Literature DB >> 33662518

Effective exposure of chemicals in in vitro cell systems: A review of chemical distribution models.

Susana Proença1, Beate I Escher2, Fabian C Fischer3, Ciarán Fisher4, Sébastien Grégoire5, Nicky J Hewitt6, Beate Nicol7, Alicia Paini8, Nynke I Kramer9.   

Abstract

Nominal effect concentrations from in vitro toxicity assays may lead to inaccurate estimations of in vivo toxic doses because the nominal concentration poorly reflects the concentration at the molecular target in cells in vitro, which is responsible for initiating effects and can be referred to as the biologically effective dose. Chemicals can differentially distribute between in vitro assay compartments, including serum constituents in exposure medium, microtitre plate plastic, headspace and extracellular matrices. The partitioning of test chemicals to these extracellular compartments reduces the concentration at the molecular target. Free concentrations in medium and cell-associated concentrations are considered better proxies of the biologically effective dose. This paper reviews the mechanisms by which test chemicals distribute between in vitro assay compartments, and also lists the physicochemical properties driving the extent of this distribution. The mechanisms and physicochemical properties driving the distribution of test chemical in vitro help explain the makeup of mass balance models that estimate free concentrations and cell-associated concentrations in in vitro toxicity assays. A thorough understanding of the distribution processes and assumptions underlying these mass balance models helps define chemical and biological applicability domains of individual models, as well as provide a perspective on how to improve model predictivity and quantitative in vitro-in vivo extrapolations.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  QIVIVE; free concentration; in vitro assays; mass balance; partitioning; pharmacokinetics

Year:  2021        PMID: 33662518     DOI: 10.1016/j.tiv.2021.105133

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


  11 in total

1.  Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches.

Authors:  Kevin M Crofton; Arianna Bassan; Mamta Behl; Yaroslav G Chushak; Ellen Fritsche; Jeffery M Gearhart; Mary Sue Marty; Moiz Mumtaz; Manuela Pavan; Patricia Ruiz; Magdalini Sachana; Rajamani Selvam; Timothy J Shafer; Lidiya Stavitskaya; David T Szabo; Steven T Szabo; Raymond R Tice; Dan Wilson; David Woolley; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2022-03-17

Review 2.  Considerations for Improving Metabolism Predictions for In Vitro to In Vivo Extrapolation.

Authors:  Marjory Moreau; Pankajini Mallick; Marci Smeltz; Saad Haider; Chantel I Nicolas; Salil N Pendse; Jeremy A Leonard; Matthew W Linakis; Patrick D McMullen; Rebecca A Clewell; Harvey J Clewell; Miyoung Yoon
Journal:  Front Toxicol       Date:  2022-04-29

Review 3.  IVIVE: Facilitating the Use of In Vitro Toxicity Data in Risk Assessment and Decision Making.

Authors:  Xiaoqing Chang; Yu-Mei Tan; David G Allen; Shannon Bell; Paul C Brown; Lauren Browning; Patricia Ceger; Jeffery Gearhart; Pertti J Hakkinen; Shruti V Kabadi; Nicole C Kleinstreuer; Annie Lumen; Joanna Matheson; Alicia Paini; Heather A Pangburn; Elijah J Petersen; Emily N Reinke; Alexandre J S Ribeiro; Nisha Sipes; Lisa M Sweeney; John F Wambaugh; Ronald Wange; Barbara A Wetmore; Moiz Mumtaz
Journal:  Toxics       Date:  2022-05-01

4.  Combining in vitro assays and mathematical modelling to study developmental neurotoxicity induced by chemical mixtures.

Authors:  Francesca Pistollato; Donatella Carpi; Emilio Mendoza-de Gyves; Alicia Paini; Stephanie K Bopp; Andrew Worth; Anna Bal-Price
Journal:  Reprod Toxicol       Date:  2021-08-26       Impact factor: 3.143

5.  Derivation of a Human In Vivo Benchmark Dose for Bisphenol A from ToxCast In Vitro Concentration Response Data Using a Computational Workflow for Probabilistic Quantitative In Vitro to In Vivo Extrapolation.

Authors:  George Loizou; Kevin McNally; Alicia Paini; Alex Hogg
Journal:  Front Pharmacol       Date:  2022-02-11       Impact factor: 5.810

6.  Scientific Validation of Human Neurosphere Assays for Developmental Neurotoxicity Evaluation.

Authors:  Katharina Koch; Kristina Bartmann; Julia Hartmann; Julia Kapr; Jördis Klose; Eliška Kuchovská; Melanie Pahl; Kevin Schlüppmann; Etta Zühr; Ellen Fritsche
Journal:  Front Toxicol       Date:  2022-03-02

Review 7.  Omics-based ecosurveillance for the assessment of ecosystem function, health, and resilience.

Authors:  David J Beale; Oliver A H Jones; Utpal Bose; James A Broadbent; Thomas K Walsh; Jodie van de Kamp; Andrew Bissett
Journal:  Emerg Top Life Sci       Date:  2022-04-15

8.  In Vitro-In Vivo Extrapolation by Physiologically Based Kinetic Modeling: Experience With Three Case Studies and Lessons Learned.

Authors:  Engi Abdelhady Algharably; Emma Di Consiglio; Emanuela Testai; Francesca Pistollato; Hans Mielke; Ursula Gundert-Remy
Journal:  Front Toxicol       Date:  2022-07-18

9.  Dynamic Mass Balance Modeling for Chemical Distribution Over Time in In Vitro Systems With Repeated Dosing.

Authors:  Sherri Bloch; Jon A Arnot; Nynke I Kramer; James M Armitage; Marc-André Verner
Journal:  Front Toxicol       Date:  2022-08-22

Review 10.  Implementing organ-on-chip in a next-generation risk assessment of chemicals: a review.

Authors:  Katharina S Nitsche; Iris Müller; Sophie Malcomber; Paul L Carmichael; Hans Bouwmeester
Journal:  Arch Toxicol       Date:  2022-02-01       Impact factor: 5.153

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