Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.12688/openreseurope.19088.2 |
Lizenz ![]() |
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| Titel (primär) | The ENDOMIX project: an interdisciplinary approach to understanding how real-life chemical mixtures target the immune system to trigger disease [version 2] |
| Autor | Zenclussen, A.C.; Belmar Erilkin, V.; Böhmert, L.; Borilova Linhartova, P.; Braeuning, A.; Braun, G.; Chevrier, C.; Duijts, L.; Escher, B.I.
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| Quelle | Open Research Europe |
| Erscheinungsjahr | 2025 |
| Department | ZELLTOX; IMMU; ETOX; MOLTOX |
| Band/Volume | 4 |
| Seite von | art. 271 |
| Sprache | englisch |
| Topic | T9 Healthy Planet |
| Keywords | endocrine disrupting chemicals; EDC exposure; chemical mixtures; immune system; long-term health effects; interdisciplinary approach; science to policy translation |
| Abstract | 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. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31747 |
| Zenclussen, A.C., Belmar Erilkin, V., Böhmert, L., Borilova Linhartova, P., Braeuning, A., Braun, G., Chevrier, C., Duijts, L., Escher, B.I., Felix, J., Gómez-Olarte, S., Guxens, M., Herberth, G., Hilscherova, K., Klanova, J., Kohl, Y., Krischak, K., Lagadic-Gossmann, D., Langouët, S., Llop, S., Lopez-Espinosa, M.-J., Maitre, L., Martin-Chouly, C., Meyer, N., Ouidir, M., Pham, T.A.M., Philippat, C., Pieters, R., Pinel-Marie, M.-L., Podechard, N., Polte, T., Price, E., Robinson, O., Schubert, K., Schumacher, A., Stojanovska, V., Tal, T., Vineis, P., van Vorstenbosch, R., Vermeulen, R., Warembourg, C. (2025): The ENDOMIX project: an interdisciplinary approach to understanding how real-life chemical mixtures target the immune system to trigger disease [version 2] Open Research Europe 4 , art. 271 10.12688/openreseurope.19088.2 |
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