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Djuris J, Cvijic S, Djekic L. Model-Informed Drug Development: In Silico Assessment of Drug Bioperformance following Oral and Percutaneous Administration. Pharmaceuticals (Basel) 2024; 17:177. [PMID: 38399392 PMCID: PMC10892858 DOI: 10.3390/ph17020177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/23/2023] [Accepted: 12/29/2023] [Indexed: 02/25/2024] Open
Abstract
The pharmaceutical industry has faced significant changes in recent years, primarily influenced by regulatory standards, market competition, and the need to accelerate drug development. Model-informed drug development (MIDD) leverages quantitative computational models to facilitate decision-making processes. This approach sheds light on the complex interplay between the influence of a drug's performance and the resulting clinical outcomes. This comprehensive review aims to explain the mechanisms that control the dissolution and/or release of drugs and their subsequent permeation through biological membranes. Furthermore, the importance of simulating these processes through a variety of in silico models is emphasized. Advanced compartmental absorption models provide an analytical framework to understand the kinetics of transit, dissolution, and absorption associated with orally administered drugs. In contrast, for topical and transdermal drug delivery systems, the prediction of drug permeation is predominantly based on quantitative structure-permeation relationships and molecular dynamics simulations. This review describes a variety of modeling strategies, ranging from mechanistic to empirical equations, and highlights the growing importance of state-of-the-art tools such as artificial intelligence, as well as advanced imaging and spectroscopic techniques.
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Affiliation(s)
- Jelena Djuris
- Department of Pharmaceutical Technology and Cosmetology, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia; (S.C.); (L.D.)
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Vinarov Z, Butler J, Kesisoglou F, Koziolek M, Augustijns P. Assessment of food effects during clinical development. Int J Pharm 2023; 635:122758. [PMID: 36801481 DOI: 10.1016/j.ijpharm.2023.122758] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 01/27/2023] [Accepted: 02/17/2023] [Indexed: 02/21/2023]
Abstract
Food-drug interactions frequently hamper oral drug development due to various physicochemical, physiological and formulation-dependent mechanisms. This has stimulated the development of a range of promising biopharmaceutical assessment tools which, however, lack standardized settings and protocols. Hence, this manuscript aims to provide an overview of the general approach and the methodology used in food effect assessment and prediction. For in vitro dissolution-based predictions, the expected food effect mechanism should be carefully considered when selecting the level of complexity of the model, together with its drawbacks and advantages. Typically, in vitro dissolution profiles are then incorporated into physiologically based pharmacokinetic models, which can estimate the impact of food-drug interactions on bioavailability within 2-fold prediction error, at least. Positive food effects related to drug solubilization in the GI tract are easier to predict than negative food effects. Preclinical animal models also provide a good level of food effect prediction, with beagle dogs remaining the gold standard. When solubility-related food-drug interactions have large clinical impact, advanced formulation approaches can be used to improve fasted state pharmacokinetics, hence decreasing the fasted/fed difference in oral bioavailability. Finally, the knowledge from all studies should be combined to secure regulatory approval of the labelling instructions.
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Affiliation(s)
- Zahari Vinarov
- Department of Chemical and Pharmaceutical Engineering, Sofia University, Sofia, Bulgaria; Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - James Butler
- Medicine Development and Supply, GlaxoSmithKline Research and Development, Ware, United Kingdom
| | | | - Mirko Koziolek
- AbbVie Deutschland GmbH & Co. KG, Small Molecule CMC Development, Ludwigshafen, Germany
| | - Patrick Augustijns
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
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Xu J, Zhang L, Shao X. Applications of bio-predictive dissolution tools for the development of solid oral dosage forms: Current industry experience. Drug Dev Ind Pharm 2022; 48:79-97. [PMID: 35786119 DOI: 10.1080/03639045.2022.2098315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Development and optimization of orally administered drug products often require bio-predictive tools to help with informing formulation and manufacturing decisions. Reliable bio-predictive dissolution toolkits not only allow rational development of target formulations without having to conduct excessive in vivo studies but also help in detecting critical material attributes (CMAs), critical formulation variables (CFVs), or critical process parameters (CPPs) that could impact a drug's in vivo performance. To provide early insights for scientists on the development of a bio-predictive method for drug product development, this review summarizes current phase-appropriate bio-predictive dissolution approaches applicable to address typical concerns on solubility-limited absorption, food effect, achlorhydria, development of extended-release formulation, clinically relevant specification, and biowaiver. The selection of an in vitro method which can capture the key rate-limiting step(s) of the in vivo dissolution and/or absorption is considered to have a better chance to produce a meaningful in vitro-in vivo correlation (IVIVC) or in vitro-in vivo relationship (IVIVR).
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Affiliation(s)
- Jin Xu
- Pharmaceutical Development, Biogen Inc., 115 Broadway, Cambridge, MA 02142, United State
| | - Limin Zhang
- Analytical Strategy and Operations, Bristol-Myers Squibb, Co., One Squibb Drive, New Brunswick, NJ 08903, United State
| | - Xi Shao
- Analytical R&D, Development Science, AbbVie Inc., 1 N Waukegan Rd, North Chicago, IL, 60064, United States
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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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Radice C, Korzekwa K, Nagar S. Predicting impact of food and feeding time on oral absorption of drugs with a novel rat continuous intestinal absorption model. Drug Metab Dispos 2022; 50:750-761. [PMID: 35339986 DOI: 10.1124/dmd.122.000831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/17/2022] [Indexed: 11/22/2022] Open
Abstract
Intricacies in intestinal physiology, drug properties, and food effects should be incorporated into models to predict complex oral drug absorption. A previously published human continuous intestinal absorption model based on the convection-diffusion equation was modified specifically for the male Sprague-Dawley rat in this report. Species-specific physiological conditions along intestinal length 'x' - experimental velocity and pH under fasted and fed conditions, were measured and incorporated into the intestinal absorption model. Concentration- time (C-t) profiles were measured upon a single IV and PO dose for three drugs, amlodipine (AML), digoxin (DIG), and glyburide (GLY). Absorption profiles were predicted and compared with experimentally collected data under three feeding conditions: 12-hr fasted rats were provided food at two specific times after oral drug dose (1 hr and 2 hr for AML and GLY, 0.5 hr and 1 hr for DIG), or were provided food for the entire study. IV versus PO C-t profiles suggested absorption even at later times, and informed design of appropriate mathematical input functions based on experimental feeding times. With this model, AML, DIG and GLY oral C-t profiles for all feeding groups were generally well predicted, with exposure overlap coefficients (EOC) in the range of 0.80 - 0.97. Efflux transport for DIG and uptake and efflux transport for GLY were included, modeling uptake transporter inhibition in the presence of food. Results indicate that the continuous intestinal rat model incorporates complex physiological processes and feeding times relative to drug dose, into a simple framework to provide accurate prediction of oral absorption. Significance Statement A novel rat continuous intestinal model predicts drug absorption with respect to time and intestinal length. Feeding time relative to dose was modeled as a key effect. Experimental fasted/fed intestinal pH and velocity, efflux and uptake transporter expression along intestinal length, and uptake transporter inhibition in the presence of food, were modeled. The model uses the pharmacokinetic profiles of three model drugs and provides a novel framework to study food effects on absorption.
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Affiliation(s)
- Casey Radice
- Pharmaceutical Sciences, Temple University School of Pharmacy, United States
| | - Ken Korzekwa
- Pharmaceutical Sciences, Temple University School of Pharmacy, United States
| | - Swati Nagar
- Pharmaceutical Sciences, Temple University School of Pharmacy, United States
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Wang W, Ye Z, Gao H, Ouyang D. Computational pharmaceutics - A new paradigm of drug delivery. J Control Release 2021; 338:119-136. [PMID: 34418520 DOI: 10.1016/j.jconrel.2021.08.030] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 08/17/2021] [Accepted: 08/17/2021] [Indexed: 01/18/2023]
Abstract
In recent decades pharmaceutics and drug delivery have become increasingly critical in the pharmaceutical industry due to longer time, higher cost, and less productivity of new molecular entities (NMEs). However, current formulation development still relies on traditional trial-and-error experiments, which are time-consuming, costly, and unpredictable. With the exponential growth of computing capability and algorithms, in recent ten years, a new discipline named "computational pharmaceutics" integrates with big data, artificial intelligence, and multi-scale modeling techniques into pharmaceutics, which offered great potential to shift the paradigm of drug delivery. Computational pharmaceutics can provide multi-scale lenses to pharmaceutical scientists, revealing physical, chemical, mathematical, and data-driven details ranging across pre-formulation studies, formulation screening, in vivo prediction in the human body, and precision medicine in the clinic. The present paper provides a comprehensive and detailed review in all areas of computational pharmaceutics and "Pharma 4.0", including artificial intelligence and machine learning algorithms, molecular modeling, mathematical modeling, process simulation, and physiologically based pharmacokinetic (PBPK) modeling. We not only summarized the theories and progress of these technologies but also discussed the regulatory requirements, current challenges, and future perspectives in the area, such as talent training and a culture change in the future pharmaceutical industry.
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Affiliation(s)
- Wei Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China
| | - Zhuyifan Ye
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China
| | - Hanlu Gao
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China
| | - Defang Ouyang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
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Morphological transition of M. tuberculosis and modulation of intestinal permeation by food grade cationic nanoemulsion: In vitro-ex vivo-in silico GastroPlus™ studies. J Drug Deliv Sci Technol 2020. [DOI: 10.1016/j.jddst.2020.101971] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Cheng L, Wong H. Food Effects on Oral Drug Absorption: Application of Physiologically-Based Pharmacokinetic Modeling as a Predictive Tool. Pharmaceutics 2020; 12:pharmaceutics12070672. [PMID: 32708881 PMCID: PMC7408216 DOI: 10.3390/pharmaceutics12070672] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 07/15/2020] [Accepted: 07/15/2020] [Indexed: 12/13/2022] Open
Abstract
The bioavailability of an orally administered small molecule is often dictated by drug-specific physicochemical characteristics and is influenced by many biological processes. For example, in fed or fasted conditions, the transit time within the gastrointestinal tract can vary, confounding the ability to predict the oral absorption. As such, the effects of food on the pharmacokinetics of compounds in the various biopharmaceutics classification system (BCS) classes need to be assessed. The consumption of food leads to physiological changes, including fluctuations in the gastric and intestinal pH, a delay in gastric emptying, an increased bile secretion, and an increased splanchnic and hepatic blood flow. Despite the significant impact of a drug's absorption and dissolution, food effects have not been fully studied and are often overlooked. Physiologically-based pharmacokinetic (PBPK) models can be used to mechanistically simulate a compound's pharmacokinetics under fed or fasted conditions, while integrating drug properties such as solubility and permeability. This review discusses the PBPK models published in the literature predicting the food effects, the models' strengths and shortcomings, as well as future steps to mitigate the current knowledge gap. We observed gaps in knowledge which limits the ability of PBPK models to predict the negative food effects and food effects in the pediatric population. Overall, the further development of PBPK models to predict food effects will provide a mechanistic basis to understand a drug's behavior in fed and fasted conditions, and will help enable the drug development process.
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Preformulation Studies and Enabling Formulation Selection for an Insoluble Compound at Preclinical Stage-From In Vitro, In Silico to In Vivo. J Pharm Sci 2019; 109:950-958. [PMID: 31647952 DOI: 10.1016/j.xphs.2019.10.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/19/2019] [Accepted: 10/11/2019] [Indexed: 01/15/2023]
Abstract
The objective of this work was to identify an enabling formulation for an insoluble compound ZL006 with potency of boosting leukocytes after chemotherapy. The low oral bioavailability (<1%) of its conventional suspension was the hurdle for the preclinical evaluation via oral administration. Preformulation studies including physical form screening and physicochemical properties determination were performed. Polymorphism was observed, and the more thermodynamically stable form was selected for further studies. ZL006 showed certain supersaturation solubility, although the thermodynamic solubility in FaSSIF was low, which indicated the supersaturating formulation might work. Parameter sensitivity analysis by in silico simulation predicted that in vivo exposure was sensitive to solubility, while particle size reduction would have limited impact on exposure. Based on in silico prediction and the understanding of the molecule from preformulation studies, solid dispersion approach was selected. A preliminary dose escalation pharmacokinetic study in rats demonstrated that in vivo exposure increased in dose-proportional manner from 12.5 mg/kg to 50 mg/kg with around 50% oral bioavailability after oral dosing of the solid dispersion. This work showed that combination of preformulation studies and in silico simulation could efficiently guide the selection of enabling formulation, which could save resources at preclinical stage.
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Physiologically based absorption modeling to predict bioequivalence of controlled release and immediate release oral products. Eur J Pharm Biopharm 2019; 134:117-125. [DOI: 10.1016/j.ejpb.2018.11.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 11/20/2018] [Accepted: 11/21/2018] [Indexed: 11/23/2022]
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Pentafragka C, Symillides M, McAllister M, Dressman J, Vertzoni M, Reppas C. 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. J Pharm Pharmacol 2018; 71:557-580. [DOI: 10.1111/jphp.12999] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 08/04/2018] [Indexed: 01/24/2023]
Abstract
Abstract
Objectives
Using the type of meal and dosing conditions suggested by regulatory agencies as a basis, this review has two specific objectives: first, to summarize our understanding on the impact of food intake on luminal environment and drug product performance and second, to summarize the usefulness and limitations of available in vitro and in silico methodologies for the evaluation of drug product performance after food intake.
Key findings
Characterization of the luminal environment and studies evaluating product performance in the lumen, under conditions suggested by regulatory agencies for simulating the fed state, are limited. Various in vitro methodologies have been proposed for evaluating drug product performance in the fed state, but systematic validation is lacking. Physiologically based pharmacokinetic (PBPK) modelling approaches require the use of in vitro biorelevant data and, to date, have been used primarily for investigating the mechanisms via which an already observed food effect is mediated.
Summary
Better understanding of the impact of changes induced by the meal administration conditions suggested by regulatory agencies on the luminal fate of the drug product is needed. Relevant information will be useful for optimizing the in vitro test methods and increasing the usefulness of PBPK modelling methodologies.
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Affiliation(s)
- Christina Pentafragka
- Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Mira Symillides
- Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Jennifer Dressman
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt/Main, Germany
| | - Maria Vertzoni
- Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Christos Reppas
- Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
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Yamazaki S, Loi CM, Kimoto E, Costales C, Varma MV. Application of Physiologically Based Pharmacokinetic Modeling in Understanding Bosutinib Drug-Drug Interactions: Importance of Intestinal P-Glycoprotein. Drug Metab Dispos 2018; 46:1200-1211. [PMID: 29739809 DOI: 10.1124/dmd.118.080424] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 05/07/2018] [Indexed: 12/21/2022] Open
Abstract
Bosutinib is an orally available Src/Abl tyrosine kinase inhibitor indicated for the treatment of patients with Ph+ chronic myelogenous leukemia at a clinically recommended dose of 500 mg once daily. Clinical results indicated that increases in bosutinib oral exposures were supraproportional at the lower doses (50-200 mg) and approximately dose-proportional at the higher doses (200-600 mg). Bosutinib is a substrate of CYP3A4 and P-glycoprotein and exhibits pH-dependent solubility with moderate intestinal permeability. These findings led us to investigate the factors influencing the underlying pharmacokinetic mechanisms of bosutinib with physiologically based pharmacokinetic (PBPK) models. Our primary objectives were to: 1) refine the previously developed bosutinib PBPK model on the basis of the latest oral bioavailability data and 2) verify the refined PBPK model with P-glycoprotein kinetics on the basis of the bosutinib drug-drug interaction (DDI) results with ketoconazole and rifampin. Additionally, the verified PBPK model was applied to predict bosutinib DDIs with dual CYP3A/P-glycoprotein inhibitors. The results indicated that 1) the refined PBPK model adequately described the observed plasma concentration-time profiles of bosutinib and 2) the verified PBPK model reasonably predicted the effects of ketoconazole and rifampin on bosutinib exposures by accounting for intestinal P-glycoprotein inhibition/induction. These results suggested that bosutinib DDI mechanism could involve not only CYP3A4-mediated metabolism but also P-glycoprotein-mediated efflux on absorption. In summary, P-glycoprotein kinetics could constitute an element in the PBPK models critical to understanding the pharmacokinetic mechanism of dual CYP3A/P-glycoprotein substrates, such as bosutinib, that exhibit nonlinear pharmacokinetics owing largely to a saturation of intestinal P-glycoprotein-mediated efflux.
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Affiliation(s)
- Shinji Yamazaki
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, San Diego, California (S.Y., C.-M.L.) and Groton, Connecticut (E.K., C.C., M.V.V.)
| | - Cho-Ming Loi
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, San Diego, California (S.Y., C.-M.L.) and Groton, Connecticut (E.K., C.C., M.V.V.)
| | - Emi Kimoto
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, San Diego, California (S.Y., C.-M.L.) and Groton, Connecticut (E.K., C.C., M.V.V.)
| | - Chester Costales
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, San Diego, California (S.Y., C.-M.L.) and Groton, Connecticut (E.K., C.C., M.V.V.)
| | - Manthena V Varma
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, San Diego, California (S.Y., C.-M.L.) and Groton, Connecticut (E.K., C.C., M.V.V.)
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Daga PR, Bolger MB, Haworth IS, Clark RD, Martin EJ. Physiologically Based Pharmacokinetic Modeling in Lead Optimization. 1. Evaluation and Adaptation of GastroPlus To Predict Bioavailability of Medchem Series. Mol Pharm 2018; 15:821-830. [PMID: 29337578 DOI: 10.1021/acs.molpharmaceut.7b00972] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
When medicinal chemists need to improve bioavailability (%F) within a chemical series during lead optimization, they synthesize new series members with systematically modified properties mainly by following experience and general rules of thumb. More quantitative models that predict %F of proposed compounds from chemical structure alone have proven elusive. Global empirical %F quantitative structure-property (QSPR) models perform poorly, and projects have too little data to train local %F QSPR models. Mechanistic oral absorption and physiologically based pharmacokinetic (PBPK) models simulate the dissolution, absorption, systemic distribution, and clearance of a drug in preclinical species and humans. Attempts to build global PBPK models based purely on calculated inputs have not achieved the <2-fold average error needed to guide lead optimization. In this work, local GastroPlus PBPK models are instead customized for individual medchem series. The key innovation was building a local QSPR for a numerically fitted effective intrinsic clearance (CLloc). All inputs are subsequently computed from structure alone, so the models can be applied in advance of synthesis. Training CLloc on the first 15-18 rat %F measurements gave adequate predictions, with clear improvements up to about 30 measurements, and incremental improvements beyond that.
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Affiliation(s)
- Pankaj R Daga
- Novartis Institute of Biomedical Research , Emeryville , California 94608 , United States
| | - Michael B Bolger
- Simulations Plus, Inc. , 42505 10th Street West , Lancaster , California 93534 , United States
| | - Ian S Haworth
- Department of Pharmacology and Pharmaceutical Sciences , University of Southern California , Los Angeles , California 90089 , United States
| | - Robert D Clark
- Simulations Plus, Inc. , 42505 10th Street West , Lancaster , California 93534 , United States
| | - Eric J Martin
- Novartis Institute of Biomedical Research , Emeryville , California 94608 , United States
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Li M, Zhao P, Pan Y, Wagner C. Predictive Performance of Physiologically Based Pharmacokinetic Models for the Effect of Food on Oral Drug Absorption: Current Status. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2017; 7:82-89. [PMID: 29168611 PMCID: PMC5824104 DOI: 10.1002/psp4.12260] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 10/04/2017] [Accepted: 10/09/2017] [Indexed: 12/25/2022]
Abstract
A comprehensive search in literature and published US Food and Drug Administration reviews was conducted to assess whether physiologically based pharmacokinetic (PBPK) modeling could be prospectively used to predict clinical food effect on oral drug absorption. Among the 48 resulted food effect predictions, ∼50% were predicted within 1.25‐fold of observed, and 75% within 2‐fold. Dissolution rate and precipitation time were commonly optimized parameters when PBPK modeling was not able to capture the food effect. The current work presents a knowledgebase for documenting PBPK experience to predict food effect.
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Affiliation(s)
- Mengyao Li
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, Maryland, USA.,Merck & Co, Inc, Kennilworth, New Jersey, USA
| | - Ping Zhao
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, Maryland, USA.,Bill & Melinda Gates Foundation, Seattle, Washington, USA
| | - Yuzhuo Pan
- Office of Generic Drugs, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, Maryland, USA
| | - Christian Wagner
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, Maryland, USA.,Current affiliation: Merck KGaA, Darmstadt, Germany
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Predicting Oral Drug Absorption: Mini Review on Physiologically-Based Pharmacokinetic Models. Pharmaceutics 2017; 9:pharmaceutics9040041. [PMID: 28954416 PMCID: PMC5750647 DOI: 10.3390/pharmaceutics9040041] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 09/20/2017] [Accepted: 09/22/2017] [Indexed: 12/27/2022] Open
Abstract
Most marketed drugs are administered orally, despite the complex process of oral absorption that is difficult to predict. Oral bioavailability is dependent on the interplay between many processes that are dependent on both compound and physiological properties. Because of this complexity, computational oral physiologically-based pharmacokinetic (PBPK) models have emerged as a tool to integrate these factors in an attempt to mechanistically capture the process of oral absorption. These models use inputs from in vitro assays to predict the pharmacokinetic behavior of drugs in the human body. The most common oral PBPK models are compartmental approaches, in which the gastrointestinal tract is characterized as a series of compartments through which the drug transits. The focus of this review is on the development of oral absorption PBPK models, followed by a brief discussion of the major applications of oral PBPK models in the pharmaceutical industry.
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Chung J, Kesisoglou F. Physiologically Based Oral Absorption Modelling to Study Gut-Level Drug Interactions. J Pharm Sci 2017; 107:18-23. [PMID: 28847476 DOI: 10.1016/j.xphs.2017.08.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 08/17/2017] [Accepted: 08/18/2017] [Indexed: 01/11/2023]
Abstract
Physiologically based oral absorption models are in silico tools primarily used to guide formulation development and project the clinical performance of formulation variants. This commentary briefly discusses additional oral absorption model applications, focusing on gut-level drug interactions. Gut-level drug interactions can involve drug degradation, metabolic enzymes, transporters, gastrointestinal motility modulators, acid-reducing agents, and food. The growth in publications reporting physiologically based oral absorption model utilization and successful pharmacokinetic prediction (e.g., after acid-reducing agents or food coadministration) indicate that oral absorption models have achieved a level of maturity within the industry particularly over the past 15 years. Provided appropriate data and model validation, oral absorption modeling/simulation may serve as a surrogate for clinical studies by providing both mechanistic and quantitative understanding of oral delivery considerations on pharmacokinetics.
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Affiliation(s)
- John Chung
- Drug Product Technologies, Amgen, Inc., Thousand Oaks, California 91320.
| | - Filippos Kesisoglou
- Biopharmaceutics and Specialty Dosage Forms, Pharmaceutical Sciences and Clinical Supply, Merck & Company, Inc., West Point, Pennsylvania 19486
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17
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Zhang X, Wen H, Fan J, Vince B, Li T, Gao W, Kinjo M, Brown J, Sun W, Jiang W, Lionberger R. Integrating In Vitro, Modeling, and In Vivo Approaches to Investigate Warfarin Bioequivalence. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2017; 6:523-531. [PMID: 28379643 PMCID: PMC5572358 DOI: 10.1002/psp4.12198] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 02/21/2017] [Accepted: 03/28/2017] [Indexed: 11/21/2022]
Abstract
We demonstrate the use of modeling and simulation to investigate bioequivalence (BE) concerns raised about generic warfarin products. To test the hypothesis that the loss of isopropyl alcohol and slow dissolution in acidic pH has significant impact on the pharmacokinetics of warfarin sodium tablets, we conducted physiologically based pharmacokinetic absorption modeling and simulation using formulation factors or in vitro dissolution profiles as input parameters. Sensitivity analyses indicated that warfarin pharmacokinetics was not sensitive to solubility, particle size, density, or dissolution rate in pH 4.5, but was affected by dissolution rate in pH 6.8 and potency. Virtual BE studies suggested that stressed warfarin sodium tablets with slow dissolution rate in pH 4.5 but having similar dissolution rate in pH 6.8 would be bioequivalent to the unstressed warfarin sodium tablets. A four‐way, crossover, single‐dose BE study in healthy subjects was conducted to test the same hypothesis and confirmed the simulation conclusion.
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Affiliation(s)
- X Zhang
- Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - H Wen
- Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - J Fan
- Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - B Vince
- Vince and Associates Clinical Research Inc, Overland Park, Kansas, USA
| | - T Li
- Department of Industrial and Physical Pharmacy, Purdue University, West Lafayette, Indiana, USA
| | - W Gao
- Department of Industrial and Physical Pharmacy, Purdue University, West Lafayette, Indiana, USA
| | - M Kinjo
- Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - J Brown
- Office of Translational Sciences, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - W Sun
- Office of Translational Sciences, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - W Jiang
- Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - R Lionberger
- Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA
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18
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Rose RH, Turner DB, Neuhoff S, Jamei M. 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. AAPS JOURNAL 2017; 19:1205-1217. [PMID: 28526963 DOI: 10.1208/s12248-017-0099-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 05/04/2017] [Indexed: 11/30/2022]
Abstract
Following a meal, a transient increase in splanchnic blood flow occurs that can result in increased exposure to orally administered high-extraction drugs. Typically, physiologically based pharmacokinetic (PBPK) models have incorporated this increase in blood flow as a time-invariant fed/fasted ratio, but this approach is unable to explain the extent of increased drug exposure. A model for the time-varying increase in splanchnic blood flow following a moderate- to high-calorie meal (TV-Q Splanch) was developed to describe the observed data for healthy individuals. This was integrated within a PBPK model and used to predict the contribution of increased splanchnic blood flow to the observed food effect for two orally administered high-extraction drugs, propranolol and ibrutinib. The model predicted geometric mean fed/fasted AUC and C max ratios of 1.24 and 1.29 for propranolol, which were within the range of published values (within 1.0-1.8-fold of values from eight clinical studies). For ibrutinib, the predicted geometric mean fed/fasted AUC and C max ratios were 2.0 and 1.84, respectively, which was within 1.1-fold of the reported fed/fasted AUC ratio but underestimated the reported C max ratio by up to 1.9-fold. For both drugs, the interindividual variability in fed/fasted AUC and C max ratios was underpredicted. This suggests that the postprandial change in splanchnic blood flow is a major mechanism of the food effect for propranolol and ibrutinib but is insufficient to fully explain the observations. The proposed model is anticipated to improve the prediction of food effect for high-extraction drugs, but should be considered with other mechanisms.
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Affiliation(s)
- Rachel H Rose
- Simcyp (a Certara Company), Blades Enterprise Centre, John Street, S2 4SU, Sheffield, UK.
| | - David B Turner
- Simcyp (a Certara Company), Blades Enterprise Centre, John Street, S2 4SU, Sheffield, UK
| | - Sibylle Neuhoff
- Simcyp (a Certara Company), Blades Enterprise Centre, John Street, S2 4SU, Sheffield, UK
| | - Masoud Jamei
- Simcyp (a Certara Company), Blades Enterprise Centre, John Street, S2 4SU, Sheffield, UK
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19
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Martinez MN, Mistry B, Lukacova V, Lentz KA, Polli JE, Hoag SW, Dowling T, Kona R, Fahmy RM. 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. AAPS JOURNAL 2017; 19:712-726. [PMID: 28265981 DOI: 10.1208/s12248-017-0055-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 02/02/2017] [Indexed: 01/22/2023]
Abstract
This study explored the in vivo performance of three oral ciprofloxacin formulations (oral solution, fast, or slow dissolving tablets) in beagle dogs. The in vivo absorption and dissolution behaviors, estimated with in silico mechanistic models, were compared to the results previously published in human volunteers. Six normal healthy male beagle dogs (five to completion) received three oral formulations and an intravenous infusion in a randomized crossover design. Plasma ciprofloxacin concentrations were estimated by tandem mass spectrometry detection. A mechanistic absorption model was used to predict the in vivo dissolution and absorption characteristics of the oral formulations. Canine ciprofloxacin absorption was constrained to the duodenum/jejunum. This absorption window was far narrower than that seen in humans. Furthermore, while substantial within-individual variability in drug absorption was seen in human subjects, a greater magnitude of variability was observed in dogs. For three sets of data, a lag time in gastric emptying was necessary to improve the accuracy of model-generated in vivo blood level profile predictions. In addition to species-associated dissimilarities in drug solubilization due to human versus canine differences in gastrointestinal fluid compositions, the far more rapid intestinal transit time and potential segmental differences in drug absorption needed to be considered during human-canine extrapolation of oral drug and drug product performance. Through the use of mechanistic models, the data generated in the human and canine studies contributed insights into some aspects of the interspecies differences to be considered when extrapolating oral bioavailability/formulation effect data between dogs and humans.
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Affiliation(s)
- M N Martinez
- The Food and Drug Administration, Rockville, Maryland, 20855, USA.
| | - B Mistry
- The Food and Drug Administration, Rockville, Maryland, 20855, USA
| | - V Lukacova
- Simulations Plus, Inc., 42505 10th Street West, Lancaster, California, 93534, USA
| | - K A Lentz
- Pharmaceutical Candidate Optimization, Metabolism and Pharmacokinetics, Bristol-Myers Squibb, Wallingford, Connecticut, USA
| | - J E Polli
- Department of Pharmaceutical Sciences, University of Maryland Baltimore, Baltimore, Maryland, 21201, USA
| | - S W Hoag
- Department of Pharmaceutical Sciences, University of Maryland Baltimore, Baltimore, Maryland, 21201, USA
| | - T Dowling
- Department of Pharmacy Practice, Ferris State University, Big Rapids, Michigan, 49307, USA
| | - R Kona
- Division of Formulation Development, Actavis Inc., Parsippany, New Jersey, 07054, USA
| | - R M Fahmy
- The Food and Drug Administration, Rockville, Maryland, 20855, USA
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20
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Stillhart C, Parrott NJ, Lindenberg M, Chalus P, Bentley D, Szepes A. Characterising Drug Release from Immediate-Release Formulations of a Poorly Soluble Compound, Basmisanil, Through Absorption Modelling and Dissolution Testing. AAPS JOURNAL 2017; 19:827-836. [PMID: 28236228 DOI: 10.1208/s12248-017-0060-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2017] [Accepted: 02/10/2017] [Indexed: 11/30/2022]
Abstract
The study aimed to characterise the mechanism of release and absorption of Basmisanil, a biopharmaceutics classification system (BCS) class 2 compound, from immediate-release formulations via mechanistic absorption modelling, dissolution testing, and Raman imaging. An oral absorption model was developed in GastroPlus® and verified with single-dose pharmacokinetic data in humans. The properties and drug release behaviour of different oral Basmisanil formulations were characterised via biorelevant dissolution and Raman imaging studies. Finally, an in vitro-in vivo correlation (IVIVC) model was developed using conventional and mechanistic deconvolution methods for comparison. The GastroPlus model accurately simulated oral Basmisanil exposure from tablets and granules formulations containing micronized drug. Absorption of oral doses below 200 mg was mostly dissolution rate-limited and thus particularly sensitive to formulation properties. Indeed, reduced exposure was observed for a 120-mg film-coated tablet and the slower dissolution rate measured in biorelevant media was attributed to differences in drug load. This hypothesis was confirmed when Raman imaging showed that the percolation threshold was exceeded in this formulation. This biorelevant dissolution method clearly differentiated between the formulations and was used to develop a robust IVIVC model. The study demonstrates the applicability and impact of mechanistic absorption modelling and biopharmaceutical in vitro tools for rational drug development.
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Affiliation(s)
- Cordula Stillhart
- Formulation Research & Development, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
| | - Neil J Parrott
- Pharmaceutical Research & Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Marc Lindenberg
- Analytical Development, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Pascal Chalus
- Analytical Development, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Darren Bentley
- Clinical Pharmacology, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Anikó Szepes
- Formulation Research & Development, F. Hoffmann-La Roche Ltd., Basel, Switzerland
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21
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Ding X, Day JS, Sperry DC. Physiologically Based Absorption Modeling to Design Extended-Release Clinical Products for an Ester Prodrug. AAPS JOURNAL 2016; 18:1424-1438. [PMID: 27411803 DOI: 10.1208/s12248-016-9950-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 06/15/2016] [Indexed: 11/30/2022]
Abstract
Absorption modeling has demonstrated its great value in modern drug product development due to its utility in understanding and predicting in vivo performance. In this case, we integrated physiologically based modeling in the development processes to effectively design extended-release (ER) clinical products for an ester prodrug LY545694. By simulating the trial results of immediate-release products, we delineated complex pharmacokinetics due to prodrug conversion and established an absorption model to describe the clinical observations. This model suggested the prodrug has optimal biopharmaceutical properties to warrant developing an ER product. Subsequently, we incorporated release profiles of prototype ER tablets into the absorption model to simulate the in vivo performance of these products observed in an exploratory trial. The models suggested that the absorption of these ER tablets was lower than the IR products because the extended release from the formulations prevented the drug from taking advantage of the optimal absorption window. Using these models, we formed a strategy to optimize the ER product to minimize the impact of the absorption window limitation. Accurate prediction of the performance of these optimized products by modeling was confirmed in a third clinical trial.
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Affiliation(s)
- Xuan Ding
- Small Molecule Design & Development, Lilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA
| | - Jeffrey S Day
- Drug Disposition, Lilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA
| | - David C Sperry
- Small Molecule Design & Development, Lilly Research Laboratories, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA.
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22
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Yang X, Duan J, Fisher J. Application of Physiologically Based Absorption Modeling to Characterize the Pharmacokinetic Profiles of Oral Extended Release Methylphenidate Products in Adults. PLoS One 2016; 11:e0164641. [PMID: 27723791 PMCID: PMC5056674 DOI: 10.1371/journal.pone.0164641] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Accepted: 09/28/2016] [Indexed: 11/30/2022] Open
Abstract
A previously presented physiologically-based pharmacokinetic model for immediate release (IR) methylphenidate (MPH) was extended to characterize the pharmacokinetic behaviors of oral extended release (ER) MPH formulations in adults for the first time. Information on the anatomy and physiology of the gastrointestinal (GI) tract, together with the biopharmaceutical properties of MPH, was integrated into the original model, with model parameters representing hepatic metabolism and intestinal non-specific loss recalibrated against in vitro and in vivo kinetic data sets with IR MPH. A Weibull function was implemented to describe the dissolution of different ER formulations. A variety of mathematical functions can be utilized to account for the engineered release/dissolution technologies to achieve better model performance. The physiological absorption model tracked well the plasma concentration profiles in adults receiving a multilayer-release MPH formulation or Metadate CD, while some degree of discrepancy was observed between predicted and observed plasma concentration profiles for Ritalin LA and Medikinet Retard. A local sensitivity analysis demonstrated that model parameters associated with the GI tract significantly influenced model predicted plasma MPH concentrations, albeit to varying degrees, suggesting the importance of better understanding the GI tract physiology, along with the intestinal non-specific loss of MPH. The model provides a quantitative tool to predict the biphasic plasma time course data for ER MPH, helping elucidate factors responsible for the diverse plasma MPH concentration profiles following oral dosing of different ER formulations.
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Affiliation(s)
- Xiaoxia Yang
- National Center for Toxicological Research, Food and Drug Administration, Jefferson, Arkansas, United States of America
- * E-mail:
| | - John Duan
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States of America
| | - Jeffrey Fisher
- National Center for Toxicological Research, Food and Drug Administration, Jefferson, Arkansas, United States of America
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23
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Kesisoglou F, Chung J, van Asperen J, Heimbach T. Physiologically Based Absorption Modeling to Impact Biopharmaceutics and Formulation Strategies in Drug Development—Industry Case Studies. J Pharm Sci 2016; 105:2723-2734. [DOI: 10.1016/j.xphs.2015.11.034] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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24
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Martinez M, Mistry B, Lukacova V, Polli J, Hoag S, Dowling T, Kona R, Fahmy R. Use of Modeling and Simulation Tools for Understanding the Impact of Formulation on the Absorption of a Low Solubility Compound: Ciprofloxacin. AAPS JOURNAL 2016; 18:886-97. [DOI: 10.1208/s12248-016-9913-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Accepted: 04/04/2016] [Indexed: 01/07/2023]
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25
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Wang B, Liu Z, Li D, Yang S, Hu J, Chen H, Sheng L, Li Y. Application of physiologically based pharmacokinetic modeling in the prediction of pharmacokinetics of bicyclol controlled-release formulation in human. Eur J Pharm Sci 2015; 77:265-72. [PMID: 26116279 DOI: 10.1016/j.ejps.2015.06.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 05/12/2015] [Accepted: 06/22/2015] [Indexed: 01/17/2023]
Abstract
Physiologically based pharmacokinetic (PBPK) modeling can assist in formulation development. Bicyclol is a novel anti-hepatitis drug. A bilayer osmotic pump table of bicyclol is being developed. PBPK models for bicyclol immediate-release (IR) and controlled-release (CR) tablets in beagle dog, as well as PBPK model for IR tablets in human were constructed. These models incorporated physicochemical properties and in vitro preclinical data. Parameter sensitivity analysis was performed for the effects of solubility and dissolution on pharmacokinetic (PK) parameters. Models were refined by comparing simulated results to experimental measurements. Furthermore, the clinical PK for bicyclol CR tablets was predicted using the in vivo dissolution profile by deconvolution of the mean PK profile of CR tablets in dogs. In summary, the present study described a strategy employing PBPK models to evaluate the effects of formulation factors on PK profiles and predict the performance of bicyclol CR tablets in human.
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Affiliation(s)
- Baolian Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing Key Laboratory of Non-Clinical Drug Metabolism and PK/PD Study, Institute of Materia Medica, Chinese Academy of Medical Sciences & Perking Union Medical College, Beijing 100050, PR China
| | - Zhihao Liu
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing Key Laboratory of Non-Clinical Drug Metabolism and PK/PD Study, Institute of Materia Medica, Chinese Academy of Medical Sciences & Perking Union Medical College, Beijing 100050, PR China
| | - Dan Li
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing Key Laboratory of Non-Clinical Drug Metabolism and PK/PD Study, Institute of Materia Medica, Chinese Academy of Medical Sciences & Perking Union Medical College, Beijing 100050, PR China
| | - Shuang Yang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing Key Laboratory of Non-Clinical Drug Metabolism and PK/PD Study, Institute of Materia Medica, Chinese Academy of Medical Sciences & Perking Union Medical College, Beijing 100050, PR China
| | - Jinping Hu
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing Key Laboratory of Non-Clinical Drug Metabolism and PK/PD Study, Institute of Materia Medica, Chinese Academy of Medical Sciences & Perking Union Medical College, Beijing 100050, PR China
| | - Hui Chen
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing Key Laboratory of Non-Clinical Drug Metabolism and PK/PD Study, Institute of Materia Medica, Chinese Academy of Medical Sciences & Perking Union Medical College, Beijing 100050, PR China
| | - Li Sheng
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing Key Laboratory of Non-Clinical Drug Metabolism and PK/PD Study, Institute of Materia Medica, Chinese Academy of Medical Sciences & Perking Union Medical College, Beijing 100050, PR China.
| | - Yan Li
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing Key Laboratory of Non-Clinical Drug Metabolism and PK/PD Study, Institute of Materia Medica, Chinese Academy of Medical Sciences & Perking Union Medical College, Beijing 100050, PR China
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26
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Sager JE, Yu J, Ragueneau-Majlessi I, Isoherranen N. Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification. Drug Metab Dispos 2015; 43:1823-37. [PMID: 26296709 DOI: 10.1124/dmd.115.065920] [Citation(s) in RCA: 309] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Accepted: 08/20/2015] [Indexed: 12/16/2022] Open
Abstract
Modeling and simulation of drug disposition has emerged as an important tool in drug development, clinical study design and regulatory review, and the number of physiologically based pharmacokinetic (PBPK) modeling related publications and regulatory submissions have risen dramatically in recent years. However, the extent of use of PBPK modeling by researchers, and the public availability of models has not been systematically evaluated. This review evaluates PBPK-related publications to 1) identify the common applications of PBPK modeling; 2) determine ways in which models are developed; 3) establish how model quality is assessed; and 4) provide a list of publically available PBPK models for sensitive P450 and transporter substrates as well as selective inhibitors and inducers. PubMed searches were conducted using the terms "PBPK" and "physiologically based pharmacokinetic model" to collect published models. Only papers on PBPK modeling of pharmaceutical agents in humans published in English between 2008 and May 2015 were reviewed. A total of 366 PBPK-related articles met the search criteria, with the number of articles published per year rising steadily. Published models were most commonly used for drug-drug interaction predictions (28%), followed by interindividual variability and general clinical pharmacokinetic predictions (23%), formulation or absorption modeling (12%), and predicting age-related changes in pharmacokinetics and disposition (10%). In total, 106 models of sensitive substrates, inhibitors, and inducers were identified. An in-depth analysis of the model development and verification revealed a lack of consistency in model development and quality assessment practices, demonstrating a need for development of best-practice guidelines.
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Affiliation(s)
- Jennifer E Sager
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington
| | - Jingjing Yu
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington
| | | | - Nina Isoherranen
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington
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