Considerations for Improving Metabolism Predictions for In Vitro to In Vivo Extrapolation
High-throughput (HT) to extrapolation (IVIVE) is an integral component in new approach method (NAM)-based risk assessment paradigms, for rapidly translating toxicity assay results into the context of exposure. When coupled with rapid exposure predictions, HT-IVIVE supports the use of HT assays for r...
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Veröffentlicht in: | Frontiers in toxicology 2022-04, Vol.4, p.894569-894569 |
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Sprache: | eng |
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Zusammenfassung: | High-throughput (HT)
to
extrapolation (IVIVE) is an integral component in new approach method (NAM)-based risk assessment paradigms, for rapidly translating
toxicity assay results into the context of
exposure. When coupled with rapid exposure predictions, HT-IVIVE supports the use of HT
assays for risk-based chemical prioritization. However, the reliability of prioritization based on HT bioactivity data and HT-IVIVE can be limited as the domain of applicability of current HT-IVIVE is generally restricted to intrinsic clearance measured primarily in pharmaceutical compounds. Further, current approaches only consider parent chemical toxicity. These limitations occur because current state-of-the-art HT prediction tools for clearance and metabolite kinetics do not provide reliable data to support HT-IVIVE. This paper discusses current challenges in implementation of IVIVE for prioritization and risk assessment and recommends a path forward for addressing the most pressing needs and expanding the utility of IVIVE. |
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ISSN: | 2673-3080 2673-3080 |
DOI: | 10.3389/ftox.2022.894569 |