Liquid chromatography-tandem mass spectrometry (LC/APCI-MS/MS) methods for the quantification of captan and folpet phthalimide metabolites in human plasma and urine.

Captan and folpet are fungicides largely used in agriculture. They have similar chemical structures, except that folpet has an aromatic ring unlike captan. Their half-lives in blood are very short, given that they are readily broken down to tetrahydrophthalimide (THPI) and phthalimide (PI), respectively. Few authors measured these biomarkers in plasma or urine, and analysis was conducted either by gas chromatography coupled to mass spectrometry or liquid chromatography with UV detection. The objective of this study was thus to develop simple, sensitive and specific liquid chromatography-atmospheric pressure chemical ionization-tandem mass spectrometry (LC/APCI-MS/MS) methods to quantify both THPI and PI in human plasma and urine. Briefly, deuterated THPI was added as an internal standard and purification was performed by solid-phase extraction followed by LC/APCI-MS/MS analysis in negative ion mode for both compounds. Validation of the methods was conducted using spiked blank plasma and urine samples at concentrations ranging from 1 to 250 μg/L and 1 to 50 μg/L, respectively, along with samples of volunteers and workers exposed to captan or folpet. The methods showed a good linearity (R (2) > 0.99), recovery (on average 90% for THPI and 75% for PI), intra- and inter-day precision (RSD, <15%) and accuracy (<20%), and stability. The limit of detection was 0.58 μg/L in urine and 1.47 μg/L in plasma for THPI and 1.14 and 2.17 μg/L, respectively, for PI. The described methods proved to be accurate and suitable to determine the toxicokinetics of both metabolites in human plasma and urine.

Toxicokinetics of captan and folpet biomarkers in dermally exposed volunteers

To better assess biomonitoring data in workers exposed to captan and folpet, the kinetics of ring metabolites [tetrahydrophthalimide (THPI), phthalimide (PI) and phthalic acid] were determined in urine and plasma of dermally exposed volunteers. A 10  mg kg(-1) dose of each fungicide was applied on 80  cm(2) of the forearm and left without occlusion or washing for 24  h. Blood samples were withdrawn at fixed time periods over the 72  h following application and complete urine voids were collected over 96  h post-dosing, for metabolite analysis. In the hours following treatment, a progressive increase in plasma levels of THPI and PI was observed, with peak levels being reached at 24  h for THPI and 10  h for PI. The ensuing elimination phase appeared monophasic with a mean elimination half-life (t(½) ) of 24.7 and 29.7 h for THPI and PI, respectively. In urine, time courses PI and phthalic acid excretion rate rapidly evolved in parallel, and a mean elimination t(½) of 28.8 and 29.6  h, respectively, was calculated from these curves. THPI was eliminated slightly faster, with a mean t(½) of 18.7  h. Over the 96  h period post-application, metabolites were almost completely excreted, and on average 0.02% of captan dose was recovered in urine as THPI while 1.8% of the folpet dose was excreted as phthalic acid and 0.002% as PI, suggesting a low dermal absorption fraction for both fungicides. This study showed the potential use of THPI, PI and phthalic acid as key biomarkers of exposure to captan and folpet.

Toxicokinetics of captan and folpet biomarkers in orally exposed volunteers

The time courses of key biomarkers of exposure to captan and folpet was assessed in accessible biological matrices of orally exposed volunteers. Ten volunteers ingested 1 mg kg(-1) body weight of captan or folpet. Blood samples were withdrawn at fixed time periods over the 72 h following ingestion and complete urine voids were collected over 96 h post-dosing. The tetrahydrophthalimide (THPI) metabolite of captan along with the phthalimide (PI) and phthalic acid metabolites of folpet were then quantified in these samples. Plasma levels of THPI and PI increased progressively after ingestion, reaching peak values ~10 and 6 h post-dosing, respectively; subsequent elimination phase appeared monophasic with a mean elimination half-life (t(½) ) of 15.7 and 31.5 h, respectively. In urine, elimination rate time courses of PI and phthalic acid evolved in parallel, with respective t(½) of 27.3 and 27.6 h; relatively faster elimination was found for THPI, with mean t(½) of 11.7 h. However, phthalic acid was present in urine in 1000-fold higher amounts than PI. In the 96 h period post-treatment, on average 25% of folpet dose was excreted in urine as phthalic acid as compared with only 0.02% as PI. The corresponding value for THPI was 3.5%. Overall, THPI and PI appear as interesting biomarkers of recent exposure, with relatively short half-lives; their sensitivity to assess exposure in field studies should be further verified. Although not a metabolite specific to folpet, the concomitant use of phthalic acid as a major biomarker of exposure to folpet should also be considered. Copyright © 2011 John Wiley & Sons, Ltd.

A detailed urinary excretion time course study of captan and folpet biomarkers in workers for the estimation of dose, main route-of-entry and most appropriate sampling and analysis strategies

Captan and folpet are two fungicides largely used in agriculture, but biomonitoring data are mostly limited to measurements of captan metabolite concentrations in spot urine samples of workers, which complicate interpretation of results in terms of internal dose estimation, daily variations according to tasks performed, and most plausible routes of exposure. This study aimed at performing repeated biological measurements of exposure to captan and folpet in field workers (i) to better assess internal dose along with main routes-of-entry according to tasks and (ii) to establish most appropriate sampling and analysis strategies. The detailed urinary excretion time courses of specific and non-specific biomarkers of exposure to captan and folpet were established in tree farmers (n = 2) and grape growers (n = 3) over a typical workweek (seven consecutive days), including spraying and harvest activities. The impact of the expression of urinary measurements [excretion rate values adjusted or not for creatinine or cumulative amounts over given time periods (8, 12, and 24 h)] was evaluated. Absorbed doses and main routes-of-entry were then estimated from the 24-h cumulative urinary amounts through the use of a kinetic model. The time courses showed that exposure levels were higher during spraying than harvest activities. Model simulations also suggest a limited absorption in the studied workers and an exposure mostly through the dermal route. It further pointed out the advantage of expressing biomarker values in terms of body weight-adjusted amounts in repeated 24-h urine collections as compared to concentrations or excretion rates in spot samples, without the necessity for creatinine corrections.

Développement d'outils de surveillance biologique pour l'évaluation des risques à la santé de travailleurs en arboriculture et en viticulture exposés aux fongicides

De nombreux travailleurs utilisent le captan et le folpet comme fongicides en agriculture, mais leur exposition n'est pas toujours mesurée de manière spécifique et précise. La surveillance biologique est un excellent outil à cet effet puisqu'elle permet de quantifier l'exposition réelle. Toutefois, la majorité des connaissances toxicologiques pour ces fongicides proviennent d'études sur les animaux, et les données chez l'humain sont limitées.Le but du présent projet est donc de développer des outils de surveillance biologique pour évaluer l'exposition de travailleurs au captan et au folpet. Dans cette perspective, le projet a été subdivisé en trois parties complémentaires, soit i) de développer des méthodes analytiques spécifiques pour quantifier les biomarqueurs d'intérêt du captan, à savoir le tétrahydrophtalimide (THPI), et du folpet, à savoir le phtalimide (PI) et l'acide phtalique, dans le plasma et l'urine; ii) de déterminer la toxicocinétique des deux fongicides en exposant desvolontaires de façon aigüe à de faibles doses de captan ou de folpet par voie orale et cutanée dans des conditions semi-contrôlées et en quantifiant les biomarqueurs dans chacune des deux matrices, excepté l'acide phtalique qui a été mesuré seulement dans l'urine; iii) de valider les biomarqueurs d'exposition sélectionnés et d'évaluer l'exposition réelle des travailleurs et les voies prédominantes d'exposition au captan et au folpet en collectant des données biologiques chez des travailleurs en arboriculture et en viticulture lors d'activités de traitement et d'effeuillage pendant sept jours consécutifs.Selon ces travaux, le THPI et le PI sont deux biomarqueurs valides et spécifiques pour quantifier l'exposition au captan et au folpet, respectivement, chez l'humain. En effet, les méthodes développées pour ces deux métabolites sont robustes avec des limites de détection plus sensibles que celles rapportées dans la littérature, un taux de recouvrement de 90% pour le THPI et de 75% pour le PI, une très bonne linéarité (R2>0,99) et une bonne stabilité avec des variations intra- et inter-journalières faibles (RSD<15%). Elles ont permis de déterminer les profils cinétiques des deux métabolites chez les volontaires et chez les travailleurs. Ces derniers indiquent d'ailleurs une élimination rapide, avec une demi-vie d'élimination dans l'urine de 11,7 h et 18,7 h pour le THPI et de 27,3 h et 28,8 h pour le PI, respectivement après une absorption par voie orale et cutanée, ainsi qu'une faible absorption cutanée lorsque les valeurs sont comparées pour les deux voies d'exposition. Des profils parallèles sont aussi observés entre le PI et l'acide phtalique pour les volontaires et les agriculteurs, mais le folpet se retrouve davantage métabolisé sous forme d'acide phtalique que de PI. Quant à l'étude des agriculteurs, elle montre que la voie principale d'exposition de ces travailleurs est la voiecutanée. Il est aussi souligné qu'il est important 1) de favoriser les collectes d'urines complètes sur 24 h au urines ponctuelles, 2) de mesurer plusieurs métabolites, et 3) d'associer les données de surveillance biologique à la toxicocinétique. Ainsi, les connaissances acquises par cette étude peuvent s'appliquer à d'autres fongicides, voire d'autres substances.

Using toxicokinetic modeling approach to determine biological reference values (BRVs) and to assess human exposure to pesticides

Exposure to various pesticides has been characterized in workers and the general population, but interpretation and assessment of biomonitoring data from a health risk perspective remains an issue. For workers, a Biological Exposure Index (BEI®) has been proposed for some substances, but most BEIs are based on urinary biomarker concentrations at Threshold Limit Value - Time Weighted Average (TLV-TWA) airborne exposure while occupational exposure can potentially occurs through multiple routes, particularly by skin contact (i.e.captan, chlorpyrifos, malathion). Similarly, several biomonitoring studies have been conducted to assess environmental exposure to pesticides in different populations, but dose estimates or health risks related to these environmental exposures (mainly through the diet), were rarely characterized. Recently, biological reference values (BRVs) in the form of urinary pesticide metabolites have been proposed for both occupationally exposed workers and children. These BRVs were established using toxicokinetic models developed for each substance, and correspond to safe levels of absorption in humans, regardless of the exposure scenario. The purpose of this chapter is to present a review of a toxicokinetic modeling approach used to determine biological reference values. These are then used to facilitate health risk assessments and decision-making on occupational and environmental pesticide exposures. Such models have the ability to link absorbed dose of the parent compound to exposure biomarkers and critical biological effects. To obtain the safest BRVs for the studied population, simulations of exposure scenarios were performed using a conservative reference dose such as a no-observed-effect level (NOEL). The various examples discussed in this chapter show the importance of knowledge on urine collections (i.e. spot samples and complete 8-h, 12-h or 24-h collections), sampling strategies, metabolism, relative proportions of the different metabolites in urine, absorption fraction, route of exposure and background contribution of prior exposures. They also show that relying on urinary measurements of specific metabolites appears more accurate when applying this approach to the case of occupational exposures. Conversely, relying on semi-specific metabolites (metabolites common to a category of pesticides) appears more accurate for the health risk assessment of environmental exposures given that the precise pesticides to which subjects are exposed are often unknown. In conclusion, the modeling approach to define BRVs for the relevant pesticides may be useful for public health authorities for managing issues related to health risks resulting from environmental and occupational exposures to pesticides.