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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: 38] [Impact Index Per Article: 6.3] [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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Riviere JE, Gabrielsson J, Fink M, Mochel J. Mathematical modeling and simulation in animal health. Part I: Moving beyond pharmacokinetics. J Vet Pharmacol Ther 2015; 39:213-23. [PMID: 26592724 DOI: 10.1111/jvp.12278] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Revised: 09/29/2015] [Accepted: 10/07/2015] [Indexed: 02/05/2023]
Abstract
The application of mathematical modeling to problems in animal health has a rich history in the form of pharmacokinetic modeling applied to problems in veterinary medicine. Advances in modeling and simulation beyond pharmacokinetics have the potential to streamline and speed-up drug research and development programs. To foster these goals, a series of manuscripts will be published with the following goals: (i) expand the application of modeling and simulation to issues in veterinary pharmacology; (ii) bridge the gap between the level of modeling and simulation practiced in human and veterinary pharmacology; (iii) explore how modeling and simulation concepts can be used to improve our understanding of common issues not readily addressed in human pharmacology (e.g. breed differences, tissue residue depletion, vast weight ranges among adults within a single species, interspecies differences, small animal species research where data collection is limited to sparse sampling, availability of different sampling matrices); and (iv) describe how quantitative pharmacology approaches could help understanding key pharmacokinetic and pharmacodynamic characteristics of a drug candidate, with the goal of providing explicit, reproducible, and predictive evidence for optimizing drug development plans, enabling critical decision making, and eventually bringing safe and effective medicines to patients. This study introduces these concepts and introduces new approaches to modeling and simulation as well as clearly articulate basic assumptions and good practices. The driving force behind these activities is to create predictive models that are based on solid physiological and pharmacological principles as well as adhering to the limitations that are fundamental to applying mathematical and statistical models to biological systems.
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Affiliation(s)
- J E Riviere
- Institute of Computational Comparative Medicine, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - J Gabrielsson
- Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - M Fink
- Novartis Pharma AG, Basel, Switzerland
| | - J Mochel
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland
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Scheelings TF, Devi JL, Woodward AP, Whittem T. Pharmacokinetics of enrofloxacin following oral and subcutaneous administration in the common ringtail possum (Pseudocheirus peregrinus). J Vet Pharmacol Ther 2015; 38:482-7. [PMID: 25622984 DOI: 10.1111/jvp.12201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 12/11/2014] [Indexed: 11/26/2022]
Abstract
[Correction added on 23 March 2015, after first online publication: Terminal half-life values of enrofloxacin is corrected in the fourth sentence of the abstract] Clinically healthy common ringtail possums (n = 5) received single doses of 10 mg/kg enrofloxacin orally and then 2 weeks later subcutaneously. Serial plasma samples were collected over 24 h for each treatment phase, and enrofloxacin concentrations were determined using a validated HPLC assay. Pharmacokinetic parameters were determined by noncompartmental analysis. Following oral administration, plasma concentrations were of therapeutic relevance (Cmax median 5.45 μg/mL, range 2.98-6.9 μg/mL), with terminal-phase half-life (t½ ) shorter than in other species (median 3.09 h, range 1.79-5.30 h). In contrast, subcutaneous administration of enrofloxacin did not achieve effective plasma concentrations, with plasma concentrations too erratic to fit the noncompartmental model except in one animal. On the basis of the AUC:MIC, enrofloxacin administered at 10 mg/kg orally, but not subcutaneously, is likely to be effective against a range of bacterial species that have been reported in common ringtail possums.
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Affiliation(s)
- T F Scheelings
- Australian Wildlife Health Centre, Healesville Sanctuary, Healesville, Vic., Australia
| | - J L Devi
- Translational Research and Animal Clinical Trial Study (TRACTS) Group, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, Vic., Australia
| | - A P Woodward
- Translational Research and Animal Clinical Trial Study (TRACTS) Group, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, Vic., Australia
| | - T Whittem
- Translational Research and Animal Clinical Trial Study (TRACTS) Group, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, Vic., Australia
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Tobias KM, Harvey RC, Byarlay JM. A comparison of four methods of analgesia in cats following ovariohysterectomy. Vet Anaesth Analg 2006; 33:390-8. [PMID: 17083611 DOI: 10.1111/j.1467-2995.2005.00282.x] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the effectiveness of preoperative administration of oral carprofen, subcutaneous ketoprofen, and local nerve block with bupivacaine in preventing postoperative pain-associated behavior in cats after ovariohysterectomy. ANIMALS Fifty-two female intact cats. Materials and methods Cats received butorphanol (0.44 mg kg(-1) IM), carprofen (2.2 mg kg(-1) PO), ketoprofen (2.2 mg kg(-1) SQ), or bupivacaine infiltration block (1.1 mg kg(-1) SQ) before surgery. Cortisol and drug concentrations and visual analog scale (VAS) and interactive visual analog scale (IVAS) pain-associated behavior scores were measured 2 hours before and 0, 1, 2, 4, 8, 12, and 24 hours after ovariohysterectomy. RESULTS Cats receiving butorphanol had significantly increased IVAS scores 2 hours after surgery compared with baseline measurements. Cats receiving carprofen, ketoprofen, and bupivacaine had significant increases from baseline in VAS and IVAS scores 1 and 2 hours after surgery. VAS and IVAS scores for cats receiving bupivacaine were significantly greater 1 and 2 hours after surgery than for cats that received butorphanol. Cats receiving carprofen had significant increases in cortisol 1 hour after surgery and significant decreases 24 hours after surgery compared with baseline measurements. CONCLUSIONS AND CLINICAL RELEVANCE Preoperative carprofen and ketoprofen have effects on pain-associated behavior similar to butorphanol in cats undergoing ovariohysterectomy. Cats receiving bupivacaine blocks may require additional analgesics immediately after surgery.
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Affiliation(s)
- Karen M Tobias
- Department of Small Animal Clinical Sciences, University of Tennessee, Knoxville, TN, USA
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McKellar QA, Sanchez Bruni SF, Jones DG. Pharmacokinetic/pharmacodynamic relationships of antimicrobial drugs used in veterinary medicine. J Vet Pharmacol Ther 2005; 27:503-14. [PMID: 15601444 DOI: 10.1111/j.1365-2885.2004.00603.x] [Citation(s) in RCA: 206] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The rise in incidence of antimicrobial resistance, consumer demands and improved understanding of antimicrobial action has encouraged international agencies to review the use of antimicrobial drugs. More detailed understanding of relationships between the pharmacokinetics (PK) of antimicrobial drugs in target animal species and their action on target pathogens [pharmacodynamics (PD)] has led to greater sophistication in design of dosage schedules which improve the activity and reduce the selection pressure for resistance in antimicrobial therapy. This, in turn, may be informative in the pharmaceutical development of antimicrobial drugs and in their selection and clinical utility. PK/PD relationships between area under the concentration time curve from zero to 24 h (AUC(0-24)) and minimum inhibitory concentration (MIC), maximum plasma concentration (C(max)) and MIC and time during which plasma concentrations exceed the MIC have been particularly useful in optimizing efficacy and minimizing resistance. Antimicrobial drugs have been classified as concentration-dependent where increasing concentrations at the locus of infection improve bacterial kill, or time-dependent where exceeding the MIC for a prolonged percentage of the inter-dosing interval correlates with improved efficacy. For the latter group increasing the absolute concentration obtained above a threshold does not improve efficacy. The PK/PD relationship for each group of antimicrobial drugs is 'bug and drug' specific, although ratios of 125 for AUC(0-24):MIC and 10 for C(max):MIC have been recommended to achieve high efficacy for concentration-dependent antimicrobial drugs, and exceeding MIC by 1-5 multiples for between 40 and 100% of the inter-dosing interval is appropriate for most time-dependent agents. Fluoroquinolones, aminoglycosides and metronidazole are concentration-dependent and beta-lactams, macrolides, lincosamides and glycopeptides are time-dependent. For drugs of other classes there is limited and conflicting information on their classification. Resistance selection may be reduced for concentration-dependent antimicrobials by achieving an AUC(0-24):MIC ratio of greater than 100 or a C(max):MIC ratio of greater than 8. The relationships between time greater than MIC and resistance selection for time-dependent antimicrobials have not been well characterized.
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Affiliation(s)
- Q A McKellar
- Royal Veterinary College, Hawkshead Campus, Hatfield, Hertfordshire AL9 7TA, UK.
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