1
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Rahim N, Naqvi SBS. In Vitro In Vivo Extrapolation and Bioequivalence Prediction for Immediate-Release Capsules of Cefadroxil Based on a Physiologically-Based Pharmacokinetic ACAT Model. AAPS PharmSciTech 2024; 25:100. [PMID: 38714602 DOI: 10.1208/s12249-024-02811-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 04/16/2024] [Indexed: 05/10/2024] Open
Abstract
Physiologically based pharmacokinetic (PBPK) modeling is a mechanistic concept, which helps to judge the effects of biopharmceutical properties of drug product such as in vitro dissolution on its pharmacokinetic and in vivo performance. With the application of virtual bioequivalence (VBE) study, the drug product development using model-based approach can help in evaluating the possibility of extending BCS-based biowaiver. Therefore, the current study was intended to develop PBPK model as well as in vitro in vivo extrapolation (IVIVE) for BCS class III drug i.e. cefadroxil. A PBPK model was created in GastroPlus™ 9.8.3 utilizing clinical data of immediate-release cefadroxil formulations. By the examination of simulated and observed plasma drug concentration profiles, the predictability of the proposed model was assessed for the prediction errors. Furthermore, mechanistic deconvolution was used to create IVIVE, and the plasma drug concentration profiles and pharmacokinetic parameters were predicted for different virtual formulations with variable cefadroxil in vitro release. Virtual bioequivalence study was also executed to assess the bioequivalence of the generic verses the reference drug product (Duricef®). The developed PBPK model satisfactorily predicted Cmax and AUC0-t after cefadroxil single and multiple oral dose administrations, with all individual prediction errors within the limits except in a few cases. Second order polynomial correlation function obtained accurately predict in vivo drug release and plasma concentration profile of cefadroxil test and reference (Duricef®) formulation. The VBE study also proved test formulation bioequivalent to reference formulation and the statistical analysis on pharmacokinetic parameters reported 90% confidence interval for Cmax and AUC0-t in the FDA acceptable limits. The analysis found that a validated and verified PBPK model with a mechanistic background is as a suitable approach to accelerate generic drug development.
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Affiliation(s)
- Najia Rahim
- Department of Pharmacy Practice, Dow College of Pharmacy, Dow University of Health Sciences, Karachi, Pakistan.
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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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3
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Kowthavarapu VK, Charbe NB, Gupta C, Iakovleva T, Stillhart C, Parrott NJ, Schmidt S, Cristofoletti R. Mechanistic Modeling of In Vitro Biopharmaceutic Data for a Weak Acid Drug: A Pathway Towards Deriving Fundamental Parameters for Physiologically Based Biopharmaceutic Modeling. AAPS J 2024; 26:44. [PMID: 38575716 DOI: 10.1208/s12248-024-00912-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/17/2024] [Indexed: 04/06/2024] Open
Abstract
Mechanistic modeling of in vitro experiments using metabolic enzyme systems enables the extrapolation of metabolic clearance for in vitro-in vivo predictions. This is particularly important for successful clearance predictions using physiologically based pharmacokinetic (PBPK) modeling. The concept of mechanistic modeling can also be extended to biopharmaceutics, where in vitro data is used to predict the in vivo pharmacokinetic profile of the drug. This approach further allows for the identification of parameters that are critical for oral drug absorption in vivo. However, the routine use of this analysis approach has been hindered by the lack of an integrated analysis workflow. The objective of this tutorial is to (1) review processes and parameters contributing to oral drug absorption in increasing levels of complexity, (2) outline a general physiologically based biopharmaceutic modeling workflow for weak acids, and (3) illustrate the outlined concepts via an ibuprofen (i.e., a weak, poorly soluble acid) case example in order to provide practical guidance on how to integrate biopharmaceutic and physiological data to better understand oral drug absorption. In the future, we plan to explore the usefulness of this tutorial/roadmap to inform the development of PBPK models for BCS 2 weak bases, by expanding the stepwise modeling approach to accommodate more intricate scenarios, including the presence of diprotic basic compounds and acidifying agents within the formulation.
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Affiliation(s)
- Venkata Krishna Kowthavarapu
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Nitin Bharat Charbe
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Churni Gupta
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Tatiana Iakovleva
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Cordula Stillhart
- Pharmaceutical Research & Development, Formulation & Process Development, F. Hoffmann-La Roche Ltd., 4070, Basel, Switzerland
| | - Neil John Parrott
- Pharmaceutical Research & Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., 4070, Basel, Switzerland
| | - Stephan Schmidt
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA
| | - Rodrigo Cristofoletti
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics Lake Nona (Orlando), College of Pharmacy, University of Florida, 6550 Sanger Road, Office 467, Orlando, Florida, 32827, USA.
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4
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Kir F, Al-Sulaiti FK, Sahin S. Evaluation of in vitro dissolution profiles of modified-release metoprolol succinate tablets crushed using mortar and pestle technique. Eur J Pharm Sci 2024; 194:106694. [PMID: 38191064 DOI: 10.1016/j.ejps.2024.106694] [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: 05/19/2023] [Revised: 12/24/2023] [Accepted: 01/04/2024] [Indexed: 01/10/2024]
Abstract
PURPOSE Clinical practice guidelines advise against crushing modified-release dosage forms. Metoprolol succinate modified-release (MS-MR) tablets are commonly crushed in clinical practice to facilitate administration to patients with swallowing difficulties or using feeding tubes. To date, the effect of this practice remains unexplored. The in vitro effects of crushing commercially available MS-MR tablets were explored using a holistic approach. METHODS Dissolution profiles of crushed versus whole MS-MR tablets were compared. Tablets were crushed to powder state using pragmatic method mimicking hospital practices. For standardization purposes, the same operator, duration (60 seconds), hand, and mortar-pestle apparatus were used. Dissolution studies were conducted per U.S. Pharmacopeia at pH 1.2, pH 4.5, and pH 6.8 with USP apparatus 2 (paddle) at rotation speed of 50 rpm at 37±0.5 °C in 500 mL dissolution media. Samples were withdrawn at predetermined time points. Percent drug dissolved was measured by validated UV-vis Spectrophotometry. Comprehensive analysis of the dissolution data was conducted using model-independent, model-dependent, and ANOVA-based approaches (SPSS v.23 at α=0.05). Similarity (f2) and difference (f1) factors were calculated to compare the dissolution profiles between crushed (CT) and whole tablets (WT). Goodness of fit (GOF) analysis examined the compliance between in vitro dissolution behaviors and several drug release models. Model selection was based on GOF plots, Akaike criteria and adjusted coefficient of determination (R2adj). Imaging and particle size distribution analysis were conducted to examine associated surface and morphologic changes. RESULTS The dissolution profiles were not similar at pH 4.5 (f2=45.43, f1=18.97) and pH 6.8 (f2=31.47, f1=32.94). CT best fitted with Higuchi (pH 1.2: R2adj=0.9990), Weibull (pH 4.5: R2adj=0.9884), and Korsmeyer-Peppas (pH 6.8: R2adj=0.9719). Contrastingly, WT best fitted with Hopfenberg (pH 1.2: R2adj=0.9986), logistic (pH 4.5: R2adj=0.9839) and first-order (pH 6.8: R2adj=0.9979) models. A significant difference in the dissolution profiles was found between CT and WT using multivariate analysis of variance per time points and between the tablet forms (p=0.004). This was confirmed by unparalleled dissolution profiles. Crushing resulted in variations in particle size and surface morphological changes to the micropellets. CONCLUSION Crushing practices change the dissolution profile of MS-MR tablets by deforming the surface morphology of embedded micropellets. Amounts of drug dissolved between CT and WT were not the same at the compared time points across gastrointestinal pH ranges. This suggests potential clinical impact on plasma-concentration profiles of critically ill patients using feeding tube.
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Affiliation(s)
- Fatma Kir
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Hacettepe University, Ankara, Turkey
| | - Fatima K Al-Sulaiti
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Hacettepe University, Ankara, Turkey
| | - Selma Sahin
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Hacettepe University, Ankara, Turkey.
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5
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Nagpal S, Png Yi Jie J, Malinovskaya J, Kovshova T, Jain P, Naik S, Khopade A, Bhowmick S, Shahi P, Chakra A, Bhokari A, Shah V, Gelperina S, Wacker MG. A Design-Conversed Strategy Establishes the Performance Safe Space for Doxorubicin Nanosimilars. ACS NANO 2024; 18:6162-6175. [PMID: 38359902 PMCID: PMC10906076 DOI: 10.1021/acsnano.3c08290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 02/17/2024]
Abstract
Nanomedicines exhibit multifaceted performances, yet their biopharmaceutics remain poorly understood and present several challenges in the translation from preclinical to clinical research. To address this issue and promote the production of high-quality nanomedicines, a systematic screening of the design space and in vivo performance is necessary. Establishing formulation performance specifications early on enables an informed selection of candidates and promotes the development of nanosimilars. The deconvolution of the pharmacokinetics enables the identification of key characteristics that influence their performances and disposition. Using an in vitro-in vivo rank-order relationship for doxorubicin nanoformulations, we defined in vitro release specifications for Doxil/Caelyx-like follow-on products. Additionally, our model predictions were used to establish the bioequivalence of Lipodox, a nanosimilar of Doxil/Caelyx. Furthermore, a virtual safe space was established, providing crucial insights into expected disposition kinetics and informing formulation development. By addressing bottlenecks in biopharmaceutics and formulation screening, our research advances the translation of nanomedicine from bench to bedside.
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Affiliation(s)
- Shakti Nagpal
- Department
of Pharmacy and Pharmaceutical Sciences, Faculty of Science, National University of Singapore, 4 Science Drive 2, Singapore 117544, Singapore
| | - Jordan Png Yi Jie
- Department
of Pharmacy and Pharmaceutical Sciences, Faculty of Science, National University of Singapore, 4 Science Drive 2, Singapore 117544, Singapore
| | - Julia Malinovskaya
- Dmitry
Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, Moscow 125047, Russia
| | - Tatyana Kovshova
- Dmitry
Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, Moscow 125047, Russia
| | - Pankaj Jain
- Sun
Pharma Advanced Research Company Ltd., 17 B Mahal Industrial Estate, Mahakali Caves Road,
Andheri (East), Mumbai, Maharashtra 400093, India
- Sun
Pharma Advanced Research Centre (SPARC), Tandalja, Vadodara, Gujarat 390 020, India
| | - Sachin Naik
- Sun
Pharma Advanced Research Company Ltd., 17 B Mahal Industrial Estate, Mahakali Caves Road,
Andheri (East), Mumbai, Maharashtra 400093, India
- Sun
Pharma Advanced Research Centre (SPARC), Tandalja, Vadodara, Gujarat 390 020, India
| | - Ajay Khopade
- Sun
Pharma Advanced Research Company Ltd., 17 B Mahal Industrial Estate, Mahakali Caves Road,
Andheri (East), Mumbai, Maharashtra 400093, India
- Sun
Pharma Advanced Research Centre (SPARC), Tandalja, Vadodara, Gujarat 390 020, India
| | - Subhas Bhowmick
- Sun
Pharma Advanced Research Company Ltd., 17 B Mahal Industrial Estate, Mahakali Caves Road,
Andheri (East), Mumbai, Maharashtra 400093, India
- Sun
Pharma Advanced Research Centre (SPARC), Tandalja, Vadodara, Gujarat 390 020, India
| | - Pradeep Shahi
- Sun
Pharma Advanced Research Company Ltd., 17 B Mahal Industrial Estate, Mahakali Caves Road,
Andheri (East), Mumbai, Maharashtra 400093, India
- Sun
Pharma Advanced Research Centre (SPARC), Tandalja, Vadodara, Gujarat 390 020, India
| | - Amaresh Chakra
- Sun
Pharma Advanced Research Company Ltd., 17 B Mahal Industrial Estate, Mahakali Caves Road,
Andheri (East), Mumbai, Maharashtra 400093, India
- Sun
Pharma Advanced Research Centre (SPARC), Tandalja, Vadodara, Gujarat 390 020, India
| | - Ashutosh Bhokari
- Sun
Pharma Advanced Research Company Ltd., 17 B Mahal Industrial Estate, Mahakali Caves Road,
Andheri (East), Mumbai, Maharashtra 400093, India
- Sun
Pharma Advanced Research Centre (SPARC), Tandalja, Vadodara, Gujarat 390 020, India
| | - Vishal Shah
- Sun
Pharma Advanced Research Company Ltd., 17 B Mahal Industrial Estate, Mahakali Caves Road,
Andheri (East), Mumbai, Maharashtra 400093, India
- Sun
Pharma Advanced Research Centre (SPARC), Tandalja, Vadodara, Gujarat 390 020, India
| | - Svetlana Gelperina
- Dmitry
Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, Moscow 125047, Russia
| | - Matthias G. Wacker
- Department
of Pharmacy and Pharmaceutical Sciences, Faculty of Science, National University of Singapore, 4 Science Drive 2, Singapore 117544, Singapore
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6
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Jadhav H, Augustijns P, Tannergren C. Approaches to Account for Colon Absorption in Physiologically Based Biopharmaceutics Modeling of Extended-Release Drug Products. Mol Pharm 2023; 20:6272-6288. [PMID: 37902586 DOI: 10.1021/acs.molpharmaceut.3c00683] [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] [Indexed: 10/31/2023]
Abstract
The rate and extent of colon absorption are important determinants of the in vivo performance of extended-release (ER) drug products. The ability to appropriately predict this at different stages of development using mechanistic physiologically based biopharmaceutic modeling (PBBM) is highly desirable. This investigation aimed to evaluate the prediction performance of three different approaches to account for colon absorption in predictions of the in vivo performance of ER drug product variants with different in vitro release profiles. This was done by mechanistic predictions of the absorption and plasma exposure of the ER drug products using GastroPlus and GI-Sim for five drugs with different degrees of colon absorption limitations in humans. Colon absorption was accounted for in the predictions using three different approaches: (1) by an a priori approach using the default colon models, (2) by fitting the colon absorption scaling factors to the observed plasma concentration-time profiles after direct administration to the colon in humans, or (3) from the ER drug product variant with the slowest in vitro release profile. The prediction performance was evaluated based on the percentage prediction error and the average absolute prediction error (AAPE). Two levels of acceptance criteria corresponding to highly accurate (AAPE ≤ 20%) and accurate (AAPE 20-50%) predictions were defined prior to the evaluation. For the a priori approach, the relative bioavailability (Frel), AUC0-t, and Cmax of the ER drug product variants for the low to medium colon absorption limitation risk drugs was accurately predicted with an AAPE range of 11-53 and 8-59% for GastroPlus and GI-Sim, respectively. However, the prediction performance was poor for the high colon absorption limitation risk drugs. Moreover, accounting for the human regional colon absorption data in the models did not improve the prediction performance. In contrast, using the colon absorption scaling factors derived from the slowest ER variant significantly improved the prediction performance regardless of colon absorption limitation, with a majority of the predictions meeting the high accuracy criteria. For the slowest ER approach, the AAPE ranges were 5-24 and 5-32% for GastroPlus and GI-Sim, respectively, excluding the low permeability drug. In conclusion, the a priori PBBM can be used during candidate selection and early product design to predict the in vivo performance of ER drug products for low to medium colon absorption limitation risk drugs with sufficient accuracy. The results also indicate a limited value in performing human regional absorption studies in which the drug is administered to the colon as a bolus to support PBBM development for ER drug products. Instead, by performing an early streamlined relative bioavailability study with the slowest relevant ER in vitro release profile, a highly accurate PBBM suitable for ER predictions for commercial and regulatory applications can be developed, except for permeability-limited drugs.
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Affiliation(s)
- Harshad Jadhav
- Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca Gothenburg, S-431 83 Mölndal, Sweden
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, ON2 Herestraat 49, 3000 Leuven, Belgium
| | - Patrick Augustijns
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, ON2 Herestraat 49, 3000 Leuven, Belgium
| | - Christer Tannergren
- Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca Gothenburg, S-431 83 Mölndal, Sweden
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7
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Wang L, Chen J, Chen W, Ruan Z, Lou H, Yang D, Jiang B. In silico prediction of bioequivalence of atorvastatin tablets based on GastroPlus™ software. BMC Pharmacol Toxicol 2023; 24:69. [PMID: 38017512 PMCID: PMC10685666 DOI: 10.1186/s40360-023-00689-4] [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: 01/13/2023] [Accepted: 09/18/2023] [Indexed: 11/30/2023] Open
Abstract
The prediction of intestinal absorption of various drugs based on computer simulations has been a reality. However, in vivo pharmacokinetic simulations and virtual bioequivalence evaluation based on GastroPlus™ have not been found. This study aimed to simulate plasma concentrations with different dissolution profiles and run population simulations to evaluate the bioequivalence of test and reference products of atorvastation using GastroPlus software. The dissolution profiles of the reference and test products of atorvastatin (20 mg tablets), and clinical plasma concentration-time data of the reference product were used for the simulations. The results showed that the simulated models were successfully established for atorvastatin tablets. Population simulation results indicated that the test formulation was bioequivalent to the reference formulation. The findings suggest that modelling is an essential tool to demonstrating the possibility of pharmacokinetic and bioequivalence for atorvastatin. It will contribute to understanding the potential risks during the development of generic products.
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Affiliation(s)
- Lu Wang
- Center of Clinical Pharmacology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Jinliang Chen
- Center of Clinical Pharmacology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Wenjun Chen
- Center of Clinical Pharmacology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Zourong Ruan
- Center of Clinical Pharmacology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Honggang Lou
- Center of Clinical Pharmacology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Dandan Yang
- Center of Clinical Pharmacology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Bo Jiang
- Center of Clinical Pharmacology, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
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8
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Tsakalozou E, Mohamed MEF, Polak S, Heimbach T. Applications of Modeling and Simulation Approaches in Support of Drug Product Development of Oral Dosage Forms and Locally Acting Drug Products: a Symposium Summary. AAPS J 2023; 25:96. [PMID: 37783902 DOI: 10.1208/s12248-023-00862-x] [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: 07/25/2023] [Accepted: 09/16/2023] [Indexed: 10/04/2023] Open
Abstract
The number of modeling and simulation applications, including physiologically based pharmacokinetic (PBPK) models, physiologically based biopharmaceutics modeling (PBBM), and empirical models, has been constantly increasing along with the regulatory acceptance of these methodologies. While aiming at minimizing unnecessary human testing, these methodologies are used today to support the development and approval of novel drug products and generics. Modeling approaches are leveraged today for assessing drug-drug interaction, informing dose adjustments in renally or hepatically impaired patients, perform dose selection in pediatrics and pregnant women and diseased populations, and conduct biopharmaceutics-related assessments such as establish clinically relevant specifications for drug products and achieve quality assurance throughout the product life cycle. In the generics space, PBPK analyses are utilized toward virtual bioequivalence assessments within the scope of alternative bioequivalence approaches, product-specific guidance development, and food effect assessments among others. Case studies highlighting the evolving and expanding role of modeling and simulation approaches within the biopharmaceutics space were presented at the symposium titled "Model Informed Drug Development (MIDD): Role in Dose Selection, Vulnerable Populations, and Biowaivers - Chemical Entities" and Prologue "PBPK/PBBM to inform the Bioequivalence Safe Space, Food Effects, and pH-mediated DDIs" at the American Association of Pharmaceutical Scientists (AAPS) PharmSci 360 Annual Meeting in Boston, MA, on October 16-19, 2022, and are summarized here.
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Affiliation(s)
- Eleftheria Tsakalozou
- Division of Quantitative Methods and Modeling, Office of Research and Standards (ORS), Office of Generic Drugs (OGD), Center for Drug Evaluation and Research (CDER), US Food and Drug Administration (FDA), 10903 New Hampshire Avenue, Silver Spring, Maryland, USA.
| | | | - Sebastian Polak
- Certara UK, Simcyp Division, Sheffield, UK
- Jagiellonian University Medical College, Krakow, Poland
| | - Tycho Heimbach
- Pharmaceutical Sciences, MRL, Merck & Co., Inc, Rahway, New Jersey, 07065, USA
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9
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Kakhi M, Li J, Dorantes A. Regulatory Experience with Continuous Manufacturing and Real Time Release Testing for Dissolution in New Drug Applications. J Pharm Sci 2023; 112:2604-2614. [PMID: 37572781 DOI: 10.1016/j.xphs.2023.08.004] [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: 06/06/2023] [Revised: 08/07/2023] [Accepted: 08/07/2023] [Indexed: 08/14/2023]
Abstract
Regulatory submissions involving the use of continuous manufacturing (CM)1 and/or real-time release testing for dissolution (RTRT-D) to the United States Food and Drug Administration (FDA) were identified spanning several years. The submissions were for orally administered IR tablets and they were examined from a biopharmaceutics perspective to highlight commonly occurring issues which the FDA's assessment teams identified with the proposed use of CM and/or RTRT-D. The objective of this study is to provide recommendations for best practices that will help advance the field by (i) generating greater opportunities for (drug) Applicants2 to benefit from the implementation of advanced manufacturing approaches, (ii) improving high quality regulatory submissions involving CM and RTRT-D, and thus (iii) lessening the regulatory review burden. This paper has identified several common deficiencies, such as inadequate strategies for stratified sampling of drug product (DP) units, inappropriate design of experiments (DoE), inability of the proposed RTRT-D model to account for dissolution variability and to predict the entire time course of dissolution, insufficient documentation, and unsuitable in vitro dissolution methods.
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Affiliation(s)
- Maziar Kakhi
- Division of Product Quality Research, Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
| | - Jing Li
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Angelica Dorantes
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
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10
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Ahmed T, Kollipara S, Boddu R, Bhattiprolu AK. Biopharmaceutics Risk Assessment-Connecting Critical Bioavailability Attributes with In Vitro, In Vivo Properties and Physiologically Based Biopharmaceutics Modeling to Enable Generic Regulatory Submissions. AAPS J 2023; 25:77. [PMID: 37498474 DOI: 10.1208/s12248-023-00837-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/16/2023] [Indexed: 07/28/2023] Open
Abstract
Quality risk assessment following ICH Q9 principles is an important activity to ensure optimal clinical efficacy and safety of a drug product. Typically, risk assessment is focused on product performance wherein critical material attributes, formulation variables, and process parameters are evaluated from a manufacturing perspective. Extending ICH Q9 principles to biopharmaceutics risk assessment to identify factors that can impact in vivo performance is an upcoming area. This is evident by recent regulatory trends wherein a new term critical bioavailability attributes (CBA) has been coined to identify such factors. Although significant work has been performed for biopharmaceutics risk assessment for new molecules, there is a need for harmonized biopharmaceutics risk assessment workflow for generic submissions. In this manuscript, we attempted to provide a framework for performing biopharmaceutics risk assessment for generic regulatory submissions. A detailed workflow for performing biopharmaceutics risk assessment includes identification of initial CBA (iCBA), their confirmatory evaluation followed by definition of the control strategy. Tools for biopharmaceutics risk assessment, i.e., bio-discriminatory dissolution method and physiologically based biopharmaceutics modeling (PBBM) were discussed from a practical perspective. Furthermore, a case study for CBA evaluation using PBBM modeling for an extended-release product for regulatory submission has been described using the proposed workflow. Finally, future directions of integrating CBA evaluation, biopharmaceutics risk assessment to the FDA Knowledge Aided Structured Assessment (KASA) initiative, the necessity of risk assessment templates, and knowledge sharing between industry and academia are discussed. Overall, the work described in this manuscript can facilitate and provide guidance for biopharmaceutics risk assessment for generic submissions.
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Affiliation(s)
- Tausif Ahmed
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad-500 090, Telangana, Hyderabad, India.
| | - Sivacharan Kollipara
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad-500 090, Telangana, Hyderabad, India
| | - Rajkumar Boddu
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad-500 090, Telangana, Hyderabad, India
| | - Adithya Karthik Bhattiprolu
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad-500 090, Telangana, Hyderabad, India
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11
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Abend AM, Hoffelder T, Cohen MJ, Van Alstine L, Diaz DA, Fredro-Kumbaradzi E, Reynolds J, Zheng Y, Witkowski K, Heimbach T. Dissolution Profile Similarity Assessment-Best Practices, Decision Trees and Global Harmonization. AAPS J 2023; 25:44. [PMID: 37084114 DOI: 10.1208/s12248-023-00795-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/15/2023] [Indexed: 04/22/2023] Open
Abstract
During the write-up of the meeting summary reports from the 2019 dissolution similarity workshop held at the University of Maryland's Center of Excellence in Regulatory Science and Innovation (M-CERSI), several coauthors continued their discussions to develop a "best-practice" document defining the steps required to assess dissolution profiles in support of certain biowaivers and postapproval changes. In previous reports, current challenges related to dissolution profile studies were discussed such that the steps outlined in the two flow charts ("decision trees") presented here can be applied. These decision trees include both recommendations for the use of equivalence procedures between reference and test products as well as application of the dissolution safe space concept. Common approaches towards establishing dissolution safe spaces are described. This paper encourages the preparation of protocols clearly describing why and how testing is performed along with the expected pass/fail criteria prior to generating data on the materials to be evaluated. The target audience of this manuscript includes CMC regulatory scientists, laboratory analysts, as well as statisticians from industry and regulatory health agencies involved in the assessment of product quality via in vitro dissolution testing. Building upon previous publications, this manuscript provides a solution to the current ambiguity related to dissolution profile comparison. The principles outlined in this and previous manuscripts provide a basis for global regulatory alignment in the application of dissolution profile assessment to support manufacturing changes and biowaiver requests.
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Affiliation(s)
- Andreas M Abend
- Pharmaceutical Sciences and Clinical Supplies, Merck Sharp & Dohme LLC, 126 E. Lincoln Avenue, Rahway, New Jersey, 07065, USA
| | - Thomas Hoffelder
- Global Biostatistics and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Binger Straße 173, 55216, Ingelheim Am Rhein, Germany.
| | - Michael J Cohen
- Global Product Development, Chemistry Manufacturing and Controls, Pfizer Inc, Groton, Connecticut, USA
| | - Leslie Van Alstine
- Pharmaceutical Sciences and Manufacturing Statistics, Pfizer Worldwide Research & Development, Groton, Connecticut, USA
| | - Dorys Argelia Diaz
- Global Product Development, Chemistry Manufacturing and Controls, Pfizer Inc, Groton, Connecticut, USA
| | - Emilija Fredro-Kumbaradzi
- Biowaivers, Biocorrelation and Statistical Support, Global Research and Development, Apotex Inc., Toronto, Canada
| | - James Reynolds
- Data and Statistical Sciences, AbbVie Inc., North Chicago, Illinois, 60064, USA
| | - Yanbing Zheng
- Data and Statistical Sciences, AbbVie Inc., North Chicago, Illinois, 60064, USA
| | - Krista Witkowski
- Center for Mathematical Sciences, Merck & Co., Inc., Merck Manufacturing Division, Kenilworth, New Jersey, 07033, USA
| | - Tycho Heimbach
- Pharmaceutical Sciences and Clinical Supplies, Merck Sharp & Dohme LLC, 126 E. Lincoln Avenue, Rahway, New Jersey, 07065, USA
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12
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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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13
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Adhikari A, Seo PR, Polli JE. Dissolution-Hollow Fiber Membrane (D-HFM) System to Anticipate Biopharmaceutics Risk of Tablets and Capsules. J Pharm Sci 2023; 112:751-759. [PMID: 36202250 DOI: 10.1016/j.xphs.2022.09.030] [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: 07/20/2022] [Revised: 09/29/2022] [Accepted: 09/29/2022] [Indexed: 02/18/2023]
Abstract
A dissolution-hollow fiber membrane (D-HFM) system with relatively high area/volume ratio was previously characterized and showed favorably high percent drug absorption. Also, it's in vitro permeation constant (Kp.Ç.) was close to in vivo human permeation constant (kp). The objective of the current study was to predict the in vivo human absorption profile and biopharmaceutic performance of five drug products using the D-HFM system. Four immediate-release (IR) and one extended-release (ER) solid oral dosage form were subjected to the D-HFM system. Tablets and capsule dissolution were also measured using USP apparatus II. Drug solutions were also subjected to D-HFM testing. Predicted and observed absorption profiles in D-HFM system showed close agreement for each solid oral dosage form. Levy-Polli plots from D-HFM system successfully predicted the four IR products to be low biopharmaceutic risk due to permeation rate limited or mixed dissolution/permeation rate limited absorption, and successfully predicted metoprolol ER product to be high biopharmaceutic risk due to dissolution rate limited absorption. These observations showed potential of the in vitro D-HFM system to be utilized in biopharmaceutics risk assessment of in vivo tablet and capsule performance.
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Affiliation(s)
- Asmita Adhikari
- Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, MD, 21201, USA
| | - Paul R Seo
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, 20993, USA
| | - James E Polli
- Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, MD, 21201, USA.
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14
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Kourentas A, Gajewska M, Lin W, Dhareshwar SS, Steib-Lauer C, Kulkarni S, Hirsch S, Heimbach T, Mueller-Zsigmondy M. Establishing the Safe Space via Physiologically Based Biopharmaceutics Modeling. Case Study: Fevipiprant/QAW039. AAPS J 2023; 25:25. [PMID: 36788163 DOI: 10.1208/s12248-023-00787-5] [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: 11/11/2022] [Accepted: 01/20/2023] [Indexed: 02/16/2023] Open
Abstract
Physiologically based pharmacokinetic and absorption modeling has increasingly been implemented for biopharmaceutics applications to define the safe space for drug product quality attributes such as dissolution. For fevipiprant/QAW039, simulations were performed to assess the impact of in vitro dissolution on the in vivo performance of immediate-release film-coated tablets during development and scaling up to commercial scale. A fevipiprant dissolution safe space was established using observed clinical intravenous and oral PK data from bioequivalent and non-bioequivalent formulations. Quality control dissolution profiles with tablets were used as GastroPlus™ model inputs to estimate the in vivo dissolution in the gastrointestinal tract and to simulate human exposure. The model was used to evaluate the intraluminal performance of the dosage forms and to predict the absorption rate limits for the 450 mg dose. The predictive model performance was demonstrated for various oral dosage forms (150‒500 mg), including the non-bioequivalent batches in fasted healthy adults. To define the safe space at 450 mg, simulations were performed using theoretical dissolution profiles. A specification of Q = 80% dissolved in 60 min or less for an immediate-release oral solid dosage form reflected the boundaries of the safe space. The dissolution profile of the 450 mg commercial scale batch was within a dissolution region where bioequivalence is anticipated, not near an edge of failure for dissolution, providing additional confidence to the proposed acceptance criteria. Thus, the safe space allowed for a wider than 10% dissolution difference for bioequivalent batches, superseding f2 similarity analyses.
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Affiliation(s)
- Alexandros Kourentas
- Dissolution & Biopharmaceutics, Analytical Research and Development, Technical Research and Development, Novartis AG, CH-4056, Basel, Switzerland
| | - Monika Gajewska
- Pharmacokinetics Sciences, Translational Medicine, Novartis Institutes for BioMedical Research, Novartis AG, CH-4056, Basel, Switzerland
| | - Wen Lin
- Pharmacokinetics Sciences, Translational Medicine, Novartis Institutes for BioMedical Research, Novartis Pharmaceuticals Corporation, New Jersey, One Health Plaza, East Hanover, 07936, USA.,PK/PD Group, Pharmacokinetics, Dynamics and Metabolism, Sanofi, Bridgewater, NJ, USA
| | - Sundeep S Dhareshwar
- Global Program Management, Global Drug Development, Novartis Pharmaceuticals Corporation, East Hanover, NJ, 07936, USA
| | - Caroline Steib-Lauer
- Analytical Research and Development, Technical Research and Development, Novartis AG, CH-4056, Basel, Switzerland
| | - Swarupa Kulkarni
- Pharmacokinetics Sciences, Translational Medicine, Novartis Institutes for BioMedical Research, Novartis Pharmaceuticals Corporation, New Jersey, One Health Plaza, East Hanover, 07936, USA
| | - Stefan Hirsch
- Global Drug Development, Technical Portfolio and Project Management, Technical Research and Development, Novartis AG, CH-4056, Basel, Switzerland
| | - Tycho Heimbach
- Pharmacokinetics Sciences, Translational Medicine, Novartis Institutes for BioMedical Research, Novartis Pharmaceuticals Corporation, New Jersey, One Health Plaza, East Hanover, 07936, USA.,Sterile and Specialty Products, Biopharmaceutics, Merck & Co., Inc., Rahway, NJ, 07065, USA
| | - Martin Mueller-Zsigmondy
- Dissolution & Biopharmaceutics, Analytical Research and Development, Technical Research and Development, Novartis AG, CH-4056, Basel, Switzerland.
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15
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Kollipara S, Bhattiprolu AK, Boddu R, Ahmed T, Chachad S. Best Practices for Integration of Dissolution Data into Physiologically Based Biopharmaceutics Models (PBBM): A Biopharmaceutics Modeling Scientist Perspective. AAPS PharmSciTech 2023; 24:59. [PMID: 36759492 DOI: 10.1208/s12249-023-02521-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 01/24/2023] [Indexed: 02/11/2023] Open
Abstract
Dissolution is considered as a critical input into physiologically based biopharmaceutics models (PBBM) as it governs in vivo exposure. Despite many workshops, initiatives by academia, industry, and regulatory, wider practices are followed for dissolution data input into PBBM models. Due to variety of options available for dissolution data input into PBBM models, it is important to understand pros, cons, and best practices while using specific dissolution model. This present article attempts to summarize current understanding of various dissolution models and data inputs in PBBM software's and aims to discuss practical challenges and ways to overcome such scenarios. Different approaches to incorporate dissolution data for immediate, modified, and delayed release formulations are discussed in detail. Common challenges faced during fitting of z-factor are discussed along with novel approach of dissolution data incorporation using P-PSD model. Ways to incorporate dissolution data for MR formulations using Weibull and IVIVR approaches were portrayed with examples. Strategies to incorporate dissolution data for DR formulations was depicted along with practical aspects. Approaches to generate virtual dissolution profiles, using Weibull function, DDDPlus, and time scaling for defining dissolution safe space, and strategies to generate virtual dissolution profiles for justifying single and multiple dissolution specifications were discussed. Finally, novel ways to integrate dissolution data for complex products such as liposomes, data from complex dissolution systems, importance of precipitation, and bio-predictive ability of QC media for evaluation of CBA's impact were discussed. Overall, this article aims to provide an easy guide for biopharmaceutics modeling scientist to integrate dissolution data effectively into PBBM models.
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Affiliation(s)
- Sivacharan Kollipara
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad, 500 090, Telangana, India
| | - Adithya Karthik Bhattiprolu
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad, 500 090, Telangana, India
| | - Rajkumar Boddu
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad, 500 090, Telangana, India
| | - Tausif Ahmed
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad, 500 090, Telangana, India.
| | - Siddharth Chachad
- Biopharmaceutics Group, Global Clinical Management, Integrated Product Development Organization (IPDO), Dr. Reddy's Laboratories Ltd, Bachupally, Medchal Malkajgiri District, Hyderabad, 500 090, Telangana, India
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16
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Matsui K, Nakamichi K, Nakatani M, Yoshida H, Yamashita S, Yokota S. Lowly-buffered biorelevant dissolution testing is not necessarily biopredictive of human bioequivalence study outcome: Relationship between dissolution and pharmacokinetics. Int J Pharm 2023; 631:122531. [PMID: 36563795 DOI: 10.1016/j.ijpharm.2022.122531] [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: 08/16/2022] [Revised: 11/28/2022] [Accepted: 12/18/2022] [Indexed: 12/25/2022]
Abstract
It has been revealed that buffer capacity of aspirated human intraluminal fluid is much lower than that of in vitro compendial dissolution media. Since buffer capacity significantly alters the dissolution profile of certain drug products, dissolution testing in highly buffered media dictates poor predictability of in vivo drug performance. To mitigate this inconsistency, low buffer capacity medium was suggested as an in vivo representation (biorelevant dissolution testing). The purpose of this study was to characterize the dissolution profiles of enteric-coated drug products in different buffer capacity media in a flow through cell dissolution apparatus, and to evaluate the in vivo predictability of human bioequivalence study outcomes conducted in the fasted state. It was confirmed that the lower the buffer capacity of dissolution media, the higher the discriminatory power of esomeprazole magnesium hydrate enteric-coated pellets, reflecting human bioequivalence failure. In the meantime, two duloxetine hydrochloride enteric-coated pellets also exhibited distinct dissolution profiles in such a lowly buffered medium despite the fact that these two are bioequivalent in human. Biopharmaceutical and pharmacokinetic characteristics comparison suggested that low intestinal permeability and small systemic elimination rate of duloxetine hinders the clear impact of different dissolution profile on its in vivo performance. These data suggest that dissolution comparison in physiologically-relevant low buffer capacity media is not always indicative of human bioequivalence. Instead, biopharmaceutical and pharmacokinetic aspects must be taken into consideration to make biorelevant dissolution testing biopredictive.
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Affiliation(s)
- Kazuki Matsui
- Research & Development Division, Sawai Pharmaceutical Co., Ltd., Osaka 532-0003, Japan.
| | - Katsuki Nakamichi
- Research & Development Division, Sawai Pharmaceutical Co., Ltd., Osaka 532-0003, Japan
| | - Masatoshi Nakatani
- Research & Development Division, Sawai Pharmaceutical Co., Ltd., Osaka 532-0003, Japan
| | - Hiroyuki Yoshida
- Division of Drugs, National Institute of Health Sciences, Kawasaki 210-9501, Japan
| | - Shinji Yamashita
- Faculty of Pharmaceutical Sciences, Setsunan University, Osaka 573-0101, Japan
| | - Shoji Yokota
- Research & Development Division, Sawai Pharmaceutical Co., Ltd., Osaka 532-0003, Japan
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17
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Anand O, Pepin XJH, Kolhatkar V, Seo P. The Use of Physiologically Based Pharmacokinetic Analyses-in Biopharmaceutics Applications -Regulatory and Industry Perspectives. Pharm Res 2022; 39:1681-1700. [PMID: 35585448 DOI: 10.1007/s11095-022-03280-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/27/2022] [Indexed: 12/18/2022]
Abstract
The use of physiologically based pharmacokinetic (PBPK) modeling to support the drug product quality attributes, also known as physiologically based biopharmaceutics modeling (PBBM) is an evolving field and the interest in using PBBM is increasing. The US-FDA has emphasized on the use of patient centric quality standards and clinically relevant drug product specifications over the years. Establishing an in vitro in vivo link is an important step towards achieving the goal of patient centric quality standard. Such a link can aid in constructing a bioequivalence safe space and establishing clinically relevant drug product specifications. PBBM is an important tool to construct a safe space which can be used during the drug product development and lifecycle management. There are several advantages of using the PBBM approach, though there are also a few challenges, both with in vitro methods and in vivo understanding of drug absorption and disposition, that preclude using this approach and therefore further improvements are needed. In this review we have provided an overview of experience gained so far and the current perspective from regulatory and industry point of view. Collaboration between scientists from regulatory, industry and academic fields can further help to advance this field and deliver on promises that PBBM can offer towards establishing patient centric quality standards.
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Affiliation(s)
- Om Anand
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality (OPQ), Center for Drug Evaluation and Research, Food and Drug Administration (FDA), Silver Spring, Maryland, USA.
| | - Xavier J H Pepin
- New Modalities and Parenteral Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK
| | - Vidula Kolhatkar
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality (OPQ), Center for Drug Evaluation and Research, Food and Drug Administration (FDA), Silver Spring, Maryland, USA
| | - Paul Seo
- Office of Pharmaceutical Quality (OPQ), Center for Drug Evaluation and Research, Food and Drug Administration (FDA), Silver Spring, Maryland, USA
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18
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Hoffelder T, Leblond D, Van Alstine L, Diaz DA, Suarez-Sharp S, Witkowski K, Altan S, Reynolds J, Bergeron Z, Lief K, Zheng Y, Abend A. DISSOLUTION PROFILE SIMILARITY ANALYSES-STATISTICAL PRINCIPLES, METHODS AND CONSIDERATIONS. AAPS J 2022; 24:54. [PMID: 35386051 DOI: 10.1208/s12248-022-00697-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 03/05/2022] [Indexed: 11/30/2022] Open
Abstract
The pharmaceutical industry and regulatory agencies rely on dissolution similarity testing to make critical product decisions as part of drug product life cycle management. Accordingly, the application of mathematical approaches to evaluate dissolution profile similarity is described in regulatory guidance with the emphasis given to the similarity factor f2 with little discussion of alternative methods. In an effort to highlight current practices to assess dissolution profile similarity and to strive toward global harmonization, a workshop entitled "In Vitro Dissolution Similarity Assessment in Support of Drug Product Quality: What, How, When" was held on May 21-22, 2019 at the University of Maryland, Baltimore. This manuscript provides in-depth discussion of the mathematical principles of the model-independent statistical methods for dissolution profile similarity analyses presented in the workshop. Deeper understanding of the testing objective and statistical properties of the available statistical methods is essential to identify methods which are appropriate for application in practice. A decision tree is provided to aid in the selection of an appropriate statistical method based on the underlying characteristics of the drug product. Finally, the design of dissolution profile studies is addressed regarding analytical and statistical recommendations to sufficiently power the study. This includes a detailed discussion on evaluation of dissolution profile data for which several batches per reference and/or test product are available.
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Affiliation(s)
- Thomas Hoffelder
- Global Biostatistics and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Binger Straße 173, 55216, Ingelheim Am Rhein, Germany.
| | - David Leblond
- Consultant in CMC Statistical Studies, 3091 Midlane Drive, Wadsworth, IL, 60083, United States of America
| | - Leslie Van Alstine
- Pfizer Inc, Eastern Point Road, Groton, Connecticut, 06340, United States of America
| | - Dorys Argelia Diaz
- Pfizer Inc, Eastern Point Road, Groton, Connecticut, 06340, United States of America
| | - Sandra Suarez-Sharp
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States of America.,Regulatory Affairs, Simulations Plus Inc, 42505 10th Street West, Lancaster, CA, 93534, United States of America
| | - Krista Witkowski
- Center for Mathematical Sciences, Merck Manufacturing Division, Merck & Co., Inc, Kenilworth, NJ, 07033, United States of America
| | - Stan Altan
- Statistics and Decision Sciences, Manufacturing and Applied Statistics, Janssen Pharmaceutical R&D LLD, Raritan, NJ, 08869, United States of America
| | - James Reynolds
- Data and Statistical Sciences, AbbVie Inc, North Chicago, IL, 60064, United States of America
| | - Zachary Bergeron
- Agios Pharmaceuticals, 88 Sidney St., Cambridge, MA, 02143, United States of America.,Sage Therapeutics, 215 First St, Cambridge, MA, 02142, United States of America
| | - Kevin Lief
- CMC Statistics, Biostatistics, GlaxoSmithKline, David Jack Centre for R&D, Ware, SG12 0DP, Hertfordshire, UK
| | - Yanbing Zheng
- Data and Statistical Sciences, AbbVie Inc, North Chicago, IL, 60064, United States of America
| | - Andreas Abend
- Pharmaceutical Sciences, Merck & Co., Inc., 770 Sumneytown Pike, West Point, PA, 19486, United States of America
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19
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Abend AM, Zhang L, Fredro-Kumbaradzi E, Hoffelder T, Cohen MJ, Anand O, Delvadia P, Mandula H, Zhang Z, Kotzagiorgis E, Lum S, Pereira VG, Barker A, Lavrich D, Kraemer J, Sharp-Suarez S. Current Approaches for Dissolution Similarity Assessment, Requirements, and Global Expectations. AAPS J 2022; 24:50. [DOI: 10.1208/s12248-022-00691-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 02/10/2022] [Indexed: 11/30/2022] Open
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20
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Lex TR, Rodriguez JD, Zhang L, Jiang W, Gao Z. Development of In Vitro Dissolution Testing Methods to Simulate Fed Conditions for Immediate Release Solid Oral Dosage Forms. AAPS J 2022; 24:40. [PMID: 35277760 DOI: 10.1208/s12248-022-00690-5] [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: 08/20/2021] [Accepted: 02/10/2022] [Indexed: 11/30/2022] Open
Abstract
In vitro dissolution testing is widely used to mimic and predict in vivo performance of oral drug products in the gastrointestinal (GI) tract. This literature review assesses the current in vitro dissolution methodologies being employed to simulate and predict in vivo drug dissolution under fasted and fed conditions, with emphasis on immediate release (IR) solid oral dosage forms. Notable human GI physiological conditions under fasted and fed states have been reviewed and summarized. Literature results showed that dissolution media, mechanical forces, and transit times are key dissolution test parameters for simulating specific postprandial conditions. A number of biorelevant systems, including the fed stomach model (FSM), GastroDuo device, dynamic gastric model (DGM), simulated gastrointestinal tract models (TIM), and the human gastric simulator (HGS), have been developed to mimic the postprandial state of the stomach. While these models have assisted in expanding physiological relevance of in vitro dissolution tests, in general, these models lack the ability to fully replicate physiological conditions/processes. Furthermore, the translatability of in vitro data to an in vivo system remains challenging. Additionally, physiologically based pharmacokinetic (PBPK) modeling has been employed to evaluate the effect of food on drug bioavailability and bioequivalence. Here, we assess the current status of in vitro dissolution methodologies and absorption PBPK modeling approaches to identify knowledge gaps and facilitate further development of in vitro dissolution methods that factor in fasted and fed states. Prediction of in vivo drug performance under fasted and fed conditions via in vitro dissolution testing and modeling may potentially help efforts in harmonizing global regulatory recommendations regarding in vivo fasted and fed bioequivalence studies for solid oral IR products.
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Affiliation(s)
- Timothy R Lex
- Division of Complex Drug Analysis, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, Missouri, 63110, USA
| | - Jason D Rodriguez
- Division of Complex Drug Analysis, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, Missouri, 63110, USA
| | - Lei Zhang
- Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, 20993, USA
| | - Wenlei Jiang
- Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, 20993, USA.
| | - Zongming Gao
- Division of Complex Drug Analysis, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, Missouri, 63110, USA.
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21
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Mohamed MEF, Winzenborg I, Othman AA, Marroum P. Utility of Modeling and Simulation Approach to Support the Clinical Relevance of Dissolution Specifications: a Case Study from Upadacitinib Development. AAPS J 2022; 24:39. [PMID: 35230556 DOI: 10.1208/s12248-022-00681-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/15/2022] [Indexed: 01/11/2023] Open
Abstract
Dissolution specifications are often essential in assuring the quality and consistency of therapeutic benefits of drug lots released to the market as in vitro dissolution is often considered to be a surrogate for bioavailability. Despite the importance of demonstrating the clinical relevance of the dissolution specifications, it is often challenging to achieve this goal. In this case study, a modeling and simulation approach was utilized to support the clinical relevance of the dissolution specifications for upadacitinib extended-release tablets. A level A in vitro in vivo correlation was developed and utilized in predicting upadacitinib plasma exposures for formulations which correspond to the upper and lower dissolution limits. Exposure-response models for upadacitinib efficacy and safety in patients with moderate to severe rheumatoid arthritis (RA) were utilized to conduct clinical trial simulations to evaluate the efficacy and safety of formulations at the upper and lower dissolution boundaries. Each simulated clinical trial consisted of three treatment arms: (1) upadacitinib 15 mg QD using the target formulation, (2) upadacitinib 15 mg QD using a formulation at the lower dissolution boundary, and (3) upadacitinib 15 mg QD using a formulation at the upper dissolution boundary. Each simulated trial included 300 patients per arm and simulations were replicated 200 times. Results demonstrated that formulations at the lower and upper dissolution boundaries are predicted to have noninferior efficacy and comparable safety to the target 15 mg extended-release formulation. This approach was successfully utilized in demonstrating the clinical relevance of upadacitinib extended-release tablet dissolution specifications. Graphical Abstract.
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Affiliation(s)
| | - Insa Winzenborg
- Clinical Pharmacology and Pharmacometrics, AbbVie, Inc., North Chicago, IL, USA
| | - Ahmed A Othman
- Clinical Pharmacology and Pharmacometrics, AbbVie, Inc., North Chicago, IL, USA
| | - Patrick Marroum
- Clinical Pharmacology and Pharmacometrics, AbbVie, Inc., North Chicago, IL, USA
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22
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Saladi V, Kammari BR, Maruthapillai A, Mahapatra S, Chennuru R, Sajja E, Rajan ST, Mathad VT. Stable Fatty Acid Solvates of Dasatinib, a Tyrosine Kinase Inhibitor: Prediction, Process, and Physicochemical Properties. ACS OMEGA 2022; 7:7032-7044. [PMID: 35252694 PMCID: PMC8892647 DOI: 10.1021/acsomega.1c06753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/04/2022] [Indexed: 06/14/2023]
Abstract
Exploration of alternate solid forms for dasatinib, a potent oncogene tyrosine kinase inhibitor classified under Biopharmaceutics Classification System (BCS) class II drugs with low water solubility and high permeability, has been performed using COSMO-RS excess enthalpy (Hex) to increase dissolution. The theoretical prediction resulted in the potential for the formation of C6-C8 fatty acid solvates with dasatinib. A crystallization process has been identified for the preparation of the predicted solvates and successfully scaled up till the 100 g level. The fatty acid solvates are completely characterized using powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), Fourier transform infrared (FT-IR) spectroscopy, and proton nuclear magnetic resonance (1H NMR) spectroscopy. Unique powder X-ray diffraction patterns and powder indexing of C6-C8 fatty acid solvates indicate the purity of the solid phase. The red shift in the acid carbonyl stretching frequency of C6-C8 fatty acids in FT-IR spectra and the intactness of the fatty acid proton in 1H-NMR spectra provide evidence for solvate formation. The stoichiometry of active pharmaceutical ingredients (APIs) with solvent in solvates is measured using TGA and 1H-NMR spectroscopy. Dasatinib C6-C8 fatty acid solvates were found to retain their solid form under various stress and pharmaceutical processing conditions. In addition, they exhibited improved powder dissolution over dasatinib Form H1-7 by 2.2-fold. They also showed stability at 40 °C and 75% RH for 3 months. C8 fatty acid is a USFDA GRAS listed solvent, and hence may be a viable option for drug product development.
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Affiliation(s)
- Venkata
Narasayya Saladi
- Department
of Chemistry, SRM Institute of Science and
Technology, Kattankulathur, Chennai 603203, India
- Polymorph
Screening and Development Laboratory, R&D center, MSN Laboratories (P) Ltd., Hyderabad 502307, Telangana, India
| | - Bal Raju Kammari
- Polymorph
Screening and Development Laboratory, R&D center, MSN Laboratories (P) Ltd., Hyderabad 502307, Telangana, India
| | | | - Sudarshan Mahapatra
- Solid
State and Structural Chemistry Unit, Indian
Institute of Science, Bangalore 560012, India
| | - Ramanaiah Chennuru
- Department
of Chemistry, Gitam Institute of Science
and Technologies, Visakhapatnam 530045, Andhra Pradesh, India
| | - Eswaraiah Sajja
- Polymorph
Screening and Development Laboratory, R&D center, MSN Laboratories (P) Ltd., Hyderabad 502307, Telangana, India
| | - Srinivasan Thirumalai Rajan
- Polymorph
Screening and Development Laboratory, R&D center, MSN Laboratories (P) Ltd., Hyderabad 502307, Telangana, India
| | - Vijayavitthal T. Mathad
- Polymorph
Screening and Development Laboratory, R&D center, MSN Laboratories (P) Ltd., Hyderabad 502307, Telangana, India
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23
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Physiologically Based Biopharmaceutics Modeling to Demonstrate Virtual Bioequivalence and Bioequivalence Safe-space for Ribociclib which has Permeation Rate-controlled Absorption. J Pharm Sci 2021; 111:274-284. [PMID: 34678270 DOI: 10.1016/j.xphs.2021.10.017] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/14/2021] [Accepted: 10/14/2021] [Indexed: 12/16/2022]
Abstract
A physiologically based biopharmaceutics model (PBBM) was developed to support formulation development of ribociclib, an orally bioavailable selective CDK4/6 inhibitor. Ribociclib is a weak base with moderate permeability and complete in vitro dissolution under stomach pH. GastroPlus™ was used to simulate the pharmacokinetics (PK) in healthy volunteers after capsule dosing. Simulations showed rapid, complete dissolution in human stomach without intestinal precipitation and with permeation-controlled absorption. Permeability was identified as controlling the systemic exposure. PBBM predicted bioequivalence (BE) between capsule and tablet in healthy volunteers, despite non-similarity between in vitro dissolution kinetics (f2<50). BE was verified in a clinical study. Then virtual bioequivalence (VBE) simulations predicted comparable PK in cancer patients between capsule and tablet of commercial batch, which was also confirmed in a clinical study. Finally, virtual trial simulations using virtual batches with slower dissolution were used to define an in vitro BE safe-space for tablets, where BE is expected. PBBM can identify drugs with permeability-controlled absorption for which formulation optimization can focus more on manufacturability rather than dissolution. PBBM can be used to predict BE study outcomes, define clinically relevant specification and BE safe-space, superseding dissolution similarity f2 criteria.
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24
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A Bayesian population physiologically based pharmacokinetic absorption modeling approach to support generic drug development: application to bupropion hydrochloride oral dosage forms. J Pharmacokinet Pharmacodyn 2021; 48:893-908. [PMID: 34553275 DOI: 10.1007/s10928-021-09778-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 08/22/2021] [Indexed: 12/13/2022]
Abstract
We propose a Bayesian population modeling and virtual bioequivalence assessment approach to establishing dissolution specifications for oral dosage forms. A generalizable semi-physiologically based pharmacokinetic absorption model with six gut segments and liver, connected to a two-compartment model of systemic disposition for bupropion hydrochloride oral dosage forms was developed. Prior information on model parameters for gut physiology, bupropion physicochemical properties, and drug product properties were obtained from the literature. The release of bupropion hydrochloride from immediate-, sustained- and extended-release oral dosage forms was described by a Weibull function. In vitro dissolution data were used to assign priors to the in vivo release properties of the three bupropion formulations. We applied global sensitivity analysis to identify the influential parameters for plasma bupropion concentrations and calibrated them. To quantify inter- and intra-individual variability, plasma concentration profiles in healthy volunteers that received the three dosage forms, each at two doses, were used. The calibrated model was in good agreement with both in vitro dissolution and in vivo exposure data. Markov Chain Monte Carlo samples from the joint posterior parameter distribution were used to simulate virtual crossover clinical trials for each formulation with distinct drug dissolution profiles. For each trial, an allowable range of dissolution parameters ("safe space") in which bioequivalence can be anticipated was established. These findings can be used to assure consistent product performance throughout the drug product life-cycle and to support manufacturing changes. Our framework provides a comprehensive approach to support decision-making in drug product development.
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25
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Heimbach T, Kesisoglou F, Novakovic J, Tistaert C, Mueller-Zsigmondy M, Kollipara S, Ahmed T, Mitra A, Suarez-Sharp S. Establishing the Bioequivalence Safe Space for Immediate-Release Oral Dosage Forms using Physiologically Based Biopharmaceutics Modeling (PBBM): Case Studies. J Pharm Sci 2021; 110:3896-3906. [PMID: 34551349 DOI: 10.1016/j.xphs.2021.09.017] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/10/2021] [Accepted: 09/10/2021] [Indexed: 02/07/2023]
Abstract
For oral drug products, in vitro dissolution is the most used surrogate of in vivo dissolution and absorption. In the context of drug product quality, safe space is defined as the boundaries of in vitro dissolution, and relevant quality attributes, within which drug product variants are expected to be bioequivalent to each other. It would be highly desirable if the safe space could be established via a direct link between available in vitro data and in vivo pharmacokinetics. In response to the challenges with establishing in vitro-in vivo correlations (IVIVC) with traditional modeling approaches, physiologically based biopharmaceutics modeling (PBBM) has been gaining increased attention. In this manuscript we report five case studies on using PBBM to establish a safe space for BCS Class 2 and 4 across different companies, including applications in an industrial setting for both internal decision making or regulatory applications. The case studies provide an opportunity to reflect on practical vs. ideal datasets for safe space development, the methodologies for incorporating dissolution data in the model and the criteria used for model validation and application. PBBM and safe space, still represent an evolving field and more examples are needed to drive development of best practices.
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Affiliation(s)
- Tycho Heimbach
- Pharmaceutical Sciences and Clinical Supply, Merck & Co., Inc., RY80B-1403, 126 E. Lincoln Ave, Rahway 07065, NJ, USA
| | - Filippos Kesisoglou
- Pharmaceutical Sciences and Clinical Supply, Merck & Co., Inc., RY80B-1403, 126 E. Lincoln Ave, Rahway 07065, NJ, USA.
| | | | | | | | - Sivacharan Kollipara
- Biopharmaceutics Group, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integration Product Development Organization (IPDO), Medchal Malkajgiri District, Hyberadad 500090, Telangana, India
| | - Tausif Ahmed
- Biopharmaceutics Group, Global Clinical Management, Dr. Reddy's Laboratories Ltd., Integration Product Development Organization (IPDO), Medchal Malkajgiri District, Hyberadad 500090, Telangana, India
| | - Amitava Mitra
- Clinical Pharmacology and Pharmacometrics, Janssen Research and Development, Springhouse, PA, USA
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26
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In Silico Modeling and Simulation to Guide Bioequivalence Testing for Oral Drugs in a Virtual Population. Clin Pharmacokinet 2021; 60:1373-1385. [PMID: 34191255 DOI: 10.1007/s40262-021-01045-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2021] [Indexed: 12/18/2022]
Abstract
Model-informed drug discovery and development (MID3) shows great advantages in facilitating drug development. A physiologically based pharmacokinetic model is one of the powerful computational approaches of MID3, and the emerging field of virtual bioequivalence is well recognized to be the future of the physiologically based pharmacokinetic model. Based on the translational link between in vitro, in silico, and in vivo, virtual bioequivalence study can evaluate the similarity and potential difference of pharmacokinetic and clinical performance between test and reference formulations. With the aid of virtual bioequivalence study, the pivotal information of clinical trials can be provided to streamline the development for both new and generic drugs. However, a regulatory framework of virtual bioequivalence study has not reached its full maturity. Therefore, this article aims to present an overview of the current status of bioequivalence study, identify the framework of virtual bioequivalence studies for oral drugs, and also discuss the future opportunities of virtual bioequivalence in supporting the waiver and optimization of in vivo clinical trials.
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Vinarov Z, Abrahamsson B, Artursson P, Batchelor H, Berben P, Bernkop-Schnürch A, Butler J, Ceulemans J, Davies N, Dupont D, Flaten GE, Fotaki N, Griffin BT, Jannin V, Keemink J, Kesisoglou F, Koziolek M, Kuentz M, Mackie A, Meléndez-Martínez AJ, McAllister M, Müllertz A, O'Driscoll CM, Parrott N, Paszkowska J, Pavek P, Porter CJH, Reppas C, Stillhart C, Sugano K, Toader E, Valentová K, Vertzoni M, De Wildt SN, Wilson CG, Augustijns P. Current challenges and future perspectives in oral absorption research: An opinion of the UNGAP network. Adv Drug Deliv Rev 2021; 171:289-331. [PMID: 33610694 DOI: 10.1016/j.addr.2021.02.001] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 01/12/2021] [Accepted: 02/01/2021] [Indexed: 02/06/2023]
Abstract
Although oral drug delivery is the preferred administration route and has been used for centuries, modern drug discovery and development pipelines challenge conventional formulation approaches and highlight the insufficient mechanistic understanding of processes critical to oral drug absorption. This review presents the opinion of UNGAP scientists on four key themes across the oral absorption landscape: (1) specific patient populations, (2) regional differences in the gastrointestinal tract, (3) advanced formulations and (4) food-drug interactions. The differences of oral absorption in pediatric and geriatric populations, the specific issues in colonic absorption, the formulation approaches for poorly water-soluble (small molecules) and poorly permeable (peptides, RNA etc.) drugs, as well as the vast realm of food effects, are some of the topics discussed in detail. The identified controversies and gaps in the current understanding of gastrointestinal absorption-related processes are used to create a roadmap for the future of oral drug absorption research.
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Affiliation(s)
- Zahari Vinarov
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium; Department of Chemical and Pharmaceutical Engineering, Sofia University, Sofia, Bulgaria
| | - Bertil Abrahamsson
- Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Gothenburg, Sweden
| | - Per Artursson
- Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - Hannah Batchelor
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
| | - Philippe Berben
- Pharmaceutical Development, UCB Pharma SA, Braine- l'Alleud, Belgium
| | - Andreas Bernkop-Schnürch
- Department of Pharmaceutical Technology, Institute of Pharmacy, University of Innsbruck, Innsbruck, Austria
| | - James Butler
- GlaxoSmithKline Research and Development, Ware, United Kingdom
| | | | - Nigel Davies
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | | | - Gøril Eide Flaten
- Department of Pharmacy, UiT The Arctic University of Norway, Tromsø, Norway
| | - Nikoletta Fotaki
- Department of Pharmacy and Pharmacology, University of Bath, Bath, United Kingdom
| | | | | | | | | | | | - Martin Kuentz
- Institute for Pharma Technology, University of Applied Sciences and Arts Northwestern Switzerland, Basel, Switzerland
| | - Alan Mackie
- School of Food Science & Nutrition, University of Leeds, Leeds, United Kingdom
| | | | | | - Anette Müllertz
- Department of Pharmacy, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | - Petr Pavek
- Faculty of Pharmacy, Charles University, Hradec Králové, Czech Republic
| | | | - Christos Reppas
- Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Kiyohiko Sugano
- College of Pharmaceutical Sciences, Ritsumeikan University, Shiga, Japan
| | - Elena Toader
- Faculty of Medicine, University of Medicine and Pharmacy of Iasi, Romania
| | - Kateřina Valentová
- Institute of Microbiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Maria Vertzoni
- Department of Pharmacy, National and Kapodistrian University of Athens, Athens, Greece
| | - Saskia N De Wildt
- Department of Pharmacology and Toxicology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Clive G Wilson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
| | - Patrick Augustijns
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
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28
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Zhang F, Zhou Y, Wu N, Jia R, Liu A, Liu B, Zhou Z, Hu H, Han Z, Ye X, Ding Y, He Q, Wang H. In silico prediction of bioequivalence of Isosorbide Mononitrate tablets with different dissolution profiles using PBPK modeling and simulation. Eur J Pharm Sci 2020; 157:105618. [PMID: 33122011 DOI: 10.1016/j.ejps.2020.105618] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/09/2020] [Accepted: 10/19/2020] [Indexed: 11/18/2022]
Abstract
AIM The waiver of bioequivalence (BE) studies is well accepted for Biopharmaceutics Classification System (BCS) class I drugs in form of immediate-release solid oral products. This study aimed to assess whether the rapid dissolution profiles (≥85% in 30 min) was crucial to guarantee bioequivalence of isosorbide mononitrate (ISMN) and then established a clinically relevant dissolution specification (CRDS) for screening BE or non-BE batches. METHOD A physiologically based pharmacokinetic (PBPK) model was constructed by integrating clinical and non-clinical data by B2O simulator. The model was verified by an actual clinical study (NMPA registration number: CTR20191360) with 28 healthy Chinese subjects. Then a virtual BE study was simulated to evaluate the bioequivalence of 7 virtual batches of ISMN tablets with different dissolution profiles, and the CRDS was established by integrating the results. RESULT The simulated PK behavior of ISMN was comparable to the observed. Even though the batches with slower dissolution were not equivalent to a rapid dissolution profile (≥85% in 30 min), it was demonstrated these batches would exhibit the similar in vivo performance. Meanwhile, the in vitro dissolution specification time point and the percentage of drug release (75% in 45 min) proved to have clinical relevance. CONCLUSION The virtual BE simulation by integrating in vitro dissolution profiles into the PBPK model provided a powerful tool for screening formulations, contributing to gaining time and reducing costs in BE evaluations.
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Affiliation(s)
- Fan Zhang
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, Beijing 100730, China
| | - Yinping Zhou
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, Beijing 100730, China
| | - Ni Wu
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, Beijing 100730, China
| | - Ranran Jia
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, Beijing 100730, China
| | - Aijing Liu
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, Beijing 100730, China
| | - Bo Liu
- Wuhan Institute of Technology, Hubei 430205, China
| | - Zhou Zhou
- Livzon Pharmaceutical Group Inc, Guangdong 519020, China
| | - Haitang Hu
- Livzon Pharmaceutical Group Inc, Guangdong 519020, China
| | - Zhihui Han
- Livzon Pharmaceutical Group Inc, Guangdong 519020, China
| | - Xiang Ye
- Hubei Yinghan Pharmaceutical Technology Co., Ltd, Hubei 435000, China
| | - Ying Ding
- Wuxi People's Hospital of Nanjing Medical University, Jiangsu 214023, China
| | - Qing He
- Wuxi People's Hospital of Nanjing Medical University, Jiangsu 214023, China
| | - Hongyun Wang
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, Beijing 100730, China.
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Mohylyuk V, Goldoozian S, Andrews GP, Dashevskiy A. IVIVC for Extended Release Hydrophilic Matrix Tablets in Consideration of Biorelevant Mechanical Stress. Pharm Res 2020; 37:227. [PMID: 33094368 PMCID: PMC7581586 DOI: 10.1007/s11095-020-02940-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 09/28/2020] [Indexed: 12/23/2022]
Abstract
Purpose When establishing IVIVC, a special problem arises by interpretation of averaged in vivo profiles insight of considerable individual variations in term of time and number of mechanical stress events in GI-tract. The objective of the study was to investigate and forecast the effect of mechanical stress on in vivo behavior in human of hydrophilic matrix tablets. Methods Dissolution profiles for the marketed products were obtained at different conditions (stirring speed, single- or repeatable mechanical stress applied) and convoluted into C-t profiles. Vice versa, published in vivo C-t profiles of the products were deconvoluted into absorption profiles and compared with dissolution profiles by similarity factor. Results Investigated hydrophilic matrix tablets varied in term of their resistance against hydrodynamic stress or single stress during the dissolution. Different scenarios, including repeatable mechanical stress, were investigated on mostly prone Seroquel® XR 50 mg. None of the particular scenarios fits to the published in vivo C-t profile of Seroquel® XR 50 mg representing, however, the average of individual profiles related to scenarios differing by number, frequency and time of contraction stress. When different scenarios were combined in different proportions, the profiles became closer to the original in vivo profile including a burst between 4 and 5 h, probably, due to stress-events in GI-tract. Conclusion For establishing IVIVC of oral dosage forms susceptible mechanical stress, a comparison of the deconvoluted individual in vivo profiles with in vitro profiles of different dissolution scenarios can be recommended.
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Affiliation(s)
- Valentyn Mohylyuk
- Pharmaceutical Engineering Group, School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK
- College of Pharmacy, Freie Universität Berlin, Kelchstrasse 31, 12169, Berlin, Germany
| | - Seyedreza Goldoozian
- College of Pharmacy, Freie Universität Berlin, Kelchstrasse 31, 12169, Berlin, Germany
| | - Gavin P Andrews
- Pharmaceutical Engineering Group, School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK
| | - Andriy Dashevskiy
- College of Pharmacy, Freie Universität Berlin, Kelchstrasse 31, 12169, Berlin, Germany.
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30
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Jamei M, Abrahamsson B, Brown J, Bevernage J, Bolger MB, Heimbach T, Karlsson E, Kotzagiorgis E, Lindahl A, McAllister M, Mullin JM, Pepin X, Tistaert C, Turner DB, Kesisoglou F. Current status and future opportunities for incorporation of dissolution data in PBPK modeling for pharmaceutical development and regulatory applications: OrBiTo consortium commentary. Eur J Pharm Biopharm 2020; 155:55-68. [DOI: 10.1016/j.ejpb.2020.08.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 07/03/2020] [Accepted: 08/06/2020] [Indexed: 12/13/2022]
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31
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Pepin XJH, Dressman J, Parrott N, Delvadia P, Mitra A, Zhang X, Babiskin A, Kolhatkar V, Seo P, Taylor LS, Sjögren E, Butler JM, Kostewicz E, Tannergren C, Koziolek M, Kesisoglou F, Dallmann A, Zhao Y, Suarez-Sharp S. In Vitro Biopredictive Methods: A Workshop Summary Report. J Pharm Sci 2020; 110:567-583. [PMID: 32956678 DOI: 10.1016/j.xphs.2020.09.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/14/2020] [Accepted: 09/14/2020] [Indexed: 12/23/2022]
Abstract
This workshop report summarizes the proceedings of Day 1 of a three-day workshop on "Current State and Future Expectations of Translational Modeling Strategies to Support Drug Product Development, Manufacturing Changes and Controls". Physiologically based biopharmaceutics models (PBBM) are tools which enable the drug product quality attributes to be linked to the in vivo performance. These tools rely on key quality inputs in order to provide reliable predictions. After introducing the objectives of the workshop and the expectations from the breakout sessions, Day 1 of the workshop focused on the best practices and challenges in measuring in vitro inputs needed for modeling, such as the drug solubility, the dissolution rate of the drug product, potential precipitation of the drug and drug permeability. This paper reports the podium presentations and summarizes breakout session discussions related to A) the best strategies for determining solubility, supersaturation and critical supersaturation; B) the best strategies for the development of biopredictive (clinically relevant) dissolution methods; C) the challenges associated with describing gastro-intestinal systems parameters such as mucus, liquid volume and motility; and D) the challenges with translating biopharmaceutical measures of drug permeability along the gastrointestinal tract to a meaningful model parameter.
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Affiliation(s)
- Xavier J H Pepin
- New Modalities and Parenteral Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK.
| | - Jennifer Dressman
- Fraunhofer Institute for Molecular Biology and Applied Ecology and Goethe University, Frankfurt, Germany
| | - Neil Parrott
- Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, CH-4070, Basel, Switzerland
| | - Poonam Delvadia
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Amitava Mitra
- Clinical Pharmacology and Pharmacometrics, Janssen Research & Development, Spring House, PA, USA
| | - Xinyuan Zhang
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Andrew Babiskin
- 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, MD, USA
| | - Vidula Kolhatkar
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Paul Seo
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Lynne S Taylor
- Purdue University, College of Pharmacy, West Lafayette, IN, USA
| | | | - James M Butler
- Biopharmaceutics, Drug Product Design & Dev, GlaxoSmithKline R&D, Ware, UK
| | - Edmund Kostewicz
- Institute of Pharmaceutical Technology, Goethe University, Frankfurt, Germany
| | - Christer Tannergren
- Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Gothenburg, Sweden
| | - Mirko Koziolek
- University of Greifswald, Institute of Pharmacy, Greifswald, Germany; Current: NCE Formulation Sciences, AbbVie Deutschland GmbH & Co. KG, Ludwigshafen, Germany
| | | | - André Dallmann
- Clinical Pharmacometrics, Research & Development, Pharmaceuticals, Bayer AG, Leverkusen, Germany
| | - Yang Zhao
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Sandra Suarez-Sharp
- Regulatory Affairs, Simulations Plus Inc., 42505 10th Street West, Lancaster, CA 93534, USA
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Yoshida H, Abe Y, Tomita N, Izutsu KI. Utilization of Diluted Compendial Media as Dissolution Test Solutions with Low Buffer Capacity for the Investigation of Dissolution Rate of Highly Soluble Immediate Release Drug Products. Chem Pharm Bull (Tokyo) 2020; 68:664-670. [PMID: 32612001 DOI: 10.1248/cpb.c20-00247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Research from the past decade has shown that the buffer capacities of intestinal fluids are much lower than those in the media used for dissolution test of many solid formulations. The purpose of this study was to elucidate the effect of buffer capacity on the dissolution profiles of highly soluble drug products, using metoclopramide (a biopharmaceutics classification system [BCS] class III drug) tablets as a model. The dissolution profiles of three metoclopramide products were obtained in Japanese pharmacopeia dissolution medium (pH 1.2 and 6.8), diluted medium with low buffer capacity comparable to that of gastrointestinal fluid, and other biorelevant media. One product showed slower dissolution in the medium with lower buffer capacity (bio-relevant, diluted compendial solution), but substantially similar dissolution in the compendial test solutions. Disintegration difference was implied to be involved in the different dissolution profiles depending on the medium buffer capacity. This study indicated the importance of media buffer capacity as a factor inducing different dissolution between products of highly soluble active pharmaceutical ingredients. The diluted compendial media would be a useful alternative to biorelevant media for the detection of the different formulation performances depending on the buffer capacities.
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Affiliation(s)
| | - Yasuhiro Abe
- Division of Drugs, National Institute of Health Sciences
| | - Naomi Tomita
- Division of Drugs, National Institute of Health Sciences
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Bermejo M, Meulman J, Davanço MG, Carvalho PDO, Gonzalez-Alvarez I, Campos DR. In Vivo Predictive Dissolution (IPD) for Carbamazepine Formulations: Additional Evidence Regarding a Biopredictive Dissolution Medium. Pharmaceutics 2020; 12:pharmaceutics12060558. [PMID: 32560369 PMCID: PMC7355855 DOI: 10.3390/pharmaceutics12060558] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/01/2020] [Accepted: 06/10/2020] [Indexed: 11/23/2022] Open
Abstract
The aim of the present study was to bring additional evidence regarding a biopredictive dissolution medium containing 1% sodium lauryl sulphate (SLS) to predict the in vivo behavior of carbamazepine (CBZ) products. Twelve healthy volunteers took one immediate release (IR) dose of either test and reference formulations in a bioequivalence study (BE). Dissolution profiles were carried-out using the medium. Level A in vitro–in vivo correlations (IVIVC) were established using both one-step and two-step approaches as well as exploring the time-scaling approach to account for the differences in dissolution rate in vitro versus in vivo. A detailed step by step calculation was provided to clearly illustrate all the procedures. The results show additional evidence that the medium containing 1% SLS can be classified as a universal biopredictive dissolution tool, and that both of the approaches used to develop the IVIVC (one and two-steps) provide good in vivo predictability. Therefore, this biopredictive medium could be a highly relevant tool in Latin-American countries to ensure and check the quality of their CBZ marketed products for which BE studies were not requested by their regulatory health authorities.
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Affiliation(s)
- Marival Bermejo
- Department of Engineering, Pharmacy and Pharmaceutical Technology Area, Facultad de Farmacia, University Miguel Hernandez de Elche, San Juan de Alicante, 03550 Alicante, Spain;
| | - Jessica Meulman
- Faculty of Pharmaceutical Sciences, University of Campinas—UNICAMP, Campinas, 13083-871 São Paulo, Brazil;
| | - Marcelo Gomes Davanço
- Postgraduate Program in Health Sciences, Universidade São Francisco, Bragança Paulista, 12916-900 São Paulo, Brazil; (M.G.D.); (P.d.O.C.); (D.R.C.)
| | - Patricia de Oliveira Carvalho
- Postgraduate Program in Health Sciences, Universidade São Francisco, Bragança Paulista, 12916-900 São Paulo, Brazil; (M.G.D.); (P.d.O.C.); (D.R.C.)
| | - Isabel Gonzalez-Alvarez
- Department of Engineering, Pharmacy and Pharmaceutical Technology Area, Facultad de Farmacia, University Miguel Hernandez de Elche, San Juan de Alicante, 03550 Alicante, Spain;
- Correspondence:
| | - Daniel Rossi Campos
- Postgraduate Program in Health Sciences, Universidade São Francisco, Bragança Paulista, 12916-900 São Paulo, Brazil; (M.G.D.); (P.d.O.C.); (D.R.C.)
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Parrott N, Stillhart C, Lindenberg M, Wagner B, Kowalski K, Guerini E, Djebli N, Meneses-Lorente G. Physiologically Based Absorption Modelling to Explore the Impact of Food and Gastric pH Changes on the Pharmacokinetics of Entrectinib. AAPS JOURNAL 2020; 22:78. [PMID: 32458089 DOI: 10.1208/s12248-020-00463-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 04/29/2020] [Indexed: 02/07/2023]
Abstract
Entrectinib is a potent and selective tyrosine kinase inhibitor (TKI) of TRKA/B/C, ROS1, and ALK with both systemic and CNS activities, which has recently received FDA approval for ROS1 fusion-positive non-small cell lung cancer and NTRK fusion-positive solid tumors. This paper describes the application of a physiologically based biophamaceutics modeling (PBBM) during clinical development to understand the impact of food and gastric pH changes on absorption of this lipophilic, basic, molecule with reasonable permeability but strongly pH-dependent solubility. GastroPlus™ was used to develop a physiologically based pharmacokinetics (PBPK) model integrating in vitro and in silico data and dissolution studies and in silico modelling in DDDPlus™ were used to understand the role of self-buffering and acidulant on formulation performance. Models were verified by comparison of simulated pharmacokinetics for acidulant and non-acidulant containing formulations to clinical data from a food effect study and relative bioavailability studies with and without the gastric acid-reducing agent lansoprazole. A negligible food effect and minor pH-dependent drug-drug interaction for the market formulation were predicted based on biorelevant in vitro measurements, dissolution studies, and in silico modelling and were confirmed in clinical studies. These outcomes were explained as due to the acidulant counteracting entrectinib self-buffering and greatly reducing the effect of gastric pH changes. Finally, sensitivity analyses with the verified model were applied to support drug product quality. PBBM has great potential to streamline late-stage drug development and may have impact on regulatory questions.
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Affiliation(s)
- Neil Parrott
- Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070, Basel, Switzerland.
| | - Cordula Stillhart
- Pharmaceutical Research & Development, Formulation & Process Sciences, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Marc Lindenberg
- Pharmaceutical Research & Development, Analytical, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Bjoern Wagner
- Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070, Basel, Switzerland
| | | | - Elena Guerini
- Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Nassim Djebli
- Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Georgina Meneses-Lorente
- Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070, Basel, Switzerland
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Suarez-Sharp S, Abend A, Hoffelder T, Leblond D, Delvadia P, Kovacs E, Diaz DA. In Vitro Dissolution Profiles Similarity Assessment in Support of Drug Product Quality: What, How, When-Workshop Summary Report. AAPS JOURNAL 2020; 22:74. [PMID: 32430592 DOI: 10.1208/s12248-020-00458-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 04/08/2020] [Indexed: 11/30/2022]
Abstract
The pharmaceutical industry and regulatory agencies rely on dissolution similarity testing to make critical product performance decisions as part of drug product life cycle management. Accordingly, the application of mathematical approaches to evaluate dissolution profile similarity is described in regulatory guidance. However, the requirements (e.g., which time points, number of time points, %CV) to apply the widely known similarity factor f2 and other alternative statistical approaches diverge noticeably across regulatory agencies. In an effort to highlight current practices to assess dissolution profile similarity and to strive towards global harmonization, a workshop entitled "in vitro dissolution similarity assessment in support of drug product quality: what, how, when" was held May 21-22, 2019, at the University of Maryland, Baltimore. This article summarizes key points from the podium presentations and breakout (BO) sessions focusing on (1) contrasting the advantages and disadvantages of several statistical methods; (2) the importance of experimental design for successful similarity evaluation; (3) the value of similarity evaluation in light of clinically relevant specifications; and (4) the need for creating a robust and scientifically appropriate path (e.g., non-prescriptive decision tree) for dissolution profile similarity assessment as a stepping stone for global harmonization.
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Affiliation(s)
- Sandra Suarez-Sharp
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, 20993, USA.,Regulatory affairs, Simulations Plus Inc, 42505 10th Street West, Lancaster, California, 93534, USA
| | - Andreas Abend
- Pharmaceutical Sciences, Merck & Co Inc, 770 Sumneytown Pike, West Point, Pennsylvania, 19486, USA
| | - Thomas Hoffelder
- Global Biostatistics and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Binger Straße 173, 55216, Ingelheim am Rhein, Germany
| | - David Leblond
- CMC Statistical Studies, 3091 Midlane Drive, Wadsworth, Illinois, 60083, USA
| | - Poonam Delvadia
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, 20993, USA
| | - Elisabeth Kovacs
- Analytical R&D/Biopharmaceutics/Product Development and Life Cycle Management, EK Consulting 6 Reditt Crt, Richmond Hill, Ontario, L4C 7S4, Canada
| | - Dorys Argelia Diaz
- Global Product Development, Pfizer Inc, Eastern Point Road, Groton, Connecticut, 06340, USA.
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Suarez-Sharp S, Lindahl A, Heimbach T, Rostami-Hodjegan A, Bolger MB, Ray Chaudhuri S, Hens B. Translational Modeling Strategies for Orally Administered Drug Products: Academic, Industrial and Regulatory Perspectives. Pharm Res 2020; 37:95. [DOI: 10.1007/s11095-020-02814-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 04/02/2020] [Indexed: 12/12/2022]
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Pepin XJH, Parrott N, Dressman J, Delvadia P, Mitra A, Zhang X, Babiskin A, Kolhatkar V, Suarez-Sharp S. Current State and Future Expectations of Translational Modeling Strategies to Support Drug Product Development, Manufacturing Changes and Controls: A Workshop Summary Report. J Pharm Sci 2020; 110:555-566. [PMID: 32380182 DOI: 10.1016/j.xphs.2020.04.021] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/26/2020] [Accepted: 04/27/2020] [Indexed: 12/18/2022]
Abstract
The implementation of clinically relevant drug product specifications (CRDPS) depends on establishing a link between in vitro performance and in vivo exposure. The scientific community, including regulatory agencies, relies on biopharmaceutics tools on the in vitro performance side, while to enable the link to in vivo exposure, physiologically based pharmacokinetic (PBPK) modeling offers much promise. However, when it comes to PBPK applications in support of CRDPS, otherwise called physiologically based biopharmaceutics models (PBBM), the tools are not yet at the desired level. Currently, it is not possible to integrate detailed variations in chemistry, manufacturing and controls (CMC) attributes and parameters into these models in a way that can consistently predict their effect on local and systemic drug exposure. Specifically, to achieve the desired level, there is a need to advance the science and policy of PBBM. This manuscript summarizes the proceedings of a three-day workshop where the following themes were discussed: 1) Challenges in the development and implementation of in vitro biopredictive tools needed for successful mechanistic modeling; 2) Best practices in model development, verification and validation; and 3) Appropriate terminology (e.g., PBBM vs. PBPK models for biopharmaceutics applications) and applications of PBBM in support of drug product quality.
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Affiliation(s)
- Xavier J H Pepin
- New Modalities and Parenteral Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK
| | - Neil Parrott
- Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | | | - Poonam Delvadia
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Amitava Mitra
- Clinical Development, Sandoz Inc (A Novartis Division), Princeton, NJ, USA
| | - Xinyuan Zhang
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Andrew Babiskin
- 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, MD, USA
| | - Vidula Kolhatkar
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Sandra Suarez-Sharp
- Division of Biopharmaceutics, Office of New Drug Products, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
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Loisios-Konstantinidis I, Cristofoletti R, Fotaki N, Turner DB, Dressman J. Establishing virtual bioequivalence and clinically relevant specifications using in vitro biorelevant dissolution testing and physiologically-based population pharmacokinetic modeling. case example: Naproxen. Eur J Pharm Sci 2020; 143:105170. [DOI: 10.1016/j.ejps.2019.105170] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/25/2019] [Accepted: 11/26/2019] [Indexed: 01/19/2023]
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Bermejo M, Hens B, Dickens J, Mudie D, Paixão P, Tsume Y, Shedden K, Amidon GL. A Mechanistic Physiologically-Based Biopharmaceutics Modeling (PBBM) Approach to Assess the In Vivo Performance of an Orally Administered Drug Product: From IVIVC to IVIVP. Pharmaceutics 2020; 12:pharmaceutics12010074. [PMID: 31963448 PMCID: PMC7023481 DOI: 10.3390/pharmaceutics12010074] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 01/09/2020] [Accepted: 01/15/2020] [Indexed: 12/25/2022] Open
Abstract
The application of in silico modeling to predict the in vivo outcome of an oral drug product is gaining a lot of interest. Fully relying on these models as a surrogate tool requires continuous optimization and validation. To do so, intraluminal and systemic data are desirable to judge the predicted outcomes. The aim of this study was to predict the systemic concentrations of ibuprofen after oral administration of an 800 mg immediate-release (IR) tablet to healthy subjects in fasted-state conditions. A mechanistic oral absorption model coupled with a two-compartmental pharmacokinetic (PK) model was built in Phoenix WinNonlinWinNonlin® software and in the GastroPlus™ simulator. It should be noted that all simulations were performed in an ideal framework as we were in possession of a plethora of in vivo data (e.g., motility, pH, luminal and systemic concentrations) in order to evaluate and optimize these models. All this work refers to the fact that important, yet crucial, gastrointestinal (GI) variables should be integrated into biopredictive dissolution testing (low buffer capacity media, considering phosphate versus bicarbonate buffer, hydrodynamics) to account for a valuable input for physiologically-based pharmacokinetic (PBPK) platform programs. While simulations can be performed and mechanistic insights can be gained from such simulations from current software, we need to move from correlations to predictions (IVIVC → IVIVP) and, moreover, we need to further determine the dynamics of the GI variables controlling the dosage form transit, disintegration, dissolution, absorption and metabolism along the human GI tract. Establishing the link between biopredictive in vitro dissolution testing and mechanistic oral absorption modeling (i.e., physiologically-based biopharmaceutics modeling (PBBM)) creates an opportunity to potentially request biowaivers in the near future for orally administered drug products, regardless of its classification according to the Biopharmaceutics Classification System (BCS).
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Affiliation(s)
- Marival Bermejo
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109-1065, USA; (M.B.); (B.H.); (D.M.); (P.P.); (Y.T.)
- Department of Engineering, Pharmacy Section, Miguel Hernandez University, San Juan de Alicante, 03550 Alicante, Spain
| | - Bart Hens
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109-1065, USA; (M.B.); (B.H.); (D.M.); (P.P.); (Y.T.)
- Department of Pharmaceutical & Pharmacological Sciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Joseph Dickens
- Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA; (J.D.); (K.S.)
| | - Deanna Mudie
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109-1065, USA; (M.B.); (B.H.); (D.M.); (P.P.); (Y.T.)
- Global Research and Development, Lonza, Bend, OR 97703, USA
| | - Paulo Paixão
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109-1065, USA; (M.B.); (B.H.); (D.M.); (P.P.); (Y.T.)
- Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Avenida Professor Gama Pinto, 1649-003 Lisboa, Portugal
| | - Yasuhiro Tsume
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109-1065, USA; (M.B.); (B.H.); (D.M.); (P.P.); (Y.T.)
- Merck & Co., Inc., 126 E Lincoln Ave, Rahway, NJ 07065, USA
| | - Kerby Shedden
- Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA; (J.D.); (K.S.)
| | - Gordon L. Amidon
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109-1065, USA; (M.B.); (B.H.); (D.M.); (P.P.); (Y.T.)
- Correspondence: ; Tel.: +1-734-764-2464.; Fax: +1-734-764-6282
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Developing Clinically Relevant Dissolution Specifications for Oral Drug Products-Industrial and Regulatory Perspectives. Pharmaceutics 2019; 12:pharmaceutics12010019. [PMID: 31878006 PMCID: PMC7022466 DOI: 10.3390/pharmaceutics12010019] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 12/12/2019] [Indexed: 12/02/2022] Open
Abstract
A meeting that was organized by the Academy of Pharmaceutical Sciences Biopharmaceutics and Regulatory Sciences focus groups focused on the challenges of Developing Clinically Relevant Dissolution Specifications (CRDS) for Oral Drug Products. Industrial Scientists that were involved in product development shared their experiences with in vitro dissolution and in silico modeling approaches to establish clinically relevant dissolution specifications. The regulators shared their perspectives on the acceptability of these different strategies for the development of acceptable specifications. The meeting also reviewed several collaborative initiatives that were relevant to regulatory biopharmaceutics. Following the scientific presentations, a roundtable session provided an opportunity for delegates to discuss the information that was shared during the presentations, debate key questions, and propose strategies to make progress in this critical area of regulatory biopharmaceutics. It was evident from the presentations and subsequent discussions that progress continues to be made with approaches to establish robust CRDS. Further dialogue between industry and regulatory agencies greatly assisted future developments and key areas for focused discussions on CRDS were identified.
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Abend A, Xiong L, Zhang X, Frankenfeld C, Kesisoglou F, Reuter K, Kotwal P. Biowaiver Applications in Support of a Polymorph During Late-Stage Clinical Development of Verubecestat-Current Challenges and Future Opportunities for Global Regulatory Alignment. AAPS J 2019; 22:17. [PMID: 31863289 DOI: 10.1208/s12248-019-0396-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Accepted: 10/23/2019] [Indexed: 11/30/2022] Open
Abstract
Dissolution experiments to support an active pharmaceutical ingredient (API) form change in Verubecestat immediate release tablets were performed following current regulatory guidance published by health authorities in Canada, Australia, Japan, the EU, and the USA. Verubecestat API meets the requirements of a Biopharmaceutics Classification System class 1 compound and tablets are very rapidly dissolving in aqueous dissolution media. While the in vitro data were reviewed favorably by these agencies, the divergence in regulatory requirements led to unnecessary work and highlights several issues companies operating globally face to justify product changes that have very little impact on quality. The data presented in this manuscript provide a compelling case for adjustments to the current draft ICH M9 guidance which provides recommendations for biowaiver applications. Specifically, this manuscript contains recommendations with respect to API attributes, selection of dissolution media and apparatus, and methods to assess dissolution similarity if needed, which should be considered for inclusion in a science- and risk-based global guidance document to benefit patients, regulators, and the pharmaceutical industry.
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Affiliation(s)
- Andreas Abend
- Pharmaceutical Sciences, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA.
| | - Leah Xiong
- Pharmaceutical Sciences, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Xiaohua Zhang
- Analytical Commercialization Technology, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Celeste Frankenfeld
- Regulatory Affairs-CMC, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Filippos Kesisoglou
- Pharmaceutical Sciences, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Kevin Reuter
- Pharmaceutical Sciences, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
| | - Pramod Kotwal
- Regulatory Affairs-CMC, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, USA
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Jereb R, Opara J, Legen I, Petek B, Grabnar-Peklar D. In vitro-In vivo Relationship and Bioequivalence Prediction for Modified-Release Capsules Based on a PBPK Absorption Model. AAPS PharmSciTech 2019; 21:18. [PMID: 31820131 DOI: 10.1208/s12249-019-1566-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 10/09/2019] [Indexed: 11/30/2022] Open
Abstract
A physiologically based pharmacokinetic (PBPK) absorption model was developed in GastroPlus™ based on data on intravenous, immediate-release (IR), and modified-release (MR) drug products. The predictability of the model was evaluated by comparing predicted and observed plasma concentration profiles; average prediction errors (PE) were below 10%. IVIVR was developed using mechanistic deconvolution for a MR drug product to evaluate the in vivo effect of a proposed change in dissolution specification. The predictability of the IVIVR was evaluated and PE were below 10%; however, external validation was not possible due to the lack of data. The developed PBPK absorption model and IVIVR were used to predict plasma concentration profiles and pharmacokinetic (PK) parameters for a hypothetical formulation with 0% of drug dissolved in 2 h in in vitro dissolution test. Both methods predicted the insignificant effect of a change in in vitro dissolution profile on in vivo product performance. The bioequivalence of a hypothetical formulation to the test product was evaluated using virtual clinical trial. The performed analysis supported the proposed change in dissolution specification. A validated PBPK absorption model was proposed as an adequate alternative to IVIVC, when IVIVC could not have been developed according to the guidelines.
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Li Y, Meng Q, Yang M, Liu D, Hou X, Tang L, Wang X, Lyu Y, Chen X, Liu K, Yu AM, Zuo Z, Bi H. Current trends in drug metabolism and pharmacokinetics. Acta Pharm Sin B 2019; 9:1113-1144. [PMID: 31867160 PMCID: PMC6900561 DOI: 10.1016/j.apsb.2019.10.001] [Citation(s) in RCA: 114] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 08/23/2019] [Accepted: 09/09/2019] [Indexed: 12/15/2022] Open
Abstract
Pharmacokinetics (PK) is the study of the absorption, distribution, metabolism, and excretion (ADME) processes of a drug. Understanding PK properties is essential for drug development and precision medication. In this review we provided an overview of recent research on PK with focus on the following aspects: (1) an update on drug-metabolizing enzymes and transporters in the determination of PK, as well as advances in xenobiotic receptors and noncoding RNAs (ncRNAs) in the modulation of PK, providing new understanding of the transcriptional and posttranscriptional regulatory mechanisms that result in inter-individual variations in pharmacotherapy; (2) current status and trends in assessing drug-drug interactions, especially interactions between drugs and herbs, between drugs and therapeutic biologics, and microbiota-mediated interactions; (3) advances in understanding the effects of diseases on PK, particularly changes in metabolizing enzymes and transporters with disease progression; (4) trends in mathematical modeling including physiologically-based PK modeling and novel animal models such as CRISPR/Cas9-based animal models for DMPK studies; (5) emerging non-classical xenobiotic metabolic pathways and the involvement of novel metabolic enzymes, especially non-P450s. Existing challenges and perspectives on future directions are discussed, and may stimulate the development of new research models, technologies, and strategies towards the development of better drugs and improved clinical practice.
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Affiliation(s)
- Yuhua Li
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510275, China
- The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Qiang Meng
- College of Pharmacy, Dalian Medical University, Dalian 116044, China
| | - Mengbi Yang
- School of Pharmacy, the Chinese University of Hong Kong, Hong Kong, China
| | - Dongyang Liu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing 100191, China
| | - Xiangyu Hou
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Lan Tang
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Xin Wang
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Yuanfeng Lyu
- School of Pharmacy, the Chinese University of Hong Kong, Hong Kong, China
| | - Xiaoyan Chen
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Kexin Liu
- College of Pharmacy, Dalian Medical University, Dalian 116044, China
| | - Ai-Ming Yu
- UC Davis School of Medicine, Sacramento, CA 95817, USA
| | - Zhong Zuo
- School of Pharmacy, the Chinese University of Hong Kong, Hong Kong, China
| | - Huichang Bi
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510275, China
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In vitro release testing methods for drug-releasing vaginal rings. J Control Release 2019; 313:54-69. [PMID: 31626862 DOI: 10.1016/j.jconrel.2019.10.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 10/05/2019] [Accepted: 10/08/2019] [Indexed: 12/28/2022]
Abstract
Drug-releasing vaginal rings are torus-shaped devices, generally fabricated from thermoplastic polymers or silicone elastomers, used to administer pharmaceutical drugs to the human vagina for periods typically ranging from three weeks to twelve months. One of the most important product performance tests for vaginal rings is the in vitro release test. Although it has been fifty years since a vaginal ring device was first described in the scientific literature, and despite seven drug-releasing vaginal rings having been approved for market, there is no universally accepted method for testing in vitro drug release, and only one non-compendial shaking incubator method (for the estradiol-releasing ring Estring®) is described in the US Food and Drug Administration's Dissolution Methods Database. Here, for the first time, we critically review the diverse range of test methods that have been described in the scientific literature for testing in vitro release of drug-releasing vaginal rings. Issues around in vitro-in vivo correlation and modelling of in vitro release data are also discussed.
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Njoku JO, Amaral Silva D, Mukherjee D, Webster GK, Löbenberg R. In silico Tools at Early Stage of Pharmaceutical Development: Data Needs and Software Capabilities. AAPS PharmSciTech 2019; 20:243. [PMID: 31264126 DOI: 10.1208/s12249-019-1461-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 06/18/2019] [Indexed: 01/17/2023] Open
Abstract
In early drug development, the selection of a formulation platform and decisions on formulation strategies have to be made within a short timeframe and often with minimal use of the active pharmaceutical ingredient (API). The current work evaluated the various physicochemical parameters required to improve the prediction accuracy of simulation software for immediate release tablets in early drug development. DDDPlus™ was used in simulating dissolution test profiles of immediate release tablets of ritonavir and all simulations were compared with experimental results. The minimum data requirements to make useful predictions were assessed using the ADMET predictor (part of DDDPlus) and Chemicalize (an online resource). A surfactant model was developed to estimate the solubility enhancement in media containing surfactant and the software's transfer model based on the USP two-tiered dissolution test was assessed. One measured data point was shown to be sufficient to make predictive simulations in DDDPlus. At pH 2.0, the software overestimated drug release while at pH 1.0 and 6.8, simulations were close to the measured values. A surfactant solubility model established with measured data gave good dissolution predictions. The transfer model uses a single-vessel model and was unable to predict the two in vivo environments separately. For weak bases like ritonavir, a minimum of three solubility data points is recommended for in silico predictions in buffered media. A surfactant solubility model is useful when predicting dissolution behavior in surfactant media and in silico predictions need measured solubility data to be predictive.
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Heimbach T, Suarez-Sharp S, Kakhi M, Holmstock N, Olivares-Morales A, Pepin X, Sjögren E, Tsakalozou E, Seo P, Li M, Zhang X, Lin HP, Montague T, Mitra A, Morris D, Patel N, Kesisoglou F. Dissolution and Translational Modeling Strategies Toward Establishing an In Vitro-In Vivo Link—a Workshop Summary Report. AAPS JOURNAL 2019; 21:29. [DOI: 10.1208/s12248-019-0298-x] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 01/12/2019] [Indexed: 11/30/2022]
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Abend A, Curran D, Kuiper J, Lu X, Li H, Hermans A, Kotwal P, Diaz DA, Cohen MJ, Zhang L, Stippler E, Drazer G, Lin Y, Raines K, Yu L, Coutant CA, Grady H, Krämer J, Pope-Miksinski S, Suarez-Sharp S. Dissolution Testing in Drug Product Development: Workshop Summary Report. AAPS JOURNAL 2019; 21:21. [DOI: 10.1208/s12248-018-0288-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 12/18/2018] [Indexed: 11/30/2022]
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