2022
DOI: 10.3389/ftox.2022.885843
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In Vitro–In Vivo Extrapolation by Physiologically Based Kinetic Modeling: Experience With Three Case Studies and Lessons Learned

Abstract: Physiologically based kinetic (PBK) modeling has been increasingly used since the beginning of the 21st century to support dose selection to be used in preclinical and clinical safety studies in the pharmaceutical sector. For chemical safety assessment, the use of PBK has also found interest, however, to a smaller extent, although an internationally agreed document was published already in 2010 (IPCS/WHO), but at that time, PBK modeling was based mostly on in vivo data as the example in the IPCS/WHO document i… Show more

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Cited by 7 publications
(2 citation statements)
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“…The processes that can be modeled comprise molecular interactions, signaling and metabolic pathways, cell growth, anatomical structures, and physiological processes. Moreover, computational tools can support complex in vitro models for system‐level understanding of complex processes and/or for human‐relevant in vitro–in vivo extrapolations (Algharably et al., 2022; Andreoni et al., 2014; Casas et al., 2022). Computational modeling approaches are essential for quantitatively analyzing OoC systems and predicting their complex responses (Sung, 2022).…”
Section: Nams For Nutrition Researchmentioning
confidence: 99%
“…The processes that can be modeled comprise molecular interactions, signaling and metabolic pathways, cell growth, anatomical structures, and physiological processes. Moreover, computational tools can support complex in vitro models for system‐level understanding of complex processes and/or for human‐relevant in vitro–in vivo extrapolations (Algharably et al., 2022; Andreoni et al., 2014; Casas et al., 2022). Computational modeling approaches are essential for quantitatively analyzing OoC systems and predicting their complex responses (Sung, 2022).…”
Section: Nams For Nutrition Researchmentioning
confidence: 99%
“…Increasing emphasis is being placed on using in vitro models results for drugs as a surrogate for their in vivo behavior. In vitro to in vivo extrapolation (IVIVE) can convert in vitro drug metabolism data into in vivo metabolism data (Algharably et al, 2022). During drug development, a variety of in vitro metabolic models are utilized to screen and study the metabolic properties of candidate compounds.…”
Section: Correlations Between In Vitro and In Vivo Studiesmentioning
confidence: 99%