Literature DB >> 33217531

A rat subchronic study transcriptional point of departure estimates a carcinogenicity study apical point of departure.

Enrica Bianchi1, Eduardo Costa2, Zhongyu June Yan3, Lynea Murphy3, Jessica Howell4, Donna Anderson4, Push Mukerji4, Anand Venkatraman3, Claire Terry3, Kamin J Johnson3.   

Abstract

Considerations of human relevance and animal use are driving research to identify new approaches to inform risk assessment of chemicals and replace guideline-based rodent carcinogenicity tests. Here, the hypothesis was tested across four agrochemicals that 1) a rat 90-day transcriptome-based BEPOD is protective of a rat carcinogenicity study and 2) a subchronic liver or kidney BEPOD would approximate a cancer bioassay apical POD derived from other organs and a rat subchronic BEPOD would approximate a mouse cancer bioassay apical POD. Using RNA sequencing and BMDExpress software, liver and/or kidney BEPOD values were generated in male rats exposed for 90 days to either Triclopyr Acid, Pronamide, Sulfoxaflor, or Fenpicoxamid. BEPOD values were compared to benchmark dose-derived apical POD values generated from rat 90-day and rodent carcinogenicity studies. Across all four agrochemicals, findings showed that a rat 90-day study BEPOD approximated the most sensitive apical POD (within 10-fold) generated from the 90-day rat study and long-term rodent carcinogenicity studies. This study supports the conclusion that a subchronic transcriptome-based BEPOD could be utilized to estimate an apical POD within a risk-based approach of chronic toxicity and carcinogenicity agrochemical assessment, abrogating the need for time- and resource-intensive rodent carcinogenicity studies and minimizing animal testing.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Apical effect; Benchmark dose; Point of departure; Rat transcriptomics; Risk assessment

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Year:  2020        PMID: 33217531     DOI: 10.1016/j.fct.2020.111869

Source DB:  PubMed          Journal:  Food Chem Toxicol        ISSN: 0278-6915            Impact factor:   6.023


  1 in total

1.  A microRNA or messenger RNA point of departure estimates an apical endpoint point of departure in a rat developmental toxicity model.

Authors:  Kamin J Johnson; Eduardo Costa; Valerie Marshall; Shreedharan Sriram; Anand Venkatraman; Kenneth Stebbins; Jessica LaRocca
Journal:  Birth Defects Res       Date:  2022-05-21       Impact factor: 2.661

  1 in total

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