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The association between histopathologic effects and liver weight changes induced in mice and rats by chemical exposures: an analysis of the data from Toxicity Reference Database (ToxRefDB).

Roman MezencevMadison FeshukLori KolaczkowskiGeoffrey Colin PetersonQ Jay ZhaoSean WatfordJ Andre Weaver
Published in: Toxicological sciences : an official journal of the Society of Toxicology (2024)
Absolute (ALW) and relative (RLW) liver weight changes are sensitive endpoints in repeat-dose rodent toxicity studies, and their changes are often used for quantitative assessment of health effects induced by hepatotoxic chemicals using the benchmark dose-response modeling (BMD) approach. To find biologically relevant liver weight changes to chemical exposures, we evaluated all data available for liver weight changes and associated liver histopathologic findings from the Toxicity Reference Database (ToxRefDB). Our analysis of 389 subchronic mouse and rat studies for 273 chemicals found significant differences in treatment-related ALW and RLW changes between dose groups with and without liver histopathologic changes. In addition, we demonstrate that chemical treatment-induced ALW and RLW changes can predict the presence of histopathologic findings and inform the selection of biologically relevant liver weight changes for BMD modeling and derivation of toxicity values.
Keyphrases
  • body mass index
  • weight loss
  • oxidative stress
  • weight gain
  • emergency department
  • high glucose
  • air pollution
  • big data
  • machine learning
  • diabetic rats
  • deep learning
  • oxide nanoparticles
  • artificial intelligence