Suggestions for applications of toxicogenomic approaches in the adverse outcome pathway of 2,4-dinitrotoluene

Springer Science and Business Media LLC - Tập 12 - Trang 109-118 - 2020
Hyun Soo Kim1, Jun Hyuek Yang1, Doo Seok Kang1, Nam Gook Kee1, Cheol Min Lee2, Jong-Hyeon Jung3, Yeon-Soon Ahn4, Young Rok Seo1
1Department of Life Science, Institute of Environmental Medicine for Green Chemistry, Dongguk University Biomedi Campus, Gyeonggi-do, Republic of Korea
2Department of Chemical and Biological Engineering, Seokyeong University, Seoul, Republic of Korea
3Faculty of Health Science, Daegu Haany University, Gyeongsan, Republic of Korea
4Department of Preventive Medicine and Institute of Occupational and Environmental Medicine, Yonsei Wonju College of Medicine, Yonsei University, Seoul, Republic of Korea

Tóm tắt

The risks of harmful chemicals are actively investigated with diverse toxicological in vitro and in vivo models, although such approaches may have critical problems, such as ethical issues or difficulties extrapolating between animal and human data. Adverse outcome pathways (AOP), in which a conceptually constructed pathway describes the sequential linkage between a molecular initiating event and its final adverse outcome, are actively studied in chemical risk assessment as an alternative prediction tool for understanding the mode of action induced by exposure to a certain chemical. Researchers have recently suggested integrated forms of toxicogenomic approaches and presented general draft AOPs for chemical risk assessment. In this review, we introduce the concept and application status of AOP and suggest possible complementary points for AOP frameworks using the toxicogenomic data analysis of 2,4-dinitrotoluene (2,4-DNT) as an example, considering the high risk of environmental pollution and chemical explosion. To explore the biological events induced by 2,4-DNT, a literature-based pathway analysis was conducted using selected animal genomic data relating to 2,4-DNT retrieved from public databases. Biological network connections among the retrieved genes provided additional knowledge on possible occurrences of inflammation, diabetes mellitus, and carcinogenesis mediated by alteration of cellular processes (oxidative stress, autophagy, and inflammatory responses) and protein functions (NF-kB family, proteasome endopeptidase complex, and Jun/Fos) derived from gene expression changes by 2,4-DNT exposure. This review provides a novel approach using large-scale toxicological literature-based biological pathway analysis to improve confidence in the existing putative AOPs.

Tài liệu tham khảo

Pease CK, Gentry RP (2016) Systematic review in chemical risk assessment—a chemical industry perspective. Environ Int 92–93:574–577. https://doi.org/10.1016/j.envint.2015.12.007

Beronius A, Hanberg A, Zilliacus J, Ruden C (2014) Bridging the gap between academic research and regulatory health risk assessment of endocrine disrupting chemicals. Curr Opin Pharmacol 19:99–104. https://doi.org/10.1016/j.coph.2014.08.005

Cheng S, Liu G, Zhou C, Sun R (2018) Chemical speciation and risk assessment of cadmium in soils around a typical coal mining area of China. Ecotoxicol Environ Saf 160:67–74. https://doi.org/10.1016/j.ecoenv.2018.05.022

Ankley GT et al (2010) Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment. Environ Toxicol Chem 29:730–741. https://doi.org/10.1002/etc.34

Allen TE, Goodman JM, Gutsell S, Russell PJ (2014) Defining molecular initiating events in the adverse outcome pathway framework for risk assessment. Chem Res Toxicol 27:2100–2112. https://doi.org/10.1021/tx500345j

Pittman ME, Edwards SW, Ives C, Mortensen HM (2018) AOP-DB: a database resource for the exploration of adverse outcome pathways through integrated association networks. Toxicol Appl Pharmacol 343:71–83. https://doi.org/10.1016/j.taap.2018.02.006

Brockmeier EK et al (2017) The role of omics in the application of adverse outcome pathways for chemical risk assessment. Toxicol Sci 158:252–262. https://doi.org/10.1093/toxsci/kfx097

Simini M et al (1995) Evaluation of soil toxicity at joliet army ammunition plant. Environ Toxicol Chem 14:623–630. https://doi.org/10.1002/etc.5620140410

Wilbanks MS et al (2014) Validation of a genomics-based hypothetical adverse outcome pathway: 2,4-dinitrotoluene perturbs PPAR signaling thus impairing energy metabolism and exercise endurance. Toxicol Sci 141:44–58. https://doi.org/10.1093/toxsci/kfu104

Pontius NL (1997) SDWA mandates drinking water contaminant candidate list. Opflow 23:8–9. https://doi.org/10.1002/j.1551-8701.1997.tb02070.x

Zhao B (2016) Facts and lessons related to the explosion accident in Tianjin Port, China. Nat Hazards 84:707–713. https://doi.org/10.1007/s11069-016-2403-0

IARC (1996) 2,4-Dinitrotoluene, 2,6-dinitrotoluene and 3,5-dinitrotoluene. vol 65. IARC Working Group on the Evaluation of Carcinogenic Risk to Humans

Maeda A et al (2015) Evaluation of the repeated-dose liver micronucleus assay using 2,4-dinitrotoluene: a report of a collaborative study by CSGMT/JEMS.MMS. Mutat Res/Genet Toxicol Environ Mutagenes 780–781:41–45. https://doi.org/10.1016/j.mrgentox.2014.05.002

McFarland CA et al (2012) Multiple environmental stressors elicit complex interactive effects in the western fence lizard (Sceloporus occidentalis). Ecotoxicology 21:2372–2390. https://doi.org/10.1007/s10646-012-0993-1

Lent EM, Crouse LC, Quinn MJ Jr, Wallace SM (2012) Comparison of the repeated dose toxicity of isomers of dinitrotoluene. Int J Toxicol 31:143–157. https://doi.org/10.1177/1091581811434645

Villeneuve D, Tschudi-Monnet F, Landesmann B, Yauk C, Meek B, O’Brien J (2018) OECD series on adverse outcome pathways 62, vol 1. OECD Publishing, Paris

Pradeep P, Povinelli RJ, White S, Merrill SJ (2016) An ensemble model of QSAR tools for regulatory risk assessment. J Cheminform 8:48. https://doi.org/10.1186/s13321-016-0164-0

Al Sharif M et al (2017) The application of molecular modelling in the safety assessment of chemicals: a case study on ligand-dependent PPARgamma dysregulation. Toxicology 392:140–154. https://doi.org/10.1016/j.tox.2016.01.009

Mekenyan OG, Ankley GT, Veith GD, Call DJ (1995) QSARs for photoinduced toxicity of aromatic compounds. SAR QSAR Environ Res 4:139–145. https://doi.org/10.1080/10629369508029911

Groh KJ et al (2015) Development and application of the adverse outcome pathway framework for understanding and predicting chronic toxicity: I. Challenges and research needs in ecotoxicology. Chemosphere 120:764–777. https://doi.org/10.1016/j.chemosphere.2014.09.068

Walker CH (2008) Ecotoxicity testing: science, politics and ethics. Altern Lab Anim 36:103–112

Delrue N et al (2016) The adverse outcome pathway concept: a basis for developing regulatory decision-making tools. Altern Lab Anim 44:417–429

Tsakovska I et al (2014) Molecular modelling study of the PPARgamma receptor in relation to the mode of action/adverse outcome pathway framework for liver steatosis. Int J Mol Sci 15:7651–7666. https://doi.org/10.3390/ijms15057651

Gatzidou ET, Zira AN, Theocharis SE (2007) Toxicogenomics: a pivotal piece in the puzzle of toxicological research. J Appl Toxicol 27:302–309. https://doi.org/10.1002/jat.1248

Song Y et al (2016) Whole-organism transcriptomic analysis provides mechanistic insight into the acute toxicity of emamectin benzoate in Daphnia magna. Environ Sci Technol 50:11994–12003. https://doi.org/10.1021/acs.est.6b03456

Hutchinson TH, Madden JC, Naidoo V, Walker CH (2014) Comparative metabolism as a key driver of wildlife species sensitivity to human and veterinary pharmaceuticals. Philos Trans R Soc Lond B Biol Sci 369:20130583. https://doi.org/10.1098/rstb.2013.0583

Rand-Weaver M et al (2013) The read-across hypothesis and environmental risk assessment of pharmaceuticals. Environ Sci Technol 47:11384–11395. https://doi.org/10.1021/es402065a

Gong P, Kuperman RG, Sunahara GI (2003) Genotoxicity of 2,4- and 2,6-dinitrotoluene as measured by the Tradescantia micronucleus (Trad-MCN) bioassay. Mutat Res/Genet Toxicol Environ Mutagenes 538:13–18. https://doi.org/10.1016/S1383-5718(03)00089-5

Wintz H et al (2006) Gene expression profiles in fathead minnow exposed to 2,4-DNT: correlation with toxicity in mammals. Toxicol Sci 94:71–82. https://doi.org/10.1093/toxsci/kfl080

Rawat A et al (2010) From raw materials to validated system: the construction of a genomic library and microarray to interpret systemic perturbations in Northern bobwhite. Physiol Genomics 42:219–235. https://doi.org/10.1152/physiolgenomics.00022.2010

Xu J, Jing N (2012) Effects of 2,4-dinitrotoluene exposure on enzyme activity, energy reserves and condition factors in common carp (Cyprinus carpio). J Hazard Mater 203–204:299–307. https://doi.org/10.1016/j.jhazmat.2011.12.025

Xu HE et al (2002) Structural basis for antagonist-mediated recruitment of nuclear co-repressors by PPARalpha. Nature 415:813–817. https://doi.org/10.1038/415813a

Kersten S (2014) Integrated physiology and systems biology of PPARalpha. Mol Metab 3:354–371. https://doi.org/10.1016/j.molmet.2014.02.002

Owen OE (2005) Ketone bodies as a fuel for the brain during starvation. Biochem Mol Biol Educ 33:246–251. https://doi.org/10.1002/bmb.2005.49403304246

Cahill GF Jr (2006) Fuel metabolism in starvation. Annu Rev Nutr 26:1–22. https://doi.org/10.1146/annurev.nutr.26.061505.111258

Buesen R et al (2017) Applying ‘omics technologies in chemicals risk assessment: report of an ECETOC workshop. Regul Toxicol Pharmacol 91(Suppl 1):S3–S13. https://doi.org/10.1016/j.yrtph.2017.09.002

Davis AP et al (2018) The comparative toxicogenomics database: update 2019. Nucleic Acids Res. https://doi.org/10.1093/nar/gky868

Nikitin A, Egorov S, Daraselia N, Mazo I (2003) Pathway studio—the analysis and navigation of molecular networks. Bioinformatics 19:2155–2157. https://doi.org/10.1093/bioinformatics/btg290

Bolt HM, Degen GH, Dorn SB, Plottner S, Harth V (2006) Genotoxicity and potential carcinogenicity of 2,4,6-TNT trinitrotoluene: structural and toxicological considerations. Rev Environ Health 21:217–228

Thông tin
Thông tin xuất bản

Springer Science and Business Media LLC

Tập 12

109-118

Thông tin tác giả