters for clinical data, can be successfully used to predict the magnitude and direction of food effect when it is predicted poorly by a bottom-up approach. For nefazodone, a mechanistic clearance for the gut and liver was added, for furosemide, an absorption window was introduced, and for aprepitant, the biorelevant solubility was refined using multiple solubility measurements. In all cases, these adjustments were supported by literature data and showcased a rational approach to assess the factors limiting absorption and exposure.

Entities:  

Keywords:  PBPK; food effect; middle out; modeling; optimization; pharmacokinetics

Year:  2021        PMID: 33398593     DOI: 10.1208/s12248-020-00548-8

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


  44 in total

Review 1.  Clinical pharmacokinetics of nefazodone.

Authors:  D S Greene; R H Barbhaiya
Journal:  Clin Pharmacokinet       Date:  1997-10       Impact factor: 6.447

2.  Food Effect Projections via Physiologically Based Pharmacokinetic Modeling: Predictive Case Studies.

Authors:  Christophe Tistaert; Tycho Heimbach; Binfeng Xia; Neil Parrott; Tanay S Samant; Filippos Kesisoglou
Journal:  J Pharm Sci       Date:  2018-06-12       Impact factor: 3.534

Review 3.  Food for thought: formulating away the food effect - a PEARRL review.

Authors:  Joseph P O'Shea; René Holm; Caitriona M O'Driscoll; Brendan T Griffin
Journal:  J Pharm Pharmacol       Date:  2018-06-28       Impact factor: 3.765

Review 4.  The impact of food intake on the luminal environment and performance of oral drug products with a view to in vitro and in silico simulations: a PEARRL review.

Authors:  Christina Pentafragka; Mira Symillides; Mark McAllister; Jennifer Dressman; Maria Vertzoni; Christos Reppas
Journal:  J Pharm Pharmacol       Date:  2018-09-11       Impact factor: 3.765

5.  Bridging in vitro dissolution and in vivo exposure for acalabrutinib. Part II. A mechanistic PBPK model for IR formulation comparison, proton pump inhibitor drug interactions, and administration with acidic juices.

Authors:  Xavier J H Pepin; Andrea J Moir; James C Mann; Natalie J Sanderson; Richard Barker; Elizabeth Meehan; Allan P Plumb; George R Bailey; Dean S Murphy; Cecile M Krejsa; Marilee A Andrew; Timothy G Ingallinera; J Greg Slatter
Journal:  Eur J Pharm Biopharm       Date:  2019-07-12       Impact factor: 5.571

6.  Pharmacokinetics, absolute bioavailability, and disposition of [14C]nefazodone in humans.

Authors:  R H Barbhaiya; K A Dandekar; D S Greene
Journal:  Drug Metab Dispos       Date:  1996-01       Impact factor: 3.922

7.  Effect of diffusion layer pH and solubility on the dissolution rate of pharmaceutical bases and their hydrochloride salts. I: Phenazopyridine.

Authors:  A T Serajuddin; C I Jarowski
Journal:  J Pharm Sci       Date:  1985-02       Impact factor: 3.534

8.  Mechanistic Physiologically Based Pharmacokinetic Modeling of the Dissolution and Food Effect of a Biopharmaceutics Classification System IV Compound-The Venetoclax Story.

Authors:  Arian Emami Riedmaier; David J Lindley; Jeffrey A Hall; Steven Castleberry; Russell T Slade; Patricia Stuart; Robert A Carr; Thomas B Borchardt; Daniel A J Bow; Marjoleen Nijsen
Journal:  J Pharm Sci       Date:  2017-10-06       Impact factor: 3.534

9.  Nefazodone pharmacokinetics: assessment of nonlinearity, intra-subject variability and time to attain steady-state plasma concentrations after dose escalation and de-escalation.

Authors:  R H Barbhaiya; U A Shukla; P Chaikin; D S Greene; P H Marathe
Journal:  Eur J Clin Pharmacol       Date:  1996       Impact factor: 2.953

Review 10.  Predictive Performance of Physiologically Based Pharmacokinetic Models for the Effect of Food on Oral Drug Absorption: Current Status.

Authors:  Mengyao Li; Ping Zhao; Yuzhuo Pan; Christian Wagner
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-11-23
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  3 in total

1.  In Vitro-In Silico Tools for Streamlined Development of Acalabrutinib Amorphous Solid Dispersion Tablets.

Authors:  Deanna M Mudie; Aaron M Stewart; Jesus A Rosales; Molly S Adam; Michael M Morgen; David T Vodak
Journal:  Pharmaceutics       Date:  2021-08-13       Impact factor: 6.321

2.  A PBPK Model of Ternary Cyclodextrin Complex of ST-246 Was Built to Achieve a Reasonable IV Infusion Regimen for the Treatment of Human Severe Smallpox.

Authors:  Zhiwei Zhang; Shuang Fu; Furun Wang; Chunmiao Yang; Lingchao Wang; Meiyan Yang; Wenpeng Zhang; Wu Zhong; Xiaomei Zhuang
Journal:  Front Pharmacol       Date:  2022-03-16       Impact factor: 5.810

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

Authors:  Christian Wagner; Filippos Kesisoglou; Xavier J H Pepin; Neil Parrott; Arian Emami Riedmaier
Journal:  AAPS J       Date:  2021-06-17       Impact factor: 4.009

  3 in total

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