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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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Ibrahim A, Wang F, Gary Hollenbeck R, Martinez MN, Fahmy R, Hoag SW. Development and Validation of a Stability-indicating UPLC-DAD Method for the Simultaneous Determination of Ivermectin and Praziquantel in Pharmaceutical Tablets and Dissolution Media. AAPS PharmSciTech 2023; 24:211. [PMID: 37821763 DOI: 10.1208/s12249-023-02656-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023] Open
Abstract
Currently, there is no single rapid and accurate stability-indicating quantitative method that can simultaneously determine both ivermectin and praziquantel and their related compounds. Thus, the goal of this research is to develop and validate a new rapid, accurate, and stability-indicating ultra-performance liquid chromatography (UPLC) method. The method uses a water, acetonitrile, and methanol gradient. The chromatographic separation was achieved on a C18 (1.7 μm, 2.1 × 50 mm) column with a flow rate of 0.7 mL/min, and the column temperature was maintained at 40°C. Analytes are detected at 245 nm. The method was validated in accordance with ICH Q2R1 guidelines. The linearity (R2) was >0.9987 and 0.9997 for praziquantel and ivermectin, respectively. The corresponding accuracy ranged between 98.0 and 102.0%. Intermediate precision (assessed as inter-day precision) was determined by calculating the cumulative %CV of eighteen assay preparations and was less than 2.0% for both praziquantel and ivermectin. The specificity of the method was shown by the resolution of the two active pharmaceutical ingredients (APIs) from any interfering excipients, impurities, or degradation products. The limit of detection and quantitation for ivermectin was 26.80 ng/mL and 81.22 ng/mL, respectively. The limit of detection and quantitation for praziquantel was 1.39 μg/mL and 4.22 μg/mL, respectively. The robustness study proved that method performance is stable against small variations in sample processing parameters (shaking, sonication time, and acetonitrile % in solvent solution) and also against small variations in the initial % of mobile phase components and gradient slope. Using ICH Q2R2 criteria, the method was demonstrated to be specific, accurate, stability indicating, and robust to small variations of chromatographic variables.
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Affiliation(s)
- Ahmed Ibrahim
- School of Pharmacy, University Maryland Baltimore, 20 N. Pine St., Baltimore, Maryland, 21201, USA
| | - Fang Wang
- School of Pharmacy, University Maryland Baltimore, 20 N. Pine St., Baltimore, Maryland, 21201, USA
| | - R Gary Hollenbeck
- School of Pharmacy, University Maryland Baltimore, 20 N. Pine St., Baltimore, Maryland, 21201, USA
| | - Marilyn N Martinez
- Office of New Animal Drug, Center for Veterinary Medicine, U.S. Food and Drug Administration, Rockville, Maryland, 20855, USA
| | - Raafat Fahmy
- Office of New Animal Drug, Center for Veterinary Medicine, U.S. Food and Drug Administration, Rockville, Maryland, 20855, USA
| | - Stephen W Hoag
- School of Pharmacy, University Maryland Baltimore, 20 N. Pine St., Baltimore, Maryland, 21201, USA.
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Fonseca ADM, Araújo CDCB, da Silva JH, Honório TDS, Nasciutti LE, Cabral LM, do Carmo FA, de Sousa VP. Development of transdermal based hydrogel formulations of vinorelbine with an evaluation of their in vitro profiles and activity against melanoma cells and in silico prediction of drug absorption. J Drug Deliv Sci Technol 2021. [DOI: 10.1016/j.jddst.2021.102449] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Li G, Yang H, Liu W, Shen C, Ji Y, Sun Y, Huo Q, Liu Y, Wang G. Development of an In Vivo Predictive Dissolution Methodology of Topiroxostat Immediate-Release Tablet Using In Silico Simulation. AAPS PharmSciTech 2021; 22:132. [PMID: 33851275 DOI: 10.1208/s12249-021-01992-1] [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: 01/13/2021] [Accepted: 03/15/2021] [Indexed: 11/30/2022] Open
Abstract
The main objective of this study was to develop an in vivo predictive dissolution (IVPD) model for topiroxostat immediate-release (IR) formulation by the combination of mechanistic absorption model (MAM) deconvolution method with time shifting factor (TSF) adjustment. The in vitro dissolution profiles in different biorelevant dissolution media containing different concentrations of sodium lauryl sulfate (SLS) were obtained from dissolution testing with the paddle method of the US Pharmacopeia, while the human pharmacokinetic profile was taken from the published experimental results. The GastroPlus™ software was used to observe the linear relationship between in vitro drug dissolution and in vivo absorption. The pharmacokinetic profile of topiroxostat IR tablet was first deconvoluted through the MAM method to obtain the fraction absorbed in vivo. Next, Levy plot was constructed to estimate the TSF, and the time scale for both processes of dissolution and absorption was then adjusted to be superimposable. The IVPD modelling was subsequently established with data between in vitro dissolution profiles and fraction absorbed in vivo. Finally, the dissolution profiles of topiroxostat IR tablet were translated into a pharmacokinetic curve in terms of convolution method. The comparison between translated and observed pharmacokinetic data will validate the performance of the developed IVPD model. This new linear IVPD model with high predictive power for the tablet can predict the in vivo pharmacokinetic differences through in vitro dissolution data, and it can be utilized as a risk-control tool for the formulation development of the topiroxostat IR tablet and the quality control of product batches.
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Schlender JF, Teutonico D, Coboeken K, Schnizler K, Eissing T, Willmann S, Jaehde U, Stass H. A Physiologically-Based Pharmacokinetic Model to Describe Ciprofloxacin Pharmacokinetics Over the Entire Span of Life. Clin Pharmacokinet 2019; 57:1613-1634. [PMID: 29737457 PMCID: PMC6267540 DOI: 10.1007/s40262-018-0661-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Background Physiologically-based pharmacokinetic (PBPK) modeling has received growing interest as a useful tool for the assessment of drug pharmacokinetics by continuous knowledge integration. Objective The objective of this study was to build a ciprofloxacin PBPK model for intravenous and oral dosing based on a comprehensive literature review, and evaluate the predictive performance towards pediatric and geriatric patients. Methods The aim of this report was to establish confidence in simulations of the ciprofloxacin PBPK model along the development process to facilitate reliable predictions outside of the tested adult age range towards the extremes of ages. Therefore, mean data of 69 published clinical trials were identified and integrated into the model building, simulation and verification process. The predictive performance on both ends of the age scale was assessed using individual data of 258 subjects observed in own clinical trials. Results Ciprofloxacin model verification demonstrated no concentration-related bias and accurate simulations for the adult age range, with only 4.8% of the mean observed data points for intravenous administration and 12.1% for oral administration being outside the simulated twofold range. Predictions towards the extremes of ages for the area under the plasma concentration–time curve (AUC) and the maximum plasma concentration (Cmax) over the entire span of life revealed a reliable estimation, with only two pediatric AUC observations outside the 90% prediction interval. Conclusion Overall, this ciprofloxacin PBPK modeling approach demonstrated the predictive power of a thoroughly informed middle-out approach towards age groups of interest to potentially support the decision-making process. Electronic supplementary material The online version of this article (10.1007/s40262-018-0661-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jan-Frederik Schlender
- Institute of Pharmacy, Clinical Pharmacy, University of Bonn, Bonn, Germany.
- Systems Pharmacology and Medicine, Bayer AG, 51373, Leverkusen, Germany.
| | - Donato Teutonico
- Systems Pharmacology and Medicine, Bayer AG, 51373, Leverkusen, Germany
- Division of Clinical Pharmacokinetics and Pharmacometrics, Institut de Recherches Internationales Servier, Suresnes, France
| | - Katrin Coboeken
- Systems Pharmacology and Medicine, Bayer AG, 51373, Leverkusen, Germany
| | - Katrin Schnizler
- Systems Pharmacology and Medicine, Bayer AG, 51373, Leverkusen, Germany
| | - Thomas Eissing
- Systems Pharmacology and Medicine, Bayer AG, 51373, Leverkusen, Germany
| | | | - Ulrich Jaehde
- Institute of Pharmacy, Clinical Pharmacy, University of Bonn, Bonn, Germany
| | - Heino Stass
- Clinical Pharmacology, Bayer AG, Wuppertal, Germany
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Martinez MN, Gehring R, Mochel JP, Pade D, Pelligand L. Population variability in animal health: Influence on dose-exposure-response relationships: Part II: Modelling and simulation. J Vet Pharmacol Ther 2018; 41:E68-E76. [PMID: 29806231 DOI: 10.1111/jvp.12666] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Accepted: 04/15/2018] [Indexed: 11/29/2022]
Abstract
During the 2017 Biennial meeting, the American Academy of Veterinary Pharmacology and Therapeutics hosted a 1-day session on the influence of population variability on dose-exposure-response relationships. In Part I, we highlighted some of the sources of population variability. Part II provides a summary of discussions on modelling and simulation tools that utilize existing pharmacokinetic data, can integrate drug physicochemical characteristics with species physiological characteristics and dosing information or that combine observed with predicted and in vitro information to explore and describe sources of variability that may influence the safe and effective use of veterinary pharmaceuticals.
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Affiliation(s)
- Marilyn N Martinez
- Center for Veterinary Medicine, US Food and Drug Administration, Rockville, Maryland
| | - Ronette Gehring
- Utrecht Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Jonathan P Mochel
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, Iowa
| | | | - Ludovic Pelligand
- Department of Clinical Services and Sciences and Department of Comparative Biomedical Sciences, The Royal Veterinary College, Hatfield, UK
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Martinez MN, Mistry B, Lukacova V, Lentz KA, Polli JE, Hoag SW, Dowling T, Kona R, Fahmy RM. Exploring Canine-Human Differences in Product Performance. Part II: Use of Modeling and Simulation to Explore the Impact of Formulation on Ciprofloxacin In Vivo Absorption and Dissolution in Dogs. AAPS JOURNAL 2017; 19:712-726. [PMID: 28265981 DOI: 10.1208/s12248-017-0055-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 02/02/2017] [Indexed: 01/22/2023]
Abstract
This study explored the in vivo performance of three oral ciprofloxacin formulations (oral solution, fast, or slow dissolving tablets) in beagle dogs. The in vivo absorption and dissolution behaviors, estimated with in silico mechanistic models, were compared to the results previously published in human volunteers. Six normal healthy male beagle dogs (five to completion) received three oral formulations and an intravenous infusion in a randomized crossover design. Plasma ciprofloxacin concentrations were estimated by tandem mass spectrometry detection. A mechanistic absorption model was used to predict the in vivo dissolution and absorption characteristics of the oral formulations. Canine ciprofloxacin absorption was constrained to the duodenum/jejunum. This absorption window was far narrower than that seen in humans. Furthermore, while substantial within-individual variability in drug absorption was seen in human subjects, a greater magnitude of variability was observed in dogs. For three sets of data, a lag time in gastric emptying was necessary to improve the accuracy of model-generated in vivo blood level profile predictions. In addition to species-associated dissimilarities in drug solubilization due to human versus canine differences in gastrointestinal fluid compositions, the far more rapid intestinal transit time and potential segmental differences in drug absorption needed to be considered during human-canine extrapolation of oral drug and drug product performance. Through the use of mechanistic models, the data generated in the human and canine studies contributed insights into some aspects of the interspecies differences to be considered when extrapolating oral bioavailability/formulation effect data between dogs and humans.
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Affiliation(s)
- M N Martinez
- The Food and Drug Administration, Rockville, Maryland, 20855, USA.
| | - B Mistry
- The Food and Drug Administration, Rockville, Maryland, 20855, USA
| | - V Lukacova
- Simulations Plus, Inc., 42505 10th Street West, Lancaster, California, 93534, USA
| | - K A Lentz
- Pharmaceutical Candidate Optimization, Metabolism and Pharmacokinetics, Bristol-Myers Squibb, Wallingford, Connecticut, USA
| | - J E Polli
- Department of Pharmaceutical Sciences, University of Maryland Baltimore, Baltimore, Maryland, 21201, USA
| | - S W Hoag
- Department of Pharmaceutical Sciences, University of Maryland Baltimore, Baltimore, Maryland, 21201, USA
| | - T Dowling
- Department of Pharmacy Practice, Ferris State University, Big Rapids, Michigan, 49307, USA
| | - R Kona
- Division of Formulation Development, Actavis Inc., Parsippany, New Jersey, 07054, USA
| | - R M Fahmy
- The Food and Drug Administration, Rockville, Maryland, 20855, USA
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Kim TH, Shin S, Bulitta JB, Youn YS, Yoo SD, Shin BS. Development of a Physiologically Relevant Population Pharmacokinetic in Vitro–in Vivo Correlation Approach for Designing Extended-Release Oral Dosage Formulation. Mol Pharm 2016; 14:53-65. [DOI: 10.1021/acs.molpharmaceut.6b00677] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Tae Hwan Kim
- School of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
| | - Soyoung Shin
- Department of Pharmacy,
College of Pharmacy, Wonkwang University, Iksan, Jeonbuk 54538, Korea
| | - Jürgen B. Bulitta
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida 32827, United States
| | - Yu Seok Youn
- School of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
| | - Sun Dong Yoo
- School of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea
| | - Beom Soo Shin
- College of Pharmacy, Catholic University of Daegu, Gyeongsan, Gyeongbuk 38430, Korea
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