Applying 'omics technologies in chemicals risk assessment: Report of an ECETOC workshop

Regulatory Toxicology and Pharmacology - Tập 91 - Trang S3-S13 - 2017
Roland Buesen1, Brian N. Chorley2, Beatriz Silva Lima3, George P. Daston4, Lize Deferme5, Timothy M. D. Ebbels6, Timothy W. Gant7, Amber K. Goetz8, John M. Greally9, Laura Gribaldo10, Jörg Hackermüller11, Bruno Hubesch12, Danyel Jennen13, Kamin J. Johnson14, Jun Kanno15, Hans-Martin Kauffmann1, Madeleine Laffont16, Patrick D. McMullen17, Richard R. Meehan18, Mark Pemberton19, Stefania Perdichizzi20, Aldert H. Piersma21, Ursula G. Sauer22, Kerstin Schmidt23, Hervé Seitz24, Kayo Sumida25, Knut Erik Tollefsen26, Weida Tong27, Tewes Tralau28, Wendel Wohlleben1, Ralf Weber29, Andrew Worth10, Carole L. Yauk30, Alan Poole31
1BASF SE, Germany
2U.S. Environmental Protection Agency USA
3iMED.Ulisboa and Faculty of Pharmacy, Universidade de Lisboa, Portugal
4Procter & Gamble, USA
5ExxonMobil Petroleum and Chemical, Belgium
6Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, United Kingdom
7Centre for Radiation, Chemical and Environmental Hazards (CRCE), Harwell Science and Innovation Campus, Public Health England (PHE), United Kingdom
8Syngenta Crop Protection LLC, USA
9Albert Einstein College of Medicine, Yeshiva University, USA
10European Commission, Joint Research Centre, European Reference Laboratory for Alternatives to Animal Testing (EURL ECVAM), Italy
11Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research-UFZ, Germany
12Hubesch Consult BVBA, Belgium
13Department of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, the Netherlands
14[Dow Chemical Company, USA]
15Japan Organization of Occupational Health and Safety, Japan.
16European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC), Belgium
17ScitoVation, USA.
18MRC Human Genetics Unit, IGMM, University of Edinburgh, Scotland, United Kingdom
19Systox Ltd., United Kingdom.
20Center for Environmental Toxicology, Agency for Prevention, Environment and Energy (Arpae), Emilia-Romagna, Italy
21National Institute for Public Health and the Environment (RIVM), The Netherlands; IRAS Institute for Risk Assessment Sciences, Utrecht University, The Netherlands.
22Scientific Consultancy - Animal Welfare, Germany.
23BioMath GmbH, Germany.
24Institut de Génétique Humain (IGH), Centre National de la Recherche Scientifique - National Centre of Scientific Research (CNRS), France
25Sumitomo Chemical Co. Ltd., Japan
26Norwegian Institute for Water Research (NIVA), Norway
27National Center for Toxicological Research (NCTR), U.S. Food and Drug Administration (FDA), USA
28Department of Chemical and Product Safety, German Federal Institute of Risk Assessment (BfR), Germany
29Phenome Centre Birmingham, School of Biosciences, University of Birmingham, United Kingdom.
30Environmental Health Science and Research Bureau, Health Canada, Canada
31European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC), Belgium. Electronic address: [email protected].

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Tài liệu tham khảo

Angrish, 2016, Tipping the balance: hepatotoxicity and the 4 apical key events of hepatic steatosis, Toxicol. Sci., 150, 261, 10.1093/toxsci/kfw018

Ankley, 2010, Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment, Env. Toxicol. Chem., 29, 730, 10.1002/etc.34

Becker, 2015, Increasing scientific confidence in adverse outcome pathways: application of tailored Bradford-Hill considerations for evaluating weight of evidence, Regul. Toxicol. Pharmacol., 72, 514, 10.1016/j.yrtph.2015.04.004

Benford, 2010, Application of the Margin of Exposure (MOE) approach to substances in food that are genotoxic and carcinogenic, Food Chem. Toxicol., 48, S2, 10.1016/j.fct.2009.11.003

Bercu, 2010, Toxicogenomics and cancer risk assessment: a framework for key event analysis and dose-response assessment for nongenotoxic carcinogens, Regul. Toxicol. Pharmacol., 58, 369, 10.1016/j.yrtph.2010.08.002

Boobis, 2009, Application of key events analysis to chemical carcinogens and noncarcinogens, Crit. Rev. Food Sci. Nutr., 49, 690, 10.1080/10408390903098673

Brazma, 2001, Minimum information about a microarray experiment (MIAME) - toward standards for microarray data, Nat. Genet., 29, 365, 10.1038/ng1201-365

Bridges, 2017, Framework for the quantitative weight-of-evidence analysis of 'omics data for regulatory purposes, Regul. Toxicol. Pharmacol., 91, S51, 10.1016/j.yrtph.2017.10.010

Conolly, 2017, Quantitative adverse outcome pathways and their application to predictive toxicology, Environ. Sci. Technol., 51, 4661, 10.1021/acs.est.6b06230

ECETOC, 2008

ECETOC, 2010

ECETOC, 2013

ECETOC, 2017

ECHA, 2016, New approach methodologies in regulatory science

EP and Council of the EU, 2008, vol. 353, 1

Fabbri, 2012, Whole genome analysis and microRNAs regulation in HepG2 cells exposed to cadmium, ALTEX, 29, 173, 10.14573/altex.2012.2.173

Farmahin, 2017, Recommended approaches in the application of toxicogenomics to derive points of departure for chemical risk assessment, Arch. Toxicol., 91, 2045, 10.1007/s00204-016-1886-5

Fenner-Crisp, 2016, Key Elements for judging the quality of a risk assessment, Environ. Health Perspect., 124, 1127, 10.1289/ehp.1510483

Gant, 2017, A generic Transcriptomics Reporting Framework (TRF) for omics data processing and analysis, Regul. Toxicol. Pharmacol., 91, S36, 10.1016/j.yrtph.2017.11.001

Jackson, 2014, Case study on the utility of hepatic global gene expression profiling in the risk assessment of the carcinogen furan, Toxicol. Appl. Pharmacol., 274, 63, 10.1016/j.taap.2013.10.019

Judson, 2014, In vitro and modelling approaches to risk assessment from the U.S. Environmental Protection Agency ToxCast programme, Basic Clin. Pharmacol. Toxicol., 115, 69, 10.1111/bcpt.12239

Kauffmann, 2017, Framework for the quality assurance of ‘omics technologies considering GLP requirements, Regul. Toxicol. Pharmacol., 10.1016/j.yrtph.2017.10.007

Langfelder, 2013, When is hub gene selection better than standard meta-analysis?, PLoS One, 8, e61505, 10.1371/journal.pone.0061505

Liu, 2005, Gene expression profiling following in utero exposure to phthalate esters reveals new gene targets in the etiology of testicular dysgenesis, Biol. Reprod., 73, 180, 10.1095/biolreprod.104.039404

MAQC Consortium, 2006, The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements, Nat. Biotechnol., 24, 1151, 10.1038/nbt1239

Meek, 2014, New developments in the evolution and application of the WHO/IPCS framework on mode of action/species concordance analysis, J. Appl. Toxicol., 34, 1, 10.1002/jat.2949

OECD, 1998

OECD

OECD, 2013

OECD, 2014

OECD, 2015

Oshida, 2015, Identification of chemical modulators of the constitutive activated receptor (CAR) in a gene expression compendium, Nucl. Recept. Signal., 13, e002, 10.1621/nrs.13002

Roth, 2016, A critical review of frameworks used for evaluating reliability and relevance of (eco)toxicity data: perspectives for an integrated eco-human decision-making framework, Environ. Int., 95, 16, 10.1016/j.envint.2016.07.011

Russell, 1959

Sauer, 2017, The challenge of the application of 'omics technologies in chemicals risk assessment: background and outlook, Regul. Toxicol. Pharmacol., 91, S14, 10.1016/j.yrtph.2017.09.020

SEQC/MAQC-III Consortium, 2014, A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium, Nat. Biotechnol., 32, 903, 10.1038/nbt.2957

Sonich-Mullin, 2001, IPCS conceptual framework for evaluating a mode of action for chemical carcinogenesis, Regul. Toxicol. Pharmacol., 34, 146, 10.1006/rtph.2001.1493

Thomas, 2013, Temporal concordance between apical and transcriptional points of departure for chemical risk assessment, Toxicol. Sci., 134, 180, 10.1093/toxsci/kft094

Thomas, 2013, Biological networks for predicting chemical hepatocarcinogenicity using gene expression data from treated mice and relevance across human and rat species, PLoS One, 8, e63308, 10.1371/journal.pone.0063308

Tralau, 2015, Regulatory toxicology in the twenty-first century: challenges, perspectives and possible solutions, Arch. Toxicol., 89, 823, 10.1007/s00204-015-1510-0

United Nations, 2015, 10.18356/591dabf9-en

van Ravenzwaay, 2014, The sensitivity of metabolomics versus classical regulatory toxicology from a NOAEL perspective, Toxicol. Lett., 227, 20, 10.1016/j.toxlet.2014.03.004