Person: Kolossa-Gehring, Marike
Lade...
E-Mail-Adresse
Geburtsdatum
Forschungsvorhaben
Organisationseinheiten
Berufsbeschreibung
Biologin
Toxikologin
Toxikologin
Nachname
Kolossa-Gehring
Vorname
Marike
Name
3 Ergebnisse
Suchergebnisse
Gerade angezeigt 1 - 3 von 3
Veröffentlichung The association between ADHD and environmental chemicals - a scoping review(2022) Moore, Sonja; Kolossa-Gehring, Marike; Paalanen, Laura; Melymuk, LisaThe role of environmental chemicals in the etiology of attention deficit hyperactivity disorder (ADHD) has been of interest in recent research. This scoping review aims to summarize known or possible associations between ADHD and environmental exposures to substances selected as priority chemicals of the European Human Biomonitoring Initiative (HBM4EU). Literature searches were performed in PubMed to identify relevant publications. Only meta-analyses and review articles were included, as they provide more extensive evidence compared to individual studies. The collected evidence indicated that lead (Pb), phthalates and bisphenol A (BPA) are moderately to highly associated with ADHD. Limited evidence exists for an association between ADHD and polycyclic aromatic hydrocarbons (PAHs), flame retardants, mercury (Hg), and pesticides. The evidence of association between ADHD and cadmium (Cd) and per- and polyfluoroalkyl substances (PFASs) based on the identified reviews was low but justified further research. The methods of the individual studies included in the reviews and meta-analyses covered in the current paper varied considerably. Making precise conclusions in terms of the strength of evidence on association between certain chemicals and ADHD was not straightforward. More research is needed for stronger evidence of associations or the lack of an association between specific chemical exposures and ADHD. © 2022 by the authorsVeröffentlichung 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, TillLead (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)Veröffentlichung Benefits of cooperation among large-scale cohort studies and human biomonitoring projects in environmental health research: An exercise in blood lead analysis of the Environment and Child Health International Birth Cohort Group(2019) Nakayama, Shoji F.; Conrad, André; Espina, Carolina; Kamijima, Michihiro; Kolossa-Gehring, Marike; Murawski, AlineA number of prospective cohort studies are ongoing worldwide to investigate the impact of foetal and neonatal exposures to chemical substances on child health. To assess multiple exposure (mixture) effects and low prevalence health outcomes it is useful to pool data from several studies and conduct mega-data-analysis. To discuss a path towards data harmonization, representatives from several large-scale birth cohort studies and a biomonitoring programme formed a collaborative group, the Environment and Child Health International Birth Cohort Group (ECHIBCG). In this study, an intra-laboratory trial was performed to harmonize existing blood lead measurements within the groups' studies. Then, decentralized analyses were conducted in individual countries' laboratories to evaluate blood lead levels (BLL) in each study. The measurements of pooled BLL samples in French, German and three Japanese laboratories resulted in an overall mean blood lead concentration of 8.66 ng¯1 (95% confidence interval: 8.59-8.72 ng¯1) with 3.0% relative standard deviation. Except for China's samples, BLL from each study were comparable with mean concentrations below or close to 10ng¯1. The decentralized multivariate analyses revealed that all models had coefficients of determination below 0.1. Determinants of BLL were current smoking, age >35 years and overweight or obese status. The three variables were associated with an increase in BLL in each of the five studies, most strongly in France by almost 80% and the weakest effect being in Norway with only 15%; for Japan, with the far largest sample (~18,000), the difference was 36%. This study successfully demonstrated that the laboratory analytical methods were sufficiently similar to allow direct comparison of data and showed that it is possible to harmonize the epidemiological data for joint analysis. This exercise showed the challenges in decentralized data analyses and reinforces the need for data harmonization among studies. © 2019 The Authors. Published by Elsevier GmbH.