Cargando…
The application and limitations of exposure multiplication factors in sublethal effect modelling
Thanks to growing interest and research in the field, toxicokinetic–toxicodynamic (TKTD) models are close to realising their potential in environmental risk assessment (ERA) of chemicals such as plant protection products. A fundamental application is to find a multiplicative scale factor which—when...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001712/ https://www.ncbi.nlm.nih.gov/pubmed/35410996 http://dx.doi.org/10.1038/s41598-022-09907-1 |
_version_ | 1784685736030633984 |
---|---|
author | Sherborne, Neil Jager, Tjalling Goussen, Benoit Trijau, Marie Ashauer, Roman |
author_facet | Sherborne, Neil Jager, Tjalling Goussen, Benoit Trijau, Marie Ashauer, Roman |
author_sort | Sherborne, Neil |
collection | PubMed |
description | Thanks to growing interest and research in the field, toxicokinetic–toxicodynamic (TKTD) models are close to realising their potential in environmental risk assessment (ERA) of chemicals such as plant protection products. A fundamental application is to find a multiplicative scale factor which—when applied to an exposure profile—results in some specified effect relative to a control. The approach is similar to applying assessment factors to experimental results, common in regulatory frameworks. It also relies on the same core assumption: that increasing the scaling always produces more extreme effects. Unlike experimental approaches, TKTD models offer an opportunity to interrogate this assumption in a mathematically rigorous manner. For four well-known TKTD models we seek to prove that the approach guarantees a unique scale factor for any percentage effect. Somewhat surprisingly, certain model configurations may have multiple scale factors which result in the same percentage effect. These cases require a more cautious regulatory approach and generate open biological and mathematical questions. We provide examples of the violations and suggest how to deal with them. Mathematical proofs provide the strongest possible backing for TKTD modelling approaches in ERA, since the applicability of the models can be determined exactly. |
format | Online Article Text |
id | pubmed-9001712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90017122022-04-13 The application and limitations of exposure multiplication factors in sublethal effect modelling Sherborne, Neil Jager, Tjalling Goussen, Benoit Trijau, Marie Ashauer, Roman Sci Rep Article Thanks to growing interest and research in the field, toxicokinetic–toxicodynamic (TKTD) models are close to realising their potential in environmental risk assessment (ERA) of chemicals such as plant protection products. A fundamental application is to find a multiplicative scale factor which—when applied to an exposure profile—results in some specified effect relative to a control. The approach is similar to applying assessment factors to experimental results, common in regulatory frameworks. It also relies on the same core assumption: that increasing the scaling always produces more extreme effects. Unlike experimental approaches, TKTD models offer an opportunity to interrogate this assumption in a mathematically rigorous manner. For four well-known TKTD models we seek to prove that the approach guarantees a unique scale factor for any percentage effect. Somewhat surprisingly, certain model configurations may have multiple scale factors which result in the same percentage effect. These cases require a more cautious regulatory approach and generate open biological and mathematical questions. We provide examples of the violations and suggest how to deal with them. Mathematical proofs provide the strongest possible backing for TKTD modelling approaches in ERA, since the applicability of the models can be determined exactly. Nature Publishing Group UK 2022-04-11 /pmc/articles/PMC9001712/ /pubmed/35410996 http://dx.doi.org/10.1038/s41598-022-09907-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sherborne, Neil Jager, Tjalling Goussen, Benoit Trijau, Marie Ashauer, Roman The application and limitations of exposure multiplication factors in sublethal effect modelling |
title | The application and limitations of exposure multiplication factors in sublethal effect modelling |
title_full | The application and limitations of exposure multiplication factors in sublethal effect modelling |
title_fullStr | The application and limitations of exposure multiplication factors in sublethal effect modelling |
title_full_unstemmed | The application and limitations of exposure multiplication factors in sublethal effect modelling |
title_short | The application and limitations of exposure multiplication factors in sublethal effect modelling |
title_sort | application and limitations of exposure multiplication factors in sublethal effect modelling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001712/ https://www.ncbi.nlm.nih.gov/pubmed/35410996 http://dx.doi.org/10.1038/s41598-022-09907-1 |
work_keys_str_mv | AT sherborneneil theapplicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT jagertjalling theapplicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT goussenbenoit theapplicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT trijaumarie theapplicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT ashauerroman theapplicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT sherborneneil applicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT jagertjalling applicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT goussenbenoit applicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT trijaumarie applicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling AT ashauerroman applicationandlimitationsofexposuremultiplicationfactorsinsublethaleffectmodelling |