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Zhu X, Guo L, Zhang L, Xu Y. Physiologically Based Pharmacokinetic Modeling of Lacosamide in Patients With Hepatic and Renal Impairment and Pediatric Populations to Support Pediatric Dosing Optimization. Clin Ther 2024; 46:258-266. [PMID: 38369451 DOI: 10.1016/j.clinthera.2024.01.008] [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: 09/27/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/20/2024]
Abstract
PURPOSE Lacosamide (LCM) is a new-generation anti-seizure medication that is efficacious in patients with focal seizures with or without secondary generalization. Until now, the efficacy, safety, and tolerability of LCM are still lacking in Chinese epilepsy patients, particularly for pediatric populations and patients with renal or hepatic impairment. METHODS This study was conducted to develop a physiologically based pharmacokinetic (PBPK) model to characterize the pharmacokinetics of LCM in Chinese populations and predict the pharmacokinetics of LCM in Chinese pediatric populations and patients with renal or hepatic impairment. Using data from clinical investigations, the developed PBPK model was validated by comparing predicted and observed blood concentration data. FINDINGS Doses should be reduced to approximately 82%, 75%, 63%, and 76% of the Chinese healthy adult dose in patients with mild, moderate, and severe renal impairment and end-stage renal disease; and approximately 89%, 72%, and 36% of the Chinese healthy adult dose in patients with Child Pugh-A, B, and C hepatic impairment. For pediatric populations, intravenous doses should be adjusted to 1.75 mg/kg for newborns, 2.5 mg/kg for toddlers, 2.2 mg/kg mg for preschool and school age, and 2 mg/kg mg for adolescents to achieve an equivalent plasma exposure of 2 mg/kg LCM in adults. The oral doses should be adjusted to 20 mg for toddlers, 32 mg for preschool, 45 mg for school age, and 95 mg for adolescents to achieve an approximately equivalent plasma exposure of 100 mg LCM in adults. IMPLICATIONS The PBPK model of LCM can be utilized to optimize dosage regimens for special populations.
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Affiliation(s)
- Xinyu Zhu
- Shengzhou Branch, the First Affiliated Hospital of Zhejiang University, School of Medicine, Shengzhou, Zhejiang, China
| | - Lingfeng Guo
- Shengzhou Branch, the First Affiliated Hospital of Zhejiang University, School of Medicine, Shengzhou, Zhejiang, China
| | - Lei Zhang
- Department of Pharmacy, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Yichao Xu
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
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Xu Y, Zhang L, Dou X, Dong Y, Guo X. Physiologically based pharmacokinetic modeling of apixaban to predict exposure in populations with hepatic and renal impairment and elderly populations. Eur J Clin Pharmacol 2024; 80:261-271. [PMID: 38099940 PMCID: PMC10847219 DOI: 10.1007/s00228-023-03602-4] [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: 09/25/2023] [Accepted: 12/02/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Apixaban is a factor Xa inhibitor with a limited therapeutic index that belongs to the family of oral direct anticoagulants. The pharmacokinetic (PK) behavior of apixaban may be altered in elderly populations and populations with renal or hepatic impairment, necessitating dosage adjustments. METHODS This study was conducted to examine how the physiologically based pharmacokinetic (PBPK) model describes the PKs of apixaban in adult and elderly populations and to determine the PKs of apixaban in elderly populations with renal and hepatic impairment. After PBPK models were constructed using the reported physicochemical properties of apixaban and clinical data, they were validated using data from clinical studies involving various dose ranges. Comparing predicted and observed blood concentration data and PK parameters was utilized to evaluate the model's fit performance. RESULTS Doses should be reduced to approximately 70% of the healthy adult population for the healthy elderly population to achieve the same PK exposure; approximately 88%, 71%, and 89% of that for the elderly populations with mild, moderate, and severe renal impairment, respectively; and approximately 96%, 81%, and 58% of that for the Child Pugh-A, Child Pugh-B, and Child Pugh-C hepatic impairment elderly populations, respectively to achieve the same PK exposure. CONCLUSION The findings indicate that the renal and hepatic function might be considered for apixaban therapy in Chinese elderly patients and the PBPK model can be used to optimize dosage regimens for specific populations.
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Affiliation(s)
- Yichao Xu
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Lei Zhang
- Department of Pharmacy, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaofan Dou
- Center for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yongze Dong
- Center for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Xiangchai Guo
- Center for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
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Chen M, Yang J, Tang C, Lu X, Wei Z, Liu Y, Yu P, Li H. Improving ADMET Prediction Accuracy for Candidate Drugs: Factors to Consider in QSPR Modeling Approaches. Curr Top Med Chem 2024; 24:222-242. [PMID: 38083894 DOI: 10.2174/0115680266280005231207105900] [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: 09/19/2023] [Revised: 11/02/2023] [Accepted: 11/10/2023] [Indexed: 05/04/2024]
Abstract
Quantitative Structure-Property Relationship (QSPR) employs mathematical and statistical methods to reveal quantitative correlations between the pharmacokinetics of compounds and their molecular structures, as well as their physical and chemical properties. QSPR models have been widely applied in the prediction of drug absorption, distribution, metabolism, excretion, and toxicity (ADMET). However, the accuracy of QSPR models for predicting drug ADMET properties still needs improvement. Therefore, this paper comprehensively reviews the tools employed in various stages of QSPR predictions for drug ADMET. It summarizes commonly used approaches to building QSPR models, systematically analyzing the advantages and limitations of each modeling method to ensure their judicious application. We provide an overview of recent advancements in the application of QSPR models for predicting drug ADMET properties. Furthermore, this review explores the inherent challenges in QSPR modeling while also proposing a range of considerations aimed at enhancing model prediction accuracy. The objective is to enhance the predictive capabilities of QSPR models in the field of drug development and provide valuable reference and guidance for researchers in this domain.
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Affiliation(s)
- Meilun Chen
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Jie Yang
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Chunhua Tang
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Xiaoling Lu
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Zheng Wei
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Yijie Liu
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Peng Yu
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - HuanHuan Li
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
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Guo L, Zhu X, Zhang L, Xu Y. Physiologically based pharmacokinetic modeling of candesartan to predict the exposure in hepatic and renal impairment and elderly populations. Ther Adv Drug Saf 2023; 14:20420986231220222. [PMID: 38157240 PMCID: PMC10752084 DOI: 10.1177/20420986231220222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 11/27/2023] [Indexed: 01/03/2024] Open
Abstract
Background Candesartan cilexetil is a widely used angiotensin II receptor blocker with minimal adverse effects and high tolerability for the treatment of hypertension. Candesartan is administered orally as the prodrug candesartan cilexetil, which is wholly and swiftly converted to the active metabolite candesartan by carboxylesterase during absorption in the intestinal tract. In populations with renal or hepatic impairment, candesartan's pharmacokinetic (PK) behavior may be altered, necessitating dosage adjustments. Objectives This study was conducted to examine how the physiologically based PK (PBPK) model characterizes the PKs of candesartan in adult and geriatric populations and to predict the PKs of candesartan in elderly populations with renal and hepatic impairment. Design After developing PBPK models using the reported physicochemical properties of candesartan and clinical data, these models were validated using data from clinical investigations involving various dose ranges. Methods Comparing predicted and observed blood concentration data and PK parameters was used to assess the fit performance of the models. Results Doses should be reduced to approximately 94% of Chinese healthy adults for the Chinese healthy elderly population; approximately 92%, 68%, and 64% of that of the Chinese healthy adult dose in elderly populations with mild, moderate, and severe renal impairment, respectively; and approximately 72%, 71%, and 52% of that of the Chinese healthy adult dose in elderly populations with Child-Pugh-A, Child-Pugh-B, and Child-Pugh-C hepatic impairment, respectively. Conclusion The results suggest that the PBPK model of candesartan can be utilized to optimize dosage regimens for special populations.
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Affiliation(s)
- Lingfeng Guo
- The First Affiliated Hospital of Zhejiang University Shengzhou Branch, School of Medicine, Shengzhou, Zhejiang, China
| | - Xinyu Zhu
- The First Affiliated Hospital of Zhejiang University Shengzhou Branch, School of Medicine, Shengzhou, Zhejiang, China
| | - Lei Zhang
- Department of Pharmacy, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Yichao Xu
- Center of Clinical Pharmacology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, China
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Golhar A, Pillai M, Dhakne P, Rajput N, Jadav T, Sengupta P. Progressive tools and critical strategies for development of best fit PBPK model aiming better in vitro-in vivo correlation. Int J Pharm 2023; 643:123267. [PMID: 37488057 DOI: 10.1016/j.ijpharm.2023.123267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 07/26/2023]
Abstract
Nowadays, conducting discriminative dissolution experiments employing physiologically based pharmacokinetic modeling (PBPK) or physiologically based biopharmaceutical modeling (PBBM) is gaining significant importance in quantitatively predicting oral absorption of drugs. Mechanistic understanding of each process involved in drug absorption and its impact on the performance greatly facilitates designing a formulation with high confidence. Unfortunately, the biggest challenge scientists are facing in current days is the lack of standardized protocol for integrating dissolution experiment data during PBPK modeling. However, in vitro-in vivo drug release interrelation can be improved with the consideration and development of appropriate biorelevant dissolution media that closely mimic physiological conditions. Multiple reported dissolution models have described nature and functionality of different regions of the gastrointestinal tract (GI) to more accurately design discriminative dissolution media. Dissolution experiment data can be integrated either mechanistically or without a mechanism depending primarily on the formulation type, biopharmaceutics classification system (BCS) class and particle size of the drug substance. All such parameters are required to be considered for selecting the appropriate functions during PBPK modeling to produce a best fit model. The primary focus of this review is to critically discuss various progressive dissolution models and tools, existing challenges and approaches for establishing best fit PBPK model aiming better in vitro-in vivo correlation (IVIVC). Strategies for proper selection of dissolution models as an input function in PBPK/PBBM modeling have also been critically discussed. Logical and scientific pathway for selection of different type of functions and integration events in the commercially available in silico software has been described through case studies.
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Affiliation(s)
- Arnav Golhar
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Megha Pillai
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Pooja Dhakne
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Niraj Rajput
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Tarang Jadav
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India
| | - Pinaki Sengupta
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research-Ahmedabad (NIPER-A), An Institute of National Importance, Government of India, Department of Pharmaceuticals, Ministry of Chemicals and Fertilizers, Opp. Airforce Station, Palaj, Gandhinagar 382355, Gujarat, India.
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Denninger A, Becker T, Westedt U, Wagner KG. Advanced In Vivo Prediction by Introducing Biphasic Dissolution Data into PBPK Models. Pharmaceutics 2023; 15:1978. [PMID: 37514164 PMCID: PMC10386266 DOI: 10.3390/pharmaceutics15071978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Coupling biorelevant in vitro dissolution with in silico physiological-based pharmacokinetic (PBPK) tools represents a promising method to describe and predict the in vivo performance of drug candidates in formulation development including non-passive transport, prodrug activation, and first-pass metabolism. The objective of the present study was to assess the predictability of human pharmacokinetics by using biphasic dissolution results obtained with the previously established BiPHa+ assay and PBPK tools. For six commercial drug products, formulated by different enabling technologies, the respective organic partitioning profiles were processed with two PBPK in silico modeling tools, namely PK-Sim and GastroPlus®, similar to extended-release dissolution profiles. Thus, a mechanistic dissolution/precipitation model of the assessed drug products was not required. The developed elimination/distribution models were used to simulate the pharmacokinetics of the evaluated drug products and compared with available human data. In essence, an in vitro to in vivo extrapolation (IVIVE) was successfully developed. Organic partitioning profiles obtained from the BiPHa+ dissolution analysis enabled highly accurate predictions of the pharmacokinetic behavior of the investigated drug products. In addition, PBPK models of (pro-)drugs with pronounced first-pass metabolism enabled adjustment of the solely passive diffusion predicting organic partitioning profiles, and increased prediction accuracy further.
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Affiliation(s)
- Alexander Denninger
- Department of Pharmaceutical Technology, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany
- Corden Pharma GmbH, Otto-Hahn-Strasse, 68723 Plankstadt, Germany
| | - Tim Becker
- Department of Pharmaceutical Technology, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany
| | - Ulrich Westedt
- AbbVie Deutschland GmbH & Co. KG, Knollstrasse, 67061 Ludwigshafen, Germany
| | - Karl G Wagner
- Department of Pharmaceutical Technology, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany
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Yang E, Yu K, Lee S. Prediction of gastric pH-mediated drug exposure using physiologically-based pharmacokinetic modeling: A case study of itraconazole. CPT Pharmacometrics Syst Pharmacol 2023; 12:865-877. [PMID: 36967484 PMCID: PMC10272297 DOI: 10.1002/psp4.12959] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 02/01/2023] [Accepted: 02/14/2023] [Indexed: 05/24/2024] Open
Abstract
Abnormal gastric acidity, including achlorhydria, can act as a significant source of variability in orally administered drugs especially with pH-sensitive solubility profiles, such as weak bases, potentially resulting in an undesirable therapeutic response. This study aimed to evaluate the utility of physiologically-based pharmacokinetic (PBPK) modeling in the prediction of gastric pH-mediated drug exposure by using itraconazole, a weak base, as a case. An itraconazole PBPK model was developed on the mechanistic basis of its absorption kinetics in a middle-out manner from a stepwise in vitro-in vivo extrapolation to in vivo refinement. Afterward, an independent prospective clinical study evaluating gastric pH and itraconazole pharmacokinetics (PKs) under normal gastric acidity and esomeprazole-induced gastric hypoacidity was conducted for model validation. Validation was performed by comparing the predicted data with the clinical observations, and the valid model was subsequently applied to predict PK changes under achlorhydria. The developed itraconazole PBPK model showed reasonable reproducibility for gastric pH-mediated exposure observed in the clinical investigation. Based on the model-based simulations, itraconazole exposure was expected to be decreased up to 65% under achlorhydria, and furthermore, gastric pH-mediated exposure could be mechanistically interpreted according to sequential variation in total solubility, dissolution, and absorption. This study suggested the utility of PBPK modeling in the prediction of gastric pH-mediated exposure, especially for drugs whose absorption is susceptible to gastric pH. Our findings will serve as a leading model for further mechanistic assessment of exposure depending on gastric pH for various drugs, ultimately contributing to personalized pharmacotherapy.
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Affiliation(s)
- Eunsol Yang
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of Medicine and Hospital101 Daehak‐ro, Jongno‐guSeoul03080Republic of Korea
- Kidney Research InstituteSeoul National University Medical Research Center103 Daehak‐ro, Jongno‐guSeoul03080Republic of Korea
| | - Kyung‐Sang Yu
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of Medicine and Hospital101 Daehak‐ro, Jongno‐guSeoul03080Republic of Korea
| | - SeungHwan Lee
- Department of Clinical Pharmacology and TherapeuticsSeoul National University College of Medicine and Hospital101 Daehak‐ro, Jongno‐guSeoul03080Republic of Korea
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Rajput A, Sevalkar G, Pardeshi K, Pingale P. COMPUTATIONAL NANOSCIENCE AND TECHNOLOGY. OPENNANO 2023. [DOI: 10.1016/j.onano.2023.100147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
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Subhani S, Lukacova V, Kim C, Rodriguez-Vera L, Muniz P, Rodriguez M, Cristofoletti R, Van Os S, Suarez E, Schmidt S, Vozmediano V. Leveraging Physiologically Based Modelling to Provide Insights on the Absorption of Paliperidone Extended-Release Formulation under Fed and Fasting Conditions. Pharmaceutics 2023; 15:pharmaceutics15020629. [PMID: 36839950 PMCID: PMC9959113 DOI: 10.3390/pharmaceutics15020629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 01/25/2023] [Accepted: 02/08/2023] [Indexed: 02/15/2023] Open
Abstract
Paliperidone was approved by the US FDA in 2006 as an extended-release (ER) tablet (Invega®) for the once-daily treatment of schizophrenia. This osmotic-controlled release oral delivery system (OROS) offers advantages, such as the prevention of plasma concentration fluctuation and reduced dosing frequency. The administration of the ER after a high-fat/high-calorie meal leads to increased maximum plasma concentration and area under the curve values by 60% and 54%, respectively. Food has various effects on gastrointestinal (GI) physiology, including changed transit times, changed volumes, altered pH in different GI compartments, secretion of bile salts, and increased hepatic blood flow. This may affect solubility, the dissolution rate, absorption, and the pharmacokinetics. The aim of this study was to apply physiologically based absorption modeling (PBAM) to provide insights on paliperidone ER absorption under fed and fasting conditions. The PBAM adequately predicted absorption from the OROS formulation under both conditions. Absorption primarily occurs in the ascending colon and caecum. After a high-fat/high-calorie meal, absorption is increased through the jejunum, ileum, and colon due to either increased solubilization or the better efficiency of the OROS technology. PBAM-guided approaches can improve the understanding of branded drugs and thereby aid in guiding the development of generic formulations or formulation alternatives.
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Affiliation(s)
- Saima Subhani
- Center for Pharmacometrics and System Pharmacology at Lake Nona (Orlando), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL 32827, USA
- Simulations Plus, Lancaster, CA 93534, USA
| | | | - Chaejin Kim
- Center for Pharmacometrics and System Pharmacology at Lake Nona (Orlando), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL 32827, USA
| | - Leyanis Rodriguez-Vera
- Center for Pharmacometrics and System Pharmacology at Lake Nona (Orlando), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL 32827, USA
| | - Paula Muniz
- Model Informed Development, CTI Laboratories Spain, Derio, 48160 Bizkaia, Spain
| | - Monica Rodriguez
- Model Informed Development, CTI Laboratories Spain, Derio, 48160 Bizkaia, Spain
| | - Rodrigo Cristofoletti
- Center for Pharmacometrics and System Pharmacology at Lake Nona (Orlando), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL 32827, USA
| | | | - Elena Suarez
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Department of Pharmacology, School of Medicine and Nursing, University of the Basque Country UPV/EHU, 48940 Bizkaia, Spain
- Biocruces Health Research Institute, 48903 Bizkaia, Spain
| | - Stephan Schmidt
- Center for Pharmacometrics and System Pharmacology at Lake Nona (Orlando), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL 32827, USA
| | - Valvanera Vozmediano
- Center for Pharmacometrics and System Pharmacology at Lake Nona (Orlando), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL 32827, USA
- Correspondence:
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Agnihotri TG, Alexander A, Agrawal M, Dubey SK, Jain A. In vitro-in vivo correlation in nanocarriers: From protein corona to therapeutic implications. J Control Release 2023; 354:794-809. [PMID: 36709923 DOI: 10.1016/j.jconrel.2023.01.063] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 01/29/2023]
Abstract
Understanding and establishing a link between the physicochemical characteristics of nanoparticles (NPs) and their biological interactions poses to be a great challenge in the field of nanotherapeutics. Recent analytical advancements concerning bio-nanointerfaces have accelerated the quest to comprehend the fate of nanocarrier systems in vivo. Scientists have discovered that protein corona, an adsorbed layer of biomolecules on the surface of NPs takes a leading part in interacting with cells and in the cellular uptake process, thereby determining the in vivo behaviour of NPs. Another useful method to assess the in vivo fate of NPs is by performing dissolution testing. This forms the basis for in vitro in vivo correlation (IVIVC), relating in vitro dissolution of NPs and their in vivo properties. Scientists are continuously directing their efforts towards establishing IVIVC for different nanocarrier systems while concurrently gaining insights into protein corona. This review primarily summarizes the importance of protein corona and its interaction with nanoparticles. It also gives an insight into the factors affecting the interaction and various in vitro dissolution media used for varied nanocarrier systems. The article concludes with a discussion of the limitations of IVIVC modelling and its position from a regulatory perspective.
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Affiliation(s)
- Tejas Girish Agnihotri
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER)-Ahmedabad, Palaj, Gandhinagar 382355, Gujarat, India
| | - Amit Alexander
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER)-Guwahati, Sila village, Nizsundarighopa, Changsari, Assam 781101, India
| | - Mukta Agrawal
- School of Pharmacy & Technology Management, SVKM's Narsee Monjee Institute of Management Studies (NMIMS), Polepally SEZ, TSIIC, Jadcherla, Mahbubnagar, Hyderabad 509301, India
| | - Sunil Kumar Dubey
- R&D Healthcare Division, Emami Ltd, 13, BT Road, Belgharia, Kolkata 700056, India.
| | - Aakanchha Jain
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER)-Ahmedabad, Palaj, Gandhinagar 382355, Gujarat, India.
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Effect of starch, cellulose and povidone based superdisintegrants in a QbD-based approach for the development and optimization of Nitazoxanide orodispersible tablets: Physicochemical characterization, compaction behavior and in-silico PBPK modeling of its active metabolite Tizoxanide. J Drug Deliv Sci Technol 2022. [DOI: 10.1016/j.jddst.2022.104079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Anthis AHC, Abundo MP, Neuer AL, Tsolaki E, Rosendorf J, Rduch T, Starsich FHL, Weisse B, Liska V, Schlegel AA, Shapiro MG, Herrmann IK. Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment. Nat Commun 2022; 13:7311. [PMID: 36437258 PMCID: PMC9701692 DOI: 10.1038/s41467-022-34272-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 10/19/2022] [Indexed: 11/28/2022] Open
Abstract
Millions of patients every year undergo gastrointestinal surgery. While often lifesaving, sutured and stapled reconnections leak in around 10% of cases. Currently, surgeons rely on the monitoring of surrogate markers and clinical symptoms, which often lack sensitivity and specificity, hence only offering late-stage detection of fully developed leaks. Here, we present a holistic solution in the form of a modular, intelligent suture support sealant patch capable of containing and detecting leaks early. The pH and/or enzyme-responsive triggerable sensing elements can be read out by point-of-need ultrasound imaging. We demonstrate reliable detection of the breaching of sutures, in as little as 3 hours in intestinal leak scenarios and 15 minutes in gastric leak conditions. This technology paves the way for next-generation suture support materials that seal and offer disambiguation in cases of anastomotic leaks based on point-of-need monitoring, without reliance on complex electronics or bulky (bio)electronic implantables.
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Affiliation(s)
- Alexandre H C Anthis
- Nanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland
- Laboratory for Particles Biology Interactions, Department Materials Meet Life, Swiss Federal Laboratories for Materials Science and Technology (Empa), Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland
| | - Maria Paulene Abundo
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Anna L Neuer
- Nanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland
- Laboratory for Particles Biology Interactions, Department Materials Meet Life, Swiss Federal Laboratories for Materials Science and Technology (Empa), Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland
| | - Elena Tsolaki
- Nanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland
- Laboratory for Particles Biology Interactions, Department Materials Meet Life, Swiss Federal Laboratories for Materials Science and Technology (Empa), Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland
| | - Jachym Rosendorf
- Department of Surgery, Faculty of Medicine in Pilsen, Charles University, Prague, Czech Republic
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Prague, Czech Republic
| | - Thomas Rduch
- Laboratory for Particles Biology Interactions, Department Materials Meet Life, Swiss Federal Laboratories for Materials Science and Technology (Empa), Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland
- Department of Gynaecology, Cantonal Hospital St Gallen (KSSG), Rorschacherstrasse 95, CH-9007, St Gallen, Switzerland
| | - Fabian H L Starsich
- Nanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland
- Laboratory for Particles Biology Interactions, Department Materials Meet Life, Swiss Federal Laboratories for Materials Science and Technology (Empa), Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland
| | - Bernhard Weisse
- Laboratory for Mechanical Systems Engineering, Department of Engineering Sciences, Empa - Swiss Laboratories for Materials Science and Technology, Ueberlandstrasse 129, CH-8600, Dübendorf, Switzerland
| | - Vaclav Liska
- Department of Surgery, Faculty of Medicine in Pilsen, Charles University, Prague, Czech Republic
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Prague, Czech Republic
| | - Andrea A Schlegel
- Department of Visceral Surgery and Transplantation, University Hospital Zurich, CH-8091, Zurich, Switzerland
- Swiss HPB and Transplant Center, Zurich, Rämistrasse 100, CH-8091, Zurich, Switzerland
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Centre of Preclinical Research, Milan, 20122, Italy
| | - Mikhail G Shapiro
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
- Howard Hughes Medical Institute, Pasadena, CA, 91125, USA
| | - Inge K Herrmann
- Nanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland.
- Laboratory for Particles Biology Interactions, Department Materials Meet Life, Swiss Federal Laboratories for Materials Science and Technology (Empa), Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland.
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13
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Deon M, dos Santos J, de Andrade DF, Beck RCR. A critical review of traditional and advanced characterisation tools to drive formulators towards the rational development of 3D printed oral dosage forms. Int J Pharm 2022; 628:122293. [DOI: 10.1016/j.ijpharm.2022.122293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 10/03/2022] [Accepted: 10/09/2022] [Indexed: 10/31/2022]
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14
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Xu J, Zhang L, Shao X. Applications of bio-predictive dissolution tools for the development of solid oral dosage forms: Current industry experience. Drug Dev Ind Pharm 2022; 48:79-97. [PMID: 35786119 DOI: 10.1080/03639045.2022.2098315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Development and optimization of orally administered drug products often require bio-predictive tools to help with informing formulation and manufacturing decisions. Reliable bio-predictive dissolution toolkits not only allow rational development of target formulations without having to conduct excessive in vivo studies but also help in detecting critical material attributes (CMAs), critical formulation variables (CFVs), or critical process parameters (CPPs) that could impact a drug's in vivo performance. To provide early insights for scientists on the development of a bio-predictive method for drug product development, this review summarizes current phase-appropriate bio-predictive dissolution approaches applicable to address typical concerns on solubility-limited absorption, food effect, achlorhydria, development of extended-release formulation, clinically relevant specification, and biowaiver. The selection of an in vitro method which can capture the key rate-limiting step(s) of the in vivo dissolution and/or absorption is considered to have a better chance to produce a meaningful in vitro-in vivo correlation (IVIVC) or in vitro-in vivo relationship (IVIVR).
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Affiliation(s)
- Jin Xu
- Pharmaceutical Development, Biogen Inc., 115 Broadway, Cambridge, MA 02142, United State
| | - Limin Zhang
- Analytical Strategy and Operations, Bristol-Myers Squibb, Co., One Squibb Drive, New Brunswick, NJ 08903, United State
| | - Xi Shao
- Analytical R&D, Development Science, AbbVie Inc., 1 N Waukegan Rd, North Chicago, IL, 60064, United States
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15
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Xu Y, Chen J, Ruan Z, Jiang B, Yang D, Hu Y, Lou H. Simulation of Febuxostat Pharmacokinetics in Healthy Subjects and Patients with Impaired Kidney Function Using Physiologically Based Pharmacokinetic Modeling. Biopharm Drug Dispos 2022; 43:140-151. [PMID: 35748093 DOI: 10.1002/bdd.2325] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 05/08/2022] [Accepted: 06/03/2022] [Indexed: 11/11/2022]
Abstract
Febuxostat is recommend by the American College of Rheumatology Gout Management Guidelines as a first-line therapy for lowering the level of urate in patients with gout. At present, this drug is being prescribed mainly based on the clinical experience of doctors. The potential effects of clinical and demographic variables on the bioavailability and therapeutic effectiveness of febuxostat are not being considered. In this study, a physiologically based pharmacokinetic (PBPK) model of febuxostat was developed, thereby providing a theoretical basis for the individualized dosing of this drug in gout patients. The plasma concentration-time profiles corresponding to healthy subjects and gout patients with normal kidney function were simulated and validated; then, the model was used to predict the pharmacokinetic (PK) data of the drug in gout patients suffering from varying degrees of impaired kidney function. The error values (the predicted value/observed value) were used to validate the simulated PK parameters predicted by the PBPK model, including the area under the plasma concentration-time curve, the maximum plasma concentration, and time to maximum plasma concentration. Considering that to all error fold changes were smaller than 2 the PBPK model was. In subjects suffering from mild kidney impairment, moderate kidney impairment, severe kidney impairment, and end-stage kidney disease (ESRD), the predicted AUC0-24h values increased by 1.62, 1.74, 2.27, and 2.65-fold, respectively, compared to gout patients with normal kidney function. Overall, the results showed that the PBPK model constructed in this study predict the pharmacokinetic changes in gout patients suffering from varying degrees of impaired kidney function. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Yichao Xu
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Jinliang Chen
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Zourong Ruan
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Bo Jiang
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Dandan Yang
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Yin Hu
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - Honggang Lou
- Center of Clinical Pharmacology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
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16
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Soliman ME, Adewumi AT, Akawa OB, Subair TI, Okunlola FO, Akinsuku OE, Khan S. Simulation Models for Prediction of Bioavailability of Medicinal Drugs-the Interface Between Experiment and Computation. AAPS PharmSciTech 2022; 23:86. [PMID: 35292867 DOI: 10.1208/s12249-022-02229-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 02/03/2022] [Indexed: 12/17/2022] Open
Abstract
The oral drug bioavailability (BA) problems have remained inevitable over the years, impairing drug efficacy and indirectly leading to eventual human morbidity and mortality. However, some conventional lab-based methods improve drug absorption leading to enhanced BA, and the recent experimental techniques are up-and-coming. Nevertheless, some have inherent drawbacks in improving the efficacy of poorly insoluble and low impermeable drugs. Drug BA and strategies to overcome these challenges were briefly highlighted. This review has significantly unravelled the different computational models for studying and predicting drug bioavailability. Several computational approaches provide mechanistic insights into the oral drug delivery system simulation of descriptors like solubility, permeability, transport protein-ligand interactions, and molecular structures. The in silico techniques have long been known still are just being applied to unravel drug bioavailability issues. Many publications have reported novel applications of the computational models towards achieving improved drug BA, including predicting gastrointestinal tract (GIT) drug absorption properties and passive intestinal membrane permeability, thus maximizing time and resources. Also, the classical molecular simulation models for free solvation energies of soluble-related processes such as solubilization, dissolutions, supersaturation, and precipitation have been used in virtual screening studies. A few of the tools are GastroPlusTM that supports biowaiver for drugs, mainly BCS class III and predicts drug compounds' absorption and pharmacokinetic process; SimCyp® simulator for mechanistic modelling and simulation of drug formulation processes; pharmacodynamics analysis on non-linear mixed-effects modelling; and mathematical models, predicting absorption potential/maximum absorption dose. This review provides in silico-experiment annexation in the drug bioavailability enhancement, possible insights that lead to critical opinion on the applications and reliability of the various in silico models as a growing tool for drug development and discovery, thus accelerating drug development processes.
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17
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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: 8] [Impact Index Per Article: 4.0] [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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18
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Adaptation of the Kirkstall QV600 LLI Microfluidics System for the Study of Gastrointestinal Absorption by Mass Spectrometry Imaging and LC-MS/MS. Pharmaceutics 2022; 14:pharmaceutics14020364. [PMID: 35214096 PMCID: PMC8878338 DOI: 10.3390/pharmaceutics14020364] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/26/2022] [Accepted: 02/02/2022] [Indexed: 02/04/2023] Open
Abstract
Absorption studies on oral drugs can be difficult due to the challenge of replicating the complex structure and environment of the GI tract. Drug absorption studies can be conducted using in vivo and ex vivo animal tissue or animal-free techniques. These studies typically involve the use of Caco-2 cells. However, Caco-2 cells do not incorporate all the cell types found in intestinal tissue and lack P450 metabolizing enzymes. The QV600 LLI system is a microfluidics system designed for use with cell culture. Here, it has been adapted to house appropriate sections of ex vivo porcine tissue to act as a system that models the duodenum section of the small intestine. A pH regulated solution of Atorvastatin was flowed over the apical layer of the GI tissue and a nutrient solution flowed over the basal layer of the tissue to maintain tissue viability. The tissue samples were snap-frozen, cryosectioned, and imaged using MALDI Mass Spectrometry Imaging (MSI). A proof-of-concept study on the effect of excipients on absorption was conducted. Different concentrations of the solubilizing agent were added to the donor circuit of the QV600 LLI. The amount of Atorvastatin in the acceptor circuit was determined to study the effect of the excipient on the amount of drug that had permeated through the tissue. Using these data, Papp, pig values were calculated and compared with the literature.
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19
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Xia MY, Zhu BQ, Wang JR, Yang ZE, Mei XF. Superior Dissolution Behavior and Bioavailability of Pharmaceutical Cocrystals and Recent Regulatory Issues. ACS Med Chem Lett 2021; 13:29-37. [PMID: 35059121 PMCID: PMC8762724 DOI: 10.1021/acsmedchemlett.1c00478] [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: 08/31/2021] [Accepted: 12/15/2021] [Indexed: 01/16/2023] Open
Abstract
Cocrystallization has been used extensively to optimize the physicochemical properties of active pharmaceutical ingredients (APIs), such as stability, dissolution, and bioavailability. This review summarizes the history and development of cocrystals, the differences between pharmaceutical cocrystals and salts, and the mechanism underlying the improvement of dissolution through cocrystallization. The correlation of in vitro dissolution and in vivo absorption data (IVIVC) of cocrystals has been discussed as well. Subsequently, guidelines for regulatory classification of cocrystals by the U.S. Food and Drug Administration (FDA) and European Medicines Agency (EMA) are introduced. Finally, d-α-tocopherol is used as an example to demonstrate the potential of cocrystals in patent generation.
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Affiliation(s)
- Meng Y. Xia
- Pharmaceutical
Analytical & Solid-State Chemistry Research Center, Shanghai Institute of Materia Medica, Chinese Academy
of Sciences, Shanghai 201203, China,University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Bing Q. Zhu
- Pharmaceutical
Analytical & Solid-State Chemistry Research Center, Shanghai Institute of Materia Medica, Chinese Academy
of Sciences, Shanghai 201203, China
| | - Jian-R. Wang
- Pharmaceutical
Analytical & Solid-State Chemistry Research Center, Shanghai Institute of Materia Medica, Chinese Academy
of Sciences, Shanghai 201203, China
| | - Ze E. Yang
- Pharmaceutical
Analytical & Solid-State Chemistry Research Center, Shanghai Institute of Materia Medica, Chinese Academy
of Sciences, Shanghai 201203, China
| | - Xue F. Mei
- Pharmaceutical
Analytical & Solid-State Chemistry Research Center, Shanghai Institute of Materia Medica, Chinese Academy
of Sciences, Shanghai 201203, China,University
of Chinese Academy of Sciences, Beijing 100049, China,
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20
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Best practices in current models mimicking drug permeability in the gastrointestinal tract - an UNGAP review. Eur J Pharm Sci 2021; 170:106098. [PMID: 34954051 DOI: 10.1016/j.ejps.2021.106098] [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: 08/10/2021] [Revised: 10/19/2021] [Accepted: 12/15/2021] [Indexed: 12/21/2022]
Abstract
The absorption of orally administered drug products is a complex, dynamic process, dependent on a range of biopharmaceutical properties; notably the aqueous solubility of a molecule, stability within the gastrointestinal tract (GIT) and permeability. From a regulatory perspective, the concept of high intestinal permeability is intrinsically linked to the fraction of the oral dose absorbed. The relationship between permeability and the extent of absorption means that experimental models of permeability have regularly been used as a surrogate measure to estimate the fraction absorbed. Accurate assessment of a molecule's intestinal permeability is of critical importance during the pharmaceutical development process of oral drug products, and the current review provides a critique of in vivo, in vitro and ex vivo approaches. The usefulness of in silico models to predict drug permeability is also discussed and an overview of solvent systems used in permeability assessments is provided. Studies of drug absorption in humans are an indirect indicator of intestinal permeability, but in vitro and ex vivo tools provide initial screening approaches are important tools for direct assessment of permeability in drug development. Continued refinement of the accuracy of in silico approaches and their validation with human in vivo data will facilitate more efficient characterisation of permeability earlier in the drug development process and will provide useful inputs for integrated, end-to-end absorption modelling.
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21
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Gao Z, Cao LNY, Liu X, Tian L, Rodriguez JD. An In Vitro Dissolution Method for Testing Extended-Release Tablets Under Mechanical Compression and Sample Friction. J Pharm Sci 2021; 111:1652-1658. [PMID: 34742730 DOI: 10.1016/j.xphs.2021.10.036] [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: 06/23/2021] [Revised: 10/29/2021] [Accepted: 10/29/2021] [Indexed: 11/29/2022]
Abstract
The release and dissolution of an active pharmaceutical ingredient (API) from the solid oral formulation into the gastrointestinal (GI) tract is critical for the drug's absorption into systemic circulation. Extended-release (ER) solid oral dosage forms are normally subjected to physical shear and grinding forces as well as pressure exerted by peristaltic movements when passing through the GI tract. The complex physical contraction and sample friction exerted by the GI tract are not simulated well by compendial dissolution methods. These limitations render traditional in vitro dissolution testing unable to discriminate and predict a product's in vivo performance. The objective of this study was to develop a dissolution method that better simulates the GI environment that products are subject to when taken by patients. A newly designed Mechanical Apparatus under GI Conditions (MAGIC) was assembled with a dissolution platform and mechanical capabilities to allow in vitro dissolution testing under sample contractions and friction. The dissolution platform, with medium flow-through configuration, was manufactured by 3D printing. A 60 mg polymer matrix-based ER nifedipine product was tested. To simulate GI physiological conditions during the dissolution testing, the flow rate of the medium, and a combination of mechanical compression with rotation induced sample friction at various rotation frequencies were explored. The polymer matrix-based nifedipine ER formulation used here failed its controlled release functionality in the simulated GI environment under mechanical compression and sample friction. The results showed that the MAGIC system, with flow-through configuration under compression and sample friction, has advantages over compendial methods in testing ER solid oral formulations.
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Affiliation(s)
- Zongming Gao
- US Food and Drug Administration, Center for Drug Evaluation and Research, Division of Complex Drug Analysis, St. Louis, MO, 63110.
| | - Leo N Y Cao
- US Food and Drug Administration, Center for Drug Evaluation and Research, Division of Complex Drug Analysis, St. Louis, MO, 63110
| | - Xiaofei Liu
- US Food and Drug Administration, Center for Drug Evaluation and Research, Division of Complex Drug Analysis, St. Louis, MO, 63110
| | - Li Tian
- US Food and Drug Administration, Center for Drug Evaluation and Research, Division of Complex Drug Analysis, St. Louis, MO, 63110
| | - Jason D Rodriguez
- US Food and Drug Administration, Center for Drug Evaluation and Research, Division of Complex Drug Analysis, St. Louis, MO, 63110
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22
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Gupta R, Chen Y, Xie H. In vitro dissolution considerations associated with nano drug delivery systems. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2021; 13:e1732. [PMID: 34132050 PMCID: PMC8526385 DOI: 10.1002/wnan.1732] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/26/2021] [Accepted: 05/28/2021] [Indexed: 12/17/2022]
Abstract
Nano drug delivery systems (NDDS) offer promising solution for the translation of future nanomedicines. As bioavailability and therapeutic outcomes can be improved by altering the drug release from these NDDS, it becomes essential to thoroughly understand their drug release kinetics. Moreover, U.S. Food and Drug Administration requires critical evaluation of potential safety, efficacy, and public health impacts of nanomaterials. Spiraling up market share of NDDS has also stimulated the pharmaceutical industry to develop their cost-effective generic versions after the expiry of patent and associated exclusivity. However, unlike the conventional dosage forms, the in vivo disposition of NDDS is highly intricate and different from their in vitro behavior. Significant challenges exist in the establishment of in vitro-in vivo correlation (IVIVC) due to incomplete understanding of nanoparticles' in vivo biofate and its impact on in vitro experimental protocols. A rational design of dissolution may serve as quality and quantity control tool and help develop a meaningful IVIVC for favorable economic implications. Clinically relevant drug product specifications (critical quality attributes) can be identified by establishing a link between in vitro performance and in vivo exposure. In vitro dissolution may also play a pivotal role to understand the dissolution-mediated clearance and safety of NDDS. Prevalent in vitro dissolution methods for NDDS and their limitations are discussed in this review, among which USP 4 is gaining more interest recently. Researchers are working diligently to develop biorelevant in vitro release assays to ensure optimal therapeutic performance of generic versions of these NDDS. This article focuses on these studies and presents important considerations for the future development of clinically relevant in vitro release methods. This article is categorized under: Toxicology and Regulatory Issues in Nanomedicine > Regulatory and Policy Issues in Nanomedicine.
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Affiliation(s)
- Ritu Gupta
- Department of Pharmaceutical Science, College of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA 77004
| | - Yuan Chen
- Department of Pharmaceutical Science, College of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA 77004
| | - Huan Xie
- Department of Pharmaceutical Science, College of Pharmacy and Health Sciences, Texas Southern University, Houston, TX, USA 77004
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23
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Gong D, Zhai M, Yang F, Sun G, Zhang H. Rapid determination of twelve bioactive components in rat plasma by UHPLC-MS/MS and its application to pharmacokinetic and in vitro-in vivo correlation study of compound liquorice tablets. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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24
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Dai T, Chen Y, Sun G. The evaluation of the chemical quality and UV overall components dissolution consistency of Flos Chrysanthemi Indici preparation. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:3479-3492. [PMID: 34263273 DOI: 10.1039/d1ay00994j] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In recent years, new chemical technology and chemical analysis methods have been widely used for the quality control of medicine to provide security for human life. However, for the increasingly popular traditional Chinese medicine (TCM) preparations, the traditional quality control technology has been challenged due the presence of multi-components. To solve this problem, this study proposed a comprehensive evaluation strategy from two aspects: chemical quality and in vitro dissolution consistency. Zhenju antihypertensive tablet (FCIP), as the research object of this study, is a compound preparation of Flos Chrysanthemi Indici with moderate antihypertensive effect. For the chemical quality, the capillary electrophoresis fingerprint (CE-FP) was established based on the characteristic multi-wavelength averaging fusion profiling (CMW-AFP) strategy, which can fuse peaks in the CE chromatogram at several select characteristic wavelengths into one profile through an averaging algorithm. All samples were clarified into 5 quality grades using the systematic quantified fingerprint method, and showed significant difference among the four manufacturers. Combined with the accurate determination of the marker components, the CE-FP evaluation results can provide a guarantee for the chemical quality consistency. For the in vitro dissolution consistency, a UV overall components dissolution method was proposed. Meanwhile, in order to match the established UV overall dissolution system, two f2 factors (f2-R and f2-MI) were calculated to compare the dissolution profiles. By comparing the chemical and UV overall dissolution results plus the PCA analysis, the holistic quality of the FCIP samples of four manufacturers were obtained as MA > MC > MD > MB. The established evaluation system is also a suitable strategy for controlling the chemical quality and dissolution consistency of other TCM preparations.
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Affiliation(s)
- Tingting Dai
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110032, China.
| | - Yantong Chen
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110032, China.
| | - Guoxiang Sun
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110032, China.
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25
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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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26
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Yang Y, Lv Y, Shen C, Shi T, He H, Qi J, Dong X, Zhao W, Lu Y, Wu W. In vivo dissolution of poorly water-soluble drugs: Proof of concept based on fluorescence bioimaging. Acta Pharm Sin B 2021; 11:1056-1068. [PMID: 33996417 PMCID: PMC8105772 DOI: 10.1016/j.apsb.2020.08.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 06/16/2020] [Accepted: 07/09/2020] [Indexed: 01/10/2023] Open
Abstract
In vitro‒in vivo correlation (IVIVC) of solid dosage forms should be established basically between in vitro and in vivo dissolution of active pharmaceutical ingredients. Nevertheless, in vivo dissolution profiles have never been accurately portrayed. The current practice of IVIVC has to resort to in vivo absorption fractions (Fa). In this proof-of-concept study, in vivo dissolution of a model poorly water-soluble drug fenofibrate (FNB) was investigated by fluorescence bioimaging. FNB crystals were first labeled by near-infrared fluorophores with aggregation-caused quenching properties. The dyes illuminated FNB crystals but quenched immediately and absolutely once been released into aqueous media, enabling accurate monitoring of residual drug crystals. The linearity established between fluorescence and crystal concentration justified reliable quantification of FNB crystals. In vitro dissolution was first measured following pharmacopoeia monograph protocols with well-documented IVIVC. The synchronicity between fluorescence and in vitro dissolution of FNB supported using fluorescence as a measure for determination of dissolution. In vitro dissolution correlated well with in vivo dissolution, acquired by either live or ex vivo imaging. The newly established IVIVC was further validated by correlating both in vitro and in vivo dissolution with Fa obtained from pharmacokinetic data.
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27
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Thakral NK, Meister E, Jankovsky C, Li L, Schwabe R, Luo L, Chen S. Prediction of in vivo supersaturation and precipitation of poorly water-soluble drugs: Achievements and aspirations. Int J Pharm 2021; 600:120505. [PMID: 33753162 DOI: 10.1016/j.ijpharm.2021.120505] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 03/10/2021] [Accepted: 03/13/2021] [Indexed: 12/14/2022]
Abstract
This review focuses on options available to a pharmaceutical scientist to predict in vivo supersaturation and precipitation of poorly water-soluble drugs. As no single device or system can simulate the complex gastrointestinal environment, a combination of appropriate in vitro tools may be utilized to get optimal predictive information. To address the empirical issues encountered during small-scale and full-scale in vitro predictive testing, theoretical background and relevant case studies are discussed. The practical considerations for selection of appropriate tools at various stages of drug development are recommended. Upcoming technologies that have potential to further reduce in vivo studies and expedite the drug development process are also discussed.
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Affiliation(s)
- Naveen K Thakral
- Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States.
| | - Eva Meister
- Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States
| | - Corinne Jankovsky
- Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States
| | - Li Li
- Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States; Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, 4849 Calhoun Road, Houston, TX 77204, United States
| | - Robert Schwabe
- Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States
| | - Laibin Luo
- Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States
| | - Shirlynn Chen
- Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States
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28
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Soni A, Paprikar A, Lin S. Effect of alkalizing agent on abuse deterrent potential of multiple-unit ingestion of bilayer abuse-deterrent extended-release tablets using propranolol as model drug for opioids overdose crisis. Int J Pharm 2021; 600:120480. [PMID: 33722755 DOI: 10.1016/j.ijpharm.2021.120480] [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: 10/23/2020] [Revised: 03/04/2021] [Accepted: 03/06/2021] [Indexed: 12/25/2022]
Abstract
The objective of present study is to develop bilayer abuse-deterrent extended-release tablets (ADERTs) using propranolol HCl as model drug for opioids overdose crisis. Bilayer ADERTs were fabricated by direct compression and formulated with polymer matrix in extended-release drug layer coupled with alkalizing and aversive agents in fast-disintegrating pH modifying layer. Various alkalizing agents, like magnesium hydroxide, aluminum hydroxide, calcium carbonate, and calcium hydroxide, were evaluated for their abuse-deterrent potential via in-vitro drug release and extraction studies. Based on the outcomes, magnesium hydroxide was selected as an alkalizing agent, since it raised the pH of dissolving media near to pKa of the drug studied in this investigation. The formulated bilayer ADERTs with magnesium hydroxide provided similar drug release profiles as compared to conventional extended-release tablets for single-unit ingestion. However, upon ingestion of multiple-unit bilayer ADERTs, the fast-disintegrating pH modifying layer increases pH of dissolving media, while extended-release layer increases micro-environmental pH within tablets. Retarding drug release owing to low solubility of basic drug at higher pH was observed. Therefore, the application of alkalizing agent has impact on pH-dependent solubility of drug like opioids and demonstrate its useful potential to be incorporated in bilayer ADERTs for opioids overdose crisis.
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Affiliation(s)
- Ankit Soni
- College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA
| | - Anuja Paprikar
- College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA
| | - Senshang Lin
- College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA.
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29
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On Absorption Modeling and Food Effect Prediction of Rivaroxaban, a BCS II Drug Orally Administered as an Immediate-Release Tablet. Pharmaceutics 2021; 13:pharmaceutics13020283. [PMID: 33672439 PMCID: PMC7923293 DOI: 10.3390/pharmaceutics13020283] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 02/10/2021] [Accepted: 02/12/2021] [Indexed: 12/17/2022] Open
Abstract
The present work evaluates the food effect on the absorption of rivaroxaban (Riva), a BCS II drug, from the orally administered commercial immediate-release tablet (Xarelto IR) using physiologically based pharmacokinetic (PBPK) and conventional in vitro-in vivo correlation (IVIVC) models. The bioavailability of Riva upon oral administration of Xarelto IR tablet is reported to exhibit a positive food effect. The PBPK model for Riva was developed and verified using the previously reported in vivo data for oral solution (5 and 10 mg) and Xarelto IR tablet (5 and 10 mg dose strength). Once the PBPK model was established, the in vivo performance of the tablet formulation with the higher dose strength (Xarelto IR tablet 20 mg in fasted and fed state) was predicted using the experimentally obtained data of in vitro permeability, biorelevant solubility and in vitro dynamic dissolution data using United States Pharmacopeia (USP) IV flow-through cell apparatus. In addition, the mathematical IVIVC model was developed using the in vitro dissolution and in vivo profile of 20 mg strength Xarelto IR tablet in fasted condition. Using the developed IVIVC model, the pharmacokinetic (PK) profile of the Xarelto IR tablet in fed condition was predicted and compared with the PK parameters obtained via the PBPK model. A virtual in vivo PK study was designed using a single-dose, 3-treatment cross-over trial in 50 subjects to predict the PK profile of the Xarelto® IR tablet in the fed state. Overall, the results obtained from the IVIVC model were found to be comparable with those from the PBPK model. The outcome from both models pointed to the positive food effect on the in vivo profile of the Riva. The developed models thus can be effectively extended to establish bioequivalence for the marketed and novel complex formulations of Riva such as amorphous solid dispersions.
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30
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Cadilla R, Deaton DN, Do Y, Elkins PA, Ennulat D, Guss JH, Holt J, Jeune MR, King AG, Klapwijk JC, Kramer HF, Kramer NJ, Laffan SB, Masuria PI, McDougal AV, Mortenson PN, Musetti C, Peckham GE, Pietrak BL, Poole C, Price DJ, Rendina AR, Sati G, Saxty G, Shearer BG, Shewchuk LM, Sneddon HF, Stewart EL, Stuart JD, Thomas DN, Thomson SA, Ward P, Wilson JW, Xu T, Youngman MA. The exploration of aza-quinolines as hematopoietic prostaglandin D synthase (H-PGDS) inhibitors with low brain exposure. Bioorg Med Chem 2020; 28:115791. [PMID: 33059303 DOI: 10.1016/j.bmc.2020.115791] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 09/18/2020] [Accepted: 09/24/2020] [Indexed: 12/15/2022]
Abstract
GlaxoSmithKline and Astex Pharmaceuticals recently disclosed the discovery of the potent H-PGDS inhibitor GSK2894631A 1a (IC50 = 9.9 nM) as part of a fragment-based drug discovery collaboration with Astex Pharmaceuticals. This molecule exhibited good murine pharmacokinetics, allowing it to be utilized to explore H-PGDS pharmacology in vivo. Yet, with prolonged dosing at higher concentrations, 1a induced CNS toxicity. Looking to attenuate brain penetration in this series, aza-quinolines, were prepared with the intent of increasing polar surface area. Nitrogen substitutions at the 6- and 8-positions of the quinoline were discovered to be tolerated by the enzyme. Subsequent structure activity studies in these aza-quinoline scaffolds led to the identification of 1,8-naphthyridine 1y (IC50 = 9.4 nM) as a potent peripherally restricted H-PGDS inhibitor. Compound 1y is efficacious in four in vivo inflammatory models and exhibits no CNS toxicity.
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Affiliation(s)
- Rodolfo Cadilla
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - David N Deaton
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA.
| | - Young Do
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Patricia A Elkins
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Daniela Ennulat
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Jeffrey H Guss
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Jason Holt
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Michael R Jeune
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Andrew G King
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Jan C Klapwijk
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - H Fritz Kramer
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Nicholas J Kramer
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Susan B Laffan
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Paresh I Masuria
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Alan V McDougal
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Paul N Mortenson
- Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, UK
| | - Caterina Musetti
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Gregory E Peckham
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Beth L Pietrak
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Chuck Poole
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Daniel J Price
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Alan R Rendina
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Girish Sati
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Gordon Saxty
- Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, UK
| | - Barry G Shearer
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Lisa M Shewchuk
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Helen F Sneddon
- GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, UK
| | - Eugene L Stewart
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - J Darren Stuart
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Dean N Thomas
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Stephen A Thomson
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Paris Ward
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
| | - Joseph W Wilson
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Tiahshun Xu
- GlaxoSmithKline, 5 Moore Drive, P.O. Box 13398, Research Triangle Park, NC 27709, USA
| | - Mark A Youngman
- GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA
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31
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Characterization of Affitin proteolytic digestion in biorelevant media and improvement of their stabilities via protein engineering. Sci Rep 2020; 10:19703. [PMID: 33184451 PMCID: PMC7661517 DOI: 10.1038/s41598-020-76855-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 10/26/2020] [Indexed: 12/13/2022] Open
Abstract
Affitins are a novel class of small 7 kDa artificial proteins which can be used as antibody substitutes in therapeutic, diagnostic and biotechnological applications. One challenge for this type of protein agent is their behaviour in the context of oral administration. The digestive system is central, and biorelevant media have fast emerged as relevant and reliable tools for evaluating the bioavailability of drugs. This study describes, for the first time, the stability of Affitins under simulated gastric and intestinal digestion conditions. Affitins appear to be degraded into stable fragments in in vitro gastric medium. We identified cleavage sites generated by pepsin that were silenced by site-directed mutagenesis. This protein engineering allowed us to enhance Affitin properties. We showed that a mutant M1 containing a double mutation of amino acid residues 6 and 7 in H4 and C3 Affitins acquired a resistance against proteolytic digestion. In addition, these mutations were beneficial for target affinity, as well as for production yield. Finally, we found that the mutated residues kept or increased the important pH and temperature stabilities of Affitins. These improvements are particularly sought after in the development of engineered binding proteins for research tools, preclinical studies and clinical applications.
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32
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Spencer CE, Flint LE, Duckett CJ, Cole LM, Cross N, Smith DP, Clench MR. Role of MALDI-MSI in combination with 3D tissue models for early stage efficacy and safety testing of drugs and toxicants. Expert Rev Proteomics 2020; 17:827-841. [PMID: 33440126 PMCID: PMC8396712 DOI: 10.1080/14789450.2021.1876568] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 01/12/2021] [Indexed: 12/13/2022]
Abstract
Introduction: Three-dimensional (3D) cell cultures have become increasingly important materials to investigate biological processes and drug efficacy and toxicity. The ability of 3D cultures to mimic the physiology of primary tissues and organs in the human body enables further insight into cellular behavior and is hence highly desirable in early-stage drug development. Analyzing the spatial distribution of drug compounds and endogenous molecules provides an insight into the efficacy of a drug whilst simultaneously giving information on biological responses. Areas Covered: In this review we will examine the main 3D cell culture systems employed and applications, which describe their integration with mass spectrometry imaging (MSI). Expert Opinion: MSI is a powerful technique that can map a vast range of molecules simultaneously in tissues without the addition of labels that can provide insights into the efficacy and safety of a new drug. The combination of MSI and 3D cell cultures has emerged as a promising tool in early-stage drug analysis. However, the most common administration route for pharmaceutical drugs is via oral delivery. The use of MSI in combination with models of the GI tract is an area that has been little explored to date, the reasons for this are discussed.
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Affiliation(s)
- Chloe E Spencer
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Lucy E Flint
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Catherine J Duckett
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Laura M Cole
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Neil Cross
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - David P Smith
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Malcolm R Clench
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
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Park H, Ha ES, Kim MS. Current Status of Supersaturable Self-Emulsifying Drug Delivery Systems. Pharmaceutics 2020; 12:pharmaceutics12040365. [PMID: 32316199 PMCID: PMC7238279 DOI: 10.3390/pharmaceutics12040365] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 04/09/2020] [Accepted: 04/14/2020] [Indexed: 12/13/2022] Open
Abstract
Self-emulsifying drug delivery systems (SEDDSs) are a vital strategy to enhance the bioavailability (BA) of formulations of poorly water-soluble compounds. However, these formulations have certain limitations, including in vivo drug precipitation, poor in vitro in vivo correlation due to a lack of predictive in vitro tests, issues in handling of liquid formulation, and physico-chemical instability of drug and/or vehicle components. To overcome these limitations, which restrict the potential usage of such systems, the supersaturable SEDDSs (su-SEDDSs) have gained attention based on the fact that the inclusion of precipitation inhibitors (PIs) within SEDDSs helps maintain drug supersaturation after dispersion and digestion in the gastrointestinal tract. This improves the BA of drugs and reduces the variability of exposure. In addition, the formulation of solid su-SEDDSs has helped to overcome disadvantages of liquid or capsule dosage form. This review article discusses, in detail, the current status of su-SEDDSs that overcome the limitations of conventional SEDDSs. It discusses the definition and range of su-SEDDSs, the principle mechanisms underlying precipitation inhibition and enhanced in vivo absorption, drug application cases, biorelevance in vitro digestion models, and the development of liquid su-SEDDSs to solid dosage forms. This review also describes the effects of various physiological factors and the potential interactions between PIs and lipid, lipase or lipid digested products on the in vivo performance of su-SEDDSs. In particular, several considerations relating to the properties of PIs are discussed from various perspectives.
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Gao Z, Tian L, Rodriguez JD. Nifedipine Release From Extended-Release Solid Oral Formulations Using In Vitro Dissolution Testing Under Simulated Gastrointestinal Compression. J Pharm Sci 2020; 109:2173-2179. [PMID: 32240693 DOI: 10.1016/j.xphs.2020.03.023] [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: 02/24/2020] [Revised: 03/20/2020] [Accepted: 03/23/2020] [Indexed: 10/24/2022]
Abstract
Drug release plays a critical role in defining bioavailability for an extended release solid oral drug products and predictive dissolution tests are desired to establish clinically relevant quality standards for batch release. The objective of this study focuses on exploring the possible impacts of 1 gastrointestinal (GI) parameter for 1 drug: simulated GI contractions on nifedipine release (in 2 extended release solid oral formulations). The 60 mg nifedipine osmotic pump product A, and polymer matrix-based products B and C were examined in the study. An in-house dissolution system was used to simulate various levels of GI contractions on tested samples, and to monitor changes of sample mechanical properties during dissolution testing. The results show that the polymer matrix-based formulation failed to provide controlled release when simulated GI contraction was above 100 g of force. The method may be useful for polymer matrix-based products to assess potential formulation-related interactions with the GI tract during in vivo drug dissolution.
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Affiliation(s)
- Zongming Gao
- Division of Pharmaceutical Analysis, Food and Drug Administration, Center for Drug Evaluation and Research, St. Louis, Missouri 63110.
| | - Li Tian
- Division of Pharmaceutical Analysis, Food and Drug Administration, Center for Drug Evaluation and Research, St. Louis, Missouri 63110
| | - Jason D Rodriguez
- Division of Pharmaceutical Analysis, Food and Drug Administration, Center for Drug Evaluation and Research, St. Louis, Missouri 63110
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35
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The biorelevant simulation of gastric emptying and its impact on model drug dissolution and absorption kinetics. Eur J Pharm Biopharm 2020; 149:113-120. [DOI: 10.1016/j.ejpb.2020.02.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 01/07/2020] [Accepted: 02/04/2020] [Indexed: 12/15/2022]
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36
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Kaur N, Thakur PS, Shete G, Gangwal R, Sangamwar AT, Bansal AK. Understanding the Oral Absorption of Irbesartan Using Biorelevant Dissolution Testing and PBPK Modeling. AAPS PharmSciTech 2020; 21:102. [PMID: 32152915 DOI: 10.1208/s12249-020-01643-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 02/19/2020] [Indexed: 12/28/2022] Open
Abstract
Poorly soluble weak bases form a significant proportion of the drugs available in the market thereby making it imperative to understand their absorption behavior. This work aims to mechanistically understand the oral absorption behavior for a weakly basic drug, Irbesartan (IRB), by investigating its pH dependent solubility, supersaturation, and precipitation behavior. Simulations performed using the equilibrium solubility could not accurately predict oral absorption. A multi-compartmental biorelevant dissolution testing model was used to evaluate dissolution in the stomach and duodenal compartment and mimic oral drug administration. This model exhibited sustained intestinal supersaturation (2-4-fold) even upon varying flow rates (4 mL/min, 7 mL/min, and mono-exponential transfer) from gastric to intestinal compartment. Simulation of oral absorption using GastroPlus™ and dissolution data collectively predicted plasma exposure with higher accuracy (% prediction error values within ± 15%), thereby indicating that multi-compartment dissolution testing enabled an improved prediction for oral pharmacokinetics of Irbesartan. Additionally, precipitates obtained in the intestinal compartment were characterized to determine the factors underlying intestinal supersaturation of Irbesartan. The solid form of these precipitates was amorphous with considerable particle size reduction. This indicated that following gastric transit, precipitate formation in the amorphous form coupled with an approximately 10 times particle size reduction could be potential factors leading to the generation and sustenance of intestinal drug supersaturation.
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37
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The role of glycyrrhizic acid in colloidal phenomena of supersaturation drug delivery systems containing the antifungal drug griseofulvin. J Mol Liq 2020. [DOI: 10.1016/j.molliq.2019.112336] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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38
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Kannan R, Przekwas A. A multiscale absorption and transit model for oral drug delivery: Formulation and applications during fasting conditions. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2020; 36:e3317. [PMID: 32011090 DOI: 10.1002/cnm.3317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 01/13/2020] [Accepted: 01/24/2020] [Indexed: 06/10/2023]
Abstract
Most Food and Drug Administration (FDA)-approved drugs are administered orally, despite the complex process of oral drug absorption that is difficult to analyze experimentally. Oral bioavailability is dependent on the drug compound as well as the physiological and anatomical states of the user. Thus, computational models have emerged to mechanistically capture and predict the oral absorption process. The current models are generally 0D compartmental models and are limited by (a) simplified physiological characteristics of the gastrointestinal tract (GIT), (b) semiempirical/analytical dissolution profiles of the tested drugs, (c) incorrect absorption for some drug BCS classes (class IIa, for example), (d) GITs size variability among population, (e) incorrectly predicting the absorption of drugs that are GIT target specific, and (f) erroneous mixing in the domain. In this study, we have developed a multiscale absorption and transit (MAT) toolkit to simulate the dissolution, transport, absorption, distribution, metabolism, and elimination of orally administered drugs in the human GIT at multiple levels. MAT was constructed by integrating the spatially accurate first-principles driven high-fidelity drug transport, dissolution, and absorption model in the human stomach and GIT using our recently published quasi-3D (Q3D) framework. The process integrated the multilayer intestine physiologically based pharmacokinetics models with the whole-body compartmental models to predict the systemic pharmacokinetics of oral drugs. The computational results showed that this multiscale tool was able to match the experimental concentration results (individual and population) better than the traditional compartmental models. Ultimately, MAT will be developed into a commercial product to meet urgent demands from pharmaceutical and biomedical industries.
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Affiliation(s)
| | - Andrzej Przekwas
- Research Department, CFD Research Corporation, Huntsville, Alabama
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39
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Dissolution behavior of various drugs in different FaSSIF versions. Eur J Pharm Sci 2020; 142:105138. [DOI: 10.1016/j.ejps.2019.105138] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 10/24/2019] [Accepted: 11/03/2019] [Indexed: 11/23/2022]
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40
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Eedara BB, Tucker IG, Das SC. A STELLA simulation model for in vitro dissolution testing of respirable size particles. Sci Rep 2019; 9:18522. [PMID: 31811249 PMCID: PMC6898627 DOI: 10.1038/s41598-019-55164-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 11/25/2019] [Indexed: 11/09/2022] Open
Abstract
In vitro dissolution testing is a useful quality control tool to discriminate the formulations and to approximate the in vivo drug release profiles. A dissolution apparatus has been custom-made for dissolution testing of dry powder formulations in a small volume of stationary medium (25 μL spread over 4.91 cm2 area i.e. ~50 μm thick). To understand the system and predict the key parameters which influence the dissolution of respirable size particles, a simulation model was constructed using STELLA modeling software. Using this model, the permeation (dissolution followed by diffusion through the membrane) of two anti-tubercular drugs of differing solubilities, moxifloxacin (17.68 ± 0.85 mg mL-1) and ethionamide (0.46 ± 0.02 mg mL-1), from the respirable size particles and their diffusion from a solution were simulated. The simulated permeation profiles of moxifloxacin from solution and respirable size particles were similar, indicating fast dissolution of the particles. However, the simulated permeation profile of ethionamide from respirable size particles showed slower permeation compared to the solution indicating the slow dissolution of the respirable size particles of ethionamide. The sensitivity analysis suggested that increased mucus volume and membrane thickness decreased the permeation of drug. While this model was useful in predicting and distinguishing the dissolution behaviours of respirable size moxifloxacin and ethionamide, further improvement could be made using appropriate initial parameter values obtained by experiments.
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Affiliation(s)
- Basanth Babu Eedara
- School of Pharmacy, University of Otago, 18 Frederick St, Dunedin, 9054, New Zealand
| | - Ian G Tucker
- School of Pharmacy, University of Otago, 18 Frederick St, Dunedin, 9054, New Zealand.
| | - Shyamal C Das
- School of Pharmacy, University of Otago, 18 Frederick St, Dunedin, 9054, New Zealand.
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41
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Pinto JMO, Leão AF, Alves GF, Mendes C, França MT, Fernandes D, Stulzer HK. New supersaturating drug delivery system as strategy to improve apparent solubility of candesartan cilexetil in biorelevant medium. Pharm Dev Technol 2019; 25:89-99. [DOI: 10.1080/10837450.2019.1675171] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
| | - Aline Franciane Leão
- Programa de Pós-Graduação em Farmácia, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Gustavo Ferreira Alves
- Programa de Pós-Graduação em Farmacologia, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Cassiana Mendes
- Programa de Pós-Graduação em Farmácia, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Maria Terezinha França
- Programa de Pós-Graduação em Farmácia, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Daniel Fernandes
- Programa de Pós-Graduação em Farmacologia, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Hellen Karine Stulzer
- Programa de Pós-Graduação em Farmácia, Universidade Federal de Santa Catarina, Florianópolis, Brazil
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Huang W, Isoherranen N. Sampling Site Has a Critical Impact on Physiologically Based Pharmacokinetic Modeling. J Pharmacol Exp Ther 2019; 372:30-45. [PMID: 31604807 DOI: 10.1124/jpet.119.262154] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Accepted: 10/09/2019] [Indexed: 12/11/2022] Open
Abstract
It has been shown that arterial (central) and venous (peripheral) plasma drug concentrations can be very different. While pharmacokinetic studies typically measure drug concentrations from the peripheral vein such as the arm vein, physiologically based pharmacokinetic (PBPK) models generally output simulated concentrations from the central venous compartment that physiologically represents the right atrium, a merge of the superior and inferior vena cava. In this study, a physiologically based peripheral forearm sampling site model was developed and verified using nicotine, ketamine, lidocaine, and fentanyl as model drugs. This verified model allows output of simulated peripheral venous concentrations that can be meaningfully compared with observed pharmacokinetic data from the arm vein. The generalized effect of PBPK model sampling site on simulation output was investigated. Drugs and metabolites with large volumes of distribution showed considerable concentration discrepancy between the simulated central venous compartment and the peripheral arm vein after intravenous or oral administration, resulting in significant differences in values for C max and time taken to reach C max (t max ) In addition, the simulated central venous metabolite profile showed an unexpected profile that was not observed in the peripheral arm vein. Using fentanyl as a model compound, we show that using the wrong sampling site in PBPK models can lead to biased model evaluation and subsequent erroneous model parameter optimization. Such an error in model parameters along with the discrepant sampling site could dramatically mislead the pharmacokinetic prediction in unstudied clinical scenarios, affecting the assessment of drug safety and efficacy. Overall, this study shows that PBPK model publications should specify the model sampling sites and match them with those employed in clinical studies. SIGNIFICANCE STATEMENT: Our study shows that sampling from the central venous compartment (right atrium) during physiologically based pharmacokinetic model development gives rise to biased model evaluation and erroneous model parameterization when observed data are collected from the peripheral arm vein. This can lead to a clinically significant error in predictions of plasma concentration-time profiles in unstudied scenarios. To address this error, we developed and verified a novel peripheral sampling site model to simulate arm vein drug concentrations that can be applied to different drug dosing scenarios.
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Affiliation(s)
- Weize Huang
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington
| | - Nina Isoherranen
- Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington
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43
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Lan L, Zhang Y, Zhang M, Sun G. Evaluation of the quality of compound liquorice tablets by DSC and HPLC fingerprints assisted with dissolution. J Pharm Biomed Anal 2019; 175:112715. [DOI: 10.1016/j.jpba.2019.06.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Accepted: 06/08/2019] [Indexed: 12/13/2022]
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Kambayashi A, Kiyota T, Fujiwara M, Dressman JB. PBPK modeling coupled with biorelevant dissolution to forecast the oral performance of amorphous solid dispersion formulations. Eur J Pharm Sci 2019; 135:83-90. [DOI: 10.1016/j.ejps.2019.05.013] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 04/23/2019] [Accepted: 05/21/2019] [Indexed: 10/26/2022]
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45
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Berben P, Ashworth L, Beato S, Bevernage J, Bruel JL, Butler J, Dressman J, Schäfer K, Hutchins P, Klumpp L, Mann J, Nicolai J, Ojala K, Patel S, Powell S, Rosenblatt K, Tomaszewska I, Williams J, Augustijns P. Biorelevant dissolution testing of a weak base: Interlaboratory reproducibility and investigation of parameters controlling in vitro precipitation. Eur J Pharm Biopharm 2019; 140:141-148. [DOI: 10.1016/j.ejpb.2019.04.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 02/27/2019] [Accepted: 04/29/2019] [Indexed: 12/19/2022]
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46
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Successful oral delivery of poorly water-soluble drugs both depends on the intraluminal behavior of drugs and of appropriate advanced drug delivery systems. Eur J Pharm Sci 2019; 137:104967. [PMID: 31252052 DOI: 10.1016/j.ejps.2019.104967] [Citation(s) in RCA: 177] [Impact Index Per Article: 35.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 05/27/2019] [Accepted: 06/21/2019] [Indexed: 12/11/2022]
Abstract
Poorly water-soluble drugs continue to be a problematic, yet important class of pharmaceutical compounds for treatment of a wide range of diseases. Their prevalence in discovery is still high, and their development is usually limited by our lack of a complete understanding of how the complex chemical, physiological and biochemical processes that occur between administration and absorption individually and together impact on bioavailability. This review defines the challenge presented by these drugs, outlines contemporary strategies to solve this challenge, and consequent in silico and in vitro evaluation of the delivery technologies for poorly water-soluble drugs. The next steps and unmet needs are proposed to present a roadmap for future studies for the field to consider enabling progress in delivery of poorly water-soluble compounds.
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Charalabidis A, Sfouni M, Bergström C, Macheras P. The Biopharmaceutics Classification System (BCS) and the Biopharmaceutics Drug Disposition Classification System (BDDCS): Beyond guidelines. Int J Pharm 2019; 566:264-281. [PMID: 31108154 DOI: 10.1016/j.ijpharm.2019.05.041] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 05/13/2019] [Accepted: 05/14/2019] [Indexed: 01/10/2023]
Abstract
The recent impact of the Biopharmaceutics Classification System (BCS) and the Biopharmaceutics Drug Disposition Classification System (BDDCS) on relevant scientific advancements is discussed. The major advances associated with the BCS concern the extensive work on dissolution of poorly absorbed BCS class II drugs in nutritional liquids (e.g. milk, peanut oil) and biorelevant media for the accurate prediction of the rate and the extent of oral absorption. The use of physiologically based pharmacokinetic (PBPK) modeling as predictive tool for bioavailability is also presented. Since recent dissolution studies demonstrate that the two mechanisms (diffusion- and reaction-limited dissolution) take place simultaneously, the neglected reaction-limited dissolution models are discussed, regarding the biopharmaceutical classification of drugs. Solubility- and dissolution-enhancing formulation strategies based on the supersaturation principle to enhance the extent of drug absorption, along with the applications of the BDDCS to the understanding of disposition phenomena are reviewed. Finally, recent classification systems relevant either to the BCS or the BDDCS are presented. These include: i) a model independent approach based on %metabolism and the fulfilment (or not) of the current regulatory dissolution criteria, ii) the so called ΑΒΓ system, a continuous version of the BCS, and iii) the so-called Extended Clearance Classification System (ECCS). ECCS uses clearance concepts (physicochemical properties and membrane permeability) to classify compounds and differentiates from BDDCS by bypassing the measure of solubility (based on the assumption that since it inter-correlates with lipophilicity, it is not directly relevant to clearance mechanisms or elimination).
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Affiliation(s)
- Aggelos Charalabidis
- Laboratory of Pharmacognosy, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Greece
| | - Maria Sfouni
- Laboratory of Biopharmaceutics and Pharmacokinetics, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Greece
| | - Christel Bergström
- Department of Pharmacy, Uppsala University, BMC P.O. Box 580, SE-751 23 Uppsala, Sweden
| | - Panos Macheras
- Laboratory of Biopharmaceutics and Pharmacokinetics, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Greece; PharmaInformatics Unit, Research Center ATHENA, Athens, Greece; Department of Pharmaceutical Sciences, State University of New York (SUNY), Buffalo, USA.
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Lee D, Ha E, Ha D, Sim W, Choi J, Kim M, Cho C, Hwang S. Effect of Polymer Type on the Dissolution Profile of a Solid Dispersion of Cilostazol. B KOREAN CHEM SOC 2019. [DOI: 10.1002/bkcs.11683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Deokkeun Lee
- College of PharmacyChungnam National University Daejeon 305‐764 South Korea
| | - Eun‐Sol Ha
- College of PharmacyPusan National University Busan 609‐735 South Korea
| | - Dong‐Hyeon Ha
- College of PharmacyPusan National University Busan 609‐735 South Korea
| | - Woo‐Yong Sim
- College of PharmacyPusan National University Busan 609‐735 South Korea
| | - Ji‐Eun Choi
- PRIME College of Interdisciplinary & Creative StudiesKonyang University Nonsan 32992 South Korea
| | - Min‐Soo Kim
- College of PharmacyPusan National University Busan 609‐735 South Korea
| | - Cheong‐Weon Cho
- College of PharmacyChungnam National University Daejeon 305‐764 South Korea
| | - Sung‐Joo Hwang
- College of Pharmacy and Yonsei Institute of Pharmaceutical SciencesYonsei University Incheon 406‐840 Republic of Korea
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49
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Mehta CH, Narayan R, Nayak UY. Computational modeling for formulation design. Drug Discov Today 2019; 24:781-788. [DOI: 10.1016/j.drudis.2018.11.018] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 11/10/2018] [Accepted: 11/22/2018] [Indexed: 10/27/2022]
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50
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Stewart A, Yates I, Mudie D, Pivette P, Goodwin A, Sarmiento A, Winter M, Morgen M, Vodak D. Mechanistic Study of Belinostat Oral Absorption From Spray-Dried Dispersions. J Pharm Sci 2018; 108:326-336. [PMID: 30300620 DOI: 10.1016/j.xphs.2018.09.031] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 09/14/2018] [Accepted: 09/28/2018] [Indexed: 02/03/2023]
Abstract
Spray-dried dispersions (SDDs) are an important technology for enhancing the oral bioavailability of poorly water-soluble drugs. To design an effective oral SDD formulation, the key rate-determining step(s) for oral drug absorption must be understood. This work combined in vivo and in vitro tests with in silico modeling to identify the rate-determining steps for oral absorption of belinostat SDDs made with 3 different polymers (PVP K30, PVP VA64, and HPMCAS-M). The goal was developing a belinostat SDD formulation that maximizes oral bioavailability (ideally matching the performance of a belinostat oral solution) and defining critical performance attributes for formulation optimization. The in vivo pharmacokinetic study with beagle dogs demonstrated that 1 of the 3 SDDs (PVP K30 SDD) matched the performance of the oral solution. In vitro data coupled with in silico modeling elucidated differences among the SDDs and supported the hypothesis that absorption of belinostat in the small intestine from the other 2 SDDs (PVP VA64 and HPMCAS-M) may be limited by dissolution rate or reduced drug activity (maximum concentration) in the presence of polymer. It was concluded that drug concentration in the stomach before emptying into the proximal intestine is a key factor for maximizing in vivo performance.
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Affiliation(s)
- Aaron Stewart
- Drug Product Development and Innovation, Lonza Pharma and Biotech, Bend, Oregon 97703
| | - Ian Yates
- Dosage Form and Delivery Services, Lonza Pharma and Biotech, Bend, Oregon 97703
| | - Deanna Mudie
- Drug Product Development and Innovation, Lonza Pharma and Biotech, Bend, Oregon 97703.
| | - Perrine Pivette
- Onxeo, 49 Boulevard du Général Martial Valin, Paris 75015, France
| | - Aaron Goodwin
- Drug Product Development and Innovation, Lonza Pharma and Biotech, Bend, Oregon 97703
| | - Alyssa Sarmiento
- Dosage Form and Delivery Services, Lonza Pharma and Biotech, Bend, Oregon 97703
| | - Marcus Winter
- Dosage Form and Delivery Services, Lonza Pharma and Biotech, Bend, Oregon 97703
| | - Michael Morgen
- Drug Product Development and Innovation, Lonza Pharma and Biotech, Bend, Oregon 97703
| | - David Vodak
- Drug Product Development and Innovation, Lonza Pharma and Biotech, Bend, Oregon 97703
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