Literature DB >> 25605027

Integrating toxicogenomics into human health risk assessment: lessons learned from the benzo[a]pyrene case study.

Nikolai L Chepelev1, Ivy D Moffat, Sarah Labib, Julie Bourdon-Lacombe, Byron Kuo, Julie K Buick, France Lemieux, Amal I Malik, Sabina Halappanavar, Andrew Williams, Carole L Yauk.   

Abstract

The use of short-term toxicogenomic tests to predict cancer (or other health effects) offers considerable advantages relative to traditional toxicity testing methods. The advantages include increased throughput, increased mechanistic data, and significantly reduced costs. However, precisely how toxicogenomics data can be used to support human health risk assessment (RA) is unclear. In a companion paper ( Moffat et al. 2014 ), we present a case study evaluating the utility of toxicogenomics in the RA of benzo[a]pyrene (BaP), a known human carcinogen. The case study is meant as a proof-of-principle exercise using a well-established mode of action (MOA) that impacts multiple tissues, which should provide a best case example. We found that toxicogenomics provided rich mechanistic data applicable to hazard identification, dose-response analysis, and quantitative RA of BaP. Based on this work, here we share some useful lessons for both research and RA, and outline our perspective on how toxicogenomics can benefit RA in the short- and long-term. Specifically, we focus on (1) obtaining biologically relevant data that are readily suitable for establishing an MOA for toxicants, (2) examining the human relevance of an MOA from animal testing, and (3) proposing appropriate quantitative values for RA. We describe our envisioned strategy on how toxicogenomics can become a tool in RA, especially when anchored to other short-term toxicity tests (apical endpoints) to increase confidence in the proposed MOA, and emphasize the need for additional studies on other MOAs to define the best practices in the application of toxicogenomics in RA.

Entities:  

Keywords:  benchmark dose; carcinogens; dose–response; environmental pollutant; genotoxicity; mode of action; point of departure; polycyclic aromatic hydrocarbon

Mesh:

Substances:

Year:  2015        PMID: 25605027     DOI: 10.3109/10408444.2014.973935

Source DB:  PubMed          Journal:  Crit Rev Toxicol        ISSN: 1040-8444            Impact factor:   5.635


  11 in total

1.  A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure.

Authors:  Kamin J Johnson; Scott S Auerbach; Eduardo Costa
Journal:  Toxicol Sci       Date:  2020-07-01       Impact factor: 4.849

2.  Technical guide for applications of gene expression profiling in human health risk assessment of environmental chemicals.

Authors:  Julie A Bourdon-Lacombe; Ivy D Moffat; Michelle Deveau; Mainul Husain; Scott Auerbach; Daniel Krewski; Russell S Thomas; Pierre R Bushel; Andrew Williams; Carole L Yauk
Journal:  Regul Toxicol Pharmacol       Date:  2015-05-02       Impact factor: 3.271

3.  GADD45 in Stress Signaling, Cell Cycle Control, and Apoptosis.

Authors:  Arslon Humayun; Albert J Fornace
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

4.  Cyclodextrin-Promoted Fluorescence Detection of Aromatic Toxicants and Toxicant Metabolites in Commercial Milk Products.

Authors:  Dana J DiScenza; Julie Lynch; Molly Verderame; Melissa A Smith; Mindy Levine
Journal:  Food Anal Methods       Date:  2018-03-14       Impact factor: 3.366

5.  Recommended approaches in the application of toxicogenomics to derive points of departure for chemical risk assessment.

Authors:  Reza Farmahin; Andrew Williams; Byron Kuo; Nikolai L Chepelev; Russell S Thomas; Tara S Barton-Maclaren; Ivan H Curran; Andy Nong; Michael G Wade; Carole L Yauk
Journal:  Arch Toxicol       Date:  2016-12-07       Impact factor: 5.153

6.  Nano-risk Science: application of toxicogenomics in an adverse outcome pathway framework for risk assessment of multi-walled carbon nanotubes.

Authors:  Sarah Labib; Andrew Williams; Carole L Yauk; Jake K Nikota; Håkan Wallin; Ulla Vogel; Sabina Halappanavar
Journal:  Part Fibre Toxicol       Date:  2016-03-15       Impact factor: 9.400

7.  BMDExpress Data Viewer - a visualization tool to analyze BMDExpress datasets.

Authors:  Byron Kuo; A Francina Webster; Russell S Thomas; Carole L Yauk
Journal:  J Appl Toxicol       Date:  2015-12-15       Impact factor: 3.446

Review 8.  Bridging the Data Gap From in vitro Toxicity Testing to Chemical Safety Assessment Through Computational Modeling.

Authors:  Qiang Zhang; Jin Li; Alistair Middleton; Sudin Bhattacharya; Rory B Conolly
Journal:  Front Public Health       Date:  2018-09-11

9.  A toxicogenomic approach for the risk assessment of the food contaminant acetamide.

Authors:  Rance Nault; Bryan Bals; Farzaneh Teymouri; Michael B Black; Melvin E Andersen; Patrick D McMullen; Seetha Krishnan; Nagesh Kuravadi; Neetha Paul; Santhosh Kumar; Kamala Kannan; K C Jayachandra; Lakshmanan Alagappan; Bhavesh Dhirajlal Patel; Kenneth T Bogen; Bhaskar B Gollapudi; James E Klaunig; Tim R Zacharewski; Venkataraman Bringi
Journal:  Toxicol Appl Pharmacol       Date:  2019-12-24       Impact factor: 4.219

10.  Transcriptomic analyses of livers from mice exposed to 1,4-dioxane for up to 90 days to assess potential mode(s) of action underlying liver tumor development.

Authors:  G A Chappell; M M Heintz; L C Haws
Journal:  Curr Res Toxicol       Date:  2021-01-12
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