16 research outputs found

    Exposure assessment of process-related contaminants in food by biomarker monitoring

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    Exposure assessment is a fundamental part of the risk assessment paradigm, but can often present a number of challenges and uncertainties. This is especially the case for process contaminants formed during the processing, e.g. heating of food, since they are in part highly reactive and/or volatile, thus making exposure assessment by analysing contents in food unreliable. New approaches are therefore required to accurately assess consumer exposure and thus better inform the risk assessment. Such novel approaches may include the use of biomarkers, physiologically based kinetic (PBK) modelling-facilitated reverse dosimetry, and/or duplicate diet studies. This review focuses on the state of the art with respect to the use of biomarkers of exposure for the process contaminants acrylamide, 3-MCPD esters, glycidyl esters, furan and acrolein. From the overview presented, it becomes clear that the field of assessing human exposure to process-related contaminants in food by biomarker monitoring is promising and strongly developing. The current state of the art as well as the existing data gaps and challenges for the future were defined. They include (1) using PBK modelling and duplicate diet studies to establish, preferably in humans, correlations between external exposure and biomarkers; (2) elucidation of the possible endogenous formation of the process-related contaminants and the resulting biomarker levels; (3) the influence of inter-individual variations and how to include that in the biomarker-based exposure predictions; (4) the correction for confounding factors; (5) the value of the different biomarkers in relation to exposure scenario’s and risk assessment, and (6) the possibilities of novel methodologies. In spite of these challenges it can be concluded that biomarker-based exposure assessment provides a unique opportunity to more accurately assess consumer exposure to process-related contaminants in food and thus to better inform risk assessment

    Exploration of different methods to assess dietary acrylamide exposure in pregnant women participating in the Norwegian Mother and Child Cohort Study (MoBa)

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    We assessed dietary exposure to acrylamide in 119 pregnant Norwegian women. The aim of the study was to explore three different methods for estimation of long-term intake of acrylamide and whether it is possible by a food frequency questionnaire (FFQ) to identify pregnant women with high exposure to acrylamide. Acrylamide excreted as mercapturic acid metabolites in 24-h urine was used as an evaluation tool. Food consumption was assessed by an FFQ and by a 4-day weighed food diary (FD). Acrylamide intake was also estimated by a probabilistic approach based on 2 days from the FD. Primarily, acrylamide concentrations reported from analyses of Norwegian foods were used. The dietary exposure to acrylamide estimated as Âżg/kg bw/day (median and 95 percentile) was 0.48 (0.92) by the FFQ, 0.41 (0.82) by the FD and 0.42 (0.70) by the probabilistic approach. The amount of acrylamide excreted as urinary metabolites (median and 95 percentile) was 0.16 Âżg/kg bw/24-h (0.50) in non-smokers, corresponding to a dietary exposure of approximately 0.30 Âżg/kg bw/day (0.91). Linear regression of acrylamide excreted as urinary metabolites identified crisp bread and potato crisps as significant independent predictors, along with cooking oil and onion/garlic. Dietary exposure to acrylamide calculated by FFQ, FD and probabilistic modelling were comparable. The comparison of FFQ acrylamide estimates with levels of urinary acrylamide metabolites showed that the MoBa FFQ was able to identify participants with high dietary acrylamide exposure. Our findings facilitate future studies on acrylamide exposure and health outcomes in the MoBa stud

    Genetic regulation of liver lipids in a mouse model of insulin resistance and hepatic steatosis

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    Abstract To elucidate the contributions of specific lipid species to metabolic traits, we integrated global hepatic lipid data with other omics measures and genetic data from a cohort of about 100 diverse inbred strains of mice fed a high‐fat/high‐sucrose diet for 8 weeks. Association mapping, correlation, structure analyses, and network modeling revealed pathways and genes underlying these interactions. In particular, our studies lead to the identification of Ifi203 and Map2k6 as regulators of hepatic phosphatidylcholine homeostasis and triacylglycerol accumulation, respectively. Our analyses highlight mechanisms for how genetic variation in hepatic lipidome can be linked to physiological and molecular phenotypes, such as microbiota composition

    Genetic regulation of liver lipids in a mouse model of insulin resistance and hepatic steatosis.

    No full text
    To elucidate the contributions of specific lipid species to metabolic traits, we integrated global hepatic lipid data with other omics measures and genetic data from a cohort of about 100 diverse inbred strains of mice fed a high-fat/high-sucrose diet for 8 weeks. Association mapping, correlation, structure analyses, and network modeling revealed pathways and genes underlying these interactions. In particular, our studies lead to the identification of Ifi203 and Map2k6 as regulators of hepatic phosphatidylcholine homeostasis and triacylglycerol accumulation, respectively. Our analyses highlight mechanisms for how genetic variation in hepatic lipidome can be linked to physiological and molecular phenotypes, such as microbiota composition
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