Metodología

Las metodologías orientan a los científicos en el proceso científico y proporcionan un marco paso a paso que permite determinar:

  • qué respuesta dar: describir la naturaleza exacta de la cuestión científica y los aspectos que quedan fuera del alcance de aquella. Los científicos suelen denominar tal proceso la «formulación del problema».
  • qué pruebas hay que recabar y utilizar:
    • identificar las pruebas científicas relevantes para una evaluación;
    • en caso necesario, complementar los datos de observaciones (ensayos en animales o células) con otras fuentes o métodos (conocimientos de expertos);
    • evaluar la calidad de las pruebas científicas y analizarlas de forma estructurada, coherente y trazable;
    • documentar el proceso para gestionar las pruebas de forma transparente.
  • cómo tomar decisiones: proporcionar un proceso transparente, racional y responsable de las decisiones científicas, de modo que otros científicos puedan repetir el proceso.

Innovative Risk Assessment Methodologies Programme (IRMA)

In 2022 EFSA established the Innovative Risk Assessment Methodologies (IRMA) Programme to ensure preparedness and knowledge of up-to-date risk assessment methodological developments.  The programme also aims to meet new scientific challenges that EFSA is called to face in the coming five years in food, feed, and environmental safety assessment. 

IRMA guarantees consistent and updated methodologies, prepares for new assessment needs driven by scientific and legislative changes, and enables rapid response to emerging risks and crises, enhancing the efficiency and reliability of EFSA's scientific advice.

Among the wide range of projects under the IRMA umbrella, below we highlight those of specific interest to our stakeholders:

Projects under the IRMA Programme

Risk Assessment is increasingly generating information using new approach methodologies (NAMs) as alternatives to animal testing. Yet, chemical risk assessments are still based mainly on toxicological data using animal models and many efforts are ongoing at EFSA, and other European and International agencies to integrate such NAMs in next generation risk assessment. In addition, European Commission services will publish a road map for the phasing out of animal studies, requested by over 1.2 million citizens to the European parliament, to further support these efforts and provide practical short-, mid- and long-term solutions.

Objectives: Develop in silico models and an open access platform: TKPlate to support the integration of NAMs in next generation risk assessment of chemicals for human, animal health and environmental risk assessment with a focus on toxicokinetic (TK) and toxicodynamic (TD) models.

Methodology: The project focuses on the development of TK and TD models for human populations, test species and farm animals and their integration in the TKPlate platform. These include physiologically based kinetic models in humans, test species and farm animals, TD models for benchmark dose modelling, dynamic energy budget models for species in the environment and other more complex models investigating mixture toxicity and impact of multiple stressors on humans and animal species.

When setting health-based guidance values (HBGVs) uncertainty factors are applied to extrapolate animal data to humans and to consider inter-human variability. Yet, little is known about toxicodynamic variability in humans, and it is unclear if the uncertainty factors are sufficiently protective.

ObjectivesImprove chemical risk assessment and refine HBGVs by addressing human variability in toxicodynamics (TD), more specifically understanding how differences in how individuals respond to toxic substances at cellular level, particularly in terms of cell stress and cell death pathways.

Methodology: The project addresses human variability in TD by generating cellular and transcriptional response data following the activation of specific stress and cell death pathways. An in vitro cell model of human peripheral blood lymphocytes is used as a source of freshly isolated cells from 150 individuals. Bayesian statistics is applied to model inter-individual differences.

Developmental neurotoxicity (DNT) is a serious public health concern and better knowledge of risk factors is crucial to minimise new cases of neurodevelopmental disorders and cognitive deficits.​ Several studies indicate that to explain current incidence of brain disabilities in humans, exposure to chemicals must be considered. ​Current DNT in vitro testing battery has gaps in coverage of neurodevelopment processes and cell types.

Objectives: Enhance the understanding of how chemical exposures affect brain health and development, focusing particularly on glial cells. The project develops and implements New Approach Methodologies (NAMs) to assess the toxicity of food toxicants on glial cell development and function, addressing existing gaps in developmental neurotoxicity testing.

Methodology: The project employs an integrative approach that combines transcriptomics , in vitro assays, and Adverse Outcome Pathway (AOP) development. It involves the creation of novel in vitro models to predict glial-specific toxicological events, the expansion of existing AOP networks to incorporate glial-related key events, and the use of transcriptomics to generate and analyse relevant datasets. The findings will contribute to refining risk assessment frameworks and regulatory guidelines on DNT.

The lack of specific data requirements for pesticides residues, i.e. metabolites, in crops and/or animal products, e.g. milk, limits the harmonisation of risk assessment which has to be carried out on a case-by-case basis.

Objectives: Integrate New Approach Methodologies (NAMs) into the risk assessment of pesticide metabolites. The project is developing semi-automated and standardised workflows to improve the efficiency, transparency and harmonisation of pesticide metabolite assessments, reducing reliance on traditional testing methods.

Methodology: The project involves the creation of a semi-automated workflow for mutagenicity assessment using the OECD QSAR Toolbox. Case-studies are conducted to demonstrate the practical implementation of these workflows, overall contributing to regulatory guidance on pesticide metabolite risk assessment.

The EU Green Deal aims at reducing the risk associated with pesticides use and reversing biodiversity loss. The development of risk assessment methodologies for non-target organisms could contribute to such ambitions.

Objectives: Advance Environmental Risk Assessment (ERA) of plant protection products (pesticides) by integrating landscape and ecological features into risk assessment methodologies. The project addresses knowledge gaps in terrestrial ecotoxicology and enhances the assessment of non-target organisms in agro-ecosystems.

Methodology: The project involves the collection and generation of data to improve exposure and sensitivity assessments of non-target organisms. It also focuses on the identification of tools, such as population models, to assess effects at higher biological levels. Additionally, the feasibility of developing an interoperable environment for risk assessment is explored. The findings will support the revision and development of guidance documents to enhance ERA methodologies.

Historical Control Data (HCD) are data from studies conducted under the same or similar conditions as the toxicity study under assessment. Their primary use is to support the interpretation of (possible) treatment-related effects in the toxicity study. However, there is no harmonised approach on the collection, evaluation and use of HCD.

Objectives: Elucidate the requirements for the use of HCD to better interpret toxicity studies used for regulatory purposes; clarify how HCD should be compiled as part of the regulatory dossier; and assist the interpretation of HCD in the context of the evaluation of regulatory studies.

Methodology: Information from the scientific literature, publicly available databases and stakeholder experience (survey, workshop and technical hearings) have been used. The EFSA Panel on Plant Protection Products and their Residues (PPR) developed a quantitative approach for the collation, evaluation and use of HCDusing a decision scheme which includes seven distinct steps grouped in three overall clusters of activity: planning, evaluation of the HCD, and use of HCD. In addition, illustrative case studies are available to elucidate the proposed methodology and templates offered to improve harmonisation for data submission.

European law requires that no active substance can be authorised if it causes endocrine disruption i.e. has an adverse effect on endocrine activity. To support this requirement, it is necessary to better understand the endocrine disrupting mode of action of active substances.

Objectives: Develop Adverse Outcome Pathways (AOPs) for the identification of substances with endocrine-disrupting properties, addressing regulatory challenges during the assessment of endocrine activity, particularly within the estrogenic, androgenic, thyroidal, and steroidogenic modalities.

Methodology: A top-down approach is used to construct AOPs, identifying key molecular initiating events and key events linked to endocrine disruption. Collaboration with the European Chemicals Agency (ECHA) and the Joint Research Centre (JRC) ensures harmonisation with existing frameworks. The developed AOPs will be submitted to the OECD AOP Wiki for broader regulatory adoption.

Some pesticides may have the potential to disrupt brain development. It is crucial to assess developmental neurotoxicity of chemical substances and to accelerate the development of in vitro methods to test the impact of chemicals on nervous system development.

Objectives: Improve the assessment of environmental neurotoxicants by developing an integrated in vitro neurotoxicity testing strategy, advancing hazard identification for developmental neurotoxicity (DNT) and other forms of neurotoxicity associated with chemical exposures, particularly pesticides.

Methodology: The project involves the development of a comprehensive DNT testing battery, incorporating in vitro assays and computational modelling to complement or replace in vivo testing. Data generated from these assays is analysed to refine assessment frameworks, with guidance documents developed to support regulatory implementation. Collaboration with the OECD, the Danish Environmental Protection Agency, and the US Environmental Protection Agency ensures alignment with international best practices.

New Approach Methodologies (NAMs) are considered promising for the assessment of nanomaterials, reducing the use of animal testing. ​Nanotechnology is a cross-cutting area impacting novel foods, feed additives, and food contact materials.

Objectives: Develop recommendations on the use of NAMs for nanomaterials and nanoparticles risk assessment in food and feed, and foster NAMs’ implementation within EFSA’s regulatory evaluations. The goal is to provide guidance and case studies to support EFSA Panels and applicants in adopting these innovative methodologies, minimising animal testing while moving towards mechanistic-based risk assessment. 

Methodology: The project identifies relevant data sources, establishes protocols, generates data and develops tools for integrating NAMs into risk assessments. The development of a qualification system for NAMs and NAM-based integrated approaches to testing and assessment case studies demonstrate the practical applications. Engagement with stakeholders and other scientific advisory bodies ensures alignment with international developments and regulatory relevance. Lastly, initial provisions for guidance on NAMs data integration and implementing hypothesis-driven Next Generation Risk Assessment is being developed, with specific focus on the area of food and feed nanotechnology.

There is resistance among some scientists towards the use of in vitro New Approach Methodology (NAM) test systems because of doubts about their representation of human physiology, absence of a consensus framework for interpreting toxicogenomics data, and the need for advanced bioinformatics tools for hazard characterisation .

Objectives: Advance chemical safety assessment by incorporating toxicogenomics and mechanism-based risk evaluation to develop a methodology for interpreting transcriptomics data, establish a quantitative framework and integrate bioinformatics for mapping Adverse Outcome Pathways.

Methodology: The project combines computational modelling, bioinformatics, and toxicogenomics to enhance risk assessment. It develops algorithms for transcriptomics interpretation, designs a prototype toxicogenomics tool, and aligns methodologies with international standards.

The project addresses the increasing complexity of novel food /feed products containing protein and the need to modernise protein safety assessment which is currently based on Codex Alimentarius guidelines published in 2003-2009. 

Objective: Clarify and advance protein safety assessment making use of experience gained and new scientific advances achieved over the last 20 years. Through the review of trends and the exploration of new strategies, it aims to develop new approaches for protein safety assessments. 

Methodology: The main activities are outsourcing and a workshop to communicate findings and gather feedback. This involves developing new approaches for allergenicity assessment and in silico protein toxicity prediction software. The project is engaging with Codex Alimentarius and aims to revise current risk assessment strategies for open reading frames analysis.

Although not the focus of its risk assessment, EFSA’s 2015 scientific opinion includes an overview of data and literature summarising how the choice of ingredients, the storage method and the temperature at which food is cooked can influence the amount of acrylamide in different food types and, therefore, the level of dietary exposure .

Although not the focus of its risk assessment, EFSA’s 2015 scientific opinion includes an overview of data and literature summarising how the choice of ingredients, the storage method and the temperature at which food is cooked can influence the amount of acrylamide in different food types and, therefore, the level of dietary exposure.

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