Chapter

Reviews of Environmental Contamination and Toxicology

Volume 219 of the series Reviews of Environmental Contamination and Toxicology pp 1-114

Date:

Parameters for Pyrethroid Insecticide QSAR and PBPK/PD Models for Human Risk Assessment

  • James B. KnaakAffiliated withDepartment of Pharmacology and Toxicology, School of Medicine and Biomedical Sciences, SUNY at Buffalo Email author 
  • , Curtis C. DaryAffiliated withHuman Exposure and Atmospheric Sciences Division, U.S. Environmental Protection Agency
  • , Xiaofei ZhangAffiliated withGeneral Dynamics Information Technology
  • , Robert W. GerlachAffiliated withGeneral Dynamics Information Technology
  • , R. Tornero-VelezAffiliated withNational Exposure Research Laboratory, U.S. Environmental Protection Agency
  • , Daniel T. ChangAffiliated withNational Exposure Research Laboratory, U.S. Environmental Protection Agency
  • , Rocky GoldsmithAffiliated withNational Exposure Research Laboratory, U.S. Environmental Protection Agency
  • , Jerry N. BlancatoAffiliated withNational Exposure Research Laboratory, U.S. Environmental Protection Agency

* Final gross prices may vary according to local VAT.

Get Access

Abstract

This pyrethroid insecticide parameter review is an extension of our interest in developing quantitative structure–activity relationship–physiologically based pharmacokinetic/pharmacodynamic (QSAR-PBPK/PD) models for assessing health risks, which interest started with the organophosphorus (OP) and carbamate insecticides (Knaak et al. 2004, 2008). The parameters shown in Table 1 (Blancato et al. 2000) are needed for developing pyrethroid PBPK/PD models, as is information on the metabolic pathways of specific pyrethroids in laboratory test animals and humans. Parameters may be obtained by fitting the output from models to experimental data gathered from in vivo studies (Zhang et al. 2007; Nong et al. 2008), in conjunction with using (1) experimental data obtained from in vitro studies, (2) quantitative structure–activity relationships (QSAR) and (3) other mathematical models, such as the mechanistic Poulin-Theil (2000; 2002a; b) algorithms for obtaining blood:tissue partition coefficients.