The evolution of the EFSA OpenFoodTox database

Nadia  Iovine; Alessandra  Roncaglioni; Luca  Sartori; Chihae  Yang; Emilio  Benfenati

doi:10.59400/jts1798

The evolution of the EFSA OpenFoodTox database

Nadia Iovine Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Health Science, Via Mario Negro, 2,20156 Milano, Italy
Alessandra Roncaglioni Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Health Science, Via Mario Negro, 2,20156 Milano, Italy
Luca Sartori S-IN Soluzioni Informatiche, Via Giuseppe Ferrari, 14,36100 Vicenza, Italy
Chihae Yang Molecular Networks GmbH, Neumeyerstraße, 24,90411 Nürnberg, Germany
Emilio Benfenati Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Health Science, Via Mario Negro, 2,20156 Milano, Italy

Article ID: 1798

DOI: https://doi.org/10.59400/jts1798

Keywords: hazard assessment; risk assessment; toxicology; ecotoxicology; OFT; IUCLID; in silico model

Abstract

Since its establishment in 2002, the European Food Safety Authority (EFSA) has been providing independent scientific advice on risks associated with the food chain. This manuscript provides a description of EFSA’s chemical hazards database OpenFoodTox (OFT), future perspectives and activities. OFT aims at mapping all the hazard identification and characterisation data that have been published in outputs from EFSA throughout the years. To date, OFT contains data for more than 5700 chemical substances in the food/feed chain. In line with the One Substance-One Assessment approach as part of the Chemicals Strategy for Sustainability, EFSA aims to further improve data quality and interoperability of OFT with IUCLID 6 and the EU Common Data Platform on Chemical Safety. To enhance its usability as a supporting tool for risk assessment activities, OFT will be migrated to IUCLID 6. More data will be collected and added to OFT, including endpoints related to in vitro assays, non-critical effects and exposure values. Furthermore, new in silico models (e.g., tools for read-across and grouping) will be developed based on the data already present in OFT for chemicals and endpoints that have been tested, with the aim of estimating the corresponding properties for the untested chemicals and endpoints.

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Published

2025-01-03

How to Cite

Iovine, N., Roncaglioni, A., Sartori, L., Yang, C., & Benfenati, E. (2025). The evolution of the EFSA OpenFoodTox database. Journal of Toxicological Studies, 3(1), 1798. https://doi.org/10.59400/jts1798

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Vol. 3 No. 1 (2025): (In publishing)

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