The MCRA toolbox of models and data to support chemical mixture risk assessment

Voet, Hilko van der; Kruisselbrink, Johannes W.; Boer, W.J. de; Lenthe, Marco S. van; Heuvel, J.J.B. van den; Crépet, Amélie; Kennedy, Marc C.; Zilliacus, Johanna; Beronius, Anna; Tebby, Cléo; Brochot, Céline; Luckert, Claudia; Lampen, Alfonso; Rorije, Emiel; Sprong, Corinne; Klaveren, J.D. van

doi:10.1016/j.fct.2020.111185

Cited by 31 publications

(15 citation statements)

References 26 publications

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“…The overall objective of this project was to develop a tiered strategy for risk assessment of mixtures of multiple chemicals. This included the elaboration of new tools and functionalities that were subsequently integrated in the MCRA software (van der Voet et al, 2020).…”

Section: Background and Terms Of Reference As Provided By The Requestormentioning

confidence: 99%

“…The modular design of MCRA 9.0 has been described in van der Voet et al (2020), where also various examples of the use of the modules are given. In the current MCRA 9.0 there are 28 data modules, and 14 calculation/data modules.…”

Section: Modules Of Mcramentioning

confidence: 99%

“…a. Hazard characterisation model, including safety factorsvan der Voet et al, 2020). Hazard characterisations can include safety factors or not, and may be deterministic (e.g.…”

mentioning

confidence: 99%

“…d. In vitro to in vivo extrapolation (IVIVE) model(van der Voet et al, 2020). The IVIVE method implemented in MCRA is based on the following prerequisites: 1.…”

mentioning

confidence: 99%

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Feasibility study Open MCRA

Kruisselbrink

Lenthe

Voet

et al. 2021

EFSA Supporting Publications

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Section: Background and Terms Of Reference As Provided By The Requestormentioning

confidence: 99%

Section: Modules Of Mcramentioning

confidence: 99%

“…a. Hazard characterisation model, including safety factorsvan der Voet et al, 2020). Hazard characterisations can include safety factors or not, and may be deterministic (e.g.…”

mentioning

confidence: 99%

“…d. In vitro to in vivo extrapolation (IVIVE) model(van der Voet et al, 2020). The IVIVE method implemented in MCRA is based on the following prerequisites: 1.…”

mentioning

confidence: 99%

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Feasibility study Open MCRA

Kruisselbrink

Lenthe

Voet

et al. 2021

EFSA Supporting Publications

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“…The priority mixture selection will be based on the Maximum Cumulative Ratio (MCR, Price and Han, 2011 ) and Sparse Non-negative Matrix Underestimation (SNMU). The tools to set priority mixtures are embedded in the EuroMix open data and model platform and the details are described in van der Voet et al (2017) .…”

Section: How Do the Projects Link To Specific Aspects Of Mixture Riskmentioning

confidence: 99%

Current EU research activities on combined exposure to multiple chemicals

Bopp

Barouki

Brack

et al. 2018

Environment International

191

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Humans and wildlife are exposed to an intractably large number of different combinations of chemicals via food, water, air, consumer products, and other media and sources. This raises concerns about their impact on public and environmental health. The risk assessment of chemicals for regulatory purposes mainly relies on the assessment of individual chemicals. If exposure to multiple chemicals is considered in a legislative framework, it is usually limited to chemicals falling within this framework and co-exposure to chemicals that are covered by a different regulatory framework is often neglected. Methodologies and guidance for assessing risks from combined exposure to multiple chemicals have been developed for different regulatory sectors, however, a harmonised, consistent approach for performing mixture risk assessments and management across different regulatory sectors is lacking. At the time of this publication, several EU research projects are running, funded by the current European Research and Innovation Programme Horizon 2020 or the Seventh Framework Programme. They aim at addressing knowledge gaps and developing methodologies to better assess chemical mixtures, by generating and making available internal and external exposure data, developing models for exposure assessment, developing tools for in silico and in vitro effect assessment to be applied in a tiered framework and for grouping of chemicals, as well as developing joint epidemiological-toxicological approaches for mixture risk assessment and for prioritising mixtures of concern. The projects EDC-MixRisk, EuroMix, EUToxRisk, HBM4EU and SOLUTIONS have started an exchange between the consortia, European Commission Services and EU Agencies, in order to identify where new methodologies have become available and where remaining gaps need to be further addressed. This paper maps how the different projects contribute to the data needs and assessment methodologies and identifies remaining challenges to be further addressed for the assessment of chemical mixtures.

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PBPK Modeling to Simulate the Fate of Compounds in Living Organisms

Tebby

Brochot

2022

Methods in Molecular Biology

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The MCRA toolbox of models and data to support chemical mixture risk assessment

Cited by 31 publications

References 26 publications

Feasibility study Open MCRA

Feasibility study Open MCRA

Current EU research activities on combined exposure to multiple chemicals

PBPK Modeling to Simulate the Fate of Compounds in Living Organisms

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