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Unlocking the Power of Transcriptomic Biomarkers in Qualitative and Quantitative Genotoxicity Assessment of Chemicals.
Thienpont, Anouck; Cho, Eunnara; Williams, Andrew; Meier, Matthew J; Yauk, Carole L; Rogiers, Vera; Vanhaecke, Tamara; Mertens, Birgit.
Afiliação
  • Thienpont A; Department of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.
  • Cho E; Department of Chemical and Physical Health Risks, Sciensano, 1050 Brussels, Belgium.
  • Williams A; Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada.
  • Meier MJ; Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada.
  • Yauk CL; Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada.
  • Rogiers V; Department of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
  • Vanhaecke T; Department of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.
  • Mertens B; Department of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.
Chem Res Toxicol ; 37(3): 465-475, 2024 03 18.
Article em En | MEDLINE | ID: mdl-38408751
ABSTRACT
To modernize genotoxicity assessment and reduce reliance on experimental animals, new approach methodologies (NAMs) that provide human-relevant dose-response data are needed. Two transcriptomic biomarkers, GENOMARK and TGx-DDI, have shown a high classification accuracy for genotoxicity. As these biomarkers were extracted from different training sets, we investigated whether combining the two biomarkers in a human-derived metabolically competent cell line (i.e., HepaRG) provides complementary information for the classification of genotoxic hazard identification and potency ranking. First, the applicability of GENOMARK to TempO-Seq, a high-throughput transcriptomic technology, was evaluated. HepaRG cells were exposed for 72 h to increasing concentrations of 10 chemicals (i.e., eight known in vivo genotoxicants and two in vivo nongenotoxicants). Gene expression data were generated using the TempO-Seq technology. We found a prediction performance of 100%, confirming the applicability of GENOMARK to TempO-Seq. Classification using TGx-DDI was then compared to GENOMARK. For the chemicals identified as genotoxic, benchmark concentration modeling was conducted to perform potency ranking. The high concordance observed for both hazard classification and potency ranking by GENOMARK and TGx-DDI highlights the value of integrating these NAMs in a weight of evidence evaluation of genotoxicity.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Transcriptoma Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Transcriptoma Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article