Chengyang Zhang, Haiyan Liu, Ziyan Kou, Kun Mi, Lingli Huang
Porcine respiratory diseases is a major cause of economic losses in livestock, and ceftiofur is one of the core therapeutic agents for its treatment, but the clinical efficacy can be inconsistent. Therefore, it is necessary to utilize a population pharmacokinetic model to reveal the distribution and metabolic patterns of ceftiofur in pig populations, while also combining Monte Carlo simulation techniques to predict the probability of treatment success under different dosing regimens. To investigate the probability of attaining the pharmacokinetic/pharmacodynamic targets of ceftiofur in pigs infected with different respiratory bacteria, a population pharmacokinetic model for the intramuscular administration of ceftiofur in pigs was developed, and Monte Carlo simulation was performed to analyze the target attainment rate of ceftiofur at different doses. The results showed that the target attainment rate of ceftiofur was 100% for Pasteurella multocida at the dose of 0.5 mg/kg b.w. intramuscularly, 99.9% for Actinobacillus pleuropneumoniae at 1 mg/kg b.w. intramuscularly, 93.4% for Streptococcus suis at 0.5 mg/kg b.w. intramuscularly, and 95.4% for Haemophilus parasuis at 10 mg/kg b.w. intramuscularly. The results indicate that it is crucial to optimize the dosage based on specific infected bacteria to improve the success rate of treatment and extend the clinical application period of ceftiofur.
{"title":"Optimizing the Dosage of Ceftiofur to Treat Porcine Respiratory Infection Based on a Population Pharmacokinetic Model and Monte Carlo Simulation.","authors":"Chengyang Zhang, Haiyan Liu, Ziyan Kou, Kun Mi, Lingli Huang","doi":"10.1111/jvp.70032","DOIUrl":"https://doi.org/10.1111/jvp.70032","url":null,"abstract":"<p><p>Porcine respiratory diseases is a major cause of economic losses in livestock, and ceftiofur is one of the core therapeutic agents for its treatment, but the clinical efficacy can be inconsistent. Therefore, it is necessary to utilize a population pharmacokinetic model to reveal the distribution and metabolic patterns of ceftiofur in pig populations, while also combining Monte Carlo simulation techniques to predict the probability of treatment success under different dosing regimens. To investigate the probability of attaining the pharmacokinetic/pharmacodynamic targets of ceftiofur in pigs infected with different respiratory bacteria, a population pharmacokinetic model for the intramuscular administration of ceftiofur in pigs was developed, and Monte Carlo simulation was performed to analyze the target attainment rate of ceftiofur at different doses. The results showed that the target attainment rate of ceftiofur was 100% for Pasteurella multocida at the dose of 0.5 mg/kg b.w. intramuscularly, 99.9% for Actinobacillus pleuropneumoniae at 1 mg/kg b.w. intramuscularly, 93.4% for Streptococcus suis at 0.5 mg/kg b.w. intramuscularly, and 95.4% for Haemophilus parasuis at 10 mg/kg b.w. intramuscularly. The results indicate that it is crucial to optimize the dosage based on specific infected bacteria to improve the success rate of treatment and extend the clinical application period of ceftiofur.</p>","PeriodicalId":17596,"journal":{"name":"Journal of veterinary pharmacology and therapeutics","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145513243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Trailing endpoints are a recognised challenge in broth microdilution MIC testing, particularly for bacteriostatic agents such as trimethoprim (TMP) and sulphonamides. In this study, we applied a pharmacodynamically guided refinement to determine the MIC of the combination against Staphylococcus pseudintermedius; we did not aim at redefining clinical susceptibility, but at refining MIC determination to better guide pharmacodynamic study design. By providing more reliable thresholds for growth suppression, this approach supports optimisation of PD modelling and may ultimately inform translational applications, such as dose prediction and reducing misclassification in PD contexts. Visual MICs were compared to those derived from log10 changes in CFU/mL over 24 h, using pharmacodynamic thresholds of +2.3 log10 (growth from standard inoculum of 5 × 105 to ~108 CFU/mL, corresponding to visible growth MIC) and 0 log10 change (stationary concentration). Across 10 clinical isolates, visual MICs often underestimated the concentration required to suppress growth by 2-4 fold (more than one dilution step), particularly for sulphonamides. TMP-sulphonamide combinations at a 1:19 ratio showed reduced trailing and closer agreement between visual and count-based MICs, reflecting enhanced bactericidal activity. Time-kill curve experiments anchored on the log10 count-based MIC provided a well-distributed range of PD responses, capturing both suppression and killing more accurately than curves centred on visual MICs. This method supports more rational selection of concentrations for PD studies and may be especially valuable for slow-acting or ratio-sensitive combinations, and has translational value for sulphonamides, such as sulfamethoxazole, used in both human and veterinary medicine.
{"title":"Time Kill Curve PD Modelling Experiments Are Affected by Trailing MIC Endpoints: Refinement of MIC Determination for S. pseudintermedius.","authors":"Andrew Mead, Ludovic Pelligand","doi":"10.1111/jvp.70033","DOIUrl":"https://doi.org/10.1111/jvp.70033","url":null,"abstract":"<p><p>Trailing endpoints are a recognised challenge in broth microdilution MIC testing, particularly for bacteriostatic agents such as trimethoprim (TMP) and sulphonamides. In this study, we applied a pharmacodynamically guided refinement to determine the MIC of the combination against Staphylococcus pseudintermedius; we did not aim at redefining clinical susceptibility, but at refining MIC determination to better guide pharmacodynamic study design. By providing more reliable thresholds for growth suppression, this approach supports optimisation of PD modelling and may ultimately inform translational applications, such as dose prediction and reducing misclassification in PD contexts. Visual MICs were compared to those derived from log<sub>10</sub> changes in CFU/mL over 24 h, using pharmacodynamic thresholds of +2.3 log<sub>10</sub> (growth from standard inoculum of 5 × 10<sup>5</sup> to ~10<sup>8</sup> CFU/mL, corresponding to visible growth MIC) and 0 log<sub>10</sub> change (stationary concentration). Across 10 clinical isolates, visual MICs often underestimated the concentration required to suppress growth by 2-4 fold (more than one dilution step), particularly for sulphonamides. TMP-sulphonamide combinations at a 1:19 ratio showed reduced trailing and closer agreement between visual and count-based MICs, reflecting enhanced bactericidal activity. Time-kill curve experiments anchored on the log<sub>10</sub> count-based MIC provided a well-distributed range of PD responses, capturing both suppression and killing more accurately than curves centred on visual MICs. This method supports more rational selection of concentrations for PD studies and may be especially valuable for slow-acting or ratio-sensitive combinations, and has translational value for sulphonamides, such as sulfamethoxazole, used in both human and veterinary medicine.</p>","PeriodicalId":17596,"journal":{"name":"Journal of veterinary pharmacology and therapeutics","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145377820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amir Atabak Ronaghinia, Nanett Kvist Nikolaisen, Mette Fertner, Mattia Pirolo, Henrik Lauritz Frandsen, Tina Struve, Pierre-Louis Toutain, Peter Damborg