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Kum OK, Chan KM, Morningstar-Kywi N, MacKay JA, Haworth IS. Pharmacokinetic model of human exposure to ciprofloxacin through consumption of fish. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2024; 106:104359. [PMID: 38163528 DOI: 10.1016/j.etap.2023.104359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/28/2023] [Indexed: 01/03/2024]
Abstract
Fluoroquinolones are broad-spectrum antibiotics that accumulate in the environment. To assess human exposure through the food chain, we developed a pharmacokinetic model of fluoroquinolone accumulation in fish and a human pharmacokinetic model to predict gastrointestinal concentrations of ciprofloxacin, a common fluoroquinolone, following consumption of fish. At 70 ng/L ciprofloxacin, the average in North American surface waters, the fish steady-state concentration was calculated to be 7.5 × 10-6 µg/g. Upon human consumption of the FDA-recommended portion of 113 g of fish containing this ciprofloxacin level, the predicted human intestinal concentration was 2 × 10-6 µg/mL. At 4 × 106 ng/L (4 µg/mL) ciprofloxacin, the highest recorded environmental measurement, these numbers were 0.42 µg/g in fish and 0.1 µg/mL in the human intestine. Thus, based on the ciprofloxacin MIC for E. coli of 0.13 µg/mL, background environmental ciprofloxacin levels are unlikely to be problematic, but environmental pollution can result in high intestinal levels that may cause gut dysbiosis and antibiotic resistance.
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Affiliation(s)
- Oguz Kaan Kum
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90089, United States
| | - Karen M Chan
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90089, United States
| | - Noam Morningstar-Kywi
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90089, United States; Simulations Plus, Inc., Lancaster, CA 93534, United States
| | - J Andrew MacKay
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90089, United States
| | - Ian S Haworth
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, 1985 Zonal Avenue, Los Angeles, CA 90089, United States.
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Kluwe F, Michelet R, Huisinga W, Zeitlinger M, Mikus G, Kloft C. Towards Model-Informed Precision Dosing of Voriconazole: Challenging Published Voriconazole Nonlinear Mixed-Effects Models with Real-World Clinical Data. Clin Pharmacokinet 2023; 62:1461-1477. [PMID: 37603216 PMCID: PMC10520167 DOI: 10.1007/s40262-023-01274-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND AND OBJECTIVES Model-informed precision dosing (MIPD) frequently uses nonlinear mixed-effects (NLME) models to predict and optimize therapy outcomes based on patient characteristics and therapeutic drug monitoring data. MIPD is indicated for compounds with narrow therapeutic range and complex pharmacokinetics (PK), such as voriconazole, a broad-spectrum antifungal drug for prevention and treatment of invasive fungal infections. To provide guidance and recommendations for evidence-based application of MIPD for voriconazole, this work aimed to (i) externally evaluate and compare the predictive performance of a published so-called 'hybrid' model for MIPD (an aggregate model comprising features and prior information from six previously published NLME models) versus two 'standard' NLME models of voriconazole, and (ii) investigate strategies and illustrate the clinical impact of Bayesian forecasting for voriconazole. METHODS A workflow for external evaluation and application of MIPD for voriconazole was implemented. Published voriconazole NLME models were externally evaluated using a comprehensive in-house clinical database comprising nine voriconazole studies and prediction-/simulation-based diagnostics. The NLME models were applied using different Bayesian forecasting strategies to assess the influence of prior observations on model predictivity. RESULTS The overall best predictive performance was obtained using the aggregate model. However, all NLME models showed only modest predictive performance, suggesting that (i) important PK processes were not sufficiently implemented in the structural submodels, (ii) sources of interindividual variability were not entirely captured, and (iii) interoccasion variability was not adequately accounted for. Predictive performance substantially improved by including the most recent voriconazole observations in MIPD. CONCLUSION Our results highlight the potential clinical impact of MIPD for voriconazole and indicate the need for a comprehensive (pre-)clinical database as basis for model development and careful external model evaluation for compounds with complex PK before their successful use in MIPD.
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Affiliation(s)
- Franziska Kluwe
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Kelchstraße 31, 12169 Berlin, Germany
- Graduate Research Training Program PharMetrX, Berlin/Potsdam, Germany
| | - Robin Michelet
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Kelchstraße 31, 12169 Berlin, Germany
| | - Wilhelm Huisinga
- Institute of Mathematics, University of Potsdam, Karl-Liebknecht-Str. 24/25, 14476 Potsdam, Germany
| | - Markus Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Gerd Mikus
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Kelchstraße 31, 12169 Berlin, Germany
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital Heidelberg, Im Neuenheimer Feld 419, 69120 Heidelberg, Germany
| | - Charlotte Kloft
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Kelchstraße 31, 12169 Berlin, Germany
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3
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Demeester C, Robins D, Edwina AE, Tournoy J, Augustijns P, Ince I, Lehmann A, Vertzoni M, Schlender JF. Physiologically based pharmacokinetic (PBPK) modelling of oral drug absorption in older adults - an AGePOP review. Eur J Pharm Sci 2023; 188:106496. [PMID: 37329924 DOI: 10.1016/j.ejps.2023.106496] [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: 03/28/2023] [Revised: 06/06/2023] [Accepted: 06/14/2023] [Indexed: 06/19/2023]
Abstract
The older population consisting of persons aged 65 years or older is the fastest-growing population group and also the major consumer of pharmaceutical products. Due to the heterogenous ageing process, this age group shows high interindividual variability in the dose-exposure-response relationship and, thus, a prediction of drug safety and efficacy is challenging. Although physiologically based pharmacokinetic (PBPK) modelling is a well-established tool to inform and confirm drug dosing strategies during drug development for special population groups, age-related changes in absorption are poorly accounted for in current PBPK models. The purpose of this review is to summarise the current state-of-knowledge in terms of physiological changes with increasing age that can influence the oral absorption of dosage forms. The capacity of common PBPK platforms to incorporate these changes and describe the older population is also discussed, as well as the implications of extrinsic factors such as drug-drug interactions associated with polypharmacy on the model development process. The future potential of this field will rely on addressing the gaps identified in this article, which can subsequently supplement in-vitro and in-vivo data for more robust decision-making on the adequacy of the formulation for use in older adults and inform pharmacotherapy.
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Affiliation(s)
- Cleo Demeester
- Systems Pharmacology & Medicine, Pharmaceuticals, Bayer AG, Leverkusen 51373, Germany; Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Gasthuisberg O&N II, Leuven, Belgium
| | - Donnia Robins
- Global CMC Development, Merck KGaA, Frankfurter Straße 250, Darmstadt, Germany; Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Zografou, Greece
| | - Angela Elma Edwina
- Gerontology and Geriatrics Unit, Department of Public Health and Primary care, KU Leuven - University of Leuven, Leuven, Belgium
| | - Jos Tournoy
- Gerontology and Geriatrics Unit, Department of Public Health and Primary care, KU Leuven - University of Leuven, Leuven, Belgium; Department of Geriatric Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Patrick Augustijns
- Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Gasthuisberg O&N II, Leuven, Belgium
| | - Ibrahim Ince
- Systems Pharmacology & Medicine, Pharmaceuticals, Bayer AG, Leverkusen 51373, Germany
| | - Andreas Lehmann
- Global CMC Development, Merck KGaA, Frankfurter Straße 250, Darmstadt, Germany
| | - Maria Vertzoni
- Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Zografou, Greece
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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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Morcos PN, Schlender J, Burghaus R, Moss J, Lloyd A, Childs BH, Macy ME, Reid JM, Chung J, Garmann D. Model-informed approach to support pediatric dosing for the pan-PI3K inhibitor copanlisib in children and adolescents with relapsed/refractory solid tumors. Clin Transl Sci 2023; 16:1197-1209. [PMID: 37042099 PMCID: PMC10339701 DOI: 10.1111/cts.13523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/21/2023] [Accepted: 03/17/2023] [Indexed: 04/13/2023] Open
Abstract
Copanlisib is an intravenously administered phosphatidylinositol 3-kinase (PI3K) inhibitor which was investigated in pediatric patients with relapsed/refractory solid tumors. A model-informed approach was undertaken to support and confirm an empirically selected starting dose of 28 mg/m2 for pediatric patients ≥1 year old, corresponding to 80% of the adult recommended dose adjusted for body surface area. An adult physiologically based pharmacokinetic (PBPK) model was initially established using copanlisib physicochemical and disposition properties and clinical pharmacokinetics (PK) data and was shown to adequately capture clinical PK across a range of copanlisib doses in adult cancer patients. The adult PBPK model was then extended to the pediatric population through incorporation of age-dependent anatomical and physiological changes and used to simulate copanlisib exposures in pediatric cancer patient age groups. The pediatric PBPK model predicted that the copanlisib 28 mg/m2 dose would achieve similar copanlisib exposures across pediatric ages when compared with historical adult exposures following the approved copanlisib 60 mg dose administered on Days 1, 8, and 15 of a 28-day cycle. Clinical PK were collected from a phase I study in pediatric patients with relapsed/refractory solid tumors (aged ≥4 years). An established adult population PK model was extended to incorporate an allometrically-scaled effect of body surface area and confirmed that the copanlisib maximum tolerated dose of 28 mg/m2 was appropriate to achieve uniform copanlisib exposures across the investigated pediatric age range and consistent exposures to historical data in adult cancer patients. The model-informed approach successfully supported and confirmed the copanlisib pediatric dose recommendation.
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Affiliation(s)
| | - Jan Schlender
- Pharmacometrics/Modeling & Simulation, Pharmaceuticals DivisionBayer AGWuppertalGermany
| | - Rolf Burghaus
- Pharmacometrics/Modeling & Simulation, Pharmaceuticals DivisionBayer AGWuppertalGermany
| | | | | | | | - Margaret E. Macy
- Department of Pediatrics, University of Colorado and Center for Cancer and Blood DisordersChildren's Hospital ColoradoAuroraColoradoUSA
| | - Joel M. Reid
- Department of PharmacologyMayo Clinic Graduate School of Biomedical SciencesRochesterMinnesotaUSA
| | - John Chung
- Bayer HealthCare Pharmaceuticals, Inc.WhippanyNew JerseyUSA
| | - Dirk Garmann
- Pharmacometrics/Modeling & Simulation, Pharmaceuticals DivisionBayer AGWuppertalGermany
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Hozuki S, Yoshioka H, Asano S, Nakamura M, Koh S, Shibata Y, Tamemoto Y, Sato H, Hisaka A. Integrated Use of In Vitro and In Vivo Information for Comprehensive Prediction of Drug Interactions Due to Inhibition of Multiple CYP Isoenzymes. Clin Pharmacokinet 2023; 62:849-860. [PMID: 37076696 DOI: 10.1007/s40262-023-01234-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2023] [Indexed: 04/21/2023]
Abstract
BACKGROUND Mechanistic static pharmacokinetic (MSPK) models are simple, have fewer data requirements, and have broader applicability; however, they cannot use in vitro information and cannot distinguish the contributions of multiple cytochrome P450 (CYP) isoenzymes and the hepatic and intestinal first-pass effects appropriately. We aimed to establish a new MSPK analysis framework for the comprehensive prediction of drug interactions (DIs) to overcome these disadvantages. METHODS Drug interactions that occurred by inhibiting CYP1A2, CYP2C9, CYP2C19, CYP2D6, and CYP3A in the liver and CYP3A in the intestine were simultaneously analyzed for 59 substrates and 35 inhibitors. As in vivo information, the observed changes in the area under the concentration-time curve (AUC) and elimination half-life (t1/2), hepatic availability, and urinary excretion ratio were used. As in vitro information, the fraction metabolized (fm) and the inhibition constant (Ki) were used. The contribution ratio (CR) and inhibition ratio (IR) for multiple clearance pathways and hypothetical volume (VHyp) were inferred using the Markov Chain Monte Carlo (MCMC) method. RESULT Using in vivo information from 239 combinations and in vitro 172 fm and 344 Ki values, changes in AUC, and t1/2 were estimated for all 2065 combinations, wherein the AUC was estimated to be more than doubled for 602 combinations. Intake-dependent selective intestinal CYP3A inhibition by grapefruit juice has been suggested. By separating the intestinal contributions, DIs after intravenous dosing were also appropriately inferred. CONCLUSION This framework would be a powerful tool for the reasonable management of various DIs based on all available in vitro and in vivo information.
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Affiliation(s)
- Shizuka Hozuki
- Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Hideki Yoshioka
- Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Satoshi Asano
- Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
- Toxicology and DMPK Research Department, Teijin Pharma Limited, Tokyo, Japan
| | - Mikiko Nakamura
- Pharmaceutical Science Department, Translational Research Division, Chugai Pharmaceutical Co., LTD., Tokyo, Japan
| | - Saori Koh
- Laboratory for Safety Assessment and ADME, Asahi Kasei Pharma Corporation, Tokyo, Japan
| | - Yukihiro Shibata
- Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
- Regulatory Science/Medicinal Safety Science, Graduate School of Pharmaceutical Sciences, Nagoya City University, Nagoya, Japan
| | - Yuta Tamemoto
- Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Hiromi Sato
- Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Akihiro Hisaka
- Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
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Changes in antibiotic residues and the gut microbiota during ciprofloxacin administration throughout Silkie chicken development. Poult Sci 2022; 102:102267. [PMID: 36442306 PMCID: PMC9709234 DOI: 10.1016/j.psj.2022.102267] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 10/14/2022] [Accepted: 10/14/2022] [Indexed: 11/23/2022] Open
Abstract
The use of antibiotics leads to antibiotic residues in livestock and poultry products, adversely affecting human health. Ciprofloxacin (CFX) is a broad-spectrum antibiotic shared between animals and humans that is useful in treatments besides infections. However, changes in the gut microbiota caused by CFX and the possible link with the elimination of CFX residues have not been investigated. Herein, we used the Silkie chicken model to study the changes in the gut microbiota during the entire CFX-metabolic repertoire. We detected CFX residues in different tissues and showed that the elimination time of CFX from different tissues was dissimilar (liver > kidney > chest muscle > skin). Analysis of liver and kidney injury biomarkers and plasma antioxidant indices indicated slight hepatotoxicity and nephrotoxicity in the Silkie chickens. Importantly, the changes in the gut microbial community predominantly occurred early in the metabolic process. Correlation analysis revealed that the particular bacterial microbiota were associated with the pharmacokinetics of CFX in different Silkie chicken tissues (e.g., aerobic bacteria, including Escherichia and Coprococcus, and anaerobic bacteria, including Fusobacterium, Ruminococcus, Bifidobacterium, and Eubacterium). Collectively, certain microbiota may boost antibiotic metabolism and participate in restoring the microbial consortia after CFX is metabolized. Therefore, regulating the core intestinal microbiota may reduce foodborne antibiotics and accelerate the development of drug resistance.
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Salem F, Small BG, Johnson TN. Development and application of a pediatric mechanistic kidney model. CPT Pharmacometrics Syst Pharmacol 2022; 11:854-866. [PMID: 35506351 PMCID: PMC9286721 DOI: 10.1002/psp4.12798] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 11/19/2022] Open
Abstract
Pediatric physiologically‐based pharmacokinetic (P‐PBPK) models have been used to predict age related changes in the pharmacokinetics (PKs) of renally cleared drugs mainly in relation to changes in glomerular filtration rate. With emerging data on ontogeny of renal transporters, mechanistic models of renal clearance accounting for the role of active and passive secretion should be developed and evaluated. Data on age‐related physiological changes and ontogeny of renal transporters were applied into a mechanistic kidney within a P‐PBPK model. Plasma concentration–time profile and PK parameters of cimetidine, ciprofloxacin, metformin, tenofovir, and zidovudine were predicted in subjects aged 1 day to 18 years. The predicted and observed plasma concentration–time profiles and PK parameters were compared. The predicted concentration–time profile means and 5th and 95th percent intervals generally captured the observed data and variability in various studies. Overall, based on drugs and age bands, predicted to observed clearance were all within two‐fold and in 11 of 16 cases within 1.5‐fold. Predicted to observed area under the curve (AUC) and maximum plasma concentration (Cmax) were within two‐fold in 12 of 14 and 12 of 15 cases, respectively. Predictions in neonates and early infants (up to 14 weeks postnatal age) were reasonable with 15–20 predicted PK parameters within two‐fold of the observed. ciprofloxacin but not zidovudine PK predictions were sensitive to basal kidney uptake transporter ontogeny. The results indicate that a mechanistic kidney model accounting for physiology and ontogeny of renal processes and transporters can predict the PK of renally excreted drugs in children. Further data especially in neonates are required to verify the model and ontogeny profiles.
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Affiliation(s)
- Farzaneh Salem
- Drug Metabolism and Pharmacokinetics GlaxoSmithKline R&D Ware UK
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9
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Dubinsky S, Malik P, Hajducek DM, Edginton A. Determining the Effects of Chronic Kidney Disease on Organic Anion Transporter1/3 Activity Through Physiologically Based Pharmacokinetic Modeling. Clin Pharmacokinet 2022; 61:997-1012. [PMID: 35508593 DOI: 10.1007/s40262-022-01121-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/06/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND OBJECTIVE The renal excretion of drugs via organic anion transporters 1 and 3 (OAT1/3) is significantly decreased in patients with renal impairment. This study uses physiologically based pharmacokinetic models to quantify the reduction in OAT1/3-mediated secretion of drugs throughout varying stages of chronic kidney disease. METHODS Physiologically based pharmacokinetic models were constructed for four OAT1/3 substrates in healthy individuals: acyclovir, meropenem, furosemide, and ciprofloxacin. Observed data from drug-drug interaction studies with probenecid, a potent OAT1/3 inhibitor, were used to parameterize the contribution of OAT1/3 to the renal elimination of each drug. The models were then translated to patients with chronic kidney disease by accounting for changes in glomerular filtration rate, kidney volume, renal blood flow, plasma protein binding, and hematocrit. Additionally, a relationship was derived between the estimated glomerular filtration rate and the reduction in OAT1/3-mediated secretion of drugs based on the renal extraction ratios of ƿ-aminohippuric acid in patients with varying degrees of renal impairment. The relationship was evaluated in silico by evaluating the predictive performance of each final model in describing the pharmacokinetics (PK) of drugs across stages of chronic kidney disease. RESULTS OAT1/3-mediated renal excretion of drugs was found to be decreased by 27-49%, 50-68%, and 70-96% in stage 3, stage 4, and stage 5 of chronic kidney disease, respectively. In support of the parameterization, physiologically based pharmacokinetic models of four OAT1/3 substrates were able to adequately characterize the PK in patients with different degrees of renal impairment. Total exposure after intravenous administration was predicted within a 1.5-fold error and 85% of the observed data points fell within a 1.5-fold prediction error. The models modestly under-predicted plasma concentrations in patients with end-stage renal disease undergoing intermittent hemodialysis. However, results should be interpreted with caution because of the limited number of molecules analyzed and the sparse sampling in observed chronic kidney disease pharmacokinetic studies. CONCLUSIONS A quantitative understanding of the reduction in OAT1/3-mediated excretion of drugs in differing stages of renal impairment will contribute to better predictive accuracy for physiologically based pharmacokinetic models in drug development, assisting with clinical trial planning and potentially sparing this population from unnecessary toxic exposures.
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Affiliation(s)
- Samuel Dubinsky
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | - Paul Malik
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada
| | | | - Andrea Edginton
- School of Pharmacy, University of Waterloo, Waterloo, ON, Canada.
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10
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Shi C, Ignjatović J, Wang J, Guo Y, Zhang L, Cvijić S, Cun D, Yang M. Evaluating the pharmacokinetics of intrapulmonary administered ciprofloxacin solution for respiratory infections using in vivo and in silico PBPK rat model studies. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.04.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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11
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Cho CK, Park HJ, Kang P, Moon S, Lee YJ, Bae JW, Jang CG, Lee SY. Physiologically based pharmacokinetic (PBPK) modeling of meloxicam in different CYP2C9 genotypes. Arch Pharm Res 2021; 44:1076-1090. [PMID: 34807366 DOI: 10.1007/s12272-021-01361-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 11/03/2021] [Indexed: 12/26/2022]
Abstract
Meloxicam, a non-steroidal anti-inflammatory drug, is used for the treatment of rheumatoid arthritis and osteoarthritis. Cytochrome P450 (CYP) 2C9 and CYP3A4 are major and minor enzymes involved in the metabolism of meloxicam. Impaired enzyme activity of CYP2C9 variants increases the plasma exposures of meloxicam and the risk of adverse events. The objective of our study is to develop and validate the physiologically based pharmacokinetic (PBPK) model of meloxicam related to CYP2C9 genetic polymorphism using the PK-Sim® software. In vitro kcat of CYP2C9 was optimized in different CYP2C9 genotypes. The demographic and pharmacokinetic dataset for the development of the PBPK model was extracted from two previous clinical pharmacokinetic studies. Thirty-one clinical datasets, representing different dose regimens and demographic characteristics, were utilized to validate the PBPK model. The shapes of simulated plasma concentration-time profiles in each CYP2C9 genotype were visually similar to observed profiles. The predicted exposures (AUCinf) of meloxicam in CYP2C9*1/*3, CYP2C9*1/*13, and CYP2C9*3/*3 genotypes were increased by 1.77-, 2.91-, and 8.35-fold compared to CYP2C9*1/*1 genotype, respectively. In all datasets for the development and validations, fold errors between predicted and observed pharmacokinetic parameters were within the two-fold error criteria. As a result, the PBPK model was appropriately established and properly described the pharmacokinetics of meloxicam in different CYP2C9 genotypes. This study is expected to contribute to reducing the risk of adverse events of meloxicam through optimization of meloxicam dosing in different CYP2C9 genotypes.
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Affiliation(s)
- Chang-Keun Cho
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Hye-Jung Park
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Pureum Kang
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Sungmin Moon
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Yun Jeong Lee
- College of Pharmacy, Dankook University, Cheonan, 31116, Republic of Korea
| | - Jung-Woo Bae
- College of Pharmacy, Keimyung University, Daegu, 42601, Republic of Korea.
| | - Choon-Gon Jang
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Seok-Yong Lee
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
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12
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Gompelman M, Jager NGL, Wallenburg E, Brüggemann RJM, Bleeker-Rovers CP, Wanten GJA. Oral Antibiotics in Patients with Short Bowel Syndrome: Do or Don't? Eur J Drug Metab Pharmacokinet 2021; 46:821-823. [PMID: 34491533 DOI: 10.1007/s13318-021-00715-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Michelle Gompelman
- Intestinal Failure Unit, Department of Gastroenterology and Hepatology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6500 HB, Nijmegen, The Netherlands.
| | - Nynke G L Jager
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Eveline Wallenburg
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Roger J M Brüggemann
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Internal Medicine, Division of Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Chantal P Bleeker-Rovers
- Department of Internal Medicine, Division of Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Geert J A Wanten
- Intestinal Failure Unit, Department of Gastroenterology and Hepatology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6500 HB, Nijmegen, The Netherlands
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13
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Abstract
Many adverse reactions to therapeutic drugs appear to be allergic in nature, and are thought to be triggered by patient-specific Immunoglobulin E (IgE) antibodies that recognize the drug molecules and form complexes with them that activate mast cells. However, in recent years another mechanism has been proposed, in which some drugs closely associated with allergic-type events can bypass the antibody-mediated pathway and trigger mast cell degranulation directly by activating a mast cell-specific receptor called Mas-related G protein-coupled receptor X2 (MRGPRX2). This would result in symptoms similar to IgE-mediated events, but would not require immune priming. This review will cover the frequency, severity, and dose-responsiveness of allergic-type events for several drugs shown to have MRGPRX2 agonist activity. Surprisingly, the analysis shows that mild-to-moderate events are far more common than currently appreciated. A comparison with plasma drug levels suggests that MRGPRX2 mediates many of these mild-to-moderate events. For some of these drugs, then, MRGPRX2 activation may be considered a regular and predictable feature after administration of high doses.
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Affiliation(s)
- Benjamin D. McNeil
- Division of Allergy and Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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14
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The Role of PK/PD Analysis in the Development and Evaluation of Antimicrobials. Pharmaceutics 2021; 13:pharmaceutics13060833. [PMID: 34205113 PMCID: PMC8230268 DOI: 10.3390/pharmaceutics13060833] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 12/13/2022] Open
Abstract
Pharmacokinetic/pharmacodynamic (PK/PD) analysis has proved to be very useful to establish rational dosage regimens of antimicrobial agents in human and veterinary medicine. Actually, PK/PD studies are included in the European Medicines Agency (EMA) guidelines for the evaluation of medicinal products. The PK/PD approach implies the use of in vitro, ex vivo, and in vivo models, as well as mathematical models to describe the relationship between the kinetics and the dynamic to determine the optimal dosing regimens of antimicrobials, but also to establish susceptibility breakpoints, and prevention of resistance. The final goal is to optimize therapy in order to maximize efficacy and minimize side effects and emergence of resistance. In this review, we revise the PK/PD principles and the models to investigate the relationship between the PK and the PD of antibiotics. Additionally, we highlight the outstanding role of the PK/PD analysis at different levels, from the development and evaluation of new antibiotics to the optimization of the dosage regimens of currently available drugs, both for human and animal use.
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15
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Ince I, Dallmann A, Frechen S, Coboeken K, Niederalt C, Wendl T, Block M, Meyer M, Eissing T, Burghaus R, Lippert J, Willmann S, Schlender J. Predictive Performance of Physiology-Based Pharmacokinetic Dose Estimates for Pediatric Trials: Evaluation With 10 Bayer Small-Molecule Compounds in Children. J Clin Pharmacol 2021; 61 Suppl 1:S70-S82. [PMID: 34185905 PMCID: PMC8361729 DOI: 10.1002/jcph.1869] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 03/30/2021] [Indexed: 01/16/2023]
Abstract
Development and guidance of dosing schemes in children have been supported by physiology-based pharmacokinetic (PBPK) modeling for many years. PBPK models are built on a generic basis, where compound- and system-specific parameters are separated and can be exchanged, allowing the translation of these models from adults to children by accounting for physiological differences. Owing to these features, PBPK modeling is a valuable approach to support clinical decision making for dosing in children. In this analysis, we evaluate pediatric PBPK models for 10 small-molecule compounds that were applied to support clinical decision processes at Bayer for their predictive power in different age groups. Ratios of PBPK-predicted to observed PK parameters for the evaluated drugs in different pediatric age groups were estimated. Predictive performance was analyzed on the basis of a 2-fold error range and the bioequivalence range (ie, 0.8 ≤ predicted/observed ≤ 1.25). For all 10 compounds, all predicted-to-observed PK ratios were within a 2-fold error range (n = 27), with two-thirds of the ratios within the bioequivalence range (n = 18). The findings demonstrate that the pharmacokinetics of these compounds was successfully and adequately predicted in different pediatric age groups. This illustrates the applicability of PBPK for guiding dosing schemes in the pediatric population.
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Affiliation(s)
- Ibrahim Ince
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - André Dallmann
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Sebastian Frechen
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Katrin Coboeken
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Christoph Niederalt
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Thomas Wendl
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Michael Block
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Michaela Meyer
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Thomas Eissing
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Rolf Burghaus
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Jörg Lippert
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Stefan Willmann
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
| | - Jan‐Frederik Schlender
- Pharmacometrics/Modeling and Simulation, Research and DevelopmentPharmaceuticalsBayerAGGermany
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16
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Gull HH, Karadag C, Senger B, Sorg RV, Möller P, Mellert K, Steiger HJ, Hänggi D, Cornelius JF. Ciprofloxacin enhances phototoxicity of 5-aminolevulinic acid mediated photodynamic treatment for chordoma cell lines. Photodiagnosis Photodyn Ther 2021; 35:102346. [PMID: 34038764 DOI: 10.1016/j.pdpdt.2021.102346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 04/21/2021] [Accepted: 05/14/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Chordoma are uncommon aggressive tumors of the skeleton. Surgical resection is often subtotal and adjuvant treatment possibilities are limited as chordomas are highly chemo- and radioresistant. In the present study we examined the impact of 5-ALA PDT on different human chordoma cell lines. Furthermore, we investigated the variation of two parameters: (1.) 5-ALA incubation time and (2.) supplemental use of ciprofloxacin as iron chelator. METHODS Experiments were realized in vitro with three different human chordoma cell lines: U-CH2, U-CH2B and U-CH14. After pre-incubation for 24 h with various concentrations of ciprofloxacin (1.5 - 5.0 μg/ml), different amounts of 5-ALA (15 - 50 μg/ml) were applied to the cells either for a brief (4 h) or a long (6 h) incubation time. Subsequently cells were exposed to photodynamic radiation. Cell viability was exploited by WST-1 assay. Thus, for each of the three cell lines, two drug combinations (ciprofloxacin plus 5-ALA and 5-ALA only) and two incubation times (short, 4 h and long, 6 h) were tested. Negative control groups were also examined. RESULTS Supplemental use of ciprofloxacin led to increased cell death in each of the cell lines. Different 5-ALA incubation times (4 h vs. 6 h) showed no significant differences in cell viability except for U-CH2. CONCLUSION Ciprofloxacin as an ordinary applied antibiotic, enhanced the effect of 5-ALA PDT on different human chordoma cell lines in vitro. The impact was dependent on the dose of ciprofloxacin-5-ALA. There were no notable differences for the tested 5-ALA incubation times. In human chordoma cell lines 5-ALA PDT may effectively be amended by ciprofloxacin.
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Affiliation(s)
- Hanah Hadice Gull
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Germany.
| | - Cihat Karadag
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Brigitte Senger
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Rüdiger V Sorg
- Institute for Transplantation Diagnostics and Cell Therapeutics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Peter Möller
- Institute of Pathology, University Hospital, Ulm, Germany
| | - Kevin Mellert
- Institute of Pathology, University Hospital, Ulm, Germany
| | - Hans-Jakob Steiger
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Daniel Hänggi
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Jan Frederick Cornelius
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
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17
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Cui C, Valerie Sia JE, Tu S, Li X, Dong Z, Yu Z, Yao X, Hatley O, Li H, Liu D. Development of a physiologically based pharmacokinetic (PBPK) population model for Chinese elderly subjects. Br J Clin Pharmacol 2021; 87:2711-2722. [PMID: 33068053 PMCID: PMC8359847 DOI: 10.1111/bcp.14609] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 08/31/2020] [Accepted: 10/07/2020] [Indexed: 12/11/2022] Open
Abstract
Aims This study aims to develop and verify a physiologically based pharmacokinetic (PBPK) population model for the Chinese geriatric population in Simcyp. Methods Firstly, physiological information for the Chinese geriatric population was collected and later employed to develop the Chinese geriatric population model by recalibration of corresponding physiological parameters in the Chinese adult population model available in Simcyp (i.e., Chinese healthy volunteer model). Secondly, drug‐dependent parameters were collected for six drugs with different elimination pathways (i.e., metabolized by CYP1A2, CYP3A4 or renal excretion). The drug models were then developed and verified by clinical data from Chinese adults, Caucasian adults and Caucasian elderly subjects to ensure that drug‐dependent parameters are correctly inputted. Finally, the tested drug models in combination with the newly developed Chinese geriatric population model were applied to simulate drug concentration in Chinese elderly subjects. The predicted results were then compared with the observations to evaluate model prediction performance. Results Ninety‐eight per cent of predicted AUC, 95% of predicted Cmax, and 100% of predicted CL values were within two‐fold of the observed values, indicating all drug models were properly developed. The drug models, combined with the newly developed population model, were then used to predict pharmacokinetics in Chinese elderly subjects aged 60–93. The predicted AUC, Cmax, and CL values were all within two‐fold of the observed values. Conclusion The population model for the Chinese elderly subjects appears to adequately predict the concentration of the drug that was metabolized by CYP1A2, CYP3A4 or eliminated by renal clearance.
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Affiliation(s)
- Cheng Cui
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
| | - Jie En Valerie Sia
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.,School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Siqi Tu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.,School of Pharmaceutical Sciences, Peking University Health Science Center, Peking University, Beijing, 100191, China
| | - Xiaobei Li
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.,School of Pharmaceutical Sciences, Peking University Health Science Center, Peking University, Beijing, 100191, China
| | - Zhongqi Dong
- Janssen China R&D Center, Shanghai, 200233, China
| | - Zhiheng Yu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
| | - Xueting Yao
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
| | - Oliver Hatley
- Certara UK Ltd, Simcyp Division, Sheffield, S1 2BJ, UK
| | - Haiyan Li
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.,Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, 100191, China
| | - Dongyang Liu
- Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China
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18
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Kalam MN, Rasool MF, Alqahtani F, Imran I, Rehman AU, Ahmed N. Development and Evaluation of a Physiologically Based Pharmacokinetic Drug-Disease Model of Propranolol for Suggesting Model Informed Dosing in Liver Cirrhosis Patients. Drug Des Devel Ther 2021; 15:1195-1211. [PMID: 33762817 PMCID: PMC7982780 DOI: 10.2147/dddt.s297981] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 02/25/2021] [Indexed: 12/25/2022] Open
Abstract
AIM The study was aimed to understand the underlying causes for the differences in propranolol pharmacokinetics (PK) between healthy and cirrhosis populations by using a systematic whole-body physiologically based pharmacokinetic (PBPK) model-building approach for suggesting model informed propranolol dosing in liver cirrhosis patients with different stages of disease severity. METHODS A whole-body PBPK model was developed by using population simulator PK-Sim® by using reported physicochemical and clinical data for propranolol in healthy and liver cirrhosis populations. The model evaluation was done by visual verification and comparison of PK parameters using their observed/predicted ratios (Robs/pred). RESULTS The developed model has effectively described the disposition of propranolol after intravenous and oral application in healthy and liver cirrhosis populations. All the model predictions were comparable to the observed clinical data and the Robs/pred for all the PK parameters were within a 2-fold range. A significant increase in plasma concentration of propranolol and decrease in drug clearance was observed in progressive stages of liver cirrhosis. The developed model after evaluation with the reported clinical PK data was used for suggesting model informed propranolol dosing in different stages of liver cirrhosis based on systemic unbound drug concentration. CONCLUSION The developed PBPK model has successfully described propranolol PK in healthy and cirrhosis populations after IV and oral administration. The evaluated PBPK propranolol-cirrhosis model can have many implications in predicting propranolol dosing in liver cirrhosis patients with different stages of disease severity.
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Affiliation(s)
| | - Muhammad Fawad Rasool
- Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Faleh Alqahtani
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Imran Imran
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Asim Ur Rehman
- Department of Pharmacy, Quaid-i-Azam University, Islamabad, 45320, Pakistan
| | - Naveed Ahmed
- Department of Pharmacy, Quaid-i-Azam University, Islamabad, 45320, Pakistan
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19
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Sjögren E, Tarning J, Barnes KI, Jonsson EN. A Physiologically-Based Pharmacokinetic Framework for Prediction of Drug Exposure in Malnourished Children. Pharmaceutics 2021; 13:pharmaceutics13020204. [PMID: 33540928 PMCID: PMC7913226 DOI: 10.3390/pharmaceutics13020204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/21/2021] [Accepted: 01/28/2021] [Indexed: 02/06/2023] Open
Abstract
Malnutrition in children is a global health problem, particularly in developing countries. The effects of an insufficient supply of nutrients on body composition and physiological functions may have implications for drug disposition and ultimately affect the clinical outcome in this vulnerable population. Physiologically-based pharmacokinetic (PBPK) modeling can be used to predict the effect of malnutrition as it links physiological changes to pharmacokinetic (PK) consequences. However, the absence of detailed information on body composition and the limited availability of controlled clinical trials in malnourished children complicates the establishment and evaluation of a generic PBPK model in this population. In this manuscript we describe the creation of physiologically-based bridge to a malnourished pediatric population, by combining information on (a) the differences in body composition between healthy and malnourished adults and (b) the differences in physiology between healthy adults and children. Model performance was confirmed using clinical reference data. This study presents a physiologically-based translational framework for prediction of drug disposition in malnourished children. The model is readily applicable for dose recommendation strategies to address the urgent medicinal needs of this vulnerable population.
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Affiliation(s)
- Erik Sjögren
- Pharmetheus AB, 752 37 Uppsala, Sweden;
- Correspondence: ; Tel.: +46-737-750-545
| | - Joel Tarning
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand;
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK
| | - Karen I. Barnes
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town 7925, South Africa;
- WorldWide Antimalarial Resistance Network (WWARN) Pharmacology Scientific Working Group, University of Cape Town, Cape Town 7925, South Africa
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20
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Jogiraju VK, Heimbach T, Toderika Y, Taft DR. Physiologically based pharmacokinetic modeling of altered tizanidine systemic exposure by CYP1A2 modulation: Impact of drug-drug interactions and cigarette consumption. Drug Metab Pharmacokinet 2020; 37:100375. [PMID: 33561738 DOI: 10.1016/j.dmpk.2020.100375] [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: 11/17/2019] [Revised: 10/30/2020] [Accepted: 12/07/2020] [Indexed: 01/04/2023]
Abstract
Tizanidine is an alpha2-adrenergic agonist, used to treat spasticity associated with multiple sclerosis and spinal injury. Tizanidine is primarily metabolized by CYP1A2 and is considered a sensitive index substrate for this enzyme. The physiologically based pharmacokinetic (PBPK) modeling platform Simcyp® was used to evaluate the impact of CYP1A2 modulation on tizanidine exposure through drug-drug interactions (DDIs) and host-dependent habits (cigarette smoking). A PBPK model was developed to predict tizanidine disposition in healthy volunteers following oral administration. The model was verified based on agreement between model-simulated and clinically observed systemic exposure metrics (Cmax, AUC). The model was then used to carry-out DDI simulations to predict alterations in tizanidine systemic exposure when co-administered with various CYP1A2 perpetrators including competitive inhibitors (fluvoxamine, ciprofloxacin), a mechanism-based inhibitor (rofecoxib), and an inducer (rifampin). Additional simulations were performed to evaluate the impact of cigarette smoking on systemic exposure. Under each scenario, the PBPK model was able to capture the observed fold changes in tizanidine Cmax and AUC of tizanidine when coadministered with CYP1A2 inhibitors or inducers. These results add to the available research findings in the literature on PBPK predictions of drug-drug interactions and illustrate the potential application in drug development, specifically to support product labeling.
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Affiliation(s)
- Vamshi Krishna Jogiraju
- Samuel J. and Joan B. Williamson Institute for Pharmacometrics, Division of Pharmaceutical Sciences, Arnold and Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, NY, 11201, USA
| | - Tycho Heimbach
- Department of PK Sciences, PBPK and Biopharmaceutics Section, Novartis Institutes for Biomedical Research, East Hanover, NJ, 07936, USA
| | - Yuliana Toderika
- Division of Pharmacy Practice, Arnold and Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, NY, 11201, USA
| | - David R Taft
- Samuel J. and Joan B. Williamson Institute for Pharmacometrics, Division of Pharmaceutical Sciences, Arnold and Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, NY, 11201, USA.
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21
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Perry C, Davis G, Conner TM, Zhang T. Utilization of Physiologically Based Pharmacokinetic Modeling in Clinical Pharmacology and Therapeutics: an Overview. ACTA ACUST UNITED AC 2020; 6:71-84. [PMID: 32399388 PMCID: PMC7214223 DOI: 10.1007/s40495-020-00212-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The purpose of this review was to assess the advancement of applications for physiologically based pharmacokinetic (PBPK) modeling in various therapeutic areas. We conducted a PubMed search, and 166 articles published between 2012 and 2018 on FDA-approved drug products were selected for further review. Qualifying publications were summarized according to therapeutic area, medication(s) studied, pharmacokinetic model type utilized, simulator program used, and the applications of that modeling. The results showed a 13-fold increase in the number of papers published from 2012 to 2018, with the largest proportion of articles dedicated to the areas of infectious diseases, oncology, and neurology, and application extensions including prediction of drug-drug interactions due to metabolism and/or transporter-mediated effects and understanding drug kinetics in special populations. In addition, we profiled several high-impact studies whose results were used to guide package insert information and formulate dose recommendations. These results show that while utilization of PBPK modeling has drastically increased over the past several years, regulatory support, lack of easy-to-use systems for clinicians, and challenges with model validation remain major challenges for the widespread adoption of this practice in institutional and ambulatory settings. However, PBPK modeling will continue to be a useful tool in the future to assess therapeutic drug monitoring and the growing field of personalized medicine.
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Affiliation(s)
- Courtney Perry
- School of Pharmacy, Husson University, Bangor, ME 04401 USA
| | - Grace Davis
- School of Pharmacy, Husson University, Bangor, ME 04401 USA
| | - Todd M Conner
- School of Pharmacy, Husson University, Bangor, ME 04401 USA
| | - Tao Zhang
- School of Pharmacy, Husson University, Bangor, ME 04401 USA
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22
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Tolentino-Hernández SJ, Cruz-Antonio L, Pérez-Urizar J, Cabrera-Fuentes HA, Castañeda-Hernández G. Oral Ciprofloxacin Pharmacokinetics in Healthy Mexican Volunteers and Other Populations: Is There Interethnic Variability? Arch Med Res 2020; 51:268-277. [PMID: 32143939 DOI: 10.1016/j.arcmed.2020.02.008] [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: 08/21/2019] [Revised: 12/15/2019] [Accepted: 02/24/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND There is evidence that the pharmacokinetics of certain drugs in Mexicans may differ with respect to other ethnic groups. On the other hand, there is controversy about the existence of interethnic variability in the pharmacokinetics of ciprofloxacin. AIM OF THE STUDY To study oral ciprofloxacin pharmacokinetics in Mexicans at various dose levels and make comparisons with other populations in order to gain insight on interethnic variability. METHODS Healthy Mexican volunteers received oral ciprofloxacin as 250 mg and 500 mg immediate-release tablets or a 1,000 mg extended-release formulation. Plasma concentration against time curves were constructed, and pharmacokinetic parameters were compared with those reported for other populations. RESULTS Ciprofloxacin pharmacokinetics in Mexicans was linear and no significant differences between males and females were detected. When several populations were compared, it appeared that bioavailability in Mexicans was similar to that of Caucasians, being lower than that of Asians. These variations were attenuated when data were normalized by body weight. CONCLUSIONS Ciprofloxacin pharmacokinetics exhibit interethnic variability, Asians exhibiting an increased bioavailability with regard to Mexicans and Caucasians. Data suggest that these differences are due to body weight.
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Affiliation(s)
- Suset J Tolentino-Hernández
- Departamento de Farmacología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México
| | - Leticia Cruz-Antonio
- Facultad de Estudios Superiores Zaragoza, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - José Pérez-Urizar
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | - Héctor A Cabrera-Fuentes
- Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore Medical School, Singapore; National Heart Research Institute Singapore, National Heart Centre, Singapore; Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russian Federation; Tecnológico de Monterrey, Centro de Biotecnología-FEMSA, Monterrey, México
| | - Gilberto Castañeda-Hernández
- Departamento de Farmacología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México.
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23
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Balbas-Martinez V, Michelet R, Edginton AN, Meesters K, Trocóniz IF, Vermeulen A. Physiologically-Based Pharmacokinetic model for Ciprofloxacin in children with complicated Urinary Tract Infection. Eur J Pharm Sci 2018; 128:171-179. [PMID: 30503378 DOI: 10.1016/j.ejps.2018.11.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 11/13/2018] [Accepted: 11/28/2018] [Indexed: 01/05/2023]
Abstract
In a recent multicenter population pharmacokinetic study of ciprofloxacin administered to children suffering from complicated urinary tract infection (cUTI), the apparent volume of distribution (V) and total plasma clearance (CL) were decreased by 83.6% and 41.5% respectively, compared to healthy children. To understand these differences, a physiologically-based pharmacokinetic model (PBPK) for ciprofloxacin was developed for cUTI children. First, a PBPK model in adults was developed, modified incorporating age-dependent functions and evaluated with paediatric data generated from a published model in healthy children. Then, the model was then adapted to a cUTI paediatric population according to the degree of renal impairment (KF) affecting renal clearance (CLRenal,) and CYP1A2 clearance (CLCYP1A2). Serum and urine samples obtained from 22 cUTI children were used for model evaluation. Lastly, a parameter sensitivity analysis identified the most influential parameters on V and CL. The PBPK model predicted the ciprofloxacin exposure in adults and children, capturing age-related pharmacokinetic changes. Plasma concentrations and fraction excreted unchanged in urine (fe) predictions improved in paediatric cUTI patients once CLrenal and CLCYP1A2 were corrected by KF. The presented PBPK model for ciprofloxacin demonstrates its adequacy to simulate different dosing scenarios to obtain PK predictions in a healthy population from 3 months old onwards. Model adaptation of CLRenal and CLCYP1A2 according to KF explained partially the differences seen in the plasma drug concentrations and fe vs time profiles between healthy and cUTI children. Nevertheless, it is necessary to further investigate the disease-related changes in cUTI to improve model predictions.
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Affiliation(s)
- Violeta Balbas-Martinez
- Pharmacometrics and Systems Pharmacology, Department of Pharmacy and Pharmaceutical Technology, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Ghent University, Faculty of Pharmaceutical Sciences, Laboratory of Medical Biochemistry and Clinical Analysis, Ghent, Belgium.
| | - Robin Michelet
- Ghent University, Faculty of Pharmaceutical Sciences, Laboratory of Medical Biochemistry and Clinical Analysis, Ghent, Belgium.
| | - Andrea N Edginton
- School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada.
| | - Kevin Meesters
- Ghent University Hospital, Department of Pediatric Nephrology, Ghent, Belgium; KidZ Health Castlee, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium.
| | - Iñaki F Trocóniz
- Pharmacometrics and Systems Pharmacology, Department of Pharmacy and Pharmaceutical Technology, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
| | - An Vermeulen
- Ghent University, Faculty of Pharmaceutical Sciences, Laboratory of Medical Biochemistry and Clinical Analysis, Ghent, Belgium.
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