Person: Schmidt, Philipp
Lade...
E-Mail-Adresse
Geburtsdatum
Forschungsvorhaben
Organisationseinheiten
Berufsbeschreibung
Nachname
Schmidt
Vorname
Philipp
Name
2 Ergebnisse
Suchergebnisse
Gerade angezeigt 1 - 2 von 2
Veröffentlichung Toxicity weighting for human biomonitoring mixture risk assessment: A proof of concept(2023) Loh, Miranda M.; Kolossa-Gehring, Marike; Christopher-de Vries, Yvette; Schmidt, Philipp; Vogel, NinaChemical mixture risk assessment has, in the past, primarily focused on exposures quantified in the external environment. Assessing health risks using human biomonitoring (HBM) data provides information on the internal concentration, from which a dose can be derived, of chemicals to which human populations are exposed. This study describes a proof of concept for conducting mixture risk assessment with HBM data, using the population-representative German Environmental Survey (GerES) V as a case study. We first attempted to identify groups of correlated biomarkers (also known as â€Ìcommunitiesâ€Ì, reflecting co-occurrence patterns of chemicals) using a network analysis approach (n = 515 individuals) on 51 chemical substances in urine. The underlying question is whether the combined body burden of multiple chemicals is of potential health concern. If so, subsequent questions are which chemicals and which co-occurrence patterns are driving the potential health risks. To address this, a biomonitoring hazard index was developed by summing over hazard quotients, where each biomarker concentration was weighted (divided) by the associated HBM health-based guidance value (HBM-HBGV, HBM value or equivalent). Altogether, for 17 out of the 51 substances, health-based guidance values were available. If the hazard index was higher than 1, then the community was considered of potential health concern and should be evaluated further. Overall, seven communities were identified in the GerES V data. Of the five mixture communities where a hazard index was calculated, the highest hazard community contained N-Acetyl-S-(2-carbamoyl-ethyl)cysteine (AAMA), but this was the only biomarker for which a guidance value was available. Of the other four communities, one included the phthalate metabolites mono-isobutyl phthalate (MiBP) and mono-n-butyl phthalate (MnBP) with high hazard quotients, which led to hazard indices that exceed the value of one in 5.8% of the participants included in the GerES V study. This biological index method can put forward communities of co-occurrence patterns of chemicals on a population level that need further assessment in toxicology or health effects studies. Future mixture risk assessment using HBM data will benefit from additional HBM health-based guidance values based on population studies. Additionally, accounting for different biomonitoring matrices would provide a wider range of exposures. Future hazard index analyses could also take a common mode of action approach, rather than the more agnostic and non-specific approach we have taken in this proof of concept. © 2023 by the authorsVeröffentlichung Cumulative risk assessment of five phthalates in European children and adolescents(2022) Kolossa-Gehring, Marike; Lange, Rosa; Gerofke, Antje; Schmidt, Philipp; Vogel, NinaThe European Human Biomonitoring Initiative (HBM4EU) assessed human biomonitoring data on phthalates in children and adolescents, that were sampled between 2014 and 2021, in a harmonised way. These so-called "HBM4EU Aligned Studies" revealed that almost all children and adolescents were exposed to multiple phthalates concurrently. Some phthalates have been shown to act in a dose-additive manner, thus, a mixture risk assessment is warranted. In our study, we determine the risk from combined exposure to five anti-androgenic phthalates, namely DEHP, DiBP, DnBP, BBzP and DiNP by making use of the hazard index (HI) approach. Toxicologically-based human biomonitoring guidance values (HBM-GVs) derived within the framework of HBM4EU served as basis. Our results show that exposures of 17% of children and adolescents from twelve European countries resulted in hazard indices (HI)>1 with an HI of 1.77 at the 95th percentile (geometric mean, GM=0.44). Main drivers for the mixture risk are DnBP and DiBP. Generalized Linear Model (GLM) analysis including four major exposure determinants (age, sex, European region, sampling year) simultaneously reveal differences for the European regions and between sampling years. Children and adolescents living in the Eastern region of Europe have on average, higher HIs (GM=0.58) than in the Southern region (GM=0.36) and Western region (GM=0.42). Moreover, participants from which urine samples were taken in the earlier years (2014-2016) seem to have higher average HI levels than participants from studies with later sampling periods. Strikingly, the majority (63%) of participants with HIs>1 would have gone unnoticed in single substance risk assessments as individual phthalates levels were below corresponding HBM-GVs. Thus, our results underline the importance of mixture risk assessment approaches to adequately address risks from concurrent chemical exposure. © 2022 Published by Elsevier GmbH.