Literature DB >> 21384849

Estimating toxicity-related biological pathway altering doses for high-throughput chemical risk assessment.

Richard S Judson1, Robert J Kavlock, R Woodrow Setzer, Elaine A Cohen Hubal, Matthew T Martin, Thomas B Knudsen, Keith A Houck, Russell S Thomas, Barbara A Wetmore, David J Dix.   

Abstract

We describe a framework for estimating the human dose at which a chemical significantly alters a biological pathway in vivo, making use of in vitro assay data and an in vitro-derived pharmacokinetic model, coupled with estimates of population variability and uncertainty. The quantity we calculate, the biological pathway altering dose (BPAD), is analogous to current risk assessment metrics in that it combines dose-response data with analysis of uncertainty and population variability to arrive at conservative exposure limits. The analogy is closest when perturbation of a pathway is a key event in the mode of action (MOA) leading to a specified adverse outcome. Because BPADs are derived from relatively inexpensive, high-throughput screening (HTS) in vitro data, this approach can be applied to high-throughput risk assessments (HTRA) for thousands of data-poor environmental chemicals. We envisage the first step of HTRA to be an assessment of in vitro concentration-response relationships across biologically important pathways to derive biological pathway altering concentrations (BPAC). Pharmacokinetic (PK) modeling is then used to estimate the in vivo doses required to achieve the BPACs in the blood at steady state. Uncertainty and variability are incorporated in both the BPAC and the PK parameters and then combined to yield a probability distribution for the dose required to perturb the critical pathway. We finally define the BPADL as the lower confidence bound of this pathway-altering dose. This perspective outlines a framework for using HTRA to estimate BPAD values; provides examples of the use of this approach, including a comparison of BPAD values with published dose-response data from in vivo studies; and discusses challenges and alternative formulations.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21384849     DOI: 10.1021/tx100428e

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  70 in total

1.  Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor.

Authors:  Richard S Judson; Felicia Maria Magpantay; Vijay Chickarmane; Cymra Haskell; Nessy Tania; Jean Taylor; Menghang Xia; Ruili Huang; Daniel M Rotroff; Dayne L Filer; Keith A Houck; Matthew T Martin; Nisha Sipes; Ann M Richard; Kamel Mansouri; R Woodrow Setzer; Thomas B Knudsen; Kevin M Crofton; Russell S Thomas
Journal:  Toxicol Sci       Date:  2015-08-13       Impact factor: 4.849

2.  FutureTox: building the road for 21st century toxicology and risk assessment practices.

Authors:  J Craig Rowlands; Miriam Sander; James S Bus
Journal:  Toxicol Sci       Date:  2013-11-07       Impact factor: 4.849

3.  Toxicokinetic Triage for Environmental Chemicals.

Authors:  John F Wambaugh; Barbara A Wetmore; Robert Pearce; Cory Strope; Rocky Goldsmith; James P Sluka; Alexander Sedykh; Alex Tropsha; Sieto Bosgra; Imran Shah; Richard Judson; Russell S Thomas; R Woodrow Setzer
Journal:  Toxicol Sci       Date:  2015-06-16       Impact factor: 4.849

Review 4.  Progress in data interoperability to support computational toxicology and chemical safety evaluation.

Authors:  Sean Watford; Stephen Edwards; Michelle Angrish; Richard S Judson; Katie Paul Friedman
Journal:  Toxicol Appl Pharmacol       Date:  2019-08-09       Impact factor: 4.219

5.  Determination of chemical-disease risk values to prioritize connections between environmental factors, genetic variants, and human diseases.

Authors:  Marissa B Kosnik; David M Reif
Journal:  Toxicol Appl Pharmacol       Date:  2019-07-16       Impact factor: 4.219

6.  Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability.

Authors:  Caroline L Ring; Robert G Pearce; R Woodrow Setzer; Barbara A Wetmore; John F Wambaugh
Journal:  Environ Int       Date:  2017-06-16       Impact factor: 9.621

7.  Quantitative high-throughput screening for chemical toxicity in a population-based in vitro model.

Authors:  Eric F Lock; Nour Abdo; Ruili Huang; Menghang Xia; Oksana Kosyk; Shannon H O'Shea; Yi-Hui Zhou; Alexander Sedykh; Alexander Tropsha; Christopher P Austin; Raymond R Tice; Fred A Wright; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2012-01-19       Impact factor: 4.849

8.  In vitro screening for population variability in toxicity of pesticide-containing mixtures.

Authors:  Nour Abdo; Barbara A Wetmore; Grace A Chappell; Damian Shea; Fred A Wright; Ivan Rusyn
Journal:  Environ Int       Date:  2015-09-19       Impact factor: 9.621

9.  Conceptual Framework To Extend Life Cycle Assessment Using Near-Field Human Exposure Modeling and High-Throughput Tools for Chemicals.

Authors:  Susan A Csiszar; David E Meyer; Kathie L Dionisio; Peter Egeghy; Kristin K Isaacs; Paul S Price; Kelly A Scanlon; Yu-Mei Tan; Kent Thomas; Daniel Vallero; Jane C Bare
Journal:  Environ Sci Technol       Date:  2016-10-18       Impact factor: 9.028

Review 10.  Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.

Authors:  Yen Sia Low; Alexander Yeugenyevich Sedykh; Ivan Rusyn; Alexander Tropsha
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.