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The ENDOMIX project: an interdisciplinary approach to understanding how real-life chemical mixtures target the immune system to trigger disease

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F25%3A00143598" target="_blank" >RIV/00216224:14310/25:00143598 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://open-research-europe.ec.europa.eu/articles/4-271" target="_blank" >https://open-research-europe.ec.europa.eu/articles/4-271</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.12688/openreseurope.19088.2" target="_blank" >10.12688/openreseurope.19088.2</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    The ENDOMIX project: an interdisciplinary approach to understanding how real-life chemical mixtures target the immune system to trigger disease

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    The ENDOMIX project: an interdisciplinary approach to understanding how real-life chemical mixtures target the immune system to trigger disease

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    30108 - Toxicology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    OPEN RESEARCH EUROPE

  • ISSN

    2732-5121

  • e-ISSN

    2732-5121

  • Svazek periodika

    4

  • Číslo periodika v rámci svazku

    DEC

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    28

  • Strana od-do

    1-28

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-105024115327