Development and application of a population physiologically based pharmacokinetic model for florfenicol and its metabolite florfenicol amine in cattle

Yang, Fan; Lin, Zhoumeng; Riviere, Jim E.; Baynes, Ronald E.

doi:10.1016/j.fct.2019.02.029

Cited by 20 publications

(23 citation statements)

References 35 publications

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“…For the IV route, ENR was directly injected into venous blood at the IV dose (mg/kg b.w.) and the duration of the infusion period (timeiv) was set as 0.001 h (41). For the IB route, the initial concentration of ENR in the water was 20 and 100 ppm, and the exposure periods (timeib) were 2.5 and 0.5 h, respectively (38).…”

Section: Model Structurementioning

confidence: 99%

“…Following IV injection or extravascular absorption, ENR was distributed through the bloodstream to all tissue compartments. As reported anywhere (26,28,29,41), the mass balance equations were coded to describe the concentration or mass change for ENR or CIP in each compartment (Table 2). According to the previous report (23), ENR is mainly eliminated by liver metabolism and renal excretion.…”

Section: Model Structurementioning

confidence: 99%

“…According to a previous study (31), a determination coefficient >0.75 is regarded as a general criterion for good prediction. Also, the mean absolute percentage error (MAPE) was calculated to validate this model (41). The evaluation criteria of MAPE are: (i) excellent prediction: MAPE < 10%; (ii) good prediction: 10% < MAPE < 20%; and (iii) acceptable prediction: MAPE < 50% (26).…”

Section: Model Validationmentioning

confidence: 99%

“…A sensitivity analysis was carried out according to the previous study (41). In the sensitivity analysis process, the central difference method was utilized; more details could be found in our previous studies (26,41). If the absolute value of its NSC was >0.25 (41), this parameter was considered as an influential one.…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…In the sensitivity analysis process, the central difference method was utilized; more details could be found in our previous studies (26,41). If the absolute value of its NSC was >0.25 (41), this parameter was considered as an influential one. In order to simultaneously perform the sensitivity analysis on all parameters, three routes of administration were simulated simultaneously.…”

Section: Sensitivity Analysismentioning

confidence: 99%

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Development and Application of a Water Temperature Related Physiologically Based Pharmacokinetic Model for Enrofloxacin and Its Metabolite Ciprofloxacin in Rainbow Trout

et al. 2021

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Enrofloxacin (ENR) has been approved for the treatment of infections in aquaculture, but it may cause tissue residue. This research aimed to develop and validate a water temperature related PBPK model, including both ENR and ciprofloxacin (CIP), in rainbow trout, and to predict further their residue concentrations and the withdrawal periods for ENR at different water temperatures. With the published concentrations data, a flow-limited PBPK model including both ENR and CIP sub-models was developed to predict ENR and CIP concentrations in tissues and plasma/serum after intravenous, oral, or immersion administration. A Monte Carlo simulation including 500 iterations was further incorporated into this model. Based on the model and Monte Carlo analysis, the withdrawal intervals were estimated for different dosage regimens and at different water temperatures, ranging from 80 to 272 degree-days. All of these values were shorter than the labeled withdrawal period (500 degree-days) in fish. This model provided a useful tool for predicting the tissue residues of ENR and CIP in rainbow trout under different dosage regimens and at different water temperatures.

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Section: Model Structurementioning

confidence: 99%