Browsing by Author "Cubadda, F."
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- A conceptual framework for the collection of food products in a Total Diet StudyPublication . Turrini, A.; Lombardi-Boccia, G.; Aureli, F.; Cubadda, F.; D'Addezio, L.; D'Amato, M.; D'Evoli, L.; Darnerud, P.; Devlin, N.; Dias, M.G.; Jurković, M.; Kelleher, C.; Le Donne, C.; López Esteban, M.; Lucarini, M.; Martinez Burgos, M.; Martínez-Victoria, E.; McNulty, B.; Mistura, L.; Nugent, A.; Oktay Basegmez, H.; Oliveira, L.; Ozer, H.; Perelló, G.; Pite, M.; Presser, K.; Sokolić, D.; Vasco, E.; Volatier, J.L.A total diet study (TDS) provides representative and realistic data for assessing the dietary intake of chemicals, such as contaminants and residues, and nutrients, at a population level. Reproducing the diet through collection of customarily consumed foods and their preparation as habitually eaten is crucial to ensure representativeness, i.e., all relevant foods are included and all potential dietary sources of the substances investigated are captured. Having this in mind, a conceptual framework for building a relevant food-shopping list was developed as a research task in the European Union's 7th Framework Program project, 'Total Diet Study Exposure' (TDS-Exposure), aimed at standardising methods for food sampling, analyses, exposure assessment calculations and modelling, priority foods, and selection of chemical contaminants. A stepwise approach following the knowledge translation (KT) model for concept analysis is proposed to set up a general protocol for the collection of food products in a TDS in terms of steps (characterisation of the food list, development of the food-shopping list, food products collection) and pillars (background documentation, procedures, and tools). A simple model for structuring the information in a way to support the implementation of the process, by presenting relevant datasets, forms to store inherent information, and folders to record the results is also proposed. Reproducibility of the process and possibility to exploit the gathered information are two main features of such a system for future applications.
- Human health risk–benefit assessment of fish and other seafood: a scoping reviewPublication . Thomsen, S.T.; Assunção, Ricardo; Afonso, C.; Boué, G.; Cardoso, C.; Cubadda, F.; Garre, A.; Kruisselbrink, J.; Mantovani, A.; Pitter, J.; Poulsen, M.; Verhagen, H.; Ververis, E.; van der Voet, H.; Watzl, B.; Pires, S.Fish and other seafood are important sources of nutrients, but they are also sources of chemical contaminants that may cause adverse health effects. This article aimed to identify existing risk–benefit assessments (RBA) of fish, shellfish, and other seafood, compare methodologies, discuss differences and commonalities in findings, and identify limitations and ways forward for future studies. We conducted a scoping review of the scientific literature of studies in all languages published from 2000 through April 2019. We identified 106 RBA of fish and other seafood across Europe, Asia, North America, Africa, and at the global level. Studies were heterogeneous in terms of types of fish and other seafood considered, beneficial and adverse compounds assessed, and overall methodology. Collected data showed that a diet consisting of a variety of lean and fatty fish and other seafood is recommended for the overall population and that women of childbearing age and children should limit the consumption of fish and other seafood types that have a high likelihood of contamination. Our review emphasizes the need for evidence-based, up-to-date, and harmonized approaches in RBA in general.
- Physiologically based toxicokinetic models in aggregate exposure: A reviewPublication . Lamon, L.; Paini, A.; Siccardi, M.; Doyle, J.; McNamara, C.; Galea, K.S.; Ghosh, M.; Louro, Henriqueta; Silva, Maria Joao; El Yamani, N.; Dusinska, M.; Moeller, R.; Duca, R.C.; Cubadda, F.; Viegas, S.; Martins, C.; Price, P.This literature review explores the application of Physiologically Based Kinetic (PBK) models in aggregate exposure (AE) assessment across different chemical classes. It builds on the screening of 1119 publications and the identification of 40 relevant articles. The most frequently studied chemicals include volatile organic compounds and plant protection products, with metals, personal care products, persistent organic pollutants and plasticisers also represented. Most studies reported in this review are applied to human populations and build on human biomonitoring (HBM) data to enhance model reliability. However, some studies use animal models (primarily rat models) and apply cross-species extrapolation to the human AE scenario. Occupational exposure is taken into consideration as part of the AE scenario in a few studies. Many of the reviewed studies are designed in support of chemical risk assessment (CRA), illustrating the wide applicability of PBK models. The review discusses the joint role of HBM data and PBK model in AE scenarios, highlighting its importance for a reliable risk assessments. The studies identified and discussed in this review suggest a broad interpretation of AE. The diversity across case reported studies is attributed to varying interpretations and existing definitions of AE. Finally, the roles of forward and reverse dosimetry in refining AE assessments are discussed, highlighting their importance for future research. This scoping review provides a comprehensive overview of PBK model applications in addressing AE, serving as a valuable foundation for future research and development aimed at advancing human health protection towards the Next-Generation Risk Assessment (NGRA).
- A roadmap for a 21st century human biomonitoring toolboxPublication . Zare Jeddi, Maryam; Conrad, A.; Kolossa-Gehring, M.; Hopf, N.; Viegas, S.; Pasanen-Kase, R.; Sepai, O.; Galea, K.S.; Cubadda, F.; Louro, Henriqueta; Silva, Maria João; Nieuwenhuyse, A.V.; Santonen, T.; Scheepers, P.Current challenges in data comparability, integration, and management, hinder effective utilization of the large amount of data generated in environment and health studies. The European chapter of the International Society of Exposure Science (ISES Europe) Human Biomonitoring (HBM) Working Group is developing a global preregistration platform “FAIR Environment and Health Registry (FAIREHR)” to address these challenges. The focus is initially on the HBM domain, towards the implementation of FAIR (findable, accessible, interoperable, reusable) principles throughout the data lifecycle. Preregistration of HBM studies in a peer review-based registry like FAIREHR would stimulate communication and interaction among HBM communities leading to improved HBM study designs as well as generating comparable results worldwide. Using common standards and ontologies will make data better interoperable and functional for machine discovery. FAIREHR will also provide information on data licenses and request procedures necessary to access datasets of interest. Overall, the FAIREHR platform gathers many stakeholders (scientists, regulators, policy makers, life science companies, publishers, and funding bodies) interested in tracking and identifying planned, ongoing, and completed studies. FAIREHR is expected to benefit research, innovation and environment and public health policies by providing FAIR data that can be readily utilized for protecting human health.
- Unlocking the Potential of Environmental and Health Research with FAIREHRPublication . Zare Jeddi, Maryam; Hopf, N.; Louro, Henriqueta; Silva, Maria João; Costa, Carla; Viegas, S.; Scheepers, P.; Cubadda, F.; Ghosh, M.; Ali, I.; Santonen, T.; von Goetz, N.; Bessems, J.; Galea, K.S.Current challenges in data comparability, integration, and management, hinder effective utilization of the large amount of data generated in environment and health studies. The European chapter of the International Society of Exposure Science (ISES Europe) Human Biomonitoring (HBM) Working Group is developing a global preregistration platform “FAIR Environment and Health Registry (FAIREHR)” to address these challenges. The focus is initially on the HBM domain, towards the implementation of FAIR (findable, accessible, interoperable, reusable) principles throughout the data lifecycle. Preregistration of HBM studies in a peer review-based registry like FAIREHR would stimulate communication and interaction among HBM communities leading to improved HBM study designs as well as generating comparable results worldwide. Using common standards and ontologies will make data better interoperable and functional for machine discovery. FAIREHR will also provide information on data licenses and request procedures necessary to access datasets of interest. Overall, the FAIREHR platform gathers many stakeholders (scientists, regulators, policy makers, life science companies, publishers, and funding bodies) interested in tracking and identifying planned, ongoing, and completed studies. FAIREHR is expected to benefit research, innovation and environment and public health policies by providing FAIR data that can be readily utilized for protecting human health.