Literature DB >> 32521033

Rapid hazard characterization of environmental chemicals using a compendium of human cell lines from different organs

Zunwei Chen1,2, Yizhong Liu1,2, Fred A Wright3,4, Weihsueh A Chiu1,2, Ivan Rusyn1,2.   

Abstract

The lack of adequate toxicity data for the vast majority of chemicals in the environment has spurred the development of new approach methodologies (NAMs). This study aimed to develop a practical high-throughput in vitro model for rapidly evaluating potential hazards of chemicals using a small number of human cells. Forty-two compounds were tested using human induced pluripotent stem cell (iPSC)-derived cells (hepatocytes, neurons, cardiomyocytes and endothelial cells), and a primary endothelial cell line. Both functional and cytotoxicity endpoints were evaluated using high-content imaging. Concentration-response was used to derive points-of-departure (POD). PODs were integrated with ToxPi and used as surrogate NAM-based PODs for risk characterization. We found chemical class-specific similarity among the chemicals tested; metal salts exhibited the highest overall bioactivity. We also observed cell type-specific patterns among classes of chemicals, indicating the ability of the proposed in vitro model to recognize effects on different cell types. Compared to available NAM datasets, such as ToxCast/Tox21 and chemical structure-based descriptors, we found that the data from the five-cell-type model was as good or even better in assigning compounds to chemical classes. Additionally, the PODs from this model performed well as a conservative surrogate for regulatory in vivo PODs and were less likely to underestimate in vivo potency and potential risk compared to other NAM-based PODs. In summary, we demonstrate the potential of this in vitro screening model to inform rapid risk-based decision-making through ranking, clustering, and assessment of both hazard and risks of diverse environmental chemicals.

Entities:  

Year:  2020        PMID: 32521033      PMCID: PMC7941183          DOI: 10.14573/altex.2002291

Source DB:  PubMed          Journal:  ALTEX        ISSN: 1868-596X            Impact factor:   6.043


  69 in total

1.  Use of high-throughput in vitro toxicity screening data in cancer hazard evaluations by IARC Monograph Working Groups.

Authors:  Weihsueh A Chiu; Kathryn Z Guyton; Matthew T Martin; David M Reif; Ivan Rusyn
Journal:  ALTEX       Date:  2017-07-24       Impact factor: 6.043

2.  Evaluation of androgen assay results using a curated Hershberger database.

Authors:  N C Kleinstreuer; P Browne; X Chang; R Judson; W Casey; P Ceger; C Deisenroth; N Baker; K Markey; R S Thomas
Journal:  Reprod Toxicol       Date:  2018-09-08       Impact factor: 3.143

Review 3.  Quantitative in vitro-to-in vivo extrapolation in a high-throughput environment.

Authors:  Barbara A Wetmore
Journal:  Toxicology       Date:  2014-06-05       Impact factor: 4.221

Review 4.  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

5.  Advancing chemical risk assessment decision-making with population variability data: challenges and opportunities.

Authors:  Weihsueh A Chiu; Ivan Rusyn
Journal:  Mamm Genome       Date:  2018-01-03       Impact factor: 2.957

6.  Beyond the 3Rs: Expanding the use of human-relevant replacement methods in biomedical research.

Authors:  Kathrin Herrmann; Francesca Pistollato; Martin L Stephens
Journal:  ALTEX       Date:  2019       Impact factor: 6.043

Review 7.  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

Review 8.  Predictive models and computational toxicology.

Authors:  Thomas Knudsen; Matthew Martin; Kelly Chandler; Nicole Kleinstreuer; Richard Judson; Nisha Sipes
Journal:  Methods Mol Biol       Date:  2013

9.  Versatile synthetic alternatives to Matrigel for vascular toxicity screening and stem cell expansion.

Authors:  Eric H Nguyen; William T Daly; Ngoc Nhi T Le; Mitra Farnoodian; David G Belair; Michael P Schwartz; Connie S Lebakken; Gene E Ananiev; Mohammad Ali Saghiri; Thomas B Knudsen; Nader Sheibani; William L Murphy
Journal:  Nat Biomed Eng       Date:  2017-07-11       Impact factor: 25.671

10.  New Toxicology Tools and the Emerging Paradigm Shift in Environmental Health Decision-Making.

Authors:  Gary L Ginsberg; Kristi Pullen Fedinick; Gina M Solomon; Kevin C Elliott; John J Vandenberg; Stan Barone; John R Bucher
Journal:  Environ Health Perspect       Date:  2019-12-13       Impact factor: 9.031

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  9 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.  Cardiotoxicity Hazard and Risk Characterization of ToxCast Chemicals Using Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes from Multiple Donors.

Authors:  Sarah D Burnett; Alexander D Blanchette; Weihsueh A Chiu; Ivan Rusyn
Journal:  Chem Res Toxicol       Date:  2021-08-27       Impact factor: 3.739

4.  Quality Control for Single Cell Imaging Analytics Using Endocrine Disruptor-Induced Changes in Estrogen Receptor Expression.

Authors:  Fabio Stossi; Pankaj K Singh; Ragini M Mistry; Hannah L Johnson; Radhika D Dandekar; Maureen G Mancini; Adam T Szafran; Arvind U Rao; Michael A Mancini
Journal:  Environ Health Perspect       Date:  2022-02-15       Impact factor: 9.031

5.  Grouping of UVCB substances with dose-response transcriptomics data from human cell-based assays.

Authors:  John S House; Fabian A Grimm; William D Klaren; Abigail Dalzell; Srikeerthana Kuchi; Shu-Dong Zhang; Klaus Lenz; Peter J Boogaard; Hans B Ketelslegers; Timothy W Gant; Ivan Rusyn; Fred A Wright
Journal:  ALTEX       Date:  2022-03-10       Impact factor: 6.250

6.  A Population-Based Human In Vitro Approach to Quantify Inter-Individual Variability in Responses to Chemical Mixtures.

Authors:  Lucie C Ford; Suji Jang; Zunwei Chen; Yi-Hui Zhou; Paul J Gallins; Fred A Wright; Weihsueh A Chiu; Ivan Rusyn
Journal:  Toxics       Date:  2022-08-01

7.  Sensitive image-based chromatin binding assays using inducible ERα to rapidly characterize estrogenic chemicals and mixtures.

Authors:  Adam T Szafran; Maureen G Mancini; Fabio Stossi; Michael A Mancini
Journal:  iScience       Date:  2022-09-23

8.  Grouping of UVCB substances with new approach methodologies (NAMs) data.

Authors:  John S House; Fabian A Grimm; William D Klaren; Abigail Dalzell; Srikeerthana Kuchi; Shu-Dong Zhang; Klaus Lenz; Peter J Boogaard; Hans B Ketelslegers; Timothy W Gant; Fred A Wright; Ivan Rusyn
Journal:  ALTEX       Date:  2020-10-09       Impact factor: 6.043

9.  Potential Human Health Hazard of Post-Hurricane Harvey Sediments in Galveston Bay and Houston Ship Channel: A Case Study of Using In Vitro Bioactivity Data to Inform Risk Management Decisions.

Authors:  Zunwei Chen; Suji Jang; James M Kaihatu; Yi-Hui Zhou; Fred A Wright; Weihsueh A Chiu; Ivan Rusyn
Journal:  Int J Environ Res Public Health       Date:  2021-12-19       Impact factor: 3.390

  9 in total

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