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The Impact of Pesticides - Academy Publish

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greenhouse workers exposed to malathion following a spraying episode or work in atreated area (Bouchard et al., 2003). As depicted in Table 3, urinary values <strong>of</strong> MCAand DCA in the workers under study ranged between 1.7 and 21% <strong>of</strong> the proposedBRV for MCA and 1.1 to 32% <strong>of</strong> the BRV for DCA. Similar results were obtainedwhen comparing biomonitoring results <strong>of</strong> Márquez et al. (2001) on measured totalamounts <strong>of</strong> MCA excreted over a 24-h period in three Spanish greenhouse workersfollowing application <strong>of</strong> malathion (31.7, 8.6, and 6.3 nmol/kg, considering a bodyweight <strong>of</strong> 70 kg) with the proposed BRVs (Table 3).ChlorpyrifosChlorpyrifos (O,O-diethyl-O-3,5,6-trichloro-2-pyridylphosphorothioate, CAS2921-88-2) is a non-systemic insecticide used to control a wide range <strong>of</strong> insectpests. Toxicity is induced by chlorpyrifos (CPF) bioactivation product, CPF-oxon,which is an AChE inhibitor (Namba et al., 1971; Huff et al., 1994; Sultatos, 1994).According to studies in animals and humans, CPF is nearly completely metabolizedto 3,5,6-trichloro-2-pyridinol (3,5,6-TCP) and AP metabolites, i.e. diethylthiophosphate (DETP) and diethyl phosphate (DEP), whatever the route-<strong>of</strong>-entry.<strong>The</strong>se metabolites are then essentially excreted in urine (Bakke et al., 1976; Nolanet al., 1984; Griffin et al., 1999). Several studies in field workers assessed CPFexposure by measuring urinary 3,5,6-TCP as a specific biomarker, and DETP andDEP as non specific biomarkers (Jitsunari et al., 1989; Fenske and Elkner, 1990;Cocker et al., 2002).Considering this biotransformation data along with available kinetic time courses involunteers, Bouchard et al. (2005) developed a chlorpyrifos-specific toxicokineticmodel (Figure 4A). Similar to malathion model, this model describes thebiodisposition kinetics <strong>of</strong> CPF and its metabolites in humans with a minimumnumber <strong>of</strong> compartments and parameters. It allows predicting the time courses <strong>of</strong>CPF and its metabolites under different exposure routes (oral, dermal and/orinhalation) and temporal scenarios (single or repeated intermittent or continuousexposures). <strong>The</strong> parameters were established using the data <strong>of</strong> Nolan et al. (1984)and Drevenkar et al. (1993) in individuals orally exposed to CPF. <strong>The</strong> modelincludes specific inputs to represent the amounts <strong>of</strong> CPF bioavailable at each site-<strong>of</strong>entry(skin, gastro-intestinal tract, respiratory tract), a specific body compartment todescribe the CPF blood burden (i.e. arterial and venous blood including tissueblood), a storage compartment to represent CPF in lipids or reversibly bound totissue proteins, two metabolite compartments to represent distinctly the body burden<strong>of</strong> 3,5,6-TCP and AP metabolites, and two urinary compartments to representseparately the cumulative urinary excretions <strong>of</strong> 3,5,6-TCP and AP metabolites.Furthermore, based on the study <strong>of</strong> Smith et al. (1967), the model considers thateach mole <strong>of</strong> CPF in the body is eventually broken down into one mole <strong>of</strong> 3,5,6-TCP and one mole <strong>of</strong> AP, and metabolite excretion occurs only through the renalroute. <strong>The</strong> model was validated using the data <strong>of</strong> Nolan et al. (1984) in dermallyexposed individuals (on the forearm), and the data <strong>of</strong> Brzak (2000) and Griffin et al.(1999) in orally exposed subjects.As was done for malathion, the model then served to estimate BRVs for 3,5,6-TCPand AP metabolites in urine. <strong>The</strong> available repeated-exposure NOEL dose <strong>of</strong> 0.1mg/kg/day <strong>of</strong> chlorpyrifos (20 µmol/day for a 70 kilogram individual), which didnot induce significant inhibition <strong>of</strong> RBC-AChE activities, was used (Coulston et al.,1972; McCollister et al., 1974; Mattsson et al., 2001), and the corresponding daily<strong>Academy</strong><strong>Publish</strong>.org - <strong>The</strong> <strong>Impact</strong> <strong>of</strong> <strong>Pesticides</strong>112

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