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Apply a Physiologically Based Pharmacokinetic Model to Promote the Development of Enrofloxacin Granules: Predict Withdrawal Interval and Toxicity Dose

Enrofloxacin (ENR) granules were developed to prevent and control the infections caused by foodborne zoonotic intestinal pathogens in our previous studies. To promote the further development of ENR granules and standardize their usage in pigs, a physiologically based pharmacokinetic (PBPK) model of...

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Autores principales: Zhou, Kaixiang, Liu, Aimei, Ma, Wenjin, Sun, Lei, Mi, Kun, Xu, Xiangyue, Algharib, Samah Attia, Xie, Shuyu, Huang, Lingli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388861/
https://www.ncbi.nlm.nih.gov/pubmed/34439005
http://dx.doi.org/10.3390/antibiotics10080955
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author Zhou, Kaixiang
Liu, Aimei
Ma, Wenjin
Sun, Lei
Mi, Kun
Xu, Xiangyue
Algharib, Samah Attia
Xie, Shuyu
Huang, Lingli
author_facet Zhou, Kaixiang
Liu, Aimei
Ma, Wenjin
Sun, Lei
Mi, Kun
Xu, Xiangyue
Algharib, Samah Attia
Xie, Shuyu
Huang, Lingli
author_sort Zhou, Kaixiang
collection PubMed
description Enrofloxacin (ENR) granules were developed to prevent and control the infections caused by foodborne zoonotic intestinal pathogens in our previous studies. To promote the further development of ENR granules and standardize their usage in pigs, a physiologically based pharmacokinetic (PBPK) model of the ENR granule in pigs was built to determine the withdrawal time (WT) and evaluate the toxicity to pigs. Meanwhile, the population WT was determined by a Monte Carlo analysis to guarantee pork safety. The fitting results of the model showed that the tissue residual concentrations of ENR, ciprofloxacin, and ENR plus ciprofloxacin were all well predicted by the built PBPK model (R(2) > 0.82). When comparing with the EMA’s WT1.4 software method, the final WT (6 d) of the ENR granules in the population of pigs was well predicted. Moreover, by combining the cytotoxicity concentration (225.9 µg/mL) of ENR against pig hepatocytes, the orally safe dosage range (≤130 mg/kg b.w.) of the ENR granules to pigs was calculated based on the validated PBPK model. The well-predicted WTs and a few uses in animals proved that the PBPK model is a potential tool for promoting the judicious use of antimicrobial agents and evaluating the toxicity of the veterinary antimicrobial products.
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spelling pubmed-83888612021-08-27 Apply a Physiologically Based Pharmacokinetic Model to Promote the Development of Enrofloxacin Granules: Predict Withdrawal Interval and Toxicity Dose Zhou, Kaixiang Liu, Aimei Ma, Wenjin Sun, Lei Mi, Kun Xu, Xiangyue Algharib, Samah Attia Xie, Shuyu Huang, Lingli Antibiotics (Basel) Article Enrofloxacin (ENR) granules were developed to prevent and control the infections caused by foodborne zoonotic intestinal pathogens in our previous studies. To promote the further development of ENR granules and standardize their usage in pigs, a physiologically based pharmacokinetic (PBPK) model of the ENR granule in pigs was built to determine the withdrawal time (WT) and evaluate the toxicity to pigs. Meanwhile, the population WT was determined by a Monte Carlo analysis to guarantee pork safety. The fitting results of the model showed that the tissue residual concentrations of ENR, ciprofloxacin, and ENR plus ciprofloxacin were all well predicted by the built PBPK model (R(2) > 0.82). When comparing with the EMA’s WT1.4 software method, the final WT (6 d) of the ENR granules in the population of pigs was well predicted. Moreover, by combining the cytotoxicity concentration (225.9 µg/mL) of ENR against pig hepatocytes, the orally safe dosage range (≤130 mg/kg b.w.) of the ENR granules to pigs was calculated based on the validated PBPK model. The well-predicted WTs and a few uses in animals proved that the PBPK model is a potential tool for promoting the judicious use of antimicrobial agents and evaluating the toxicity of the veterinary antimicrobial products. MDPI 2021-08-08 /pmc/articles/PMC8388861/ /pubmed/34439005 http://dx.doi.org/10.3390/antibiotics10080955 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Kaixiang
Liu, Aimei
Ma, Wenjin
Sun, Lei
Mi, Kun
Xu, Xiangyue
Algharib, Samah Attia
Xie, Shuyu
Huang, Lingli
Apply a Physiologically Based Pharmacokinetic Model to Promote the Development of Enrofloxacin Granules: Predict Withdrawal Interval and Toxicity Dose
title Apply a Physiologically Based Pharmacokinetic Model to Promote the Development of Enrofloxacin Granules: Predict Withdrawal Interval and Toxicity Dose
title_full Apply a Physiologically Based Pharmacokinetic Model to Promote the Development of Enrofloxacin Granules: Predict Withdrawal Interval and Toxicity Dose
title_fullStr Apply a Physiologically Based Pharmacokinetic Model to Promote the Development of Enrofloxacin Granules: Predict Withdrawal Interval and Toxicity Dose
title_full_unstemmed Apply a Physiologically Based Pharmacokinetic Model to Promote the Development of Enrofloxacin Granules: Predict Withdrawal Interval and Toxicity Dose
title_short Apply a Physiologically Based Pharmacokinetic Model to Promote the Development of Enrofloxacin Granules: Predict Withdrawal Interval and Toxicity Dose
title_sort apply a physiologically based pharmacokinetic model to promote the development of enrofloxacin granules: predict withdrawal interval and toxicity dose
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388861/
https://www.ncbi.nlm.nih.gov/pubmed/34439005
http://dx.doi.org/10.3390/antibiotics10080955
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