Literature DB >> 31783037

The role of fit-for-purpose assays within tiered testing approaches: A case study evaluating prioritized estrogen-active compounds in an in vitro human uterotrophic assay.

Tyler Beames1, Marjory Moreau1, L Avery Roberts2, Kamel Mansouri2, Saad Haider1, Marci Smeltz1, Chantel I Nicolas2, Daniel Doheny2, Martin B Phillips1, Miyoung Yoon2, Richard A Becker3, Patrick D McMullen1, Melvin E Andersen1, Rebecca A Clewell2, Jessica K Hartman4.   

Abstract

Chemical risk assessment relies on toxicity tests that require significant numbers of animals, time and costs. For the >30,000 chemicals in commerce, the current scale of animal testing is insufficient to address chemical safety concerns as regulatory and product stewardship considerations evolve to require more comprehensive understanding of potential biological effects, conditions of use, and associated exposures. We demonstrate the use of a multi-level new approach methodology (NAMs) strategy for hazard- and risk-based prioritization to reduce animal testing. A Level 1/2 chemical prioritization based on estrogen receptor (ER) activity and metabolic activation using ToxCast data was used to select 112 chemicals for testing in a Level 3 human uterine cell estrogen response assay (IKA assay). The Level 3 data were coupled with quantitative in vitro to in vivo extrapolation (Q-IVIVE) to support bioactivity determination (as a surrogate for hazard) in a tissue-specific context. Assay AC50s and Q-IVIVE were used to estimate human equivalent doses (HEDs), and HEDs were compared to rodent uterotrophic assay in vivo-derived points of departure (PODs). For substances active both in vitro and in vivo, IKA assay-derived HEDs were lower or equivalent to in vivo PODs for 19/23 compounds (83%). Activity exposure relationships were calculated, and the IKA assay was as or more protective of human health than the rodent uterotrophic assay for all IKA-positive compounds. This study demonstrates the utility of biologically relevant fit-for-purpose assays and supports the use of a multi-level strategy for chemical risk assessment.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Estrogen active compounds; Fit-for-purpose in vitro assays; IVIVE; In vitro assays sufficient for risk assessment; Uterine tissue responses

Mesh:

Substances:

Year:  2019        PMID: 31783037     DOI: 10.1016/j.taap.2019.114774

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  4 in total

1.  Practical application of the interim internal threshold of toxicological concern (iTTC): a case study based on clinical data.

Authors:  Abdulkarim Najjar; Corie A Ellison; Sebastien Gregoire; Nicola J Hewitt
Journal:  Arch Toxicol       Date:  2022-09-23       Impact factor: 6.168

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.  A framework for chemical safety assessment incorporating new approach methodologies within REACH.

Authors:  Nicholas Ball; Remi Bars; Philip A Botham; Andreea Cuciureanu; Mark T D Cronin; John E Doe; Tatsiana Dudzina; Timothy W Gant; Marcel Leist; Bennard van Ravenzwaay
Journal:  Arch Toxicol       Date:  2022-02-01       Impact factor: 5.153

  4 in total

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