Literature DB >> 31532525

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

Katie Paul Friedman1, Matthew Gagne2, Lit-Hsin Loo3, Panagiotis Karamertzanis4, Tatiana Netzeva4, Tomasz Sobanski4, Jill A Franzosa5, Ann M Richard1, Ryan R Lougee1,6, Andrea Gissi4, Jia-Ying Joey Lee3, Michelle Angrish7, Jean Lou Dorne8, Stiven Foster9, Kathleen Raffaele9, Tina Bahadori6, Maureen R Gwinn1, Jason Lambert1, Maurice Whelan10, Mike Rasenberg4, Tara Barton-Maclaren2, Russell S Thomas1.   

Abstract

Use of high-throughput, in vitro bioactivity data in setting a point-of-departure (POD) has the potential to accelerate the pace of human health safety evaluation by informing screening-level assessments. The primary objective of this work was to compare PODs based on high-throughput predictions of bioactivity, exposure predictions, and traditional hazard information for 448 chemicals. PODs derived from new approach methodologies (NAMs) were obtained for this comparison using the 50th (PODNAM, 50) and the 95th (PODNAM, 95) percentile credible interval estimates for the steady-state plasma concentration used in in vitro to in vivo extrapolation of administered equivalent doses. Of the 448 substances, 89% had a PODNAM, 95 that was less than the traditional POD (PODtraditional) value. For the 48 substances for which PODtraditional < PODNAM, 95, the PODNAM and PODtraditional were typically within a factor of 10 of each other, and there was an enrichment of chemical structural features associated with organophosphate and carbamate insecticides. When PODtraditional < PODNAM, 95, it did not appear to result from an enrichment of PODtraditional based on a particular study type (eg, developmental, reproductive, and chronic studies). Bioactivity:exposure ratios, useful for identification of substances with potential priority, demonstrated that high-throughput exposure predictions were greater than the PODNAM, 95 for 11 substances. When compared with threshold of toxicological concern (TTC) values, the PODNAM, 95 was greater than the corresponding TTC value 90% of the time. This work demonstrates the feasibility, and continuing challenges, of using in vitro bioactivity as a protective estimate of POD in screening-level assessments via a case study. Published by Oxford University Press on behalf of the Society of Toxicology 2019. This work is written by US Government employees and is in the public domain in the US.

Entities:  

Keywords:  high-throughput screening; high-throughput toxicokinetics; new approach methodologies; point-of-departure (POD); threshold of toxicological concern (TTC)

Mesh:

Substances:

Year:  2020        PMID: 31532525      PMCID: PMC7720780          DOI: 10.1093/toxsci/kfz201

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


  64 in total

1.  Confidence assessment of the Simcyp time-based approach and a static mathematical model in predicting clinical drug-drug interactions for mechanism-based CYP3A inhibitors.

Authors:  Ying-Hong Wang
Journal:  Drug Metab Dispos       Date:  2010-04-05       Impact factor: 3.922

2.  New publicly available chemical query language, CSRML, to support chemotype representations for application to data mining and modeling.

Authors:  Chihae Yang; Aleksey Tarkhov; Jörg Marusczyk; Bruno Bienfait; Johann Gasteiger; Thomas Kleinoeder; Tomasz Magdziarz; Oliver Sacher; Christof H Schwab; Johannes Schwoebel; Lothar Terfloth; Kirk Arvidson; Ann Richard; Andrew Worth; James Rathman
Journal:  J Chem Inf Model       Date:  2015-02-19       Impact factor: 4.956

3.  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

4.  Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model.

Authors:  Patience Browne; Richard S Judson; Warren M Casey; Nicole C Kleinstreuer; Russell S Thomas
Journal:  Environ Sci Technol       Date:  2015-06-26       Impact factor: 9.028

5.  Guidance for the identification of endocrine disruptors in the context of Regulations (EU) No 528/2012 and (EC) No 1107/2009.

Authors:  Niklas Andersson; Maria Arena; Domenica Auteri; Stefania Barmaz; Elise Grignard; Aude Kienzler; Peter Lepper; Alfonso Maria Lostia; Sharon Munn; Juan Manuel Parra Morte; Francesca Pellizzato; Jose Tarazona; Andrea Terron; Sander Van der Linden
Journal:  EFSA J       Date:  2018-06-07

6.  Modeling Exposure in the Tox21 in Vitro Bioassays.

Authors:  Fabian C Fischer; Luise Henneberger; Maria König; Kai Bittermann; Lukas Linden; Kai-Uwe Goss; Beate I Escher
Journal:  Chem Res Toxicol       Date:  2017-04-24       Impact factor: 3.739

7.  ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.

Authors:  Ann M Richard; Richard S Judson; Keith A Houck; Christopher M Grulke; Patra Volarath; Inthirany Thillainadarajah; Chihae Yang; James Rathman; Matthew T Martin; John F Wambaugh; Thomas B Knudsen; Jayaram Kancherla; Kamel Mansouri; Grace Patlewicz; Antony J Williams; Stephen B Little; Kevin M Crofton; Russell S Thomas
Journal:  Chem Res Toxicol       Date:  2016-07-20       Impact factor: 3.739

Review 8.  In vitro to in vivo extrapolation for high throughput prioritization and decision making.

Authors:  Shannon M Bell; Xiaoqing Chang; John F Wambaugh; David G Allen; Mike Bartels; Kim L R Brouwer; Warren M Casey; Neepa Choksi; Stephen S Ferguson; Grazyna Fraczkiewicz; Annie M Jarabek; Alice Ke; Annie Lumen; Scott G Lynn; Alicia Paini; Paul S Price; Caroline Ring; Ted W Simon; Nisha S Sipes; Catherine S Sprankle; Judy Strickland; John Troutman; Barbara A Wetmore; Nicole C Kleinstreuer
Journal:  Toxicol In Vitro       Date:  2017-12-05       Impact factor: 3.500

9.  The US Federal Tox21 Program: A strategic and operational plan for continued leadership.

Authors:  Russell S Thomas; Richard S Paules; Anton Simeonov; Suzanne C Fitzpatrick; Kevin M Crofton; Warren M Casey; Donna L Mendrick
Journal:  ALTEX       Date:  2018-03-08       Impact factor: 6.043

10.  Profiling chemicals based on chronic toxicity results from the U.S. EPA ToxRef Database.

Authors:  Matthew T Martin; Richard S Judson; David M Reif; Robert J Kavlock; David J Dix
Journal:  Environ Health Perspect       Date:  2008-10-20       Impact factor: 9.031

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  36 in total

1.  Risk Characterization of Environmental Samples Using In Vitro Bioactivity and Polycyclic Aromatic Hydrocarbon Concentrations Data.

Authors:  Zunwei Chen; Dillon Lloyd; Yi-Hui Zhou; Weihsueh A Chiu; Fred A Wright; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2021-01-06       Impact factor: 4.849

2.  In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity.

Authors:  Arianna Bassan; Vinicius M Alves; Alexander Amberg; Lennart T Anger; Scott Auerbach; Lisa Beilke; Andreas Bender; Mark T D Cronin; Kevin P Cross; Jui-Hua Hsieh; Nigel Greene; Raymond Kemper; Marlene T Kim; Moiz Mumtaz; Tobias Noeske; Manuela Pavan; Julia Pletz; Daniel P Russo; Yogesh Sabnis; Markus Schaefer; David T Szabo; Jean-Pierre Valentin; Joerg Wichard; Dominic Williams; David Woolley; Craig Zwickl; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2021-09-09

3.  Quantitative non-targeted analysis: Bridging the gap between contaminant discovery and risk characterization.

Authors:  James P McCord; Louis C Groff; Jon R Sobus
Journal:  Environ Int       Date:  2021-12-02       Impact factor: 9.621

4.  Incorporating human exposure information in a weight of evidence approach to inform design of repeated dose animal studies.

Authors:  Kelly Lowe; Jeffrey Dawson; Katherine Phillips; Jeffrey Minucci; John F Wambaugh; Hua Qian; Tharacad Ramanarayanan; Peter Egeghy; Brandall Ingle; Rachel Brunner; Elizabeth Mendez; Michelle Embry; Yu-Mei Tan
Journal:  Regul Toxicol Pharmacol       Date:  2021-10-29       Impact factor: 3.271

5.  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

Review 6.  FutureTox IV Workshop Summary: Predictive Toxicology for Healthy Children.

Authors:  Thomas B Knudsen; Suzanne Compton Fitzpatrick; K Nadira De Abrew; Linda S Birnbaum; Anne Chappelle; George P Daston; Dana C Dolinoy; Alison Elder; Susan Euling; Elaine M Faustman; Kristi Pullen Fedinick; Jill A Franzosa; Derik E Haggard; Laurie Haws; Nicole C Kleinstreuer; Germaine M Buck Louis; Donna L Mendrick; Ruthann Rudel; Katerine S Saili; Thaddeus T Schug; Robyn L Tanguay; Alexandra E Turley; Barbara A Wetmore; Kimberly W White; Todd J Zurlinden
Journal:  Toxicol Sci       Date:  2021-04-12       Impact factor: 4.849

7.  Elucidation of the Effects of Bisphenol A and Structural Analogs on Germ and Steroidogenic Cells Using Single Cell High-Content Imaging.

Authors:  Abishankari Rajkumar; Trang Luu; Marc A Beal; Tara S Barton-Maclaren; Bernard Robaire; Barbara F Hales
Journal:  Toxicol Sci       Date:  2021-04-12       Impact factor: 4.849

8.  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

9.  Chemical Characterization of Recycled Consumer Products Using Suspect Screening Analysis.

Authors:  Charles N Lowe; Katherine A Phillips; Kristin A Favela; Alice Y Yau; John F Wambaugh; Jon R Sobus; Antony J Williams; Ashley J Pfirrman; Kristin K Isaacs
Journal:  Environ Sci Technol       Date:  2021-08-04       Impact factor: 11.357

10.  Development of a prioritization method for chemical-mediated effects on steroidogenesis using an integrated statistical analysis of high-throughput H295R data.

Authors:  Derik E Haggard; R Woodrow Setzer; Richard S Judson; Katie Paul Friedman
Journal:  Regul Toxicol Pharmacol       Date:  2019-10-29       Impact factor: 3.271

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