AI Article Synopsis

  • The study explores the development of a generic physiologically based kinetic (PBK) model for assessing the effects of organophosphate (OP) pesticides on both rats and humans.
  • It utilizes data from existing studies and quantitative structure property relationships to evaluate how well the model predicts the absorption and toxicity of various OP compounds, showing high accuracy in most cases.
  • The findings suggest this PBK model can be a valuable tool for next generation risk assessment (NGRA) of OP pesticides and potentially be adapted for other chemical classes.

Article Abstract

Since their introduction into agriculture, the toxicity of organophosphate (OP) pesticides has been widely studied in animal models. However, next generation risk assessment (NGRA) intends to maximize the use of novel approach methodologies based on in vitro and in silico methods. Therefore, this study describes the development and evaluation of a generic physiologically based kinetic (PBK) model for acute exposure to OP pesticides in rats and humans using quantitative structure property relationships and data from published studies. The models were evaluated using in vivo studies from the literature for chlorpyrifos, diazinon, fenitrothion, methyl-parathion, ethyl-parathion, dimethoate, chlorfenvinphos, and profenofos. Evaluation was performed by comparing simulated and in vivo observed time profiles for blood, plasma, or urinary concentrations and other toxicokinetic parameters. Of simulated concentration-time profiles, 87 and 91% were within a 5-fold difference from observed toxicokinetic data from rat and human studies, respectively. Only for dimethyl-organophosphates further refinement of the model is required. It is concluded that the developed generic PBK model provides a new tool to assess species differences in rat and human kinetics of OP pesticides. This approach provides a means to perform NGRA for these compounds and could also be adopted for other classes of compounds.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11500413PMC
http://dx.doi.org/10.1021/acs.est.4c06534DOI Listing

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