Challenges associated with applying physiologically based pharmacokinetic modeling for public health decision-making

Tan, Y; Worley, RR; Leonard, JA; Fisher, JW

HERO ID

7004906

Reference Type

Journal Article

Subtype

Review

Year

2018

Language

English

PMID

29385573

HERO ID 7004906
Material Type Review
In Press No
Year 2018
Title Challenges associated with applying physiologically based pharmacokinetic modeling for public health decision-making
Authors Tan, Y; Worley, RR; Leonard, JA; Fisher, JW
Journal Toxicological Sciences
Volume 162
Issue 2
Page Numbers 341-348
Abstract The development and application of physiologically based pharmacokinetic (PBPK) models in chemical toxicology have grown steadily since their emergence in the 1980s. However, critical evaluation of PBPK models to support public health decision-making across federal agencies has thus far occurred for only a few environmental chemicals. In order to encourage decision-makers to embrace the critical role of PBPK modeling in risk assessment, several important challenges require immediate attention from the modeling community. The objective of this contemporary review is to highlight 3 of these challenges, including: (1) difficulties in recruiting peer reviewers with appropriate modeling expertise and experience; (2) lack of confidence in PBPK models for which no tissue/plasma concentration data exist for model evaluation; and (3) lack of transferability across modeling platforms. Several recommendations for addressing these 3 issues are provided to initiate dialog among members of the PBPK modeling community, as these issues must be overcome for the field of PBPK modeling to advance and for PBPK models to be more routinely applied in support of public health decision-making.
Doi 10.1093/toxsci/kfy010
Pmid 29385573
Wosid WOS:000429021100003
Url https://academic.oup.com/toxsci/article/162/2/341/4827571
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English
Keyword physiologically based pharmacokinetic model; good modeling practice; risk assessment; intraspecies extrapolation; interspecies extrapolation