1
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Pepin X, Arora S, Borges L, Cano-Vega M, Carducci T, Chatterjee P, Chen G, Cristofoletti R, Dallmann A, Delvadia P, Dressman J, Fotaki N, Gray E, Heimbach T, Holte Ø, Kijima S, Kotzagiorgis E, Lennernäs H, Lindahl A, Loebenberg R, Mackie C, Malamatari M, McAllister M, Mitra A, Moody R, Mudie D, Musuamba Tshinanu F, Polli JE, Rege B, Ren X, Rullo G, Scherholz M, Song I, Stillhart C, Suarez-Sharp S, Tannergren C, Tsakalozou E, Veerasingham S, Wagner C, Seo P. Parameterization of Physiologically Based Biopharmaceutics Models: Workshop Summary Report. Mol Pharm 2024; 21:3697-3731. [PMID: 38946085 PMCID: PMC11304397 DOI: 10.1021/acs.molpharmaceut.4c00526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/18/2024] [Accepted: 06/18/2024] [Indexed: 07/02/2024]
Abstract
This Article shares the proceedings from the August 29th, 2023 (day 1) workshop "Physiologically Based Biopharmaceutics Modeling (PBBM) Best Practices for Drug Product Quality: Regulatory and Industry Perspectives". The focus of the day was on model parametrization; regulatory authorities from Canada, the USA, Sweden, Belgium, and Norway presented their views on PBBM case studies submitted by industry members of the IQ consortium. The presentations shared key questions raised by regulators during the mock exercise, regarding the PBBM input parameters and their justification. These presentations also shed light on the regulatory assessment processes, content, and format requirements for future PBBM regulatory submissions. In addition, the day 1 breakout presentations and discussions gave the opportunity to share best practices around key questions faced by scientists when parametrizing PBBMs. Key questions included measurement and integration of drug substance solubility for crystalline vs amorphous drugs; impact of excipients on apparent drug solubility/supersaturation; modeling of acid-base reactions at the surface of the dissolving drug; choice of dissolution methods according to the formulation and drug properties with a view to predict the in vivo performance; mechanistic modeling of in vitro product dissolution data to predict in vivo dissolution for various patient populations/species; best practices for characterization of drug precipitation from simple or complex formulations and integration of the data in PBBM; incorporation of drug permeability into PBBM for various routes of uptake and prediction of permeability along the GI tract.
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Affiliation(s)
- Xavier Pepin
- Regulatory
Affairs, Simulations Plus Inc., 42505 10th Street West, Lancaster, California 93534-7059, United States
| | - Sumit Arora
- Janssen
Pharmaceutica NV, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Luiza Borges
- ANVISA, SIA Trecho 5́, Guara, Brasília, Federal District 71205-050, Brazil
| | - Mario Cano-Vega
- Drug
Product Technologies, Amgen Inc., Thousand Oaks, California 91320-1799, United
States
| | - Tessa Carducci
- Analytical
Commercialization Technology, Merck & Co., Inc., 126 E. Lincoln Ave., Rahway, New Jersey 07065, United States
| | - Parnali Chatterjee
- Office
of
Pharmaceutical Quality (OPQ), Center for Drug Evaluation and Research
(CDER), Food and Drug Administration (FDA), Silver Spring, Maryland 20903-1058, United
States
| | - Grace Chen
- Takeda
Development Center Americas Inc., 300 Shire Way, Lexington, Massachusetts 02421, United States
| | - Rodrigo Cristofoletti
- College
of Pharmacy, University of Florida, 6550 Sanger Rd., Orlando, Florida 32827, United States
| | - André Dallmann
- Bayer
HealthCare SAS, 59000 Lille, France, on behalf of Bayer
AG, Pharmacometrics/Modeling and Simulation, Systems Pharmacology
& Medicine, PBPK, Leverkusen, Germany
| | - Poonam Delvadia
- Office
of Translational Science, Office of Clinical Pharmacology (OCP), Center
for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA), Silver Spring, Maryland 20903-1058, United States
| | - Jennifer Dressman
- Fraunhofer Institute of Translational Medicine and Pharmacology, Frankfurt am Main 60596, Germany
| | - Nikoletta Fotaki
- University of Bath, Claverton Down, Bath BA2
7AY, United Kingdom
| | - Elizabeth Gray
- Office
of
Pharmaceutical Quality (OPQ), Center for Drug Evaluation and Research
(CDER), Food and Drug Administration (FDA), Silver Spring, Maryland 20903-1058, United
States
| | - Tycho Heimbach
- Pharmaceutical Sciences and Clinical Supply, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Øyvind Holte
- Norwegian Medical Products Agency, Oslo 0213, Norway
| | - Shinichi Kijima
- Office
of New Drug V, Pharmaceuticals and Medical
Devices Agency (PMDA), Tokyo 100-0013, Japan
| | - Evangelos Kotzagiorgis
- European Medicines Agency (EMA), Domenico Scarlattilaan 6, Amsterdam 1083 HS, The Netherlands
| | - Hans Lennernäs
- Translational
Drug Discovery and Development, Department of Pharmaceutical Bioscience, Uppsala University, Uppsala 751 05, Sweden
| | | | - Raimar Loebenberg
- Faculty
of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmontonton T6G 2E1, Canada
| | - Claire Mackie
- Janssen
Pharmaceutica NV, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Maria Malamatari
- Medicines & Healthcare Products Regulatory Agency, 10 S Colonnade, London SW1W 9SZ, United Kingdom
| | - Mark McAllister
- Global
Biopharmaceutics, Drug Product Design, Pfizer, Sandwich CT13 9NJ, United Kingdom
| | - Amitava Mitra
- Clinical
Pharmacology, Kura Oncology Inc., Boston, Massachusetts 02210, United States
| | - Rebecca Moody
- Office
of
Pharmaceutical Quality (OPQ), Center for Drug Evaluation and Research
(CDER), Food and Drug Administration (FDA), Silver Spring, Maryland 20903-1058, United
States
| | - Deanna Mudie
- Global
Research and Development, Small Molecules, Lonza, 63045 NE Corporate
Pl., Bend, Oregon 97701, United States
| | - Flora Musuamba Tshinanu
- Belgian Federal Agency for Medicines and Health Products, Galileelaan 5/03, Brussel 1210, Belgium
| | - James E. Polli
- School
of Pharmacy, University of Maryland, Baltimore, Maryland 21201, United States
| | - Bhagwant Rege
- Office
of
Pharmaceutical Quality (OPQ), Center for Drug Evaluation and Research
(CDER), Food and Drug Administration (FDA), Silver Spring, Maryland 20903-1058, United
States
| | - Xiaojun Ren
- PK
Sciences/Translational Medicine, BioMedical Research, Novartis, One Health Plaza, East Hanover, New Jersey 07936, United States
| | - Gregory Rullo
- Regulatory
CMC, AstraZeneca, 1 Medimmune Way, Gaithersburg, Maryland 20878, United States
| | - Megerle Scherholz
- Pharmaceutical
Development, Bristol Myers Squibb, Route 206 & Province Line Road, Princeton, New Jersey 08543, United States
| | - Ivy Song
- Takeda
Development Center Americas Inc., 300 Shire Way, Lexington, Massachusetts 02421, United States
| | - Cordula Stillhart
- Pharmaceutical
R&D, F. Hoffmann-La Roche Ltd., Basel 4070, Switzerland
| | - Sandra Suarez-Sharp
- Regulatory
Affairs, Simulations Plus Inc., 42505 10th Street West, Lancaster, California 93534-7059, United States
| | - Christer Tannergren
- Biopharmaceutics
Science, New Modalities & Parenteral Product Development, Pharmaceutical
Technology & Development, Operations, AstraZeneca, Gothenburg 431 50, Sweden
| | - Eleftheria Tsakalozou
- Division
of Quantitative Methods and Modeling, Office of Research and Standards,
Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20903-1058, United
States
| | - Shereeni Veerasingham
- Pharmaceutical
Drugs Directorate (PDD), Health Canada, 1600 Scott St., Ottawa K1A 0K9, Canada
| | - Christian Wagner
- Global
Drug Product Development, Global CMC Development, the Healthcare Business of Merck KGaA, Darmstadt D-64293, Germany
| | - Paul Seo
- Office
of Translational Science, Office of Clinical Pharmacology (OCP), Center
for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA), Silver Spring, Maryland 20903-1058, United States
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2
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Mackie C, Arora S, Seo P, Moody R, Rege B, Pepin X, Heimbach T, Tannergren C, Mitra A, Suarez-Sharp S, Borges LN, Kijima S, Kotzagiorgis E, Malamatari M, Veerasingham S, Polli JE, Rullo G. Physiologically Based Biopharmaceutics Modeling (PBBM): Best Practices for Drug Product Quality, Regulatory and Industry Perspectives: 2023 Workshop Summary Report. Mol Pharm 2024; 21:2065-2080. [PMID: 38600804 PMCID: PMC11080464 DOI: 10.1021/acs.molpharmaceut.4c00202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 04/12/2024]
Abstract
Physiologically based biopharmaceutics modeling (PBBM) is used to elevate drug product quality by providing a more accurate and holistic understanding of how drugs interact with the human body. These models are based on the integration of physiological, pharmacological, and pharmaceutical data to simulate and predict drug behavior in vivo. Effective utilization of PBBM requires a consistent approach to model development, verification, validation, and application. Currently, only one country has a draft guidance document for PBBM, whereas other major regulatory authorities have had limited experience with the review of PBBM. To address this gap, industry submitted confidential PBBM case studies to be reviewed by the regulatory agencies; software companies committed to training. PBBM cases were independently and collaboratively discussed by regulators, and academic colleagues participated in some of the discussions. Successful bioequivalence "safe space" industry case examples are also presented. Overall, six regulatory agencies were involved in the case study exercises, including ANVISA, FDA, Health Canada, MHRA, PMDA, and EMA (experts from Belgium, Germany, Norway, Portugal, Spain, and Sweden), and we believe this is the first time such a collaboration has taken place. The outcomes were presented at this workshop, together with a participant survey on the utility and experience with PBBM submissions, to discuss the best scientific practices for developing, validating, and applying PBBMs. The PBBM case studies enabled industry to receive constructive feedback from global regulators and highlighted clear direction for future PBBM submissions for regulatory consideration.
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Affiliation(s)
- Claire Mackie
- Janssen
Pharmaceutica NV, Turnhoutseweg 30, Beerse 2340, Belgium
| | - Sumit Arora
- Janssen
Pharmaceutica NV, Turnhoutseweg 30, Beerse 2340, Belgium
| | - Paul Seo
- Office of
Translational Science, Office of Clinical Pharmacology (OCP), Center for Drug Evaluation and Research, Food and
Drug Administration (FDA), 10903 New Hampshire Avenue, Silver Spring, Maryland 20993, United States
| | - Rebecca Moody
- Office
of
Pharmaceutical Quality, Center for Drug
Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Bhagwant Rege
- Office
of
Pharmaceutical Quality, Center for Drug
Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Xavier Pepin
- Regulatory
Affairs, Simulations Plus, Inc., Lancaster, California 93534-7059, United
States
| | - Tycho Heimbach
- Pharmaceutical
Sciences and Clinical Supply, Merck &
Co., Inc., 123 East Scott
Ave., Rahway, New Jersey 07065, United States
| | - Christer Tannergren
- Biopharmaceutics
Science, New Modalities & Parenteral Product Development, Pharmaceutical Technology & Development, Operations,
AstraZeneca, Gothenburg 431 83, Sweden
| | - Amitava Mitra
- Clinical
Pharmacology, Kura Oncology, Inc., Boston, Massachusetts 02210, United States
| | - Sandra Suarez-Sharp
- Regulatory
Affairs, Simulations Plus, Inc., Lancaster, California 93534-7059, United
States
| | | | - Shinichi Kijima
- Office
of
New Drug V, Pharmaceutical and Medical Devices
Agency (PMDA), Tokyo 100-0013, Japan
| | - Evangelos Kotzagiorgis
- European
Medicines Agency (EMA), Domenico Scarlattilaan 6, Amsterdam 1083 HS, The Netherlands
| | - Maria Malamatari
- Medicines
& Healthcare products Regulatory Agency, 10 South Colonnade, London E14 4PU, United Kingdom
| | - Shereeni Veerasingham
- Pharmaceutical
Drugs Directorate (PDD), Health Canada, 1600 Scott Street, Ottawa, Ontario K1A 0K9, Canada
| | - James E. Polli
- School
of Pharmacy, University of Maryland, Baltimore, Maryland 21201, United States
| | - Gregory Rullo
- Regulatory
CMC, AstraZeneca, 1 Medimmune Way, Gaithersburg, Maryland 20878, United States
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Klitgaard M, Jacobsen J, Kristensen MN, Berthelsen R, Müllertz A. Characterizing interregional differences in the rheological properties and composition of rat small intestinal mucus. Drug Deliv Transl Res 2024:10.1007/s13346-024-01574-1. [PMID: 38526635 DOI: 10.1007/s13346-024-01574-1] [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] [Accepted: 03/12/2024] [Indexed: 03/27/2024]
Abstract
The mucus layer in the small intestine is generally regarded as a barrier to drug absorption. However, the mucus layer is a complex system, and presently, only a few studies have been conducted to elucidate its physicochemical properties. The current study hypothesizes that the mucus layer contains solubility-enhancing surfactants and thus might aid the oral absorption of poorly water-soluble drugs. Mucus was sampled from sections of the small intestine of fasted rats to analyze the rheological properties and determine the mucus pH and concentrations of proteins and endogenous surfactants, i.e., bile salts, polar lipids, and neutral lipids. The mucus layer in the two proximal sections of the small intestine exhibited different rheological properties such as higher zero-shear viscosity and lower loss tangent and higher protein concentrations compared to all subsequent sections of the small intestine. The pH of the mucus layer was stable at ~ 6.5 throughout most of the small intestine, but increased to 7.5 in the ileum. The bile salt concentrations increased from the duodenum (16.0 ± 2.2 mM) until the mid jejunum (55.1 ± 9.5 mM), whereas the concentrations of polar lipids and neutral lipids decreased from the duodenum (17.4 ± 2.2 mM and 37.8 ± 1.6 mM, respectively) until the ileum (4.8 ± 0.4 mM and 10.7 ± 1.1 mM, respectively). In conclusion, the mucus layer of the rat small intestine contains endogenous surfactants at levels that might benefit solubilization and absorption of orally administered poorly water-soluble drugs.
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Affiliation(s)
- Mette Klitgaard
- Department of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100, Copenhagen, Denmark
| | - Jette Jacobsen
- Department of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100, Copenhagen, Denmark
| | - Maja Nørgaard Kristensen
- Department of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100, Copenhagen, Denmark
| | - Ragna Berthelsen
- Department of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100, Copenhagen, Denmark
| | - Anette Müllertz
- Department of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100, Copenhagen, Denmark.
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Caleffi‐Marchesini ER, Herling AA, Macente J, Bonan RH, de Freitas Lima P, Moreno R, Alexandre V, Charbe NB, Borghi‐Pangoni FB, Cristofoletti R, Diniz A. Adult and pediatric physiologically-based biopharmaceutics modeling to explain lamotrigine immediate release absorption process. CPT Pharmacometrics Syst Pharmacol 2024; 13:208-221. [PMID: 37916262 PMCID: PMC10864931 DOI: 10.1002/psp4.13071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 09/17/2023] [Accepted: 09/25/2023] [Indexed: 11/03/2023] Open
Abstract
Physiologically-based biopharmaceutics modeling (PBBM) has potential to accelerate the development of new drug and formulations. An important application of PBBM is for special populations such as pediatrics that have pharmacokinetics dependent on the maturation process. Lamotrigine (LTG) is a Biopharmaceutics Classification System (BCS) II drug and is widely prescribed. Therefore, the goal of this study was to assess the biopharmaceutics risk of the low-soluble drug LTG when the ontogeny on gastrointestinal tract (GIT) physiological parameters are considered. An oral physiologically-based pharmacokinetic model and a PBBM were developed and verified using GastroPlus™ software for both adults and children (2-12 years old, 12-52 kg). The biopharmaceutics properties and GIT physiological parameters were evaluated by sensitivity analysis. High doses were simulated assuming a worst case scenario, that is, the dose of 200 mg for adults and 5 mg/kg (up to the maximum of 200 mg) for 2-year-old children. Although several authors have suggested that ontogeny may have an effect on gastrointestinal fluid volume, our study found no evidence of interference between fluid and dose volumes with in vivo dissolution of LTG. The most impactful parameter was found to be the gastric transit time. Therefore, the hypothesis is developed to examine whether LTG exhibits characteristics of a BCS II classification in vitro while showing BCS I-like behavior in vivo. This hypothesis could act as a base for conducting novel studies on model-informed precision dosing, tailored to specific populations and clinical conditions. In addition, it could be instrumental in assessing the influence of various release profiles on in vivo performance for both adult and pediatric populations.
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Affiliation(s)
| | - Amanda Antunes Herling
- Pharmacokinetics and Biopharmaceutics LaboratoryState University of MaringáMaringáPRBrazil
| | - Julia Macente
- Pharmacokinetics and Biopharmaceutics LaboratoryState University of MaringáMaringáPRBrazil
| | | | | | - Rafaela Moreno
- Centro Universitário Barão de MauáRibeirão PretoSPBrazil
| | - Veriano Alexandre
- Hospital das Clínicas, Faculdade de MedicinaUniversidade de São PauloRibeirão PretoSPBrazil
| | - Nitin Bharat Charbe
- Center for Pharmacometrics & Systems PharmacologyUniversity of FloridaOrlandoFloridaUSA
| | | | - Rodrigo Cristofoletti
- Center for Pharmacometrics & Systems PharmacologyUniversity of FloridaOrlandoFloridaUSA
| | - Andréa Diniz
- Pharmacokinetics and Biopharmaceutics LaboratoryState University of MaringáMaringáPRBrazil
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Golhar A, Pillai M, Dhakne P, Rajput N, Jadav T, Sengupta P. Progressive tools and critical strategies for development of best fit PBPK model aiming better in vitro-in vivo correlation. Int J Pharm 2023; 643:123267. [PMID: 37488057 DOI: 10.1016/j.ijpharm.2023.123267] [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: 05/04/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 07/26/2023]
Abstract
Nowadays, conducting discriminative dissolution experiments employing physiologically based pharmacokinetic modeling (PBPK) or physiologically based biopharmaceutical modeling (PBBM) is gaining significant importance in quantitatively predicting oral absorption of drugs. Mechanistic understanding of each process involved in drug absorption and its impact on the performance greatly facilitates designing a formulation with high confidence. Unfortunately, the biggest challenge scientists are facing in current days is the lack of standardized protocol for integrating dissolution experiment data during PBPK modeling. However, in vitro-in vivo drug release interrelation can be improved with the consideration and development of appropriate biorelevant dissolution media that closely mimic physiological conditions. Multiple reported dissolution models have described nature and functionality of different regions of the gastrointestinal tract (GI) to more accurately design discriminative dissolution media. Dissolution experiment data can be integrated either mechanistically or without a mechanism depending primarily on the formulation type, biopharmaceutics classification system (BCS) class and particle size of the drug substance. All such parameters are required to be considered for selecting the appropriate functions during PBPK modeling to produce a best fit model. The primary focus of this review is to critically discuss various progressive dissolution models and tools, existing challenges and approaches for establishing best fit PBPK model aiming better in vitro-in vivo correlation (IVIVC). Strategies for proper selection of dissolution models as an input function in PBPK/PBBM modeling have also been critically discussed. Logical and scientific pathway for selection of different type of functions and integration events in the commercially available in silico software has been described through case studies.
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Affiliation(s)
- Arnav Golhar
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Megha Pillai
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Pooja Dhakne
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Niraj Rajput
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Tarang Jadav
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Pinaki Sengupta
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India.
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6
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Tannergren C, Jadhav H, Eckernäs E, Fagerberg J, Augustijns P, Sjögren E. Physiologically Based Biopharmaceutics Modeling of regional and colon absorption in humans. Eur J Pharm Biopharm 2023; 186:144-159. [PMID: 37028605 DOI: 10.1016/j.ejpb.2023.03.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/24/2023] [Accepted: 03/25/2023] [Indexed: 04/08/2023]
Abstract
Colon absorption is a key determinant for successful development of extended release and colon targeted drug products. This is the first systematic evaluation of the ability to predict in vivo regional differences in absorption and the extent of colon absorption in humans using mechanistic physiologically based biopharmaceutics modeling (PBBM). A new dataset, consisting of 19 drugs with a wide range of biopharmaceutics properties and extent of colon absorption in humans, was established. Mechanistic predictions of the extent of absorption and plasma exposure after oral, or jejunal and direct colon administration were performed in GastroPlus and GI-Sim using an a priori approach. Two new colon models developed in GI-Sim, were also evaluated to assess if the prediction performance could be improved. Both GastroPlus and GI-Sim met the pre-defined criteria for accurate predictions of regional and colon absorption for high permeability drugs irrespective of formulation type, while the prediction performance was poor for low permeability drugs. For solutions, the two new GI-Sim colon models improved the colon absorption prediction performance for the low permeability drugs while maintaining the accurate prediction performance for the high permeability drugs. In contrast, the prediction performance decreased for non-solutions using the two new colon models. In conclusion, PBBM can be used with sufficient accuracy to predict regional and colon absorption in humans for high permeability drugs in candidate selection as well as early design and development of extended release or colon targeted drug products. The prediction performance of the current models needs to be improved to allow high accuracy predictions for commercial drug product applications including highly accurate predictions of the entire plasma concentration-time profiles as well as for low permeability drugs.
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7
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Wu D, Tsekouras AA, Macheras P, Kesisoglou F. Physiologically based Pharmacokinetic Models under the Prism of the Finite Absorption Time Concept. Pharm Res 2023; 40:419-429. [PMID: 36050545 DOI: 10.1007/s11095-022-03357-0] [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: 05/11/2022] [Accepted: 08/02/2022] [Indexed: 01/19/2023]
Abstract
To date, mechanistic modeling of oral drug absorption has been achieved via the use of physiologically based pharmacokinetic (PBPK) modeling, and more specifically, physiologically based biopharmaceutics model (PBBM). The concept of finite absorption time (FAT) has been developed recently and the application of the relevant physiologically based finite time pharmacokinetic (PBFTPK) models to experimental data provides explicit evidence that drug absorption terminates at a specific time point. In this manuscript, we explored how PBBM and PBFTPK models compare when applied to the same dataset. A set of six compounds with clinical data from immediate-release formulation were selected. Both models resulted in absorption time estimates within the small intestinal transit time, with PBFTPK models generally providing shorter time estimates. A clear relationship between the absorption rate and the product of permeability and luminal concentration was observed, in concurrence with the fundamental assumptions of PBFTPK models. We propose that future research on the synergy between the two modeling approaches can lead to both improvements in the initial parameterization of PBPK/PBBM models but to also expand mechanistic oral absorption concepts to more traditional pharmacometrics applications.
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Affiliation(s)
- Di Wu
- Pharmaceutical Sciences and Clinical Supply, Merck & Co., Inc., Rahway, NJ, 07065, USA
| | - Athanasios A Tsekouras
- Department of Chemistry, Laboratory of Physical Chemistry, National and Kapodistrian University of Athens, Athens, Greece.,PharmaInformatics Unit, ATHENA Research Center, Athens, Greece
| | - Panos Macheras
- PharmaInformatics Unit, ATHENA Research Center, Athens, Greece.,Faculty of Pharmacy, Laboratory of Biopharmaceutics Pharmacokinetics, National and Kapodistrian University of Athens, Athens, Greece
| | - Filippos Kesisoglou
- Pharmaceutical Sciences and Clinical Supply, Merck & Co., Inc., Rahway, NJ, 07065, USA.
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8
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Jamil R, Polli JE. Prediction of In Vitro Drug Dissolution into Fed-state Biorelevant Media: Contributions of Solubility Enhancement and Relatively Low Colloid Diffusivity. Eur J Pharm Sci 2022; 173:106179. [PMID: 35367356 PMCID: PMC9850292 DOI: 10.1016/j.ejps.2022.106179] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/27/2022] [Accepted: 03/27/2022] [Indexed: 01/22/2023]
Abstract
A model was previously derived to predict in vitro dissolution of drug into surfactant solution and showed good predictability for pharmaceutical surfactants, where surfactant-mediated enhanced drug dissolution was several fold less than enhanced solubility (about 3-fold or less) due to drug-loaded micelles exhibiting slower diffusivity than free drug. The present objective was to quantitatively assess the contributions of biorelevant media-mediated solubility and diffusivity on enhanced drug dissolution in FeSSGF and FeSSIF-V2. Three poorly water soluble drugs were subjected to dissolution into FeSSGF and FeSSIF-V2, as well as their corresponding "surfactant-free" media. Solubility and laser diffraction analysis of drug in FeSSGF and dynamic light-scattering studies (DLS) of drug in FeSSIF-V2 were conducted. Results showed drug-saturated FeSSGF globules and FeSSIF-V2 mixed micelles were large and slow diffusing (diffusivities of about 1×10-9 and 7×10-8 cm2/s, respectively), compared to free drug (about 7×10-6 cm2/s) and drug-bound micelles from pharmaceutical surfactants (about 0.5-1×10-6 cm2/s). Of the three drugs, griseofulvin exhibited the greatest biorelevant media-enhanced solubility and dissolution (652-fold and 6.23-fold respectively in FeSSGF, and 190-fold and 12.7-fold respectively in FeSSIF-V2), but slow colloid diffusivity markedly attenuated large solubility benefits, particularly in FeSSGF.
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Affiliation(s)
- Raqeeb Jamil
- University of Maryland, Department of Pharmaceutical
Sciences, 20 Penn Street, Baltimore, MD 21201, USA
| | - James E. Polli
- University of Maryland, Department of Pharmaceutical
Sciences, 20 Penn Street, Baltimore, MD 21201, USA,Corresponding author.
(James E. Polli)
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9
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Developing Clinically Relevant Dissolution Specifications (CRDSs) for Oral Drug Products: Virtual Webinar Series. Pharmaceutics 2022; 14:pharmaceutics14051010. [PMID: 35631595 PMCID: PMC9148161 DOI: 10.3390/pharmaceutics14051010] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 04/29/2022] [Accepted: 05/03/2022] [Indexed: 02/06/2023] Open
Abstract
A webinar series that was organised by the Academy of Pharmaceutical Sciences Biopharmaceutics focus group in 2021 focused on the challenges of developing clinically relevant dissolution specifications (CRDSs) for oral drug products. Industrial scientists, together with regulatory and academic scientists, came together through a series of six webinars, to discuss progress in the field, emerging trends, and areas for continued collaboration and harmonisation. Each webinar also hosted a Q&A session where participants could discuss the shared topic and information. Although it was clear from the presentations and Q&A sessions that we continue to make progress in the field of CRDSs and the utility/success of PBBM, there is also a need to continue the momentum and dialogue between the industry and regulators. Five key areas were identified which require further discussion and harmonisation.
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10
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Characterizing the Physicochemical Properties of Two Weakly Basic Drugs and the Precipitates Obtained from Biorelevant Media. Pharmaceutics 2022; 14:pharmaceutics14020330. [PMID: 35214062 PMCID: PMC8879660 DOI: 10.3390/pharmaceutics14020330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/19/2022] [Accepted: 01/24/2022] [Indexed: 02/04/2023] Open
Abstract
Generally, some weakly basic insoluble drugs will undergo precipitate and redissolution after emptying from the stomach to the small intestinal, resulting in the limited ability to predict the absorption characteristics of compounds in advance. Absorption is determined by the solubility and permeability of compounds, which are related to physicochemical properties, while knowledge about the absorption of redissolved precipitate is poorly documented. Considering that biorelevant media have been widely used to simulate gastrointestinal fluids, sufficient precipitates can be obtained in biorelevant media in vitro. Herein, the purpose of this manuscript is to evaluate the physicochemical properties of precipitates obtained from biorelevant media and active pharmaceutical ingredients (API), and then to explore the potential absorption difference between API and precipitates. Precipitates can be formed by the interaction between compounds and intestinal fluid contents, leading to changes in the crystal structure, melting point, and melting process. However, the newly formed crystals have some advantageous properties compared with the API, such as the improved dissolved rate and the increased intrinsic dissolution rate. Additionally, the permeability of some precipitates obtained from biorelevant media was different from API. Meanwhile, the permeability of rivaroxaban and Drug-A was decreased by 1.92-fold and 3.53-fold, respectively, when the experiments were performed in a biorelevant medium instead of a traditional medium. Therefore, the absorption of precipitate may differ from that of API, and the permeability assay in traditional medium may be overestimated. Based on the research results, it is crucial to understand the physicochemical properties of precipitates and API, which can be used as the departure point to improve the prediction performance of absorption.
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11
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Anane-Adjei AB, Jacobs E, Nash SC, Askin S, Soundararajan R, Kyobula M, Booth J, Campbell A. Amorphous Solid Dispersions: Utilization and Challenges in Preclinical Drug Development within AstraZeneca. Int J Pharm 2021; 614:121387. [PMID: 34933082 DOI: 10.1016/j.ijpharm.2021.121387] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/23/2021] [Accepted: 12/12/2021] [Indexed: 01/04/2023]
Abstract
The poor aqueous solubility of many active pharmaceutical ingredients (APIs) dominates much of the early drug development portfolio and poses a major challenge in pharmaceutical development. Polymer-based amorphous solid dispersions (ASDs) are becoming increasingly common and offer a promising formulation strategy to tackle the solubility and oral absorption issues of these APIs. This review discusses the design, manufacture, and utilisation of ASD formulations in preclinical drug development, with a key focus on the pre-formulation assessments and workflows employed at AstraZeneca.
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Affiliation(s)
- Akosua B Anane-Adjei
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D AstraZeneca, Granta Park, Cambridge, CB21 6GH, UK
| | - Esther Jacobs
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D AstraZeneca, Granta Park, Cambridge, CB21 6GH, UK
| | - Samuel C Nash
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D AstraZeneca, Granta Park, Cambridge, CB21 6GH, UK
| | - Sean Askin
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D AstraZeneca, Granta Park, Cambridge, CB21 6GH, UK
| | - Ramesh Soundararajan
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D AstraZeneca, Granta Park, Cambridge, CB21 6GH, UK
| | - Mary Kyobula
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D AstraZeneca, Granta Park, Cambridge, CB21 6GH, UK
| | - Jonathan Booth
- Pharmaceutical Technology & Development, AstraZeneca, Charter Way, Macclesfield, SK10 2NA, UK
| | - Andrew Campbell
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D AstraZeneca, Granta Park, Cambridge, CB21 6GH, UK.
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12
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Pepin X, Goetschy M, Abrahmsén-Alami S. Mechanistic Models for USP2 Dissolution Apparatus, Including Fluid Hydrodynamics and Sedimentation. J Pharm Sci 2021; 111:185-196. [PMID: 34666045 DOI: 10.1016/j.xphs.2021.10.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 12/30/2022]
Abstract
Drug product dissolution is a key input to Physiologically Based Biopharmaceutics Models (PBBM) to be able to predict in vivo dissolution. The integration of product dissolution in PBBMs for immediate release drug products should be mechanistic, i.e. allow to capture the main determinants of the in vitro dissolution experiment, and extract product batch specific parameter(s). This work focussed on the Product Particle Size Distribution (P-PSD), which was previously shown to integrate the effect of dose, volume, solubility (pH), size and concentration of micelles in the calculation of a batch specific input to PBBMs, and proposed new hydrodynamic (HD) models, which integrate the effect of USP2 apparatus paddle rotation speed and medium viscosity on dissolution. In addition, new models are also proposed to estimate the quantitative impact of formulation and drug sedimentation or "coning" on dissolution. Model "HDC-1" predicts coning in the presence of formulation insoluble excipients and "HDC-2" predicts the sedimentation of the drug substance only. These models were parameterized and validated on 166 dissolution experiments and 18 different drugs. The validation showed that the HD model average fold errors (AFE) for dissolution rate prediction of immediate release formulations, is comprised between 0.85 and 1.15, and the absolute average fold errors (AAFE) are comprised between 1.08 and 1.28, which shows satisfactory predictive power. For experiments where coning was suspected, the HDC-1 model improved the precision of the prediction (defined as ratio of "AAFE-1"values) by 2.46 fold compared to HD model. The calculation of a P-PSD integrating the impact of USP2 paddle rotation, medium viscosity and coning, will improve the PBBM predictions, since these parameters could have an influence on in vitro dissolution, and could open the way to better prediction of the effect of prandial state on human exposure, by developing new in silico tools which could integrate variation of velocity profiles due to the chyme viscosity.
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Affiliation(s)
- Xavier Pepin
- New Modalities and Parenteral Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK.
| | - Matéo Goetschy
- During manuscript preparation: European School of Chemistry, Polymers and Materials. University of Strasbourg (ECPM-Strasbourg), Strasbourg, France
| | - Susanna Abrahmsén-Alami
- Innovation Sciences & External Liaisons, Pharmaceutical Technology & Development, Operations, AstraZeneca, Gothenburg, Sweden
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13
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Thakore SD, Sirvi A, Joshi VC, Panigrahi SS, Manna A, Singh R, Sangamwar AT, Bansal AK. Biorelevant dissolution testing and physiologically based absorption modeling to predict in vivo performance of supersaturating drug delivery systems. Int J Pharm 2021; 607:120958. [PMID: 34332060 DOI: 10.1016/j.ijpharm.2021.120958] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 07/08/2021] [Accepted: 07/26/2021] [Indexed: 11/29/2022]
Abstract
Supersaturating drug delivery systems (SDDS) enhance the oral absorption of poorly water-soluble drugs by achieving a supersaturated state in the gastrointestinal tract. The maintenance of a supersaturated state is decided by the complex interplay among inherent properties of drug, excipients and physiological conditions of gastrointestinal tract. The biopharmaceutical advantage through SDDS can be mechanistically investigated by coupling biopredictive dissolution testing with physiologically based absorption modeling (PBAM). However, the development of biopredictive dissolution methods possess challenges due to concurrent dissolution, supersaturation, precipitation, and possible redissolution of precipitates during gastrointestinal transit of SDDS. In this comprehensive review, our effort is to critically assess the current state-of-knowledge and provide future directions for PBAM of SDDS. The review outlines various methods used to retrieve physiologically relevant values for input parameters like solubility, dissolution, precipitation, lipid-digestion and permeability of SDDS. SDDS-specific parameterization includes solubility values corresponding to apparent physical form, dissolution in physiologically relevant volumes with biorelevant media, and transfer experiments to incorporate precipitation kinetics. Interestingly, the lack of experimental permeability values and modification of absorption flux through SDDS possess the additional challenge for its PBAM. Supersaturation triggered permeability modifications are reported to fit the observed plasma concentration-time profile. Hence, the experimental insights on good fitting with modified permeability can be potential area of future research for the development of in vitro methods to reliably predict oral absorption of SDDS.
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Affiliation(s)
- Samarth D Thakore
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, Mohali, Punjab 160062, India
| | - Arvind Sirvi
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, Mohali, Punjab 160062, India
| | - Vikram C Joshi
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, Mohali, Punjab 160062, India
| | - Sanjali S Panigrahi
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, Mohali, Punjab 160062, India
| | - Arijita Manna
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, Mohali, Punjab 160062, India
| | - Ridhima Singh
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, Mohali, Punjab 160062, India
| | - Abhay T Sangamwar
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, Mohali, Punjab 160062, India
| | - Arvind K Bansal
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Sector 67, S.A.S. Nagar, Mohali, Punjab 160062, India.
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14
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Azer K, Kaddi CD, Barrett JS, Bai JPF, McQuade ST, Merrill NJ, Piccoli B, Neves-Zaph S, Marchetti L, Lombardo R, Parolo S, Immanuel SRC, Baliga NS. History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications. Front Physiol 2021; 12:637999. [PMID: 33841175 PMCID: PMC8027332 DOI: 10.3389/fphys.2021.637999] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/25/2021] [Indexed: 12/24/2022] Open
Abstract
Mathematical biology and pharmacology models have a long and rich history in the fields of medicine and physiology, impacting our understanding of disease mechanisms and the development of novel therapeutics. With an increased focus on the pharmacology application of system models and the advances in data science spanning mechanistic and empirical approaches, there is a significant opportunity and promise to leverage these advancements to enhance the development and application of the systems pharmacology field. In this paper, we will review milestones in the evolution of mathematical biology and pharmacology models, highlight some of the gaps and challenges in developing and applying systems pharmacology models, and provide a vision for an integrated strategy that leverages advances in adjacent fields to overcome these challenges.
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Affiliation(s)
- Karim Azer
- Quantitative Sciences, Bill and Melinda Gates Medical Research Institute, Cambridge, MA, United States
| | - Chanchala D. Kaddi
- Quantitative Sciences, Bill and Melinda Gates Medical Research Institute, Cambridge, MA, United States
| | | | - Jane P. F. Bai
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Sean T. McQuade
- Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, United States
| | - Nathaniel J. Merrill
- Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, United States
| | - Benedetto Piccoli
- Department of Mathematical Sciences and Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, United States
| | - Susana Neves-Zaph
- Translational Disease Modeling, Data and Data Science, Sanofi, Bridgewater, NJ, United States
| | - Luca Marchetti
- Fondazione the Microsoft Research – University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy
| | - Rosario Lombardo
- Fondazione the Microsoft Research – University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy
| | - Silvia Parolo
- Fondazione the Microsoft Research – University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy
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Wu F, Shah H, Li M, Duan P, Zhao P, Suarez S, Raines K, Zhao Y, Wang M, Lin HP, Duan J, Yu L, Seo P. Biopharmaceutics Applications of Physiologically Based Pharmacokinetic Absorption Modeling and Simulation in Regulatory Submissions to the U.S. Food and Drug Administration for New Drugs. AAPS JOURNAL 2021; 23:31. [DOI: 10.1208/s12248-021-00564-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 02/01/2021] [Indexed: 12/19/2022]
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16
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An In Vitro-In Vivo Simulation Approach for the Prediction of Bioequivalence. MATERIALS 2021; 14:ma14030555. [PMID: 33498960 PMCID: PMC7865526 DOI: 10.3390/ma14030555] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 01/31/2023]
Abstract
The aim of this study was to develop a new in vitro–in vivo simulation (IVIVS) approach in order to predict the outcome of a bioequivalence study. The predictability of the IVIVS procedure was evaluated through its application in the development process of a new generic product of amlodipine/irbesartan/hydrochlorothiazide. The developed IVIVS methodology is composed of three parts: (a) mathematical description of in vitro dissolution profiles, (b) mathematical description of in vivo kinetics, and (c) development of joint in vitro–in vivo simulations. The entire programming was done in MATLAB® and all created scripts were validated through other software. The IVIVS approach can be implemented for any number of subjects, clinical design, variability and can be repeated for thousands of times using Monte Carlo techniques. The probability of success of each scenario is recorded and finally, an overall assessment is made in order to select the most suitable batch. Alternatively, if the IVIVS shows reduced probability of BE success, the R&D department is advised to reformulate the product. In this study, the IVIVS approach predicted successfully the BE outcome of the three drugs. During the development of generics, the IVIVS approach can save time and expenses.
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