Développement d’outils utilisant la surveillance biologique pour évaluer l’exposition et les risques pour la santé : application au méthylmercure et au sélénium

In the context of public health risk analysis, exposure assessments are of primary importance. Among the approaches used to assess exposure, tools such as food questionnaires, toxicokinetic modelling or reverse dosimetry, combined with biomonitoring allow to refine exposure estimates as well as toxicological health risk estimates.   Such approaches and tools have been developed and applied to two contaminants of interest - methylmercury and selenium - due to the known toxic effect of methylmercury, the interaction between methylmercury and selenium which reduces its toxicity, and common sources of exposure through fish consumption. Hence, the main objective of this thesis consists in producing kinetic and comparative data for the validation and the interpretation of approaches and tools used for exposure assessment to methylmercury and selenium. These data are currently lacking.  To achieve this goal, the influence of the method used to assess methylmercury exposure was determined by comparing daily intakes and health risk estimated with different approaches (direct exposure assessment using biomonitoring and toxicokinetic modelling or indirect exposure assessment using food questionnaires). Important discrepancies between these two methods have been observed: the questionnaire-based intakes are higher than modeled intakes higher by a six-fold factor. These two approaches lead to divergent health risk estimates considering that, with the direct exposure assessment, methylmercury daily intakes are above Health Canada guidelines in most cases (21 of 23 volunteers) while only 2 volunteers have intakes above guidelines when using the direct approach. Among possible reasons, discrepancies could be due to recall and desirability bias related to the completion of food questionnaire.  Subsequently, the study of selenium distribution in different biological matrices following a non-dietary exposure (selenium-containing shampoo) aimed to study the kinetic of the selenium originating from this exposure as well as assess the contribution of this source to the total Se body burden. The time courses of selenium biological concentration in blood, urine, hair and nails over 18 months for volunteers exposed to a non-dietary source of selenium contributed to better elucidate the mechanisms of selenium transfer to blood (concurrency of regulated and non-regulated pathways). This study also confirms that, unlike methylmercury, the use of hair as a biomarker can lead to a significant overestimate of the actual selenium body burden if confounding factors such as the use of selenium-containing shampoo are not controlled.   In addition, a detailed analysis of selenium biomonitoring data from 75 published studies in the literature was conducted in order to better understand the kinetic of selenium in the human body. In particular, this analysis led to the development of a tool that relates daily intakes and selenium concentrations in biological matrices using mathematical algorithms. Consequently, by using these kinetic data expressed as a system of logarithmic equations and graphical representations, it enables the assessment of daily intakes in an individual from various biological sampling. Moreover, it facilitates the comparison of selenium biomonitoring data from studies using different biomarkers.   Overall, these results show that the approach used to assess exposure has a sound impact on health risk estimates. Research showed that selenium from a non-dietary source does not contribute significantly to total body burden, however it constitutes a confounding factor. Finally, the determination of equations and coefficients using an extensive kinetic database relating selenium concentrations from different biological matrices helps to better interpret biomonitoring data.

Keyphrases: Urine, Methylmercury, Selenuim, Food questionnaires, Biomonitoring, Blood, Hair, Toenail, Urine, Shampoo, Fish consumption