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The Impact of Pesticides - Academy Publish

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ut it is a minor metabolite <strong>of</strong> folpet and only a very small fraction reaches bloodunchanged following an oral or dermal exposure.APPLICATION TO A CHILDREN POPULATION<strong>The</strong> toxicokinetic modeling approach previously described for occupational exposureto pesticides is also applicable to an environmental exposure <strong>of</strong> the general population.However, the approach requires some specific considerations. Contrary tooccupational exposure, the exact route, source and onset <strong>of</strong> an environmental exposureto pesticides, leading to a given set <strong>of</strong> population biomonitoring data, are generallyunknown. This is because there may be an exposure to multiple unidentifiedpesticides, that may or not share the same mechanism <strong>of</strong> action, and this may occur atvarying moments <strong>of</strong> the day and for different combinations <strong>of</strong> exposure routes (e.g.oral, inhalation, dermal). To account for these uncertainties, assumptions need to bemade in order to perform a health-based interpretation <strong>of</strong> biomonitoring data. This wasrecently done by Valcke and Bouchard (2009) with regard to OP exposure in achildren population for which urinary concentrations <strong>of</strong> AP metabolites measured infirst morning voids were available (Valcke et al., 2006).First, as the specific pesticides to which the children under study were exposed wereunknown, these authors assumed that all the methylphosphate (MP) metabolitesoriginated from an exposure to malathion only, whereas all the ethylphosphate (EP)metabolites stemmed from an exposure to CPF. <strong>The</strong>se two assumptions were madebased on the following elements (Valcke and Bouchard, 2009): CPF and malathion were among the OPs to which the studiedpopulation was most likely exposed at the time <strong>of</strong> sampling; the availability <strong>of</strong> appropriate chemical-specific toxicokinetic modelsfor those OPs; the accessibility <strong>of</strong> human NOELs for these two pesticides (thusprecluding the need for uncertain animal-to-human extrapolation), thatare based on the inhibition <strong>of</strong> RBC-AChE activity, which is moresensitive to OP inhibition than the nervous system AChE, responsiblefor the toxic effect <strong>of</strong> OPs; the rather small NOEL values for malathion and CPF as compared tothose <strong>of</strong> other OPs, providing greater safety given that at least part <strong>of</strong>the measured metabolites likely result from the biotransformation <strong>of</strong>other less toxic OPs.Valcke and Bouchard (2009) then used the toxicokinetic models for malathion(Bouchard et al., 2003) and CPF (Bouchard et al., 2005) to generate “NOELbiomarkerequivalents” (NBEs) corresponding to amounts <strong>of</strong> MP/EP metabolites in anovernight urine collection, expressed in nmol/kg bw. Hence, these authors simulatedthe time course <strong>of</strong> the targeted urinary metabolites for various dermal or oral exposurescenarios to the relevant NOELs. <strong>The</strong>y also compensated for the uncertaintyassociated with the elapsed time between the onset <strong>of</strong> the exposure and the morningcollection <strong>of</strong> the urinary samples in the investigated children. Indeed, simulationsperformed with the models had previously shown that the lowest, thus mostconservative, excretion values <strong>of</strong> AP urinary metabolites were obtained considering adermal exposure scenario. On the other hand, urinary OP metabolites in children aregenerally attributed to dietary exposure (Fenske et al., 2002; Curl et al., 2003; Lu etal., 2005; Valcke et al., 2006; Lu et al., 2008). Thus, to obtain a range <strong>of</strong> conservativeNBEs that would encompass all the possible exposure regimens in children, three<strong>Academy</strong><strong>Publish</strong>.org - <strong>The</strong> <strong>Impact</strong> <strong>of</strong> <strong>Pesticides</strong>119

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