Periodic Reporting for period 3 - ENDpoiNTs (Novel Testing Strategies for Endocrine Disruptors in the Context of Developmental NeuroToxicity)
Período documentado: 2022-01-01 hasta 2023-06-30
• Develop predictive computational tools for chemical screening
• Develop and validate cellular testing and screening tools
• Develop novel molecular endpoints for existing animal-based test guidelines
• Ensure human relevance by linking experimental and epidemiological evidence
• Engage with key stakeholders and develop novel strategies for EDC testing and assessment into European and international chemical regulatory frameworks
To link the molecular and cellular key events addressed in the in vitro models to adverse outcomes in whole organisms, several in vivo models are employed. Rats were developmentally exposed to six EDCs. Behavioural analyses in the adults showed sex-specific effects on learning and memory for some of these EDCs. Currently, molecular analyses, including transcriptomics, epigenomics, metabolomics, lipidomics, and steroidomics are in progress. First results show that a number of gene networks, steroids, neurotransmitters and lipids are dysregulated by the six EDCs, and compound and sex-specific effects were observed. These molecular effects will be correlated to the behavioural outcomes and transcriptional data sets from in vitro models, to provide a link between the cellular and the organismal outcomes. Also in Xenopus laevis, a systematic correlation between early transcriptional dysregulation and adult adverse outcomes is ongoing using the same EDCs as well as hormone agonists and antagonists.
For the management and handling of the experimental data, a standardised database platform was developed. It includes data capture, curation procedures, and statistical analysis approaches. All ENDpoiNTs data is contained in the database (currently 2.316.378 data records) and, at the end of the project, will be made available as an invaluable resource for the community. Furthermore, 12 first tier screening high confidence Quantitative Structure Activity Relationships (QSARs) were developed for predicting the agonistic and antagonistic modes of action of the selected receptors. This is the basis for in silico models identifying chemicals that can induce DNT via these interactions. To extrapolate in vitro to in vivo concentrations of EDCs, a physiology-based toxicokinetic (PBTK) approach has been developed, predicting fetal brain concentrations. Furthermore, data produced in ENDpoiNTs is integrated into existing Adverse Outcome Pathways (AOPs) and AOP networks are built.
To establish human relevance of the test methods, doses producing an adverse effect in test systems are currently being compared with human exposure data for both single reference EDCs and for their mixture. For comparison, the metrics have been evaluated using established regulatory values translated to biomonitoring equivalent concentrations. Furthermore, a mixture study of EDCs is being finalised, with the aim to compare effects of a real-life mixture, established based on human data, to single compounds in the developed in vitro models. To further align experimental with human evidence, molecular data on the level of metabolomics and epigenomics will be compared. To this end, analyses in the epidemiological data have been conducted to provide links between molecular patterns and both prenatal exposures and behavioural outcomes.
To ensure the uptake of the developed assays and strategies into the regulatory context, ENDpoiNTs is actively engaging with key stakeholders, e.g. in workshops. Furthermore, communication channels with relevant working groups of the OECD have been strengthened to enable continuous discussion of the readiness of the developed assays for validation and regulatory implementation. Finally, to disseminate the project’s results to different target groups, ENDpoiNTs has produced project flyers and animated short films, and is actively maintaining its webpage (https://endpoints.eu/) as well as continuously publishing its results in scientific journals with open access.