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Investigating the state of physiologically based kinetic modelling practices and challenges associated with gaining regulatory acceptance of model applications
Affiliation:1. European Commission, Joint Research Centre, Directorate Health, Consumers and Reference Materials, Via E Fermi 2749, 21027 Ispra, Italy;2. Oak Ridge Institute for Science and Education, Oak Ridge, TN 37831, USA;3. Klimeto, Juzna 4, Roznava, Slovakia;4. U.S. Environmental Protection Agency, National Research Laboratory, Research Triangle Park, NC 27709, USA
Abstract:Physiologically based kinetic (PBK) models are used widely throughout a number of working sectors, including academia and industry, to provide insight into the dosimetry related to observed adverse health effects in humans and other species. Use of these models has increased over the last several decades, especially in conjunction with emerging alternative methods to animal testing, such as in vitro studies and data-driven in silico quantitative-structure-activity-relationship (QSAR) predictions. Experimental information derived from these new approach methods can be used as input for model parameters and allows for increased confidence in models for chemicals that did not have in vivo data for model calibration. Despite significant advancements in good modelling practice (GMP) for model development and evaluation, there remains some reluctance among regulatory agencies to use such models during the risk assessment process. Here, the results of a survey disseminated to the modelling community are presented in order to inform the frequency of use and applications of PBK models in science and regulatory submission. Additionally, the survey was designed to identify a network of investigators involved in PBK modelling and knowledgeable of GMP so that they might be contacted in the future for peer review of PBK models, especially in regards to vetting the models to such a degree as to gain a greater acceptance for regulatory purposes.
Keywords:PBK models  Physiologically based kinetic models  Regulatory  Toxicology  Risk assessment  Alternatives methods
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