Literature DB >> 32492150

Evaluation of 5-day In Vivo Rat Liver and Kidney With High-throughput Transcriptomics for Estimating Benchmark Doses of Apical Outcomes.

William M Gwinn1, Scott S Auerbach1, Fred Parham1, Matthew D Stout1, Suramya Waidyanatha1, Esra Mutlu1, Brad Collins1, Richard S Paules1, Bruce Alex Merrick1, Stephen Ferguson1, Sreenivasa Ramaiahgari1, John R Bucher1, Barney Sparrow2, Heather Toy2, Jenni Gorospe2, Nick Machesky2, Ruchir R Shah3, Michele R Balik-Meisner3, Deepak Mav3, Dhiral P Phadke3, Georgia Roberts1, Michael J DeVito1.   

Abstract

A 5-day in vivo rat model was evaluated as an approach to estimate chemical exposures that may pose minimal risk by comparing benchmark dose (BMD) values for transcriptional changes in the liver and kidney to BMD values for toxicological endpoints from traditional toxicity studies. Eighteen chemicals, most having been tested by the National Toxicology Program in 2-year bioassays, were evaluated. Some of these chemicals are potent hepatotoxicants (eg, DE71, PFOA, and furan) in rodents, some exhibit toxicity but have minimal hepatic effects (eg, acrylamide and α,β-thujone), and some exhibit little overt toxicity (eg, ginseng and milk thistle extract) based on traditional toxicological evaluations. Male Sprague Dawley rats were exposed once daily for 5 consecutive days by oral gavage to 8-10 dose levels for each chemical. Liver and kidney were collected 24 h after the final exposure and total RNA was assayed using high-throughput transcriptomics (HTT) with the rat S1500+ platform. HTT data were analyzed using BMD Express 2 to determine transcriptional gene set BMD values. BMDS was used to determine BMD values for histopathological effects from chronic or subchronic toxicity studies. For many of the chemicals, the lowest transcriptional BMDs from the 5-day assays were within a factor of 5 of the lowest histopathological BMDs from the toxicity studies. These data suggest that using HTT in a 5-day in vivo rat model provides reasonable estimates of BMD values for traditional apical endpoints. This approach may be useful to prioritize chemicals for further testing while providing actionable data in a timely and cost-effective manner. Published by Oxford University Press on behalf of the Society of Toxicology 2020. This work is written by US Government employees and is in the public domain in the US.

Entities:  

Keywords:  5-day HTT model; apical toxicity; benchmark dose; hepatotoxicity; high-throughput transcriptomics

Year:  2020        PMID: 32492150      PMCID: PMC7416315          DOI: 10.1093/toxsci/kfaa081

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


  18 in total

1.  Toxicology and Carcinogenesis Studies of Furan (CAS No. 110-00-9) in F344 Rats and B6C3F1 Mice(Gavage Studies).

Authors: 
Journal:  Natl Toxicol Program Tech Rep Ser       Date:  1993-01

2.  Low dose assessment of the carcinogenicity of furan in male F344/N Nctr rats in a 2-year gavage study.

Authors:  Linda S Von Tungeln; Nigel J Walker; Greg R Olson; Maria C B Mendoza; Robert P Felton; Brett T Thorn; M Matilde Marques; Igor P Pogribny; Daniel R Doerge; Frederick A Beland
Journal:  Food Chem Toxicol       Date:  2016-11-18       Impact factor: 6.023

3.  Toxicology and carcinogenesis studies of alpha,beta-thujone (CAS No. 76231-76-0) in F344/N rats and B6C3F1 mice (gavage studies).

Authors: 
Journal:  Natl Toxicol Program Tech Rep Ser       Date:  2011-11

Review 4.  Toxicology and carcinogenesis studies of milk thistle extract (CAS No. 84604-20-6) in F344/N rats and B6C3F1 mice (Feed Studies).

Authors: 
Journal:  Natl Toxicol Program Tech Rep Ser       Date:  2011-05

5.  Toxicology and carcinogenesis studies of 3,3',4,4'-tetrachloroazobenzene (TCAB) (CAS No. 14047-09-7) in Harlan Sprague-Dawley rats and B6C3F1 mice (gavage studies).

Authors: 
Journal:  Natl Toxicol Program Tech Rep Ser       Date:  2010-11

6.  NTP Toxicology and Carcinogenesis Studies of Coumarin (CAS No. 91-64-5) in F344/N Rats and B6C3F1 Mice (Gavage Studies).

Authors: 
Journal:  Natl Toxicol Program Tech Rep Ser       Date:  1993-09

7.  Toxicology and carcinogenesis studies of acrylamide (CASRN 79-06-1) in F344/N rats and B6C3F1 mice (feed and drinking water studies).

Authors: 
Journal:  Natl Toxicol Program Tech Rep Ser       Date:  2012-07

8.  Carcinogenesis Bioassay of Di(2-ethylhexyl)phthalate (CAS No. 117-81-7) in F344 Rats and B6C3F1 Mice (Feed Studies).

Authors: 
Journal:  Natl Toxicol Program Tech Rep Ser       Date:  1982-03

9.  A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics.

Authors:  Deepak Mav; Ruchir R Shah; Brian E Howard; Scott S Auerbach; Pierre R Bushel; Jennifer B Collins; David L Gerhold; Richard S Judson; Agnes L Karmaus; Elizabeth A Maull; Donna L Mendrick; B Alex Merrick; Nisha S Sipes; Daniel Svoboda; Richard S Paules
Journal:  PLoS One       Date:  2018-02-20       Impact factor: 3.240

10.  The Power of Resolution: Contextualized Understanding of Biological Responses to Liver Injury Chemicals Using High-throughput Transcriptomics and Benchmark Concentration Modeling.

Authors:  Sreenivasa C Ramaiahgari; Scott S Auerbach; Trey O Saddler; Julie R Rice; Paul E Dunlap; Nisha S Sipes; Michael J DeVito; Ruchir R Shah; Pierre R Bushel; Bruce A Merrick; Richard S Paules; Stephen S Ferguson
Journal:  Toxicol Sci       Date:  2019-06-01       Impact factor: 4.849

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  5 in total

Review 1.  Using liver models generated from human-induced pluripotent stem cells (iPSCs) for evaluating chemical-induced modifications and disease across liver developmental stages.

Authors:  Celeste K Carberry; Stephen S Ferguson; Adriana S Beltran; Rebecca C Fry; Julia E Rager
Journal:  Toxicol In Vitro       Date:  2022-06-07       Impact factor: 3.685

2.  Benchmark Concentrations for Untargeted Metabolomics Versus Transcriptomics for Liver Injury Compounds in In Vitro Liver Models.

Authors:  David M Crizer; Sreenivasa C Ramaiahgari; Stephen S Ferguson; Julie R Rice; Paul E Dunlap; Nisha S Sipes; Scott S Auerbach; Bruce Alex Merrick; Michael J DeVito
Journal:  Toxicol Sci       Date:  2021-05-27       Impact factor: 4.849

3.  Progress towards an OECD reporting framework for transcriptomics and metabolomics in regulatory toxicology.

Authors:  Joshua A Harrill; Mark R Viant; Carole L Yauk; Magdalini Sachana; Timothy W Gant; Scott S Auerbach; Richard D Beger; Mounir Bouhifd; Jason O'Brien; Lyle Burgoon; Florian Caiment; Donatella Carpi; Tao Chen; Brian N Chorley; John Colbourne; Raffaella Corvi; Laurent Debrauwer; Claire O'Donovan; Timothy M D Ebbels; Drew R Ekman; Frank Faulhammer; Laura Gribaldo; Gina M Hilton; Stephanie P Jones; Aniko Kende; Thomas N Lawson; Sofia B Leite; Pim E G Leonards; Mirjam Luijten; Alberto Martin; Laura Moussa; Serge Rudaz; Oliver Schmitz; Tomasz Sobanski; Volker Strauss; Monica Vaccari; Vikrant Vijay; Ralf J M Weber; Antony J Williams; Andrew Williams; Russell S Thomas; Maurice Whelan
Journal:  Regul Toxicol Pharmacol       Date:  2021-07-29       Impact factor: 3.598

4.  Paving the way for application of next generation risk assessment to safety decision-making for cosmetic ingredients.

Authors:  M P Dent; E Vaillancourt; R S Thomas; P L Carmichael; G Ouedraogo; H Kojima; J Barroso; J Ansell; T S Barton-Maclaren; S H Bennekou; K Boekelheide; J Ezendam; J Field; S Fitzpatrick; M Hatao; R Kreiling; M Lorencini; C Mahony; B Montemayor; R Mazaro-Costa; J Oliveira; V Rogiers; D Smegal; R Taalman; Y Tokura; R Verma; C Willett; C Yang
Journal:  Regul Toxicol Pharmacol       Date:  2021-08-10       Impact factor: 3.598

5.  A microRNA or messenger RNA point of departure estimates an apical endpoint point of departure in a rat developmental toxicity model.

Authors:  Kamin J Johnson; Eduardo Costa; Valerie Marshall; Shreedharan Sriram; Anand Venkatraman; Kenneth Stebbins; Jessica LaRocca
Journal:  Birth Defects Res       Date:  2022-05-21       Impact factor: 2.661

  5 in total

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