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A Workflow for Global Sensitivity Analysis of PBPK Models
Physiologically based pharmacokinetic (PBPK) models have a potentially significant role in the development of a reliable predictive toxicity testing strategy. The structure of PBPK models are ideal frameworks into which disparate in vitro and in vivo data can be integrated and utilized to translate...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128931/ https://www.ncbi.nlm.nih.gov/pubmed/21772819 http://dx.doi.org/10.3389/fphar.2011.00031 |
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author | McNally, Kevin Cotton, Richard Loizou, George D. |
author_facet | McNally, Kevin Cotton, Richard Loizou, George D. |
author_sort | McNally, Kevin |
collection | PubMed |
description | Physiologically based pharmacokinetic (PBPK) models have a potentially significant role in the development of a reliable predictive toxicity testing strategy. The structure of PBPK models are ideal frameworks into which disparate in vitro and in vivo data can be integrated and utilized to translate information generated, using alternative to animal measures of toxicity and human biological monitoring data, into plausible corresponding exposures. However, these models invariably include the description of well known non-linear biological processes such as, enzyme saturation and interactions between parameters such as, organ mass and body mass. Therefore, an appropriate sensitivity analysis (SA) technique is required which can quantify the influences associated with individual parameters, interactions between parameters and any non-linear processes. In this report we have defined the elements of a workflow for SA of PBPK models that is computationally feasible, accounts for interactions between parameters, and can be displayed in the form of a bar chart and cumulative sum line (Lowry plot), which we believe is intuitive and appropriate for toxicologists, risk assessors, and regulators. |
format | Online Article Text |
id | pubmed-3128931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31289312011-07-19 A Workflow for Global Sensitivity Analysis of PBPK Models McNally, Kevin Cotton, Richard Loizou, George D. Front Pharmacol Pharmacology Physiologically based pharmacokinetic (PBPK) models have a potentially significant role in the development of a reliable predictive toxicity testing strategy. The structure of PBPK models are ideal frameworks into which disparate in vitro and in vivo data can be integrated and utilized to translate information generated, using alternative to animal measures of toxicity and human biological monitoring data, into plausible corresponding exposures. However, these models invariably include the description of well known non-linear biological processes such as, enzyme saturation and interactions between parameters such as, organ mass and body mass. Therefore, an appropriate sensitivity analysis (SA) technique is required which can quantify the influences associated with individual parameters, interactions between parameters and any non-linear processes. In this report we have defined the elements of a workflow for SA of PBPK models that is computationally feasible, accounts for interactions between parameters, and can be displayed in the form of a bar chart and cumulative sum line (Lowry plot), which we believe is intuitive and appropriate for toxicologists, risk assessors, and regulators. Frontiers Research Foundation 2011-06-23 /pmc/articles/PMC3128931/ /pubmed/21772819 http://dx.doi.org/10.3389/fphar.2011.00031 Text en Copyright © 2011 McNally, Cotton and Loizou. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with. |
spellingShingle | Pharmacology McNally, Kevin Cotton, Richard Loizou, George D. A Workflow for Global Sensitivity Analysis of PBPK Models |
title | A Workflow for Global Sensitivity Analysis of PBPK Models |
title_full | A Workflow for Global Sensitivity Analysis of PBPK Models |
title_fullStr | A Workflow for Global Sensitivity Analysis of PBPK Models |
title_full_unstemmed | A Workflow for Global Sensitivity Analysis of PBPK Models |
title_short | A Workflow for Global Sensitivity Analysis of PBPK Models |
title_sort | workflow for global sensitivity analysis of pbpk models |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128931/ https://www.ncbi.nlm.nih.gov/pubmed/21772819 http://dx.doi.org/10.3389/fphar.2011.00031 |
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