Auflistung nach Autor:in "Jung, Christian"

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    Analysis of Human Co-exposure to Lead and Cadmium Using Human Biomonitoring (HBM) Data in a Bayesian Copula-Based Regression Framework
    (2023) Sy, Moustapha; Conrad, André; Jung, Christian
    The identifcation of human co-exposure to industrial chemicals or environmental substances is of high interest in human health risk assessment. Due to their ubiquity and persistence in the environment, heavy metals such as cadmium (Cd) and lead (Pb) are of particular concern. Approaches to adequately investigating combinations of these and other often highly correlated variables are lacking. This study proposes a modeling approach to investigate the co-exposure to Cd and Pb, and better understanding the variations of blood Cd and Pb (CdB and PbB, respectively) together with potentially determinant factors. A copula-based regression model was built, using Bayesian inference and Markov Chain Monte Carlo simulation, to relate CdB and PbB of 3- to 14-year-old children participating in the German Environmental Survey for Children (GerES IV) with socio-demographic and ancillary exposure-relevant information. A minor to negligible dependence between CdB and PbB was observed, suggesting that Cd and Pb are subject to difering exposure sources/pathways or kinetics within human body. Despite the resulting low association between CdB and PbB, the developed approach provides methodological bases for enhancing the assessment of the cumulative exposure to multiple substances and for deepening the understanding of the determinants of these exposures. © The Author(s) 2023
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    Assessment of the long-term exposure to lead in four european countries using PBPK modeling
    (2023) Sy, Moustapha; Eleftheriadou, Dimitra; Jung, Christian; Kolossa-Gehring, Marike; Weber, Till
    Lead (Pb) is a naturally occurring heavy metal that received, in the last decades, much attention in the human health risk assessment community. In the European Human Biomonitoring Initiative (HBM4EU), Pb was identified as a priority substance as various scientific and policy questions were open and still to be answered. They included the further investigation of the internal exposure to Pb, the factors determining it, and its variations within European populations. The aim of this work was to develop an integrative modeling framework for the assessment of the aggregated long-term exposure to Pb in Belgium, Czech Republic, Germany, and Norway. This framework enabled predicting the concentrations of Pb in human blood (PbB) from estimates of the external exposure. The effect of past and current exposure events was accounted for, as multiple country-specific Pb concentration data in environmental compartments and diet, and estimates of the dietary intake of Pb covering a period from the 1970s until the present times were compiled. This modeling approach allowed, using a twodimensional Monte Carlo (MC2D) approach, running a population-based simulation and characterizing the inter-individual variability within the simulated populations and the uncertainty on the external exposure estimates. The predicted PbB levels were compared with the results drawn from HBM data. To the best of our knowledge, this holistic modeling approach combines for the first time temporal and country-specific trends in environmental lead concentrations to derive internal exposure, in order to get better insights into the relationship between environmental and human lead exposure, and to characterize individual exposure at different ages. © The Author(s)