Speaker and Panellist
German Federal Institute for Risk Assessment (BfR)
After successfully completing the training to become a paramedic, Philip Marx-Stoelting studied biochemistry and philosophy in Tübingen, Germany and Brisbane, Australia. He completed his PhD-thesis (Dr. rer. nat.) in biochemistry/ toxicology on chemically induced hepatocarcinogenesis in the group of Michael Schwarz, where he also assisted in coordinating the EU-FP7-project ReProTect. Philip joined the German Federal Institute for Risk Assessment (BfR) in 2008, where he worked in several positions in regulatory and experimental toxicology. Currently he serves as head of the Unit ‘Testing and assessment strategies pesticides’ in the pesticides safety department and is head of the BfR working group on endocrine disruptors. He served in several international expert panels (EFSA PRAS, EFSA PREV, OECD WPHA) and is a member of the OECD EDTA. Philip is also co-author of more than 50 peer reviewed publications and text book chapters and is teaching toxicology at TU Berlin and Charité. He was/is involved in the EU H2020 funded projects EuroMix, RiskHunt3R and EDCmet and in coordinating the BMBF funded project Combiomics as well as WP5 of PARC. His research interests are liver toxicity, endocrine disruption and mixture effects. He is a specialist in toxicology (Fachtoxikologe, DGPT) / Eurotox registered toxicologist (ERT).
Combined exposure to multiple chemicals: assessing risks across regulatory silosSee more
22/06 - 14:00Visit the agenda
Title of talk
Risk assessment of combined exposure to multiple chemicals: case studies in food safety
22/06 - 15:25
Abstract of talk
Data driven approaches for risk assessment of combined exposure to multiple chemicals are successfully applied by regulators to ensure a high level of food safety. For pesticide active substances, cumulative assessment groups (CAGs) were built based on comprehensive toxicity data. Cumulative risk assessment (CRA) was performed for these CAGs considering wide-ranging exposure information also for sensitive parts of the population based on conservative assumptions. So far, no elevated risk has been detected for the CAGs on thyroid and nervous system due to combined exposure to multiple pesticide residues.
For other groups of compounds with less comprehensive data packages like contaminants, structure-based grouping and relative potency factors are used for CRA. Additionally whole mixture approaches, taking into account exposome data and new approach methods (NAM) for mechanism and adverse outcome pathway driven hazard identification are discussed. Their implementation would facilitate CRA across regulatory domains.
In summary, data-driven approaches taking into account real life mixtures are preferred for risk assessment instead of generic approaches. Data-driven approaches ensure evidence-based assessments, reduce uncertainty and consequently increase food and consumer safety.