Literature DB >> 24341543

Pharmacokinetic-pharmacodynamic integration and modelling of florfenicol in calves.

P Sidhu1, A Rassouli, J Illambas, T Potter, L Pelligand, A Rycroft, P Lees.   

Abstract

Florfenicol was administered subcutaneously to 10 calves at a dose of 40 mg/kg. Pharmacokinetic-pharmacodynamic (PK-PD) integration and modelling of the data were undertaken using a tissue cage model, which allowed comparison of microbial growth inhibition profiles in three fluids, serum, exudate and transudate. Terminal half-lives were relatively long, so that florfenicol concentrations were well maintained in all three fluids. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration were determined in vitro for six strains each of the calf pneumonia pathogens, Mannhemia haemolytica and Pasteurella multocida. An PK-PD integration for three serum indices provided mean values for P. multocida and M. haemolytica, respectively, of 12.6 and 10.4 for Cmax /MIC, 183 and 152 h for AUC0-24 h /MIC and 78 and 76 h for T>MIC. Average florfenicol concentrations in serum exceeded 4 × MIC and 1.5 × MIC for the periods 0-24 and 48-72 h, respectively. Ex vivo growth inhibition curves for M. haemolytica and P. multocida demonstrated a rapid (with 8 h of exposure) and marked (6 log10 reduction in bacterial count or greater) killing response, suggesting a concentration-dependent killing action. During 24-h incubation periods, inhibition of growth to a bacteriostatic level or greater was maintained in serum samples collected up to 96 h and in transudate and exudate samples harvested up to 120 h. Based on the sigmoidal Emax relationship, PK-PD modelling of the ex vivo time-kill data provided AUC0-24 h /MIC serum values for three levels of growth inhibition, bacteriostatic, bactericidal and 4 log10 decrease in bacterial count; mean values were, respectively, 8.2, 26.6 and 39.0 h for M. haemolytica and 7.6, 18.1 and 25.0 h for P. multocida. Similar values were obtained for transudate and exudate. Based on pharmacokinetic and PK-PD modelled data obtained in this study and scientific literature values for MIC distributions, Monte Carlo simulations over 100 000 trials were undertaken to predict once daily dosages of florfenicol required to provide 50% and 90% target attainment rates for three levels of growth inhibition, namely, bacteriostasis, bactericidal action and 4 log10 reduction in bacterial count.
© 2013 John Wiley & Sons Ltd.

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Year:  2013        PMID: 24341543     DOI: 10.1111/jvp.12093

Source DB:  PubMed          Journal:  J Vet Pharmacol Ther        ISSN: 0140-7783            Impact factor:   1.786


  18 in total

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Journal:  BMC Vet Res       Date:  2015-02-07       Impact factor: 2.741

3.  Influence of three coccidiostats on the pharmacokinetics of florfenicol in rabbits.

Authors:  Chun Liu; Sheng-Jie Wang; Qian Zhang; Yi-Xiang Shao
Journal:  Exp Anim       Date:  2014-10-16

4.  Pharmacokinetic/pharmacodynamic integration and modelling of florfenicol for the pig pneumonia pathogens Actinobacillus pleuropneumoniae and Pasteurella multocida.

Authors:  Lucy Dorey; Ludovic Pelligand; Zhangrui Cheng; Peter Lees
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

5.  Prediction of marbofloxacin dosage for the pig pneumonia pathogens Actinobacillus pleuropneumoniae and Pasteurella multocida by pharmacokinetic/pharmacodynamic modelling.

Authors:  Lucy Dorey; Ludovic Pelligand; Peter Lees
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6.  Pharmacokinetic/pharmacodynamic integration and modelling of oxytetracycline for the porcine pneumonia pathogens Actinobacillus pleuropneumoniae and Pasteurella multocida.

Authors:  L Dorey; L Pelligand; Z Cheng; P Lees
Journal:  J Vet Pharmacol Ther       Date:  2017-01-16       Impact factor: 1.786

7.  Relevance of Breast Cancer Resistance Protein to Pharmacokinetics of Florfenicol in Chickens: A Perspective from In Vivo and In Vitro Studies.

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Review 8.  Pharmacokinetics/Pharmacodynamics models of veterinary antimicrobial agents.

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9.  Effects of anemoside B4 on pharmacokinetics of florfenicol and mRNA expression of CXR, MDR1, CYP3A37 and UGT1E in broilers.

Authors:  Sicong Li; Xuting Li; Rui Yang; Bin Wang; Jinliang Li; Liang Cao; Songyang Xiao; Wei Huang
Journal:  J Vet Med Sci       Date:  2019-10-14       Impact factor: 1.267

10.  PK-PD Integration Modeling and Cutoff Value of Florfenicol against Streptococcus suis in Pigs.

Authors:  Zhixin Lei; Qianying Liu; Shuaike Yang; Bing Yang; Haseeb Khaliq; Kun Li; Saeed Ahmed; Abdul Sajid; Bingzhou Zhang; Pin Chen; Yinsheng Qiu; Jiyue Cao; Qigai He
Journal:  Front Pharmacol       Date:  2018-01-17       Impact factor: 5.810

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