The ENDOMIX project: an interdisciplinary approach to understanding how real-life chemical mixtures target the immune system to trigger disease
Authors/Creators
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Zenclussen, Ana Claudia1
- Belmar Erilkin, Valentina2
- Böhmert, Linda3
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Borilova Linhartova, Petra4
- Braeuning, Albert3
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Braun, Georg5
- Chevrier, Cécile6
- Duijts, Liesbeth7
- Escher, Beate Isabella5
- Felix, Janine8
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Gómez-Olarte, Sergio9
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Guxens, Mònica10
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Herberth, Gunda9
- Hilscherova, Klara4
- Klanova, Jana4
- Kohl, Yvonne11
- Krischak, Katharina2
- Lagadic-Gossmann, Dominique6
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Langouët, Sophie6
- Llop, Sabrina12
- Lopez-Espinosa, Maria Jose13
- Maitre, Léa10
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Martin-Chouly, Corinne6
- Meyer, Nicole9
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Ouidir, Marion14
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Pham, Thi Anh Mai9
- Philippat, Claire14
- Pieters, Raymond15
- Pinel-Marie, Marie-Laure6
- Podechard, Normand6
- Polte, Tobias9
- Price, Elliott4
- Robinson, Oliver16
- Schubert, Kristin17
- Schumacher, Anne9
- Stojanovska, Violeta9
- Tal, Tamara18
- Vineis, Paolo16
- van Vorstenbosch, Robert15
- Vermeulen, Roel15
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Warembourg, Charline6
- 1. German Center for Child and Adolescent Health (DZKJ), partner site Leipzig/Dresden, Leipzig, Germany
- 2. European Institute for Biomedical Imaging Research (EIBIR), Vienna, Austria
- 3. German Federal Institute for Risk Assessment (BfR), Dept. Food Safety, Berlin, 10589, Germany
- 4. RECETOX, Faculty of Science, Masaryk University, Brno, South Moravian Region, Czech Republic
- 5. Department of Cell Toxicology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Saxony, 04318, Germany
- 6. Univ Rennes, Inserm, EHESP, Institut de Recherche en Santé, Environnement et Travail - UMR_S 1085, Rennes, France
- 7. Department of Neonatal and Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center, Rotterdam, Rotterdam, The Netherlands
- 8. Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- 9. Department of Environmental Immunology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Saxony, 04318, Germany
- 10. Institute for Global Health, ISGlobal, Barcelona, Spain
- 11. Fraunhofer Institute for Biomedical Engineering IBMT, Sulzbach, Germany
- 12. Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- 13. Department of Nursing, Faculty of Nursing and Chiropody, University of Valencia, Valencia, Spain
- 14. University Grenoble Alpes, Inserm U-1209, CNRS-UMR-5309, Environmental Epidemiology Applied to Development and Respiratory Health Team, Institute for Advanced Biosciences, Grenoble, France
- 15. Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- 16. MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- 17. Department of Molecular Toxicology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Saxony, 04318, Germany
- 18. Department of Ecotoxicology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Saxony, 04318, Germany
Description
The true impact of endocrine disrupting chemicals (EDCs) on human health is far from being understood. Humans are exposed to mixtures of chemicals throughout their lives, yet regulations and most studies focus on individual chemicals. ENDOMIX takes a novel approach to identifying associations and causality between EDCs and adverse health outcomes by focusing on exposure to mixtures of EDCs over the life course, including windows of susceptibility, using human biomonitoring data from several European cohorts. We will model and measure how real-life EDC mixtures act together and target the immune system to initiate, trigger or maintain disease. Health effects will be investigated using pioneering methodologies ranging from high-throughput in vitro bioassays, sophisticated organoid and co-culture systems, to in vivo models. In combination, they will provide valuable information on mechanistic pathways and transgenerational effects of EDC exposure. We aim to identify biomarkers and patterns of chemical exposures that are easy to measure, available for large cohorts and indicative for adverse health outcomes. We will use in vitro, in silico and in vivo data to strengthen causal inference using a weight-of-evidence approach. Moreover, using novel text mining methods, we will create knowledge graphs to capture and summarize the complexity of biomechanistic information, which aids rapid risk assessments and the creation of network models. The knowledge generated by ENDOMIX will provide an evidence base for policy-making and also reach people of all ages to raise awareness of the risks of EDC exposure and encourage health-promoting behaviors.
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