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A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products
Next-Generation Risk Assessment is defined as an exposure-led, hypothesis-driven risk assessment approach that integrates new approach methodologies (NAMs) to assure safety without the use of animal testing. These principles were applied to a hypothetical safety assessment of 0.1% coumarin in face c...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357171/ https://www.ncbi.nlm.nih.gov/pubmed/32275751 http://dx.doi.org/10.1093/toxsci/kfaa048 |
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author | Baltazar, Maria T Cable, Sophie Carmichael, Paul L Cubberley, Richard Cull, Tom Delagrange, Mona Dent, Matthew P Hatherell, Sarah Houghton, Jade Kukic, Predrag Li, Hequn Lee, Mi-Young Malcomber, Sophie Middleton, Alistair M Moxon, Thomas E Nathanail, Alexis V Nicol, Beate Pendlington, Ruth Reynolds, Georgia Reynolds, Joe White, Andrew Westmoreland, Carl |
author_facet | Baltazar, Maria T Cable, Sophie Carmichael, Paul L Cubberley, Richard Cull, Tom Delagrange, Mona Dent, Matthew P Hatherell, Sarah Houghton, Jade Kukic, Predrag Li, Hequn Lee, Mi-Young Malcomber, Sophie Middleton, Alistair M Moxon, Thomas E Nathanail, Alexis V Nicol, Beate Pendlington, Ruth Reynolds, Georgia Reynolds, Joe White, Andrew Westmoreland, Carl |
author_sort | Baltazar, Maria T |
collection | PubMed |
description | Next-Generation Risk Assessment is defined as an exposure-led, hypothesis-driven risk assessment approach that integrates new approach methodologies (NAMs) to assure safety without the use of animal testing. These principles were applied to a hypothetical safety assessment of 0.1% coumarin in face cream and body lotion. For the purpose of evaluating the use of NAMs, existing animal and human data on coumarin were excluded. Internal concentrations (plasma C(max)) were estimated using a physiologically based kinetic model for dermally applied coumarin. Systemic toxicity was assessed using a battery of in vitro NAMs to identify points of departure (PoDs) for a variety of biological effects such as receptor-mediated and immunomodulatory effects (Eurofins SafetyScreen44 and BioMap Diversity 8 Panel, respectively), and general bioactivity (ToxCast data, an in vitro cell stress panel and high-throughput transcriptomics). In addition, in silico alerts for genotoxicity were followed up with the ToxTracker tool. The PoDs from the in vitro assays were plotted against the calculated in vivo exposure to calculate a margin of safety with associated uncertainty. The predicted C(max) values for face cream and body lotion were lower than all PoDs with margin of safety higher than 100. Furthermore, coumarin was not genotoxic, did not bind to any of the 44 receptors tested and did not show any immunomodulatory effects at consumer-relevant exposures. In conclusion, this case study demonstrated the value of integrating exposure science, computational modeling and in vitro bioactivity data, to reach a safety decision without animal data. |
format | Online Article Text |
id | pubmed-7357171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73571712020-07-16 A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products Baltazar, Maria T Cable, Sophie Carmichael, Paul L Cubberley, Richard Cull, Tom Delagrange, Mona Dent, Matthew P Hatherell, Sarah Houghton, Jade Kukic, Predrag Li, Hequn Lee, Mi-Young Malcomber, Sophie Middleton, Alistair M Moxon, Thomas E Nathanail, Alexis V Nicol, Beate Pendlington, Ruth Reynolds, Georgia Reynolds, Joe White, Andrew Westmoreland, Carl Toxicol Sci Regulatory Science, Risk Assessment, and Decision Making Next-Generation Risk Assessment is defined as an exposure-led, hypothesis-driven risk assessment approach that integrates new approach methodologies (NAMs) to assure safety without the use of animal testing. These principles were applied to a hypothetical safety assessment of 0.1% coumarin in face cream and body lotion. For the purpose of evaluating the use of NAMs, existing animal and human data on coumarin were excluded. Internal concentrations (plasma C(max)) were estimated using a physiologically based kinetic model for dermally applied coumarin. Systemic toxicity was assessed using a battery of in vitro NAMs to identify points of departure (PoDs) for a variety of biological effects such as receptor-mediated and immunomodulatory effects (Eurofins SafetyScreen44 and BioMap Diversity 8 Panel, respectively), and general bioactivity (ToxCast data, an in vitro cell stress panel and high-throughput transcriptomics). In addition, in silico alerts for genotoxicity were followed up with the ToxTracker tool. The PoDs from the in vitro assays were plotted against the calculated in vivo exposure to calculate a margin of safety with associated uncertainty. The predicted C(max) values for face cream and body lotion were lower than all PoDs with margin of safety higher than 100. Furthermore, coumarin was not genotoxic, did not bind to any of the 44 receptors tested and did not show any immunomodulatory effects at consumer-relevant exposures. In conclusion, this case study demonstrated the value of integrating exposure science, computational modeling and in vitro bioactivity data, to reach a safety decision without animal data. Oxford University Press 2020-07 2020-04-10 /pmc/articles/PMC7357171/ /pubmed/32275751 http://dx.doi.org/10.1093/toxsci/kfaa048 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society of Toxicology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Regulatory Science, Risk Assessment, and Decision Making Baltazar, Maria T Cable, Sophie Carmichael, Paul L Cubberley, Richard Cull, Tom Delagrange, Mona Dent, Matthew P Hatherell, Sarah Houghton, Jade Kukic, Predrag Li, Hequn Lee, Mi-Young Malcomber, Sophie Middleton, Alistair M Moxon, Thomas E Nathanail, Alexis V Nicol, Beate Pendlington, Ruth Reynolds, Georgia Reynolds, Joe White, Andrew Westmoreland, Carl A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products |
title | A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products |
title_full | A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products |
title_fullStr | A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products |
title_full_unstemmed | A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products |
title_short | A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products |
title_sort | next-generation risk assessment case study for coumarin in cosmetic products |
topic | Regulatory Science, Risk Assessment, and Decision Making |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357171/ https://www.ncbi.nlm.nih.gov/pubmed/32275751 http://dx.doi.org/10.1093/toxsci/kfaa048 |
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