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Bhattiprolu AK, Kollipara S, Boddu R, Arumugam A, Khan SM, Ahmed T. A Semi-Mechanistic Physiologically Based Biopharmaceutics Model to Describe Complex and Saturable Absorption of Metformin: Justification of Dissolution Specifications for Extended Release Formulation. AAPS PharmSciTech 2024; 25:193. [PMID: 39168956 DOI: 10.1208/s12249-024-02904-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 07/26/2024] [Indexed: 08/23/2024] Open
Abstract
Physiologically based pharmacokinetic (PBPK) or physiologically based biopharmaceutics models (PBBM) demonstrated plethora of applications in both new drugs and generic product development. Justification of dissolution specifications and establishment of dissolution safe space is an important application of such modeling approaches. In case of molecules exhibiting saturable absorption behavior, justification of dissolution specifications requires development of a model that incorporates effects of transporters is critical to simulate in vivo scenario. In the present case, we have developed a semi-mechanistic PBBM to describe the non-linearity of BCS class III molecule metformin for justification of dissolution specifications of extended release formulation at strengths 500 mg and 1000 mg. Semi-mechanistic PBBM was built using physicochemical properties, dissolution and non-linearity was accounted through incorporation of multiple transporter kinetics at absorption level. The model was extensively validated using literature reported intravenous, oral (immediate & extended release) formulations and further validated using in-house bioequivalence data in fasting and fed conditions. Virtual dissolution profiles at lower and upper specifications were generated to justify the dissolution specifications. The model predicted literature as well as in-house clinical study data with acceptable prediction errors. Further, virtual bioequivalence trials predicted the bioequivalence outcome that matched with clinical study data. The model predicted bioequivalence when lower and upper specifications were compared against pivotal test formulations thereby justifying dissolution specifications. Overall, complex and saturable absorption pathway of metformin was successfully simulated and this work resulted in regulatory acceptance of dissolution specifications which has ability to reduce multiple dissolution testing.
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Affiliation(s)
- Adithya Karthik Bhattiprolu
- Biopharmaceutics Group, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integrated Product Development Organization (IPDO), BachupallyMedchal Malkajgiri District, Hyderabad, Telangana, 500 090, India
| | - Sivacharan Kollipara
- Biopharmaceutics Group, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integrated Product Development Organization (IPDO), BachupallyMedchal Malkajgiri District, Hyderabad, Telangana, 500 090, India
| | - Rajkumar Boddu
- Biopharmaceutics Group, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integrated Product Development Organization (IPDO), BachupallyMedchal Malkajgiri District, Hyderabad, Telangana, 500 090, India
| | - Anand Arumugam
- Clinical Pharmacokinetics, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integrated Product Development Organization (IPDO), BachupallyMedchal Malkajgiri District, Hyderabad, Telangana, 500 090, India
| | - Sohel Mohammed Khan
- Clinical Pharmacokinetics, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integrated Product Development Organization (IPDO), BachupallyMedchal Malkajgiri District, Hyderabad, Telangana, 500 090, India
| | - Tausif Ahmed
- Biopharmaceutics Group, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integrated Product Development Organization (IPDO), BachupallyMedchal Malkajgiri District, Hyderabad, Telangana, 500 090, India.
- Clinical Pharmacokinetics, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integrated Product Development Organization (IPDO), BachupallyMedchal Malkajgiri District, Hyderabad, Telangana, 500 090, India.
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2
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Ono A, Kurihara R, Terada K, Sugano K. Bioequivalence Dissolution Test Criteria for Formulation Development of High Solubility-Low Permeability Drugs. Chem Pharm Bull (Tokyo) 2023; 71:213-219. [PMID: 36858526 DOI: 10.1248/cpb.c22-00685] [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: 03/03/2023]
Abstract
The purpose of the present study was to provide the experimental and theoretical basis of bioequivalence (BE) dissolution test criteria for formulation development of high solubility-low permeability drugs. According to the biowaiver scheme based on the biopharmaceutics classification system (BCS), for BCS class III drugs, a test formulation and a reference formulation are predicted to be BE when 85% of the drug dissolves within 15 min (T85% < 15 min) in the compendial dissolution test. However, previous theoretical simulation studies have suggested that this criterion may possibly be relaxed for use in practical formulation development. In the present study, the dissolution profiles of 14 famotidine formulations for which BE has been clinically confirmed were evaluated by the compendial dissolution test at pH 1.2 and 6.8. The plasma concentration-time profiles of famotidine formulations were simulated using the dissolution data. In addition, virtual simulations were performed to estimate the range of dissolution rates to be bioequivalent. The fastest and slowest dissolution rates among the famotidine formulations were T85% = 10 min and T85% = 60 min at pH 6.8, respectively. The virtual simulation BE study suggested that famotidine formulations can be bioequivalent when T85% < 99 min. In the case of BCS III drugs, the rate-limiting step of oral drug absorption is the membrane permeation process rather than the dissolution process. Therefore, a difference in the dissolution process has less effect on BE. These results contribute to a better understanding of the biowaiver approach and would be of great help in the formulation development of BCS class III drugs.
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Affiliation(s)
- Asami Ono
- Laboratory for Chemistry, Manufacturing, and Control, Pharmaceuticals Production & Technology Center, Asahi Kasei Pharma Corporation
| | - Rena Kurihara
- Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Toho University
| | - Katsuhide Terada
- Laboratory of Molecular Pharmaceutics and Technology, Faculty of Pharmacy, Takasaki University of Health and Welfare
| | - Kiyohiko Sugano
- Molecular Pharmaceutics Laboratory, College of Pharmaceutical Sciences, Ritsumeikan University
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3
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Gulsun T, Izat N, Sahin S. Influence of permeability enhancers on the paracellular permeability of metformin hydrochloride and furosemide across Caco-2 cells. Can J Physiol Pharmacol 2022; 101:185-199. [PMID: 36459686 DOI: 10.1139/cjpp-2022-0265] [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: 12/04/2022]
Abstract
Permeability enhancers can affect absorption of paracellularly transported drugs. This study aims to evaluate effects of permeability enhancers (chitosan, methyl-β -cyclodextrin, sodium caprate, sodium lauryl sulfate, etc.) on the permeability of paracellularly absorbed furosemide and metformin hydrochloride. Methyl thiazole tetrazolium bromide test was carried out to determine the drug concentrations in permeability study. Trans-epithelial electrical resistance (TEER) values determined to assess the integrity of tight junctions. Permeability enhancers were applied at different concentrations alone, in dual/triple combinations. Permeability was determined using human colorectal adenocarcinoma (Caco-2) cells (TEER > 400 Ω·cm2). Permeability enhancers have no significant effect (<2-fold; p > 0.05) on the permeability of furosemide (1.80 × 10-5 ± 4.55 × 10-7 cm/s); however, metformin permeability (1.36 × 10-5 ± 1.25 × 10-6 cm/s) increased significantly (p < 0.05) with 0.3% and 0.5% (w/v) chitosan (2.0- and 2.7-fold, respectively), 1% methyl-β -cyclodextrin (w/v) (3.5-fold), 10 and 20 µmol/L sodium caprate (2.2- and 2.8-fold, respectively), and 0.012% sodium lauryl sulfate (w/v) (1.9-fold). Furosemide permeability increased significantly (p < 0.05) with chitosan-sodium lauryl sulfate combination (1.7-fold), and all triple combinations (1.4- to 1.9-fold). Chitosan containing dual/triple combinations resulted in significant increase (p < 0.05) in metformin permeability (1.7 to 2.8-fold). All results indicated that absorption of furosemide and metformin can be improved by the combination of permeability enhancers. Therefore, it can be evaluated for the formulation of development strategies containing furosemide and metformin by the pharmaceutical industry.
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Affiliation(s)
- Tugba Gulsun
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Hacettepe University, Ankara 06100, Turkey
| | - Nihan Izat
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Hacettepe University, Ankara 06100, Turkey
| | - Selma Sahin
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Hacettepe University, Ankara 06100, Turkey
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4
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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: 3] [Impact Index Per Article: 1.5] [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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5
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Pettinau F, Manca I, Manca I, Pittau B. Rapid Approach for Pharmaceutical Quality Evaluation and Comparison. ChemistrySelect 2022. [DOI: 10.1002/slct.202200712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Francesca Pettinau
- Institute of Translational Pharmacology National Research Council 09010 Pula CA Italy
| | - Ilaria Manca
- Institute of Translational Pharmacology National Research Council 09010 Pula CA Italy
| | - Ilaria Manca
- Institute of Translational Pharmacology National Research Council 09010 Pula CA Italy
| | - Barbara Pittau
- Institute of Translational Pharmacology National Research Council 09010 Pula CA Italy
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6
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Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin. Pharmaceutics 2021; 13:pharmaceutics13111873. [PMID: 34834288 PMCID: PMC8624529 DOI: 10.3390/pharmaceutics13111873] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 10/31/2021] [Accepted: 11/02/2021] [Indexed: 12/18/2022] Open
Abstract
Bariatric surgery is an effective treatment for severe obesity and related comorbidities, such as type II diabetes. Gastric bypass surgery shortens the length of the intestine, possibly leading to altered drug absorption. Metformin, a first-line treatment for type II diabetes, has permeability-dependent drug absorption, which may be sensitive to intestinal anatomic changes during bypass surgery, including Roux-en-Y gastric bypass (RYGB). Previous computer simulation data indicate increased metformin absorption after RYGB. In this study, we experimentally determined the region-dependent permeability of metformin, using the rat single-pass intestinal perfusion method (SPIP), which we then implemented into GastroPlusTM to assess the contribution of our SPIP data to post-RYGB metformin absorption modeling. Previous simulations allowed a good fit with in vivo literature data on healthy and obese control subjects. However, it was revealed that for post-RYGB drug absorption predictions, simply excluding the duodenum/jejunum is insufficient, as the software underestimates the observed plasma concentrations post-RYGB. By implementing experimentally determined segmental-dependent permeabilities for metformin in the remaining segments post-surgery, GastroPlusTM proved to fit the observed plasma concentration profile, making it a useful tool for predicting drug absorption after gastric bypass. Reliable evaluation of the parameters dictating drug absorption is required for the accurate prediction of overall absorption after bariatric surgery.
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7
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Metry M, Shu Y, Abrahamsson B, Cristofoletti R, Dressman JB, Groot DW, Parr A, Langguth P, Shah VP, Tajiri T, Mehta MU, Polli JE. Biowaiver Monographs for Immediate Release Solid Oral Dosage Forms: Metformin Hydrochloride. J Pharm Sci 2021; 110:1513-1526. [PMID: 33450218 DOI: 10.1016/j.xphs.2021.01.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 12/30/2020] [Accepted: 01/07/2021] [Indexed: 01/11/2023]
Abstract
Data are examined regarding possible waiver of in vivo bioequivalence testing (i.e. biowaiver) for approval of metformin hydrochloride (metformin) immediate-release solid oral dosage forms. Data include metformin's Biopharmaceutics Classification System (BCS) properties, including potential excipient interactions. Metformin is a prototypical transporter-mediated drug and is highly soluble, but only 50% of an orally administered dose is absorbed from the gut. Therefore, metformin is a BCS Class III substance. A BCS-based approval approach for major changes to marketed products and new generics is admissible if test and reference dosage forms have the identical active pharmaceutical ingredient and if in vitro dissolution from both are very rapid (i.e. at least 85% within 15 min at pH 1.2, 4.5, and 6.8). Recent International Council for Harmonisation BCS guidance indicates all excipients for Class III biowaivers are recommended to be qualitatively the same and quantitatively similar (except for preservatives, flavor agents, colorant, or capsule shell or film coating excipients). However, despite metformin being a prototypical transporter-mediated drug, there is no evidence that commonly used excipients impact metformin absorption, such that this restriction on excipients for BCS III drugs merits regulatory relief. Commonly used excipients in usual amounts are not likely to impact metformin absorption.
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Affiliation(s)
- Melissa Metry
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA
| | - Yan Shu
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA
| | - Bertil Abrahamsson
- Oral Product Development, Pharmaceutical Technology & Development, Operations AstraZeneca, Gothenburg, Sweden
| | - Rodrigo Cristofoletti
- Brazilian Health Surveillance Agency (Anvisa), Division of Bioequivalence, Brasilia, Brazil
| | - Jennifer B Dressman
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt am Main, Germany
| | - D W Groot
- RIVM-National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Alan Parr
- Bioceutics LCC, Raleigh-Durham, North Carolina, USA
| | - Peter Langguth
- Department of Pharmaceutical Technology and Biopharmaceutics, Johannes Gutenberg University, Mainz, Germany
| | - Vinod P Shah
- International Pharmaceutical Federation (FIP), The Hague, the Netherlands
| | - Tomokazu Tajiri
- Astellas Pharma Inc, Analytical Research Laboratories, Yaizu, Japan
| | - Mehul U Mehta
- United States Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, MD, USA
| | - James E Polli
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA.
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8
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Sonocomplexation as an effective tool to enhance the antitumorigenic effect of metformin: Preparation, in vitro characterization, molecular dynamic simulation & MiaPaCa-2 cell line hypoxia evaluation. J Drug Deliv Sci Technol 2020. [DOI: 10.1016/j.jddst.2020.101968] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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9
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Dennison TJ, Smith JC, Badhan RKS, Mohammed AR. Formulation and Bioequivalence Testing of Fixed-Dose Combination Orally Disintegrating Tablets for the Treatment of Tuberculosis in the Paediatric Population. J Pharm Sci 2020; 109:3105-3113. [PMID: 32710905 DOI: 10.1016/j.xphs.2020.07.016] [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: 05/07/2020] [Revised: 07/13/2020] [Accepted: 07/16/2020] [Indexed: 10/23/2022]
Abstract
Tuberculosis (TB) is believed to affect around 10 million people worldwide. Treatment for TB includes isoniazid and rifampicin, with fixed-dose combination (FDC) recommended for improved patient compliance. Similarly, orally disintegrating tablets (ODTs) are an increasingly popular dosage form that aid compliance since they do not require swallowing. In this study ODTs of isoniazid and rifampicin, either as discrete or FDC doses, were formulated and bioequivalence between single and combination doses compared using in vitro and in silico approaches. Dissolution profiles were compared using FDA advised difference (f1) and similarity (f2) testing in biorelevant media. Rifampicin release from FDCs decreased by approximately 15% in fed-state media (failed f1 and f2), which was attributed to enhanced rifampicin degradation in the presence of isoniazid at lower pH. Apparent permeability (Papp) values derived from Caco-2 transport studies were included alongside dissolution results into a physiologically based pharmacokinetic (PBPK) model, to simulate in vivo bioavailability in healthy subjects. Models showed no difference in bioavailability between formulations or dosing (fasted or fed) state, despite the failures in dissolution-based bioequivalence testing, highlighting shortcomings in f1 and f2 assessment and the strength of PBPK models.
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Affiliation(s)
| | - Julian C Smith
- Faculty of Computing, Engineering and Science, University of South Wales, UK
| | - Raj K S Badhan
- Aston School of Pharmacy, Aston University, Birmingham, UK
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10
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Selen A, Müllertz A, Kesisoglou F, Ho RJY, Cook JA, Dickinson PA, Flanagan T. Integrated Multi-stakeholder Systems Thinking Strategy: Decision-making with Biopharmaceutics Risk Assessment Roadmap (BioRAM) to Optimize Clinical Performance of Drug Products. AAPS JOURNAL 2020; 22:97. [PMID: 32719954 DOI: 10.1208/s12248-020-00470-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/04/2020] [Indexed: 12/20/2022]
Abstract
Decision-making in drug development benefits from an integrated systems approach, where the stakeholders identify and address the critical questions for the system through carefully designed and performed studies. Biopharmaceutics Risk Assessment Roadmap (BioRAM) is such a systems approach for application of systems thinking to patient focused and timely decision-making, suitable for all stages of drug discovery and development. We described the BioRAM therapy-driven drug delivery framework, strategic roadmap, and integrated risk assessment instrument (BioRAM Scoring Grid) in previous publications (J Pharm Sci 103:3377-97, 2014; J Pharm Sci 105:3243-55, 2016). Integration of systems thinking with pharmaceutical development, manufacturing, and clinical sciences and health care is unique to BioRAM where the developed strategy identifies the system and enables risk characterization and balancing for the entire system. Successful decision-making process in BioRAM starts with the Blueprint (BP) meetings. Through shared understanding of the system, the program strategy is developed and captured in the program BP. Here, we provide three semi-hypothetical examples for illustrating risk-based decision-making in high and moderate risk settings. In the high-risk setting, which is a rare disease area, two completely alternate development approaches are considered (gene therapy and small molecule). The two moderate-risk examples represent varied knowledge levels and drivers for the programs. In one moderate-risk example, knowledge leveraging opportunities are drawn from the manufacturing knowledge and clinical performance of a similar drug substance. In the other example, knowledge on acute tolerance patterns for a similar mechanistic pathway is utilized for identifying markers to inform the drug release profile from the dosage form with the necessary "flexibility" for dosing. All examples illustrate implementation of the BioRAM strategy for leveraging knowledge and decision-making to optimize the clinical performance of drug products for patient benefit.
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Affiliation(s)
- Arzu Selen
- US Food and Drug Administration, Center for Drug Evaluation and Research, Office of Pharmaceutical Quality, Office of Testing and Research, 10903 New Hampshire Ave., Silver Spring, Maryland, 20993, USA.
| | - Anette Müllertz
- Bioneer: FARMA, Department of Pharmacy, University of Copenhagen, 2100, Copenhagen, Denmark
| | - Filippos Kesisoglou
- Biopharmaceutics, Pharmaceutical Sciences and Clinical Supply, Merck & Co, Inc., West Point, Pennsylvania, 19486, USA
| | - Rodney J Y Ho
- University of Washington, Seattle, Washington, 98195, USA
| | - Jack A Cook
- Clinical Pharmacology Department, Global Product Development, Pfizer, Inc., Groton, Connecticut, 06340, USA
| | - Paul A Dickinson
- Seda Pharmaceutical Development Services, Alderley Park, Alderley Edge, Cheshire, SK10 4TG, UK
| | - Talia Flanagan
- UCB Pharma S.A., Avenue de l'Industrie, 1420, Braine - l'Alleud, Belgium
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11
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Kato T, Watanabe T, Nakamura K, Ando S. Integration of In Silico Pharmacokinetic Modeling Approaches Into In Vitro Dissolution Profiles to Predict Bioavailability of a Poorly Soluble Compound. J Pharm Sci 2019; 108:3723-3728. [DOI: 10.1016/j.xphs.2019.06.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 06/23/2019] [Accepted: 06/25/2019] [Indexed: 11/16/2022]
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12
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Hofsäss MA, Dressman JB. The Discriminatory Power of the BCS-Based Biowaiver: A Retrospective With Focus on Essential Medicines. J Pharm Sci 2019; 108:2824-2837. [DOI: 10.1016/j.xphs.2019.04.030] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 04/01/2019] [Accepted: 04/25/2019] [Indexed: 11/25/2022]
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13
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Erdemir D, Rosenbaum T, Chang SY, Wong B, Kientzler D, Wang S, Desai D, Kiang S. Novel Co-processing Methodology To Enable Direct Compression of a Poorly Compressible, Highly Water-Soluble Active Pharmaceutical Ingredient for Controlled Release. Org Process Res Dev 2018. [DOI: 10.1021/acs.oprd.8b00204] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Deniz Erdemir
- Drug Product Science and Technology, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States
| | - Tamar Rosenbaum
- Drug Product Science and Technology, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States
| | - Shih-Ying Chang
- Drug Product Science and Technology, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States
| | - Benjamin Wong
- Drug Product Science and Technology, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States
| | - Donald Kientzler
- Drug Product Science and Technology, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States
| | - Steve Wang
- Drug Product Science and Technology, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States
| | - Divyakant Desai
- Drug Product Science and Technology, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States
| | - San Kiang
- Drug Product Science and Technology, Bristol Myers Squibb, 1 Squibb Drive, New Brunswick, New Jersey 08903, United States
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14
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Biowaiver Monographs for Immediate Release Solid Oral Dosage Forms: Proguanil Hydrochloride. J Pharm Sci 2018; 107:1761-1772. [DOI: 10.1016/j.xphs.2018.03.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 02/20/2018] [Accepted: 03/08/2018] [Indexed: 11/18/2022]
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15
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Dennison TJ, Smith JC, Badhan RK, Mohammed AR. Fixed-dose combination orally disintegrating tablets to treat cardiovascular disease: formulation, in vitro characterization and physiologically based pharmacokinetic modeling to assess bioavailability. Drug Des Devel Ther 2017; 11:811-826. [PMID: 28352156 PMCID: PMC5358997 DOI: 10.2147/dddt.s126035] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death among men and women worldwide. In CVD, hypertension and dyslipidemia commonly coexist and are managed through coadministration of amlodipine and atorvastatin, respectively. The case for fixed-dose combination (FDC) oral dosage forms and orally disintegrating tablet (ODT) technology to enhance outcomes and compliance is strong. This work follows the development and characterization of single and FDC ODTs containing amlodipine and atorvastatin, followed by bioequivalence comparison between these single and FDC formulations, using in vitro dissolution and Caco-2 apparent permeability (Papp) and in silico physiologically based pharmacokinetic modeling approaches. ODTs containing amlodipine (5 mg) and atorvastatin (10 mg) either alone or in combination rapidly disintegrated (<30 s) while displaying a radial crushing strength in excess of 100 N and friability ≤1%. In vitro dissolution test was performed in fasted and fed-state simulated intestinal fluid (FeSSIF) and analyzed using high-performance liquid chromatography. Dissolution profiles for single and FDC ODTs were compared using US FDA recommended difference (f1) and similarity (f2) factor testing for bioequivalence. In all cases, there was no difference in active pharmaceutical ingredient dissolution between single or FDC ODTs, with the exception of amlodipine in FeSSIF. Pharmacokinetic clinical trial simulations were conducted using Simcyp (Version 14), incorporating Papp and dissolution data. Simulated clinical trials in healthy volunteers showed no difference in bioavailability based on pharmacokinetic parameters between single and combination doses with either active pharmaceutical ingredient. An increase in Cmax and AUC for atorvastatin in fed subjects was attributed to extended transit along the gut lumen and reduced atorvastatin metabolism due to lower CYP3A4 expression at more distal small intestine absorption sites. The results demonstrated bioequivalence of an FDC ODT for amlodipine and atorvastatin, while highlighting several limitations of f1 and f2 bioequivalence testing and strengths of mechanistic pharmacokinetic modeling for oral drug absorption.
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Affiliation(s)
| | | | - Raj K Badhan
- Aston School of Pharmacy, Aston University, Birmingham
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16
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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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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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Chen W, Desai D, Good D, Crison J, Timmins P, Paruchuri S, Wang J, Ha K. Mathematical Model-Based Accelerated Development of Extended-release Metformin Hydrochloride Tablet Formulation. AAPS PharmSciTech 2016; 17:1007-13. [PMID: 26729531 DOI: 10.1208/s12249-015-0423-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 09/24/2015] [Indexed: 01/08/2023] Open
Abstract
A computational fluid dynamic (CFD) model was developed to predict metformin release from a hydroxypropylmethylcellulose (HPMC) matrix-based extended-release formulation that took into consideration the physical and chemical properties of the drug substance, composition, as well as size and shape of the tablet. New high dose strength (1000 mg) tablet geometry was selected based on the surface area/volume (SA/V) approach advocated by Lapidus/Lordi/Reynold to obtain the desired equivalent metformin release kinetics. Maintaining a similar SA/V ratio across all extended-release metformin hydrochloride (Met XR) tablet strengths that had different geometries provided similar simulations of dissolution behavior. Experimental dissolution profiles of three lots of high-strength tablets agreed with the simulated release kinetics. Additionally, a pharmacokinetic absorption model was developed using GastroPlus™ software and known physicochemical, pharmacokinetic, and in vitro dissolution properties of metformin to predict the clinical exposure of the new high strength (1000 mg) tablet prior to conducting a human clinical bioequivalence study. In vitro metformin release kinetics were utilized in the absorption model to predict exposures in humans for new 1000-mg Met XR tablets, and the absorption model correctly projected equivalent in vivo exposure across all dose strengths. A clinical bioequivalence study was pursued based on the combined modeling results and demonstrated equivalent exposure as predicted by the simulations.
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Mitra A, Zhu W, Kesisoglou F. Physiologically Based Absorption Modeling for Amorphous Solid Dispersion Formulations. Mol Pharm 2016; 13:3206-15. [PMID: 27442959 DOI: 10.1021/acs.molpharmaceut.6b00424] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Amitava Mitra
- Biopharmaceutics, Pharmaceutical Sciences and Clinical Supply, Merck & Co. Inc., West Point, Pennsylvania 19486, United States
| | - Wei Zhu
- Biopharmaceutics, Pharmaceutical Sciences and Clinical Supply, Merck & Co. Inc., West Point, Pennsylvania 19486, United States
| | - Filippos Kesisoglou
- Biopharmaceutics, Pharmaceutical Sciences and Clinical Supply, Merck & Co. Inc., West Point, Pennsylvania 19486, United States
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Sahu AK, Verma A. Development and statistical optimization of chitosan and eudragit based gastroretentive controlled release multiparticulate system for bioavailability enhancement of metformin HCl. JOURNAL OF PHARMACEUTICAL INVESTIGATION 2016. [DOI: 10.1007/s40005-016-0229-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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21
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Kesisoglou F, Mitra A. Application of Absorption Modeling in Rational Design of Drug Product Under Quality-by-Design Paradigm. AAPS JOURNAL 2015; 17:1224-36. [PMID: 26002509 DOI: 10.1208/s12248-015-9781-1] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 04/28/2015] [Indexed: 01/13/2023]
Abstract
Physiologically based absorption models can be an important tool in understanding product performance and hence implementation of Quality by Design (QbD) in drug product development. In this report, we show several case studies to demonstrate the potential application of absorption modeling in rational design of drug product under the QbD paradigm. The examples include application of absorption modeling—(1) prior to first-in-human studies to guide development of a formulation with minimal sensitivity to higher gastric pH and hence reduced interaction when co-administered with PPIs and/or H2RAs, (2) design of a controlled release formulation with optimal release rate to meet trough plasma concentrations and enable QD dosing, (3) understanding the impact of API particle size distribution on tablet bioavailability and guide formulation design in late-stage development, (4) assess impact of API phase change on product performance to guide specification setting, and (5) investigate the effect of dissolution rate changes on formulation bioperformance and enable appropriate specification setting. These case studies are meant to highlight the utility of physiologically based absorption modeling in gaining a thorough understanding of the product performance and the critical factors impacting performance to drive design of a robust drug product that would deliver the optimal benefit to the patients.
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Affiliation(s)
- Filippos Kesisoglou
- Biopharmaceutics, Pharmaceutical Sciences and Clinical Supply, Merck & Co. Inc., WP75B-210, 770 Sumneytown Pike, West Point, Pennsylvania, 19486-0004, USA,
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Chitnis SD, Han Y, Yamaguchi M, Mita S, Zhao R, Sunkara G, Kulmatycki K. Population pharmacokinetic modeling and noncompartmental analysis demonstrated bioequivalence between metformin component of metformin/vildagliptin fixed-dose combination products and metformin immediate-release tablet sourced from various countries. Clin Pharmacol Drug Dev 2015; 5:40-51. [PMID: 27119577 DOI: 10.1002/cpdd.191] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 02/27/2015] [Accepted: 03/19/2015] [Indexed: 01/09/2023]
Abstract
Metformin is the first-line pharmacotherapy choice for treating type-2 diabetes mellitus, alone or in combination with other antidiabetic drugs. During the development of immediate-release (IR) metformin containing novel fixed-dose combination (FDC) products, several health-authorities require sponsors to demonstrate bioequivalence between FDC products and the country-sourced metformin for market approval. Eight bioequivalence studies that compared metformin/vildagliptin FDC product (test) to metformin IR tablet sourced from various countries (reference) were conducted. A population pharmacokinetic (PPK) analysis of pooled metformin concentration-time data was performed to evaluate whether country-sourced metformin is a significant covariate. The PPK analysis demonstrated that there was no clinically relevant effect of metformin source or race/ethnicity on metformin pharmacokinetics. Also, noncompartmental analysis conducted showed that 90%CI of geometric mean ratios of test to reference metformin formulations, calculated for maximum-concentration and exposure parameters, were within the 80%-125% criteria, indicating comparable metformin exposure regardless of the country-sourced metformin IR formulation. These results are consistent with the biopharmaceutics properties of metformin and provide scientific evidence that after assessing in vitro dissolution of novel FDC formulation, additional bioequivalence studies with multiple countries' reference products may not be required once bioequivalence is established with 1 country-sourced IR metformin formulation.
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Affiliation(s)
| | - Yi Han
- Novartis Institutes for BioMedical Research, Shanghai, China
| | | | | | - Rong Zhao
- Novartis Institutes for BioMedical Research, Shanghai, China
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23
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Newby D, Freitas AA, Ghafourian T. Comparing multilabel classification methods for provisional biopharmaceutics class prediction. Mol Pharm 2014; 12:87-102. [PMID: 25397721 DOI: 10.1021/mp500457t] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The biopharmaceutical classification system (BCS) is now well established and utilized for the development and biowaivers of immediate oral dosage forms. The prediction of BCS class can be carried out using multilabel classification. Unlike single label classification, multilabel classification methods predict more than one class label at the same time. This paper compares two multilabel methods, binary relevance and classifier chain, for provisional BCS class prediction. Large data sets of permeability and solubility of drug and drug-like compounds were obtained from the literature and were used to build models using decision trees. The separate permeability and solubility models were validated, and a BCS validation set of 127 compounds where both permeability and solubility were known was used to compare the two aforementioned multilabel classification methods for provisional BCS class prediction. Overall, the results indicate that the classifier chain method, which takes into account label interactions, performed better compared to the binary relevance method. This work offers a comparison of multilabel methods and shows the potential of the classifier chain multilabel method for improved biological property predictions for use in drug discovery and development.
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Affiliation(s)
- Danielle Newby
- Medway School of Pharmacy, Universities of Kent and Greenwich , Chatham, Kent, ME4 4TB, U.K
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24
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Viscosity-mediated negative food effect on oral absorption of poorly-permeable drugs with an absorption window in the proximal intestine: In vitro experimental simulation and computational verification. Eur J Pharm Sci 2014; 61:40-53. [DOI: 10.1016/j.ejps.2014.04.008] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2014] [Revised: 03/18/2014] [Accepted: 04/08/2014] [Indexed: 01/23/2023]
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Desai D, Wong B, Huang Y, Tang D, Hemenway J, Paruchuri S, Guo H, Hsieh D, Timmins P. Influence of dissolution media pH and USP1 basket speed on erosion and disintegration characteristics of immediate release metformin hydrochloride tablets. Pharm Dev Technol 2014; 20:540-5. [PMID: 24621340 DOI: 10.3109/10837450.2014.892132] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
PURPOSE To investigate the influence of the pH of the dissolution medium on immediate release 850 mg metformin hydrochloride tablets. METHODS A traditional wet granulation method was used to manufacture metformin hydrochloride tablets with or without a disintegrant. Tablet dissolution was conducted using the USP apparatus I at 100 rpm. RESULTS In spite of its pH-independent high solubility, metformin hydrochloride tablets dissolved significantly slower in 0.1 N HCl (pH 1.2) and 50 mM pH 4.5 acetate buffer compared with 50 mM pH 6.8 phosphate buffer, the dissolution medium in the USP. Metformin hydrochloride API compressed into a round 1200 mg disk showed a similar trend. When basket rotation speed was increased from 100 to 250 rpm, the dissolution of metformin hydrochloride tablets was similar in all three media. Incorporation of 2% w/w crospovidone in the tablet formulation improved the dissolution although the pH-dependent trend was still evident, but incorporation of 2% w/w croscarmellose sodium resulted in rapid pH-independent tablet dissolution. CONCLUSION In absence of a disintegrant in the tablet formulation, the dissolution was governed by the erosion-diffusion process. Even for a highly soluble drug, a super-disintegrant was needed in the formulation to overcome the diffusion layer limitation and change the dissolution mechanism from erosion-diffusion to disintegration.
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Affiliation(s)
- Divyakant Desai
- Drug Product Science and Technology , New Brunswick, NJ , USA
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26
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27
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Ben-Hander GM, Makahleh A, Saad B, Saleh MI. Hollow fiber liquid phase microextraction with in situ derivatization for the determination of trace amounts of metformin hydrochloride (anti-diabetic drug) in biological fluids. J Chromatogr B Analyt Technol Biomed Life Sci 2013; 941:123-30. [DOI: 10.1016/j.jchromb.2013.10.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2013] [Revised: 10/04/2013] [Accepted: 10/05/2013] [Indexed: 11/29/2022]
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Kostewicz ES, Aarons L, Bergstrand M, Bolger MB, Galetin A, Hatley O, Jamei M, Lloyd R, Pepin X, Rostami-Hodjegan A, Sjögren E, Tannergren C, Turner DB, Wagner C, Weitschies W, Dressman J. PBPK models for the prediction of in vivo performance of oral dosage forms. Eur J Pharm Sci 2013; 57:300-21. [PMID: 24060672 DOI: 10.1016/j.ejps.2013.09.008] [Citation(s) in RCA: 218] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2013] [Revised: 08/27/2013] [Accepted: 09/11/2013] [Indexed: 02/07/2023]
Abstract
Drug absorption from the gastrointestinal (GI) tract is a highly complex process dependent upon numerous factors including the physicochemical properties of the drug, characteristics of the formulation and interplay with the underlying physiological properties of the GI tract. The ability to accurately predict oral drug absorption during drug product development is becoming more relevant given the current challenges facing the pharmaceutical industry. Physiologically-based pharmacokinetic (PBPK) modeling provides an approach that enables the plasma concentration-time profiles to be predicted from preclinical in vitro and in vivo data and can thus provide a valuable resource to support decisions at various stages of the drug development process. Whilst there have been quite a few successes with PBPK models identifying key issues in the development of new drugs in vivo, there are still many aspects that need to be addressed in order to maximize the utility of the PBPK models to predict drug absorption, including improving our understanding of conditions in the lower small intestine and colon, taking the influence of disease on GI physiology into account and further exploring the reasons behind population variability. Importantly, there is also a need to create more appropriate in vitro models for testing dosage form performance and to streamline data input from these into the PBPK models. As part of the Oral Biopharmaceutical Tools (OrBiTo) project, this review provides a summary of the current status of PBPK models available. The current challenges in PBPK set-ups for oral drug absorption including the composition of GI luminal contents, transit and hydrodynamics, permeability and intestinal wall metabolism are discussed in detail. Further, the challenges regarding the appropriate integration of results from in vitro models, such as consideration of appropriate integration/estimation of solubility and the complexity of the in vitro release and precipitation data, are also highlighted as important steps to advancing the application of PBPK models in drug development. It is expected that the "innovative" integration of in vitro data from more appropriate in vitro models and the enhancement of the GI physiology component of PBPK models, arising from the OrBiTo project, will lead to a significant enhancement in the ability of PBPK models to successfully predict oral drug absorption and advance their role in preclinical and clinical development, as well as for regulatory applications.
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Affiliation(s)
- Edmund S Kostewicz
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt/Main, Germany.
| | - Leon Aarons
- Centre for Applied Pharmacokinetic Research, Manchester Pharmacy School, The University of Manchester, United Kingdom
| | - Martin Bergstrand
- Pharmacometrics Research Group, Department of Pharmaceutical Biosciences, Uppsala University, Sweden
| | | | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, Manchester Pharmacy School, The University of Manchester, United Kingdom
| | - Oliver Hatley
- Centre for Applied Pharmacokinetic Research, Manchester Pharmacy School, The University of Manchester, United Kingdom
| | - Masoud Jamei
- Simcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield, United Kingdom
| | - Richard Lloyd
- Department of Drug Metabolism and Pharmacokinetics, GlaxoSmithKline, Ware, Hertfordshire, United Kingdom
| | - Xavier Pepin
- Department of Biopharmaceutics, Pharmaceutical Sciences R&D, Sanofi, Vitry sur Seine Cedex, France
| | - Amin Rostami-Hodjegan
- Centre for Applied Pharmacokinetic Research, Manchester Pharmacy School, The University of Manchester, United Kingdom; Simcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield, United Kingdom
| | - Erik Sjögren
- Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - Christer Tannergren
- Medicines Evaluation CVGI, Pharmaceutical Development, AstraZeneca R&D Mölndal, Sweden
| | - David B Turner
- Simcyp Limited (a Certara Company), Blades Enterprise Centre, Sheffield, United Kingdom
| | - Christian Wagner
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt/Main, Germany
| | - Werner Weitschies
- Department of Biopharmaceutics, University of Greifswald, Greifswald, Germany
| | - Jennifer Dressman
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt/Main, Germany
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Mathias NR, Crison J. The use of modeling tools to drive efficient oral product design. AAPS J 2012; 14:591-600. [PMID: 22644702 PMCID: PMC3385810 DOI: 10.1208/s12248-012-9372-3] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2012] [Accepted: 05/10/2012] [Indexed: 11/30/2022] Open
Abstract
Modeling and simulation of drug dissolution and oral absorption has been increasingly used over the last decade to understand drug behavior in vivo based on the physicochemical properties of Active Pharmaceutical Ingredients (API) and dosage forms. As in silico and in vitro tools become more sophisticated and our knowledge of physiological processes has grown, model simulations can provide a valuable confluence, tying-in in vitro data with in vivo data while offering mechanistic insights into clinical performance. To a formulation scientist, this unveils not just the parameters that are predicted to significantly impact dissolution/absorption, but helps probe explanations around drug product performance and address specific in vivo mechanisms. In formulation, development, in silico dissolution-absorption modeling can be effectively used to guide: API selection (form comparison and particle size properties), influence clinical study design, assess dosage form performance, guide strategy for dosage form design, and breakdown clinically relevant conditions on dosage form performance (pH effect for patients on pH-elevating treatments, and food effect). This minireview describes examples of these applications in guiding product development including those with strategies to mitigate observed clinical exposure liability or mechanistically probe product in vivo performance attributes.
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Affiliation(s)
- Neil R Mathias
- Drug Product Science & Technology Department, Bristol-Myers Squibb Co, New Brunswick, New Jersey 08903, USA.
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