Integration of Food Animal Residue Avoidance Databank (FARAD) empirical methods for drug withdrawal interval determination with a mechanistic population-based interactive physiologically based pharmacokinetic (iPBPK) modeling platform: example for flunixin meglumine administration

Li, Miao; Cheng, Yi-Hsien; Chittenden, Jason; Baynes, Ronald E.; Tell, Lisa A.; Davis, Jennifer L.; Vickroy, Thomas W.; Riviere, Jim E.; Lin, Zhoumeng

doi:10.1007/s00204-019-02464-z

Cited by 22 publications

(29 citation statements)

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“…The calculated mean relative liver organ weight for swine was 2.04% of body weight (Table 9). This value is close to the value of 2.3% used in recent PBPK models for swine (Li, Cheng, et al, 2019; Li et al, 2017) and in the range of 2%–2.94% for swine reported in the previous review paper (Lin, Gehring, et al, 2016).…”

Section: Resultssupporting

confidence: 89%

“…For swine, the calculated mean relative organ weight of lungs was 0.9% (Table 9). This value is similar to the value of 1% for swine in previous review papers (Lin, Gehring, et al, 2016; Upton, 2008) and in one PBPK model for swine (Qian et al, 2017), and to the value of 0.8% in some recent PBPK models for swine (Li, Cheng, et al, 2019; Li et al, 2017).…”

Section: Resultssupporting

confidence: 88%

“…The calculated mean relative liver weight in cattle was 1.23% (Table 1), which is similar to the value of 1.4% used in published PBPK models for cattle (Li, Cheng, et al, 2019; Li et al, 2017; Li, Gehring, et al, 2018) and is close to the reported range of 1.3% to 3% in the review paper (Lin, Gehring, et al, 2016). However, the value is lower than values of 5.5%, 3.4%, 3.3%, and 2.6% reported for mice, rats, dogs, and humans (Brown et al, 1997).…”

Section: Resultssupporting

confidence: 86%

“…The calculated mean volume for both kidneys was 0.21% for cattle (Table 1). This value is close to the value of 0.26% used in a PBPK model by MacLachlan (2009) and 0.2% used in recent PBPK models for cattle (Li, Cheng, et al, 2019; Li et al, 2017; Li, Gehring, et al, 2018). The kidneys constitute about 0.39% of the body weight in calves (Table 7).…”

Section: Resultssupporting

confidence: 85%

“…The reported values of relative adipose tissue weights from individual studies are summarized in Table 8. The relative adipose tissue weights for cattle reported in a previous review was in the range of 15%–20% (Lin, Gehring, et al, 2016), and the value of 15% was used in the PBPK models for cattle (Li, Cheng, et al, 2019; Li et al, 2017; Li, Gehring, Riviere, & Lin, 2018). These values are within the range of 6.6%–24% reported in the present study.…”

Section: Resultsmentioning

confidence: 99%

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Physiological parameter values for physiologically based pharmacokinetic models in food‐producing animals. Part I: Cattle and swine

Lin

Wang

et al. 2020

Vet Pharm & Therapeutics

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Physiologically based pharmacokinetic (PBPK) models for chemicals in food animals are a useful tool in estimating chemical tissue residues and withdrawal intervals. Physiological parameters such as organ weights and blood flows are an important component of a PBPK model. The objective of this study was to compile PBPK‐related physiological parameter data in food animals, including cattle and swine. Comprehensive literature searches were performed in PubMed, Google Scholar, ScienceDirect, and ProQuest. Relevant literature was reviewed and tables of relevant parameters such as relative organ weights (% of body weight) and relative blood flows (% of cardiac output) were compiled for different production classes of cattle and swine. The mean and standard deviation of each parameter were calculated to characterize their variability and uncertainty and to allow investigators to conduct population PBPK analysis via Monte Carlo simulations. Regression equations using weight or age were created for parameters having sufficient data. These compiled data provide a comprehensive physiological parameter database for developing PBPK models of chemicals in cattle and swine to support animal‐derived food safety assessment. This work also provides a basis to compile data in other food animal species, including goats, sheep, chickens, and turkeys.

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Section: Resultssupporting

confidence: 89%