Estimating human exposure to pyrethroids’ mixtures from biomonitoring data using physiologically based pharmacokinetic modeling

Abstract Human biomonitoring data provide evidence to exposure of environmental chemicals. Physiologically based pharmacokinetic (PBPK) modelling together with an adequate scenario allows transpose measured concentrations chemicals or their metabolites into levels, as daily intakes. In France, high levels urinary pyrethroids have been in populations. Our work aims at estimating the French ENNS cohort mixtures four (deltamethrin, permethrin, cypermethrin, and cyfluthrin) from five pyrethroids' commonly studies. We developed a approach on global toxicokinetic model that accounts for cumulative some can be shared by several parent compounds human inter-individual variability metabolism. The median individual intakes was estimated 8.1 ng/kg bw/day 17.7 ng/kg bw/day 20.4 ng/kg bw/day cyfluthrin 34.3 ng/kg bw/day deltamethrin leading similar weights pair permethrin cypermethrin (36%), (31%) (33%) exposure. Accounting enabled explain variations metabolites' within cohort. then weighted toxicities towards three neurotoxic effects calculate margins (MOE). Low MOE values were always associated urine lowest MOEs observed autonomic division. No risks reconstructed expected is asset analyse biomarkers simultaneously could easily adapted any local national specificities pyrethroids’