Literature DB >> 33848589

Next generation risk assessment (NGRA): Bridging in vitro points-of-departure to human safety assessment using physiologically-based kinetic (PBK) modelling - A case study of doxorubicin with dose metrics considerations.

Hequn Li1, Haitao Yuan2, Alistair Middleton1, Jin Li1, Beate Nicol1, Paul Carmichael1, Jiabin Guo2, Shuangqing Peng3, Qiang Zhang4.   

Abstract

Using the chemical doxorubicin (DOX), the objective of the present study was to evaluate the impact of dose metrics selection in the new approach method of integrating physiologically-based kinetic (PBK) modelling and relevant human cell-based assays to inform a priori the point of departure for human health risk. We reviewed the literature on the clinical consequences of DOX treatment to identify dosing scenarios with no or mild cardiotoxicity observed. Key concentrations of DOX that induced cardiomyocyte toxicity in vitro were derived from studies of our own and others. A human population-based PBK model of DOX was developed and verified against pharmacokinetic data. The model was then used to predict plasma and extracellular and intracellular heart concentrations of DOX under selected clinical settings and compared with in vitro outcomes, based on several dose metrics: Cmax (maximum concentration) or AUC (area under concentration-time curve) in free or total form of DOX. We found when using in vitro assays to predict cardiotoxicity for DOX, AUC is a better indicator. Our study illustrates that when appropriate dose metrics are used, it is possible to combine PBK modelling with in vitro-derived toxicity information to define margins of safety and predict low-risk human exposure levels.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Dose metrics; New approach methodologies; Next generation risk assessment; Physiologically-based kinetic modelling

Year:  2021        PMID: 33848589     DOI: 10.1016/j.tiv.2021.105171

Source DB:  PubMed          Journal:  Toxicol In Vitro        ISSN: 0887-2333            Impact factor:   3.500


  4 in total

1.  Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment.

Authors:  Abdulkarim Najjar; Ans Punt; John Wambaugh; Alicia Paini; Corie Ellison; Styliani Fragki; Enrica Bianchi; Fagen Zhang; Joost Westerhout; Dennis Mueller; Hequn Li; Quan Shi; Timothy W Gant; Phil Botham; Rémi Bars; Aldert Piersma; Ben van Ravenzwaay; Nynke I Kramer
Journal:  Arch Toxicol       Date:  2022-09-05       Impact factor: 6.168

2.  Next Generation Risk Assessment of the Anti-Androgen Flutamide Including the Contribution of Its Active Metabolite Hydroxyflutamide.

Authors:  Tessa C A van Tongeren; Paul L Carmichael; Ivonne M C M Rietjens; Hequn Li
Journal:  Front Toxicol       Date:  2022-06-02

3.  RAID: Regression Analysis-Based Inductive DNA Microarray for Precise Read-Across.

Authors:  Yuto Amano; Masayuki Yamane; Hiroshi Honda
Journal:  Front Pharmacol       Date:  2022-07-22       Impact factor: 5.988

4.  Latent Variables Capture Pathway-Level Points of Departure in High-Throughput Toxicogenomic Data.

Authors:  Danilo Basili; Joe Reynolds; Jade Houghton; Sophie Malcomber; Bryant Chambers; Mark Liddell; Iris Muller; Andrew White; Imran Shah; Logan J Everett; Alistair Middleton; Andreas Bender
Journal:  Chem Res Toxicol       Date:  2022-03-25       Impact factor: 3.973

  4 in total

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