Literature DB >> 25605026

Comparison of toxicogenomics and traditional approaches to inform mode of action and points of departure in human health risk assessment of benzo[a]pyrene in drinking water.

Ivy Moffat1,2, Nikolai Chepelev2, Sarah Labib2, Julie Bourdon-Lacombe1,2, Byron Kuo2, Julie K Buick2, France Lemieux1, Andrew Williams2, Sabina Halappanavar2, Amal Malik2, Mirjam Luijten3, Jiri Aubrecht4, Daniel R Hyduke5, Albert J Fornace6, Carol D Swartz7, Leslie Recio7, Carole L Yauk2.   

Abstract

Toxicogenomics is proposed to be a useful tool in human health risk assessment. However, a systematic comparison of traditional risk assessment approaches with those applying toxicogenomics has never been done. We conducted a case study to evaluate the utility of toxicogenomics in the risk assessment of benzo[a]pyrene (BaP), a well-studied carcinogen, for drinking water exposures. Our study was intended to compare methodologies, not to evaluate drinking water safety. We compared traditional (RA1), genomics-informed (RA2) and genomics-only (RA3) approaches. RA2 and RA3 applied toxicogenomics data from human cell cultures and mice exposed to BaP to determine if these data could provide insight into BaP's mode of action (MOA) and derive tissue-specific points of departure (POD). Our global gene expression analysis supported that BaP is genotoxic in mice and allowed the development of a detailed MOA. Toxicogenomics analysis in human lymphoblastoid TK6 cells demonstrated a high degree of consistency in perturbed pathways with animal tissues. Quantitatively, the PODs for traditional and transcriptional approaches were similar (liver 1.2 vs. 1.0 mg/kg-bw/day; lungs 0.8 vs. 3.7 mg/kg-bw/day; forestomach 0.5 vs. 7.4 mg/kg-bw/day). RA3, which applied toxicogenomics in the absence of apical toxicology data, demonstrates that this approach provides useful information in data-poor situations. Overall, our study supports the use of toxicogenomics as a relatively fast and cost-effective tool for hazard identification, preliminary evaluation of potential carcinogens, and carcinogenic potency, in addition to identifying current limitations and practical questions for future work.

Entities:  

Keywords:  benchmark dose; carcinogens; dose–response; environmental pollutant; genomics; human health risk assessment; mode of action; point of departure; polycyclic aromatic hydrocarbon; transcriptomics

Mesh:

Substances:

Year:  2015        PMID: 25605026      PMCID: PMC4521608          DOI: 10.3109/10408444.2014.973934

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


  227 in total

1.  Dissecting modes of action of non-genotoxic carcinogens in primary mouse hepatocytes.

Authors:  Mirjam M Schaap; Edwin P Zwart; Paul F K Wackers; Ilse Huijskens; Bob van de Water; Timo M Breit; Harry van Steeg; Martijs J Jonker; Mirjam Luijten
Journal:  Arch Toxicol       Date:  2012-06-19       Impact factor: 5.153

Review 2.  Genetic risk prediction: individualized variability in susceptibility to toxicants.

Authors:  Daniel W Nebert; Ge Zhang; Elliot S Vesell
Journal:  Annu Rev Pharmacol Toxicol       Date:  2013       Impact factor: 13.820

Review 3.  The DNA damage response: the omics era and its impact.

Authors:  Kasper W J Derks; Jan H J Hoeijmakers; Joris Pothof
Journal:  DNA Repair (Amst)       Date:  2014-04-30

4.  Pulmonary carcinogenicity of 3,9- and 3,7-dinitrofluoranthene, 3-nitrofluoranthene and benzo[a]pyrene in F344 rats.

Authors:  K Horikawa; N Sera; T Otofuji; K Murakami; H Tokiwa; M Iwagawa; K Izumi; H Otsuka
Journal:  Carcinogenesis       Date:  1991-06       Impact factor: 4.944

5.  Aryl hydrocarbon receptor- and calcium-dependent induction of the chemokine CCL1 by the environmental contaminant benzo[a]pyrene.

Authors:  Monique N'Diaye; Eric Le Ferrec; Dominique Lagadic-Gossmann; Sébastien Corre; David Gilot; Valérie Lecureur; Patricia Monteiro; Claudine Rauch; Marie-Dominique Galibert; Olivier Fardel
Journal:  J Biol Chem       Date:  2006-05-05       Impact factor: 5.157

6.  IPCS conceptual framework for evaluating a mode of action for chemical carcinogenesis.

Authors:  C Sonich-Mullin; R Fielder; J Wiltse; K Baetcke; J Dempsey; P Fenner-Crisp; D Grant; M Hartley; A Knaap; D Kroese; I Mangelsdorf; E Meek; J M Rice; M Younes
Journal:  Regul Toxicol Pharmacol       Date:  2001-10       Impact factor: 3.271

7.  Predicting the hepatocarcinogenic potential of alkenylbenzene flavoring agents using toxicogenomics and machine learning.

Authors:  Scott S Auerbach; Ruchir R Shah; Deepak Mav; Cynthia S Smith; Nigel J Walker; Molly K Vallant; Gary A Boorman; Richard D Irwin
Journal:  Toxicol Appl Pharmacol       Date:  2009-12-11       Impact factor: 4.219

8.  Overexpression of antioxidant enzymes in ApoE-deficient mice suppresses benzo(a)pyrene-accelerated atherosclerosis.

Authors:  Hong Yang; LiChun Zhou; Zefen Wang; L Jackson Roberts; Xinghua Lin; Yanfeng Zhao; ZhongMao Guo
Journal:  Atherosclerosis       Date:  2009-04-11       Impact factor: 5.162

9.  Molecular clock is involved in predictive circadian adjustment of renal function.

Authors:  Annie Mercier Zuber; Gabriel Centeno; Sylvain Pradervand; Svetlana Nikolaeva; Lionel Maquelin; Léonard Cardinaux; Olivier Bonny; Dmitri Firsov
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-09       Impact factor: 11.205

10.  Effect of prenatal exposure to airborne polycyclic aromatic hydrocarbons on neurodevelopment in the first 3 years of life among inner-city children.

Authors:  Frederica P Perera; Virginia Rauh; Robin M Whyatt; Wei-Yann Tsai; Deliang Tang; Diurka Diaz; Lori Hoepner; Dana Barr; Yi-Hsuan Tu; David Camann; Patrick Kinney
Journal:  Environ Health Perspect       Date:  2006-08       Impact factor: 9.031

View more
  41 in total

1.  BMDExpress 2: enhanced transcriptomic dose-response analysis workflow.

Authors:  Jason R Phillips; Daniel L Svoboda; Arpit Tandon; Shyam Patel; Alex Sedykh; Deepak Mav; Byron Kuo; Carole L Yauk; Longlong Yang; Russell S Thomas; Jeff S Gift; J Allen Davis; Louis Olszyk; B Alex Merrick; Richard S Paules; Fred Parham; Trey Saddler; Ruchir R Shah; Scott S Auerbach
Journal:  Bioinformatics       Date:  2019-05-15       Impact factor: 6.937

Review 2.  Mode of action-based risk assessment of genotoxic carcinogens.

Authors:  Andrea Hartwig; Michael Arand; Bernd Epe; Sabine Guth; Gunnar Jahnke; Alfonso Lampen; Hans-Jörg Martus; Bernhard Monien; Ivonne M C M Rietjens; Simone Schmitz-Spanke; Gerlinde Schriever-Schwemmer; Pablo Steinberg; Gerhard Eisenbrand
Journal:  Arch Toxicol       Date:  2020-06-15       Impact factor: 5.153

3.  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

4.  A cross-sector call to improve carcinogenicity risk assessment through use of genomic methodologies.

Authors:  Carole L Yauk; Alison H Harrill; Heidrun Ellinger-Ziegelbauer; Jan Willem van der Laan; Jonathan Moggs; Roland Froetschl; Frank Sistare; Syril Pettit
Journal:  Regul Toxicol Pharmacol       Date:  2019-11-11       Impact factor: 3.271

5.  Editor's Highlight: Application of Gene Set Enrichment Analysis for Identification of Chemically Induced, Biologically Relevant Transcriptomic Networks and Potential Utilization in Human Health Risk Assessment.

Authors:  Jeffry L Dean; Q Jay Zhao; Jason C Lambert; Belinda S Hawkins; Russell S Thomas; Scott C Wesselkamper
Journal:  Toxicol Sci       Date:  2017-05-01       Impact factor: 4.849

6.  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

7.  ALOHA: Aggregated local extrema splines for high-throughput dose-response analysis.

Authors:  Sarah E Davidson; Matthew W Wheeler; Scott S Auerbach; Siva Sivaganesan; Mario Medvedovic
Journal:  Comput Toxicol       Date:  2021-10-13

8.  Considerations for Strategic Use of High-Throughput Transcriptomics Chemical Screening Data in Regulatory Decisions.

Authors:  Joshua Harrill; Imran Shah; R Woodrow Setzer; Derik Haggard; Scott Auerbach; Richard Judson; Russell S Thomas
Journal:  Curr Opin Toxicol       Date:  2019

9.  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

Review 10.  Transcriptome Profile Alterations with Carbon Nanotubes, Quantum Dots, and Silver Nanoparticles: A Review.

Authors:  Cullen Horstmann; Victoria Davenport; Min Zhang; Alyse Peters; Kyoungtae Kim
Journal:  Genes (Basel)       Date:  2021-05-23       Impact factor: 4.096

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.