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Song ZW, Yang F, Dai Y, Zhang CS, Shao HT, Wang H, Ma KL, Li ZE, Yang F. Population Pharmacokinetics of Danofloxacin in Yellow River Carp (Cyprinus carpio haematopterus) After One Single Oral Dose. Front Vet Sci 2022; 9:868966. [PMID: 35464352 PMCID: PMC9019490 DOI: 10.3389/fvets.2022.868966] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 03/14/2022] [Indexed: 12/02/2022] Open
Abstract
This study aimed to determine the population pharmacokinetics of danofloxacin in healthy Yellow River carp (Cyprinus carpio Haematopterus) after single oral administration at 10 mg/kg body weight (BW). A sparse sampling was applied in this study and plasma samples were randomly collected from the tail veins of six carp at 0.25, 0.5, 1, 2, 4, 6, 8, 12, 16, 24, 36, 48, 72, 96, 120 and 144 h after administration. A maximum of four plasma samples was collected from each carp. Then the concentrations of danofloxacin in plasma samples were determined through an HPLC method. Danofloxacin could be quantified in plasma up to 144 h after administration. The corresponding population pharmacokinetic modeling was developed according to the non-linear mixed effect method, including covariate and covariance models to explain some variations from unknown sources and improve the prediction ability. On the premise of sparse sampling, the typical values of the population (fixed effect) and inter-individual variation (random effect) were described by the current population pharmacokinetic model. The estimated typical values and coefficient of variation between individuals (CV%) of absorption rate constant (tvKa), apparent distribution volume (tvV) and clearance (tvCL) were 2.48 h−1 and 0.203%, 47.8 L/kg and 8.40%, 0.694 L/h/kg and 4.35%, respectively. The current danofloxacin oral dosing (10 mg/kg BW) can provide suitable plasma concentrations to inhibit those pathogens with MIC values below 0.016 μg/ml based on the calculated PK/PD indices of AUC/MIC or Cmax/MIC. Further studies are still needed to determine the in vitro and in vivo antibacterial efficacy of danofloxacin against pathogens isolated from Yellow River carp and finally draw a reasonable dosing regimen.
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Mileva R, Milanova A. Doxycycline pharmacokinetics in mammalian species of veterinary interest – an overview. BULGARIAN JOURNAL OF VETERINARY MEDICINE 2022. [DOI: 10.15547/bjvm.2321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Doxycycline is a broad-spectrum tetracycline antibiotic widely used in veterinary medicine. The current review aims to summarise the available data about pharmacokinetics in mammalian species of veterinary interest and to indicate the basic strategies for refining dosage regimens in order to use this antibiotic reasonably. Additionally, the available data about population pharmacokinetics are reviewed as this approach exhibits a number of benefits in terms of determination of drug pharmacokinetics, prediction of drug disposition and interpretation of the variations in the pharmacokinetic parameters. Further research with animal species of veterinary interest and pathogens causing diseases in animals is needed to clarify the pharmacokinetics and pharmacodynamics of doxycycline.
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Affiliation(s)
- R. Mileva
- Department of Pharmacology, Animal Physiology and Physiological Chemistry, Facul-ty of Veterinary Medicine, Trakia University, 6000 Stara Zagora, Bulgaria
| | - A. Milanova
- Department of Pharmacology, Animal Physiology and Physiological Chemistry, Facul-ty of Veterinary Medicine, Trakia University, 6000 Stara Zagora, Bulgaria
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Bon C, Toutain PL, Concordet D, Gehring R, Martin-Jimenez T, Smith J, Pelligand L, Martinez M, Whittem T, Riviere JE, Mochel JP. Mathematical modeling and simulation in animal health. Part III: Using nonlinear mixed-effects to characterize and quantify variability in drug pharmacokinetics. J Vet Pharmacol Ther 2018; 41:171-183. [PMID: 29226975 DOI: 10.1111/jvp.12473] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 11/16/2017] [Indexed: 01/12/2023]
Abstract
A common feature of human and veterinary pharmacokinetics is the importance of identifying and quantifying the key determinants of between-patient variability in drug disposition and effects. Some of these attributes are already well known to the field of human pharmacology such as bodyweight, age, or sex, while others are more specific to veterinary medicine, such as species, breed, and social behavior. Identification of these attributes has the potential to allow a better and more tailored use of therapeutic drugs both in companion and food-producing animals. Nonlinear mixed effects (NLME) have been purposely designed to characterize the sources of variability in drug disposition and response. The NLME approach can be used to explore the impact of population-associated variables on the relationship between drug administration, systemic exposure, and the levels of drug residues in tissues. The latter, while different from the method used by the US Food and Drug Administration for setting official withdrawal times (WT) can also be beneficial for estimating WT of approved animal drug products when used in an extralabel manner. Finally, NLME can also prove useful to optimize dosing schedules, or to analyze sparse data collected in situations where intensive blood collection is technically challenging, as in small animal species presenting limited blood volume such as poultry and fish.
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Affiliation(s)
- C Bon
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland
| | - P L Toutain
- Department of Veterinary Basic Sciences, Royal Veterinary College, Hatfield, UK
| | - D Concordet
- Toxalim, Research Centre in Food Toxicology, Toulouse, France
- Université de Toulouse, ENVT, INP, Toxalim, Toulouse, France
- Laboratoire de Physiologie et Thérapeutique, École Nationale Vétérinaire de Toulouse INRA, UMR 1331, Toulouse, France
| | - R Gehring
- Department of Anatomy and Physiology, College of Veterinary Medicine, Institute of Computational Comparative Medicine (ICCM), Kansas State University, Manhattan, KS, USA
| | - T Martin-Jimenez
- Department of Comparative Medicine, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA
| | - J Smith
- Veterinary Diagnostic and Production Animal Medicine, Iowa State University College of Veterinary Medicine, Ames, IA, USA
| | - L Pelligand
- Department of Veterinary Basic Sciences, Royal Veterinary College, Hatfield, UK
| | - M Martinez
- Center for Veterinary Medicine, US Food and Drug Administration, Rockville, MD, USA
| | - T Whittem
- Translational Research and Animal Clinical Trials (TRACTs) Group, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee, Vic., Australia
| | - J E Riviere
- Department of Anatomy and Physiology, College of Veterinary Medicine, Institute of Computational Comparative Medicine (ICCM), Kansas State University, Manhattan, KS, USA
| | - J P Mochel
- Biomedical Sciences, Iowa State University College of Veterinary Medicine, Ames, IA, USA
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