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Evaluation of in silico model predictions for mammalian acute oral toxicity and regulatory application in pesticide hazard and risk assessment.
Bishop, Patricia L; Mansouri, Kamel; Eckel, William P; Lowit, Michael B; Allen, David; Blankinship, Amy; Lowit, Anna B; Harwood, D Ethan; Johnson, Tamara; Kleinstreuer, Nicole C.
Affiliation
  • Bishop PL; Animal Research Issues, The Humane Society of the United States, Washington, DC, USA. Electronic address: pbishop@humanesociety.org.
  • Mansouri K; National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
  • Eckel WP; US Environmental Protection Agency, Office of Pesticide Programs, Washington, DC, USA.
  • Lowit MB; US Environmental Protection Agency, Office of Pesticide Programs, Washington, DC, USA.
  • Allen D; Predictive Toxicology and Information Sciences Group, Discovery and Safety Assessment Division, Inotiv, Morrisville, NC, USA.
  • Blankinship A; US Environmental Protection Agency, Office of Pesticide Programs, Washington, DC, USA.
  • Lowit AB; US Environmental Protection Agency, Office of Pollution Prevention and Toxics, Washington, DC, USA.
  • Harwood DE; US Environmental Protection Agency, Office of Pesticide Programs, Washington, DC, USA.
  • Johnson T; US Environmental Protection Agency, Office of Pesticide Programs, Washington, DC, USA.
  • Kleinstreuer NC; National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Regul Toxicol Pharmacol ; 149: 105614, 2024 May.
Article in En | MEDLINE | ID: mdl-38574841
ABSTRACT
The United States Environmental Protection Agency (USEPA) uses the lethal dose 50% (LD50) value from in vivo rat acute oral toxicity studies for pesticide product label precautionary statements and environmental risk assessment (RA). The Collaborative Acute Toxicity Modeling Suite (CATMoS) is a quantitative structure-activity relationship (QSAR)-based in silico approach to predict rat acute oral toxicity that has the potential to reduce animal use when registering a new pesticide technical grade active ingredient (TGAI). This analysis compared LD50 values predicted by CATMoS to empirical values from in vivo studies for the TGAIs of 177 conventional pesticides. The accuracy and reliability of the model predictions were assessed relative to the empirical data in terms of USEPA acute oral toxicity categories and discrete LD50 values for each chemical. CATMoS was most reliable at placing pesticide TGAIs in acute toxicity categories III (>500-5000 mg/kg) and IV (>5000 mg/kg), with 88% categorical concordance for 165 chemicals with empirical in vivo LD50 values ≥ 500 mg/kg. When considering an LD50 for RA, CATMoS predictions of 2000 mg/kg and higher were found to agree with empirical values from limit tests (i.e., single, high-dose tests) or definitive results over 2000 mg/kg with few exceptions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pesticides / United States Environmental Protection Agency / Computer Simulation / Toxicity Tests, Acute / Quantitative Structure-Activity Relationship Limits: Animals Country/Region as subject: America do norte Language: En Journal: Regul Toxicol Pharmacol Year: 2024 Document type: Article Country of publication: Países Bajos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pesticides / United States Environmental Protection Agency / Computer Simulation / Toxicity Tests, Acute / Quantitative Structure-Activity Relationship Limits: Animals Country/Region as subject: America do norte Language: En Journal: Regul Toxicol Pharmacol Year: 2024 Document type: Article Country of publication: Países Bajos