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Reig-López J, Cuquerella-Gilabert M, Bandín-Vilar E, Merino-Sanjuán M, Mangas-Sanjuán V, García-Arieta A. Bioequivalence risk assessment of oral formulations containing racemic ibuprofen through a chiral physiologically based pharmacokinetic model of ibuprofen enantiomers. Eur J Pharm Biopharm 2024; 199:114293. [PMID: 38641229 DOI: 10.1016/j.ejpb.2024.114293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 03/26/2024] [Accepted: 04/15/2024] [Indexed: 04/21/2024]
Abstract
The characterization of the time course of ibuprofen enantiomers can be useful in the selection of the most sensitive analyte in bioequivalence studies. Physiologically based pharmacokinetic (PBPK) modelling and simulation represents the most efficient methodology to virtually assess bioequivalence outcomes. In this work, we aim to develop and verify a PBPK model for ibuprofen enantiomers administered as a racemic mixture with different immediate release dosage forms to anticipate bioequivalence outcomes based on different particle size distributions. A PBPK model incorporating stereoselectivity and non-linearity in plasma protein binding and metabolism as well as R-to-S unidirectional inversion has been developed in Simcyp®. A dataset composed of 11 Phase I clinical trials with 54 scenarios (27 per enantiomer) and 14,452 observations (7129 for R-ibuprofen and 7323 for S-ibuprofen) was used. Prediction errors for AUC0-t and Cmax for both enantiomers fell within the 0.8-1.25 range in 50/54 (93 %) and 42/54 (78 %) of scenarios, respectively. Outstanding model performance, with 10/10 (100 %) of Cmax and 9/10 (90 %) of AUC0-t within the 0.9-1.1 range, was demonstrated for oral suspensions, which strongly supported its use for bioequivalence risk assessment. The deterministic bioequivalence risk assessment has revealed R-ibuprofen as the most sensitive analyte to detect differences in particle size distribution for oral suspensions containing 400 mg of racemic ibuprofen, suggesting that achiral bioanalytical methods would increase type II error and declare non-bioequivalence for formulations that are bioequivalent for the eutomer.
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Affiliation(s)
- Javier Reig-López
- Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain; Interuniversity Research Institute for Molecular Recognition and Technological Development, University of Valencia-Polytechnic University of Valencia, Spain
| | - Marina Cuquerella-Gilabert
- Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain; Interuniversity Research Institute for Molecular Recognition and Technological Development, University of Valencia-Polytechnic University of Valencia, Spain; Simulation Department, Empresarios Agrupados Internacional S.A., Madrid, Spain
| | - Enrique Bandín-Vilar
- Pharmacy Department, University Clinical Hospital Santiago de Compostela (CHUS), Spain; Clinical Pharmacology Group, Health Research Institute of Santiago de Compostela (IDIS), Spain; Pharmacology, Pharmacy and Pharmaceutical Technology Department, Faculty of Pharmacy, University of Santiago de Compostela (USC), Spain
| | - Matilde Merino-Sanjuán
- Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain; Interuniversity Research Institute for Molecular Recognition and Technological Development, University of Valencia-Polytechnic University of Valencia, Spain
| | - Víctor Mangas-Sanjuán
- Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain; Interuniversity Research Institute for Molecular Recognition and Technological Development, University of Valencia-Polytechnic University of Valencia, Spain.
| | - Alfredo García-Arieta
- Área de Farmacocinética y Medicamentos Genéricos, División de Farmacología y Evaluación Clínica, Departamento de Medicamentos de Uso Humano, Agencia Española de Medicamentos y Productos Sanitarios, Spain
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Kowthavarapu VK, Charbe NB, Gupta C, Iakovleva T, Stillhart C, Parrott NJ, Schmidt S, Cristofoletti R. Mechanistic Modeling of In Vitro Biopharmaceutic Data for a Weak Acid Drug: A Pathway Towards Deriving Fundamental Parameters for Physiologically Based Biopharmaceutic Modeling. AAPS J 2024; 26:44. [PMID: 38575716 DOI: 10.1208/s12248-024-00912-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/17/2024] [Indexed: 04/06/2024] Open
Abstract
Mechanistic modeling of in vitro experiments using metabolic enzyme systems enables the extrapolation of metabolic clearance for in vitro-in vivo predictions. This is particularly important for successful clearance predictions using physiologically based pharmacokinetic (PBPK) modeling. The concept of mechanistic modeling can also be extended to biopharmaceutics, where in vitro data is used to predict the in vivo pharmacokinetic profile of the drug. This approach further allows for the identification of parameters that are critical for oral drug absorption in vivo. However, the routine use of this analysis approach has been hindered by the lack of an integrated analysis workflow. The objective of this tutorial is to (1) review processes and parameters contributing to oral drug absorption in increasing levels of complexity, (2) outline a general physiologically based biopharmaceutic modeling workflow for weak acids, and (3) illustrate the outlined concepts via an ibuprofen (i.e., a weak, poorly soluble acid) case example in order to provide practical guidance on how to integrate biopharmaceutic and physiological data to better understand oral drug absorption. In the future, we plan to explore the usefulness of this tutorial/roadmap to inform the development of PBPK models for BCS 2 weak bases, by expanding the stepwise modeling approach to accommodate more intricate scenarios, including the presence of diprotic basic compounds and acidifying agents within the formulation.
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Affiliation(s)
- Venkata Krishna Kowthavarapu
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Nitin Bharat Charbe
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Churni Gupta
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Tatiana Iakovleva
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Cordula Stillhart
- Pharmaceutical Research & Development, Formulation & Process Development, F. Hoffmann-La Roche Ltd., 4070, Basel, Switzerland
| | - Neil John Parrott
- Pharmaceutical Research & Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., 4070, Basel, Switzerland
| | - Stephan Schmidt
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Rodrigo Cristofoletti
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA.
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Wang W, Ouyang D. Opportunities and challenges of physiologically based pharmacokinetic modeling in drug delivery. Drug Discov Today 2022; 27:2100-2120. [PMID: 35452792 DOI: 10.1016/j.drudis.2022.04.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 03/03/2022] [Accepted: 04/13/2022] [Indexed: 12/15/2022]
Abstract
Physiologically based pharmacokinetic (PBPK) modeling is an important in silico tool to bridge drug properties and in vivo PK behaviors during drug development. Over the recent decade, the PBPK method has been largely applied to drug delivery systems (DDS), including oral, inhaled, transdermal, ophthalmic, and complex injectable products. The related therapeutic agents have included small-molecule drugs, therapeutic proteins, nucleic acids, and even cells. Simulation results have provided important insights into PK behaviors of new dosage forms, which strongly support drug regulation. In this review, we comprehensively summarize recent progress in PBPK applications in drug delivery, which shows large opportunities for facilitating drug development. In addition, we discuss the challenges of applying this methodology from a practical viewpoint.
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Affiliation(s)
- Wei Wang
- Institute of Chinese Medical Sciences (ICMS), State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau, China; Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, China
| | - Defang Ouyang
- Institute of Chinese Medical Sciences (ICMS), State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau, China; Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, China.
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4
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Cámara-Martinez I, Blechar JA, Ruiz-Picazo A, Garcia-Arieta A, Calandria C, Merino-Sanjuan V, Langguth P, Gonzalez-Alvarez M, Bermejo M, Al-Gousous J, Gonzalez-Alvarez I. Level A IVIVC for immediate release tablets confirms in vivo predictive dissolution testing for ibuprofen. Int J Pharm 2021; 614:121415. [PMID: 34973409 DOI: 10.1016/j.ijpharm.2021.121415] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/15/2021] [Accepted: 12/18/2021] [Indexed: 12/30/2022]
Abstract
A bioequivalence study comparing two fixed dose combination tablets containing 200 mg ibuprofen and 30 mg pseudoephedrine hydrochloride showed bioequivalence for pseudoephedrine AUC and Cmax, but the reference product showed higher Cmax than the test product in fasted conditions. The main difference between products was the presence of tribasic calcium phosphate in the reference tablet, resulting in an increased surface pH of the dissolving ibuprofen particles under gastric and intestinal conditions and, consequently, higher solubility of ibuprofen. A mechanistic model based on mass balance and ionization equilibria was used to calculate the pH of the particle surface under different buffer conditions. The discrepancies in surface pH between test and reference tablet were pronounced in 0.1 M and 0.01 M hydrochloric acid and in diluted maleate 7 mM pH 6.5 and phosphate 5 mM pH 6.7 buffers (but negligible in compendial phosphate buffer pH 6.8. Only those dissolution tests using pre-treatment in acidic conditions could be used to build a one-step in vitro-in vivo correlation (IVIVC). This work shows the potential of these discriminatory and in vivo predictive dissolution methods to obtain IVIVCs for BCS class IIa drugs and for extending BCS biowaivers to BCS class IIa drugs.
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Affiliation(s)
- I Cámara-Martinez
- Engineering: Pharmacokinetics and Pharmaceutical Technology Area, Miguel Hernandez University, Spain; Pharmacy, Pharmaceutical Technology and Parasitology Area, University of Valencia. Spain
| | - J A Blechar
- Institute of Pharmacy and Biomedical Science, Johannes Gutenberg University, Mainz, Germany
| | - A Ruiz-Picazo
- Engineering: Pharmacokinetics and Pharmaceutical Technology Area, Miguel Hernandez University, Spain
| | - A Garcia-Arieta
- Area of Pharmacokinetics and Generic Medicines, Division of Pharmacology and Clinical Evaluation, Department of Human Use Medicines. Spanish Agency for Medicines and Health Care Products, Spain.
| | | | - V Merino-Sanjuan
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, USA
| | - P Langguth
- Institute of Pharmacy and Biomedical Science, Johannes Gutenberg University, Mainz, Germany
| | - M Gonzalez-Alvarez
- Engineering: Pharmacokinetics and Pharmaceutical Technology Area, Miguel Hernandez University, Spain
| | - M Bermejo
- Engineering: Pharmacokinetics and Pharmaceutical Technology Area, Miguel Hernandez University, Spain.
| | - J Al-Gousous
- Institute of Pharmacy and Biomedical Science, Johannes Gutenberg University, Mainz, Germany; Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, USA
| | - I Gonzalez-Alvarez
- Engineering: Pharmacokinetics and Pharmaceutical Technology Area, Miguel Hernandez University, Spain
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Abrahamsson B, Butler J, Cristofoletti R, Kostewicz E, Saal C, Reppas C. Jennifer Dressman - 40 years of Oral Drug Absorption. J Pharm Sci 2021; 111:14-17. [PMID: 34699841 DOI: 10.1016/j.xphs.2021.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 10/19/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Bertil Abrahamsson
- Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca Gothenburg, Sweden
| | - James Butler
- GlaxoSmithKline Research and Development, Ware, Hertfordshire SG12 0DP, UK
| | - Rodrigo Cristofoletti
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
| | - Edmund Kostewicz
- Institute of Pharmaceutical Technology, Goethe University Frankfurt, Germany
| | - Christoph Saal
- Merck KGaA, Frankfurter Strasse 250, 64293 Darmstadt, Germany
| | - Christos Reppas
- Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Zografou, Greece.
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Loisios-Konstantinidis I, Dressman J. Physiologically Based Pharmacokinetic/Pharmacodynamic Modeling to Support Waivers of In Vivo Clinical Studies: Current Status, Challenges, and Opportunities. Mol Pharm 2020; 18:1-17. [PMID: 33320002 DOI: 10.1021/acs.molpharmaceut.0c00903] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) modeling has been extensively applied to quantitatively translate in vitro data, predict the in vivo performance, and ultimately support waivers of in vivo clinical studies. In the area of biopharmaceutics and within the context of model-informed drug discovery and development (MID3), there is a rapidly growing interest in applying verified and validated mechanistic PBPK models to waive in vivo clinical studies. However, the regulatory acceptance of PBPK analyses for biopharmaceutics and oral drug absorption applications, which is also referred to variously as "PBPK absorption modeling" [Zhang et al. CPT: Pharmacometrics Syst. Pharmacol. 2017, 6, 492], "physiologically based absorption modeling", or "physiologically based biopharmaceutics modeling" (PBBM), remains rather low [Kesisoglou et al. J. Pharm. Sci. 2016, 105, 2723] [Heimbach et al. AAPS J. 2019, 21, 29]. Despite considerable progress in the understanding of gastrointestinal (GI) physiology, in vitro biopharmaceutic and in silico tools, PBPK models for oral absorption often suffer from an incomplete understanding of the physiology, overparameterization, and insufficient model validation and/or platform verification, all of which can represent limitations to their translatability and predictive performance. The complex interactions of drug substances and (bioenabling) formulations with the highly dynamic and heterogeneous environment of the GI tract in different age, ethnic, and genetic groups as well as disease states have not been yet fully elucidated, and they deserve further research. Along with advancements in the understanding of GI physiology and refinement of current or development of fully mechanistic in silico tools, we strongly believe that harmonization, interdisciplinary interaction, and enhancement of the translational link between in vitro, in silico, and in vivo will determine the future of PBBM. This Perspective provides an overview of the current status of PBBM, reflects on challenges and knowledge gaps, and discusses future opportunities around PBPK/PD models for oral absorption of small and large molecules to waive in vivo clinical studies.
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Affiliation(s)
| | - Jennifer Dressman
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt am Main 60438, Germany.,Fraunhofer Institute of Translational Pharmacology and Medicine (ITMP), Carl-von-Noorden Platz 9, Frankfurt am Main 60438, Germany
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7
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Loisios-Konstantinidis I, Hens B, Mitra A, Kim S, Chiann C, Cristofoletti R. Using Physiologically Based Pharmacokinetic Modeling to Assess the Risks of Failing Bioequivalence Criteria: a Tale of Two Ibuprofen Products. AAPS JOURNAL 2020; 22:113. [DOI: 10.1208/s12248-020-00495-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 07/31/2020] [Indexed: 12/26/2022]
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8
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Cicali B, Long T, Kim S, Cristofoletti R. Assessing the impact of cystic fibrosis on the antipyretic response of ibuprofen in children: Physiologically-based modeling as a candle in the dark. Br J Clin Pharmacol 2020; 86:2247-2255. [PMID: 32335930 DOI: 10.1111/bcp.14326] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 04/13/2020] [Accepted: 04/15/2020] [Indexed: 01/21/2023] Open
Abstract
AIM The goal of this study is to present the utility of quantitative modelling for extrapolation of drug safety and efficacy to underrepresented populations in controlled clinical trials. To illustrate this, the stepwise development of an integrated disease/pharmacokinetics/pharmacodynamics model of antipyretic efficacy of ibuprofen in children with cystic fibrosis (CF) is presented along with therapy optimization suggestions. METHOD Published clinical trials, in vitro data, and drug physiochemical properties were used to develop an ibuprofen-mediated antipyresis model for febrile children also having CF. Workflow included first developing a mechanistic absorption model using in vitro-in vivo extrapolation followed by physiologically-based pharmacokinetic (PBPK) modelling. The verified PBPK model was then scaled to paediatric patients with CF. Once verified, the PBPK model was linked to an indirect response model of antipyresis for simulation of the overall antipyretic efficacy of ibuprofen in CF children. RESULTS Model simulations showed therapeutic inequivalence between healthy children and paediatric patients with CF; Cmax and AUC decreased by 39% (32-46%) and 44% (36-52%), respectively, in patients. Further, and in agreement with literature reports, predicted pharmacodynamics time courses suggest a slower onset and faster offset of action in patients compared to healthy children, 30 and 60 minutes, respectively. Exploratory simulations suggest an increase in dosing frequency for CF children as a better therapeutic strategy. CONCLUSION Model-informed approaches to leveraging knowledge obtained throughout the life cycle of drug development may play a key role in extrapolating drug efficacy and safety to underrepresented populations.
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Affiliation(s)
- Brian Cicali
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
| | - Tao Long
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
| | - Sarah Kim
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
| | - Rodrigo Cristofoletti
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
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9
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Loisios-Konstantinidis I, Cristofoletti R, Fotaki N, Turner DB, Dressman J. Establishing virtual bioequivalence and clinically relevant specifications using in vitro biorelevant dissolution testing and physiologically-based population pharmacokinetic modeling. case example: Naproxen. Eur J Pharm Sci 2020; 143:105170. [DOI: 10.1016/j.ejps.2019.105170] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/25/2019] [Accepted: 11/26/2019] [Indexed: 01/19/2023]
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10
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Cristofoletti R, Hens B, Patel N, Esteban VV, Schmidt S, Dressman J. Integrating Drug- and Formulation-Related Properties With Gastrointestinal Tract Variability Using a Product-Specific Particle Size Approach: Case Example Ibuprofen. J Pharm Sci 2019; 108:3842-3847. [PMID: 31539541 DOI: 10.1016/j.xphs.2019.09.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 09/06/2019] [Accepted: 09/11/2019] [Indexed: 11/18/2022]
Abstract
In the present study, an in vitro-in vivo extrapolation of dissolution integrated to a physiologically based pharmacokinetics modeling approach, considering a product-specific particle size distribution and a self-buffering effect of the drug, is introduced and appears to be a promising translational modeling strategy to support drug product development, manufacturing changes and setting clinically relevant specifications for immediate release formulations containing ibuprofen and other weak acids with similar properties.
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Affiliation(s)
- Rodrigo Cristofoletti
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida 32827.
| | - Bart Hens
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Nikunjkumar Patel
- Simcyp Limited (A Certara Company), Blades Enterprise Centre, Sheffield, UK
| | - Valvanera Vozmediano Esteban
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida 32827
| | - Stephan Schmidt
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida 32827
| | - Jennifer Dressman
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt am Main, Germany
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Loisios-Konstantinidis I, Paraiso RLM, Fotaki N, McAllister M, Cristofoletti R, Dressman J. Application of the relationship between pharmacokinetics and pharmacodynamics in drug development and therapeutic equivalence: a PEARRL review. J Pharm Pharmacol 2019; 71:699-723. [DOI: 10.1111/jphp.13070] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 01/19/2019] [Indexed: 12/18/2022]
Abstract
Abstract
Objectives
The objective of this review was to provide an overview of pharmacokinetic/pharmacodynamic (PK/PD) models, focusing on drug-specific PK/PD models and highlighting their value added in drug development and regulatory decision-making.
Key findings
Many PK/PD models, with varying degrees of complexity and physiological understanding have been developed to evaluate the safety and efficacy of drug products. In special populations (e.g. paediatrics), in cases where there is genetic polymorphism and in other instances where therapeutic outcomes are not well described solely by PK metrics, the implementation of PK/PD models is crucial to assure the desired clinical outcome. Since dissociation between the pharmacokinetic and pharmacodynamic profiles is often observed, it is proposed that physiologically based pharmacokinetic and PK/PD models be given more weight by regulatory authorities when assessing the therapeutic equivalence of drug products.
Summary
Modelling and simulation approaches already play an important role in drug development. While slowly moving away from ‘one-size fits all’ PK methodologies to assess therapeutic outcomes, further work is required to increase confidence in PK/PD models in translatability and prediction of various clinical scenarios to encourage more widespread implementation in regulatory decision-making.
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Affiliation(s)
| | - Rafael L M Paraiso
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt am Main, Germany
| | - Nikoletta Fotaki
- Department of Pharmacy and Pharmacology, Faculty of Science, University of Bath, Bath, UK
| | | | - Rodrigo Cristofoletti
- Division of Therapeutic Equivalence, Brazilian Health Surveillance Agency (ANVISA), Brasilia, Brazil
| | - Jennifer Dressman
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt am Main, Germany
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Cristofoletti R, Rowland M, Lesko LJ, Blume H, Rostami-Hodjegan A, Dressman JB. Past, Present, and Future of Bioequivalence: Improving Assessment and Extrapolation of Therapeutic Equivalence for Oral Drug Products. J Pharm Sci 2018; 107:2519-2530. [DOI: 10.1016/j.xphs.2018.06.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 05/03/2018] [Accepted: 06/12/2018] [Indexed: 12/28/2022]
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Emami Riedmaier A, Lindley DJ, Hall JA, Castleberry S, Slade RT, Stuart P, Carr RA, Borchardt TB, Bow DAJ, Nijsen M. Mechanistic Physiologically Based Pharmacokinetic Modeling of the Dissolution and Food Effect of a Biopharmaceutics Classification System IV Compound-The Venetoclax Story. J Pharm Sci 2017; 107:495-502. [PMID: 28993217 DOI: 10.1016/j.xphs.2017.09.027] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 09/08/2017] [Accepted: 09/18/2017] [Indexed: 10/18/2022]
Abstract
Venetoclax, a selective B-cell lymphoma-2 inhibitor, is a biopharmaceutics classification system class IV compound. The aim of this study was to develop a physiologically based pharmacokinetic (PBPK) model to mechanistically describe absorption and disposition of an amorphous solid dispersion formulation of venetoclax in humans. A mechanistic PBPK model was developed incorporating measured amorphous solubility, dissolution, metabolism, and plasma protein binding. A middle-out approach was used to define permeability. Model predictions of oral venetoclax pharmacokinetics were verified against clinical studies of fed and fasted healthy volunteers, and clinical drug interaction studies with strong CYP3A inhibitor (ketoconazole) and inducer (rifampicin). Model verification demonstrated accurate prediction of the observed food effect following a low-fat diet. Ratios of predicted versus observed Cmax and area under the curve of venetoclax were within 0.8- to 1.25-fold of observed ratios for strong CYP3A inhibitor and inducer interactions, indicating that the venetoclax elimination pathway was correctly specified. The verified venetoclax PBPK model is one of the first examples mechanistically capturing absorption, food effect, and exposure of an amorphous solid dispersion formulated compound. This model allows evaluation of untested drug-drug interactions, especially those primarily occurring in the intestine, and paves the way for future modeling of biopharmaceutics classification system IV compounds.
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Affiliation(s)
| | - David J Lindley
- Drug Product Development, AbbVie Inc., North Chicago, Illinois 60064
| | - Jeffrey A Hall
- Drug Product Development, AbbVie Inc., North Chicago, Illinois 60064
| | | | - Russell T Slade
- Drug Product Development, AbbVie Inc., North Chicago, Illinois 60064
| | - Patricia Stuart
- DMPK and Translational Modeling, AbbVie Inc., North Chicago, Illinois 60064
| | - Robert A Carr
- DMPK and Translational Modeling, AbbVie Inc., North Chicago, Illinois 60064
| | | | - Daniel A J Bow
- DMPK and Translational Modeling, AbbVie Inc., North Chicago, Illinois 60064
| | - Marjoleen Nijsen
- DMPK and Translational Modeling, AbbVie Inc., North Chicago, Illinois 60064
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