Literature DB >> 29385628

Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics.

John F Wambaugh1, Michael F Hughes2, Caroline L Ring1,3, Denise K MacMillan2, Jermaine Ford2, Timothy R Fennell4, Sherry R Black4, Rodney W Snyder4, Nisha S Sipes5, Barbara A Wetmore6, Joost Westerhout7, R Woodrow Setzer1, Robert G Pearce1,3, Jane Ellen Simmons2, Russell S Thomas1.   

Abstract

Prioritizing the risk posed by thousands of chemicals potentially present in the environment requires exposure, toxicity, and toxicokinetic (TK) data, which are often unavailable. Relatively high throughput, in vitro TK (HTTK) assays and in vitro-to-in vivo extrapolation (IVIVE) methods have been developed to predict TK, but most of the in vivo TK data available to benchmark these methods are from pharmaceuticals. Here we report on new, in vivo rat TK experiments for 26 non-pharmaceutical chemicals with environmental relevance. Both intravenous and oral dosing were used to calculate bioavailability. These chemicals, and an additional 19 chemicals (including some pharmaceuticals) from previously published in vivo rat studies, were systematically analyzed to estimate in vivo TK parameters (e.g., volume of distribution [Vd], elimination rate). For each of the chemicals, rat-specific HTTK data were available and key TK predictions were examined: oral bioavailability, clearance, Vd, and uncertainty. For the non-pharmaceutical chemicals, predictions for bioavailability were not effective. While no pharmaceutical was absorbed at less than 10%, the fraction bioavailable for non-pharmaceutical chemicals was as low as 0.3%. Total clearance was generally more under-estimated for nonpharmaceuticals and Vd methods calibrated to pharmaceuticals may not be appropriate for other chemicals. However, the steady-state, peak, and time-integrated plasma concentrations of nonpharmaceuticals were predicted with reasonable accuracy. The plasma concentration predictions improved when experimental measurements of bioavailability were incorporated. In summary, HTTK and IVIVE methods are adequately robust to be applied to high throughput in vitro toxicity screening data of environmentally relevant chemicals for prioritizing based on human health risks.

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Year:  2018        PMID: 29385628      PMCID: PMC5920326          DOI: 10.1093/toxsci/kfy020

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  55 in total

1.  Practical use of the regression offset approach for the prediction of in vivo intrinsic clearance from hepatocytes.

Authors:  Anna-Karin Sohlenius-Sternbeck; Christopher Jones; Douglas Ferguson; Brian J Middleton; Denis Projean; Eva Floby; Johan Bylund; Lovisa Afzelius
Journal:  Xenobiotica       Date:  2012-04-18       Impact factor: 1.908

Review 2.  Physiologically based pharmacokinetics joined with in vitro-in vivo extrapolation of ADME: a marriage under the arch of systems pharmacology.

Authors:  A Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2012-05-30       Impact factor: 6.875

3.  Pharmacokinetic modeling of saturable, renal resorption of perfluoroalkylacids in monkeys--probing the determinants of long plasma half-lives.

Authors:  Melvin E Andersen; Harvey J Clewell; Yu-Mei Tan; John L Butenhoff; Geary W Olsen
Journal:  Toxicology       Date:  2006-08-12       Impact factor: 4.221

4.  Prediction of modified release pharmacokinetics and pharmacodynamics from in vitro, immediate release, and intravenous data.

Authors:  Viera Lukacova; Walter S Woltosz; Michael B Bolger
Journal:  AAPS J       Date:  2009-05-09       Impact factor: 4.009

Review 5.  Dose metric considerations in in vitro assays to improve quantitative in vitro-in vivo dose extrapolations.

Authors:  Floris A Groothuis; Minne B Heringa; Beate Nicol; Joop L M Hermens; Bas J Blaauboer; Nynke I Kramer
Journal:  Toxicology       Date:  2013-08-23       Impact factor: 4.221

6.  Evaluation of simple in vitro to in vivo extrapolation approaches for environmental compounds.

Authors:  Miyoung Yoon; Alina Efremenko; Bas J Blaauboer; Harvey J Clewell
Journal:  Toxicol In Vitro       Date:  2013-11-08       Impact factor: 3.500

7.  Lead- and drug-like compounds: the rule-of-five revolution.

Authors:  Christopher A Lipinski
Journal:  Drug Discov Today Technol       Date:  2004-12

8.  Data set modelability by QSAR.

Authors:  Alexander Golbraikh; Eugene Muratov; Denis Fourches; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2014-01-08       Impact factor: 4.956

9.  Pharmacokinetic disposition and tissue distribution of bisphenol A in rats after intravenous administration.

Authors:  S D Yoo; B S Shin; S J Kwack; B M Lee; K L Park; S Y Han; H S Kim
Journal:  J Toxicol Environ Health A       Date:  2000-09-29

10.  High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling.

Authors:  Cory L Strope; Kamel Mansouri; Harvey J Clewell; James R Rabinowitz; Caroline Stevens; John F Wambaugh
Journal:  Sci Total Environ       Date:  2017-09-29       Impact factor: 7.963

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  29 in total

1.  2018 Toxicological Sciences Papers of the Year.

Authors:  Wei Zheng; Gary W Miller
Journal:  Toxicol Sci       Date:  2019-04-01       Impact factor: 4.849

2.  The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.

Authors:  Russell S Thomas; Tina Bahadori; Timothy J Buckley; John Cowden; Chad Deisenroth; Kathie L Dionisio; Jeffrey B Frithsen; Christopher M Grulke; Maureen R Gwinn; Joshua A Harrill; Mark Higuchi; Keith A Houck; Michael F Hughes; E Sidney Hunter; Kristin K Isaacs; Richard S Judson; Thomas B Knudsen; Jason C Lambert; Monica Linnenbrink; Todd M Martin; Seth R Newton; Stephanie Padilla; Grace Patlewicz; Katie Paul-Friedman; Katherine A Phillips; Ann M Richard; Reeder Sams; Timothy J Shafer; R Woodrow Setzer; Imran Shah; Jane E Simmons; Steven O Simmons; Amar Singh; Jon R Sobus; Mark Strynar; Adam Swank; Rogelio Tornero-Valez; Elin M Ulrich; Daniel L Villeneuve; John F Wambaugh; Barbara A Wetmore; Antony J Williams
Journal:  Toxicol Sci       Date:  2019-06-01       Impact factor: 4.849

3.  Evaluating Sufficient Similarity of Botanical Dietary Supplements: Combining Chemical and In Vitro Biological Data.

Authors:  Kristen R Ryan; Madelyn C Huang; Stephen S Ferguson; Suramya Waidyanatha; Sreenivasa Ramaiahgari; Julie R Rice; Paul E Dunlap; Scott S Auerbach; Esra Mutlu; Tim Cristy; Jessica Peirfelice; Michael J DeVito; Stephanie L Smith-Roe; Cynthia V Rider
Journal:  Toxicol Sci       Date:  2019-12-01       Impact factor: 4.849

4.  Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization.

Authors:  John F Wambaugh; Barbara A Wetmore; Caroline L Ring; Chantel I Nicolas; Robert G Pearce; Gregory S Honda; Roger Dinallo; Derek Angus; Jon Gilbert; Teresa Sierra; Akshay Badrinarayanan; Bradley Snodgrass; Adam Brockman; Chris Strock; R Woodrow Setzer; Russell S Thomas
Journal:  Toxicol Sci       Date:  2019-12-01       Impact factor: 4.849

5.  Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels.

Authors:  Ly Ly Pham; Sean Watford; Prachi Pradeep; Matthew T Martin; Russell Thomas; Richard Judson; R Woodrow Setzer; Katie Paul Friedman
Journal:  Comput Toxicol       Date:  2020-08-01

6.  Implementing in vitro bioactivity data to modernize priority setting of chemical inventories.

Authors:  Marc A Beal; Matthew Gagne; Sunil A Kulkarni; Grace Patlewicz; Russell S Thomas; Tara S Barton-Maclaren
Journal:  ALTEX       Date:  2021-11-23       Impact factor: 6.043

7.  Utility of In Vitro Bioactivity as a Lower Bound Estimate of In Vivo Adverse Effect Levels and in Risk-Based Prioritization.

Authors:  Katie Paul Friedman; Matthew Gagne; Lit-Hsin Loo; Panagiotis Karamertzanis; Tatiana Netzeva; Tomasz Sobanski; Jill A Franzosa; Ann M Richard; Ryan R Lougee; Andrea Gissi; Jia-Ying Joey Lee; Michelle Angrish; Jean Lou Dorne; Stiven Foster; Kathleen Raffaele; Tina Bahadori; Maureen R Gwinn; Jason Lambert; Maurice Whelan; Mike Rasenberg; Tara Barton-Maclaren; Russell S Thomas
Journal:  Toxicol Sci       Date:  2020-01-01       Impact factor: 4.849

8.  Closing the gap between in vivo and in vitro omics: using QA/QC to strengthen ex vivo NMR metabolomics.

Authors:  Amith Sadananda Maroli; Robert Powers
Journal:  NMR Biomed       Date:  2021-08-08       Impact factor: 4.044

9.  Evolving Science and Practice of Risk Assessment.

Authors:  Katherine von Stackelberg; Pamela R D Williams
Journal:  Risk Anal       Date:  2020-12-08       Impact factor: 4.000

10.  Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high-throughput toxicokinetics.

Authors:  Caroline Ring; Nisha S Sipes; Jui-Hua Hsieh; Celeste Carberry; Lauren E Koval; William D Klaren; Mark A Harris; Scott S Auerbach; Julia E Rager
Journal:  Comput Toxicol       Date:  2021-03-19
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