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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...

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Detalles Bibliográficos
Autores principales: McNally, Kevin, Cotton, Richard, Loizou, George D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
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.
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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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