Literature DB >> 18584453

Approaches for applications of physiologically based pharmacokinetic models in risk assessment.

Chad M Thompson1, Babasaheb Sonawane, Hugh A Barton, Robert S DeWoskin, John C Lipscomb, Paul Schlosser, Weihsueh A Chiu, Kannan Krishnan.   

Abstract

Physiologically based pharmacokinetic (PBPK) models are particularly useful for simulating exposures to environmental toxicants for which, unlike pharmaceuticals, there is often little or no human data available to estimate the internal dose of a putative toxic moiety in a target tissue or an appropriate surrogate. This article reviews the current state of knowledge and approaches for application of PBPK models in the process of deriving reference dose, reference concentration, and cancer risk estimates. Examples drawn from previous U.S. Environmental Protection Agency (EPA) risk assessments and human health risk assessments in peer-reviewed literature illustrate the ways and means of using PBPK models to quantify the pharmacokinetic component of the interspecies and intraspecies uncertainty factors as well as to conduct route to route, high dose to low dose and duration extrapolations. The choice of the appropriate dose metric is key to the use of the PBPK models for the various applications in risk assessment. Issues related to whether uncertainty factors are most appropriately applied before or after derivation of human equivalent dose (or concentration) continue to be explored. Scientific progress in the understanding of life stage and genetic differences in dosimetry and their impacts on variability in susceptibility, as well as ongoing development of analytical methods to characterize uncertainty in PBPK models, will make their use in risk assessment increasingly likely. As such, it is anticipated that when PBPK models are used to express adverse tissue responses in terms of the internal target tissue dose of the toxic moiety rather than the external concentration, the scientific basis of, and confidence in, risk assessments will be enhanced.

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Year:  2008        PMID: 18584453     DOI: 10.1080/10937400701724337

Source DB:  PubMed          Journal:  J Toxicol Environ Health B Crit Rev        ISSN: 1093-7404            Impact factor:   6.393


  15 in total

Review 1.  Combining the 'bottom up' and 'top down' approaches in pharmacokinetic modelling: fitting PBPK models to observed clinical data.

Authors:  Nikolaos Tsamandouras; Amin Rostami-Hodjegan; Leon Aarons
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

2.  Recognizing the importance of exposure-dose-response dynamics for ecotoxicity assessment: nitrofurazone-induced antioxidase activity and mRNA expression in model protozoan Euplotes vannus.

Authors:  Yazhen Hong; Shuxing Liu; Xiaofeng Lin; Jiqiu Li; Zhenzhen Yi; Khaled A S Al-Rasheid
Journal:  Environ Sci Pollut Res Int       Date:  2015-01-29       Impact factor: 4.223

Review 3.  Improving the risk assessment of lipophilic persistent environmental chemicals in breast milk.

Authors:  Geniece M Lehmann; Marc-André Verner; Bryan Luukinen; Cara Henning; Sue Anne Assimon; Judy S LaKind; Eva D McLanahan; Linda J Phillips; Matthew H Davis; Christina M Powers; Erin P Hines; Sami Haddad; Matthew P Longnecker; Michael T Poulsen; David G Farrer; Satori A Marchitti; Yu-Mei Tan; Jeffrey C Swartout; Sharon K Sagiv; Clement Welsh; Jerry L Campbell; Warren G Foster; Raymond S H Yang; Suzanne E Fenton; Rogelio Tornero-Velez; Bettina M Francis; John B Barnett; Hisham A El-Masri; Jane Ellen Simmons
Journal:  Crit Rev Toxicol       Date:  2014-08       Impact factor: 5.635

4.  Methods for evaluating variability in human health dose-response characterization.

Authors:  Daniel A Axelrad; R Woodrow Setzer; Thomas F Bateson; Michael DeVito; Rebecca C Dzubow; Julie W Fitzpatrick; Alicia M Frame; Karen A Hogan; Keith Houck; Michael Stewart
Journal:  Hum Ecol Risk Assess       Date:  2019-11-06       Impact factor: 5.190

5.  Incorporation of fetal and child PFOA dosimetry in the derivation of health-based toxicity values.

Authors:  Kyra Kimberly Kieskamp; Rachel Rogers Worley; Eva D McLanahan; Marc-André Verner
Journal:  Environ Int       Date:  2018-01-08       Impact factor: 9.621

Review 6.  Challenges Associated With Applying Physiologically Based Pharmacokinetic Modeling for Public Health Decision-Making.

Authors:  Yu-Mei Tan; Rachel R Worley; Jeremy A Leonard; Jeffrey W Fisher
Journal:  Toxicol Sci       Date:  2018-04-01       Impact factor: 4.849

7.  Cutting Edge PBPK Models and Analyses: Providing the Basis for Future Modeling Efforts and Bridges to Emerging Toxicology Paradigms.

Authors:  Jane C Caldwell; Marina V Evans; Kannan Krishnan
Journal:  J Toxicol       Date:  2012-07-30

8.  A systems biology approach to dynamic modeling and inter-subject variability of statin pharmacokinetics in human hepatocytes.

Authors:  Joachim Bucher; Stephan Riedmaier; Anke Schnabel; Katrin Marcus; Gabriele Vacun; Thomas S Weiss; Wolfgang E Thasler; Andreas K Nüssler; Ulrich M Zanger; Matthias Reuss
Journal:  BMC Syst Biol       Date:  2011-05-06

9.  MEGen: A Physiologically Based Pharmacokinetic Model Generator.

Authors:  George Loizou; Alex Hogg
Journal:  Front Pharmacol       Date:  2011-11-10       Impact factor: 5.810

10.  PKQuest_Java: free, interactive physiologically based pharmacokinetic software package and tutorial.

Authors:  David G Levitt
Journal:  BMC Res Notes       Date:  2009-08-05
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